TY  - CHAP
AU  - Abolmasov, Biljana
AU  - Marjanović, Miloš
AU  - Đurić, Uroš
AU  - Krušić, Jelka
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3376
AB  - The University of Belgrade, Faculty of Mining and Geology has been involved in landslide risk reduction activities at the national, regional, and site-specific levels in Serbia for decades. Since 2011 the Faculty has had several activities closely connected with the International Consortium on Landslides, including the International Programme on Landslides Projects 181, 210 and 248, as well as World Centre of Excellency (WCoE) from 2017. In the past decade the Faculty of Mining and Geology was involved in several national, regional and local projects funded by the People of Japan, UNDP and The World Bank on landslide risk reduction in Serbia, Bosnia and Herzegovina and North Macedonia. They all closely involved many stakeholders from national to local authorities including Ministries, Local Self Governments, Public Enterprises, Emergency Offices and Civil Protec-tion units. In this report, the activities of WCoE for national and local authorities on landslide risk reduction will be presented.
PB  - Springer, Cham
T2  - Progress in Landslide Research and Technology
T1  - An Integrated Approach to Landslides Risk Management for Local and National Authorities
EP  - 360
IS  - 2
SP  - 355
VL  - 2
DO  - 10.1007/978-3-031-44296-4_20
ER  - 

@inbook{
author = "Abolmasov, Biljana and Marjanović, Miloš and Đurić, Uroš and Krušić, Jelka",
year = "2023",
abstract = "The University of Belgrade, Faculty of Mining and Geology has been involved in landslide risk reduction activities at the national, regional, and site-specific levels in Serbia for decades. Since 2011 the Faculty has had several activities closely connected with the International Consortium on Landslides, including the International Programme on Landslides Projects 181, 210 and 248, as well as World Centre of Excellency (WCoE) from 2017. In the past decade the Faculty of Mining and Geology was involved in several national, regional and local projects funded by the People of Japan, UNDP and The World Bank on landslide risk reduction in Serbia, Bosnia and Herzegovina and North Macedonia. They all closely involved many stakeholders from national to local authorities including Ministries, Local Self Governments, Public Enterprises, Emergency Offices and Civil Protec-tion units. In this report, the activities of WCoE for national and local authorities on landslide risk reduction will be presented.",
publisher = "Springer, Cham",
journal = "Progress in Landslide Research and Technology",
booktitle = "An Integrated Approach to Landslides Risk Management for Local and National Authorities",
pages = "360-355",
number = "2",
volume = "2",
doi = "10.1007/978-3-031-44296-4_20"
}

Abolmasov, B., Marjanović, M., Đurić, U.,& Krušić, J.. (2023). An Integrated Approach to Landslides Risk Management for Local and National Authorities. in Progress in Landslide Research and Technology
Springer, Cham., 2(2), 355-360.
https://doi.org/10.1007/978-3-031-44296-4_20

Abolmasov B, Marjanović M, Đurić U, Krušić J. An Integrated Approach to Landslides Risk Management for Local and National Authorities. in Progress in Landslide Research and Technology. 2023;2(2):355-360.
doi:10.1007/978-3-031-44296-4_20 .

Abolmasov, Biljana, Marjanović, Miloš, Đurić, Uroš, Krušić, Jelka, "An Integrated Approach to Landslides Risk Management for Local and National Authorities" in Progress in Landslide Research and Technology, 2, no. 2 (2023):355-360,
https://doi.org/10.1007/978-3-031-44296-4_20 . .

TY  - CHAP
AU  - Abolmasov, Biljana
AU  - Stanković, Ranka
AU  - Marjanović, Miloš
AU  - Vulović, Nikola
AU  - Đurić, Uroš
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3377
AB  - In the framework of the project “Mainstreaming Climate Resilience in the Road Transportation Management in Serbia (CliRtheRoads)”, a complex mapping tool was developed to support the Government of Serbia and Public Enterprise Roads of Serbia in climate change adaptation planning and management. The software solution comprises of: a web portal for data entry and management for authorised users; a publicly available web-GIS application; a mobile GIS application; and a back-end database. This paper briefly overviews the system, focusing on the landslide data model. Therein, the main system and software solution breakthrough is automatizing the estimation of investment costs of engineering and non-engineering measures recommended at affected locations along the road network. A retrospective on its applicability and user feedback is also included. The objective was to facilitate seamless road management by providing necessary data in a simple, understandable fashion, indicating which locations on the road network have higher priority. The introduced level of automation allows easier decision-making and investment planning.
PB  - Springer, Cham
T2  - Progress in Landslide Research and Technology
T1  - CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia
EP  - 409
IS  - 2
SP  - 403
VL  - 2
DO  - 10.1007/978-3-031-44296-4_23
ER  - 

@inbook{
author = "Abolmasov, Biljana and Stanković, Ranka and Marjanović, Miloš and Vulović, Nikola and Đurić, Uroš",
year = "2023",
abstract = "In the framework of the project “Mainstreaming Climate Resilience in the Road Transportation Management in Serbia (CliRtheRoads)”, a complex mapping tool was developed to support the Government of Serbia and Public Enterprise Roads of Serbia in climate change adaptation planning and management. The software solution comprises of: a web portal for data entry and management for authorised users; a publicly available web-GIS application; a mobile GIS application; and a back-end database. This paper briefly overviews the system, focusing on the landslide data model. Therein, the main system and software solution breakthrough is automatizing the estimation of investment costs of engineering and non-engineering measures recommended at affected locations along the road network. A retrospective on its applicability and user feedback is also included. The objective was to facilitate seamless road management by providing necessary data in a simple, understandable fashion, indicating which locations on the road network have higher priority. The introduced level of automation allows easier decision-making and investment planning.",
publisher = "Springer, Cham",
journal = "Progress in Landslide Research and Technology",
booktitle = "CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia",
pages = "409-403",
number = "2",
volume = "2",
doi = "10.1007/978-3-031-44296-4_23"
}

Abolmasov, B., Stanković, R., Marjanović, M., Vulović, N.,& Đurić, U.. (2023). CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia. in Progress in Landslide Research and Technology
Springer, Cham., 2(2), 403-409.
https://doi.org/10.1007/978-3-031-44296-4_23

Abolmasov B, Stanković R, Marjanović M, Vulović N, Đurić U. CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia. in Progress in Landslide Research and Technology. 2023;2(2):403-409.
doi:10.1007/978-3-031-44296-4_23 .

Abolmasov, Biljana, Stanković, Ranka, Marjanović, Miloš, Vulović, Nikola, Đurić, Uroš, "CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia" in Progress in Landslide Research and Technology, 2, no. 2 (2023):403-409,
https://doi.org/10.1007/978-3-031-44296-4_23 . .

TY  - CONF
AU  - Marjanović, Miloš
AU  - Sandić, Cvjetko
AU  - Đurić, Uroš
AU  - Abolmasov, Biljana
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3357
AB  - Although without official standardization, landslide susceptibility models (LSM) have entered preliminary stages of design and planning practice worldwide. As design and planning itself undergoes from lower to higher level of detail, different scales of LSM apply. Nevertheless, the LSMs are mainly produced in regional scales, whereas national and local are rarely available. Limitations of downscaling and upscaling LSMs are considered herein, by comparing LSMs coming from continental scale on one hand, and regional scale on the other, while the validation was performed using national scale model (Figure 1) at 30 m pixel resolution. Pan- European model (Wilde et al. 2018) is downscaled from 200 to 30 m pixel resolution using re-gridding method based on various interpolation techniques (linear, spline, Kriging) over the area of the City of Doboj in Republic of Srpska (Bosnia and Herzegovina). The LSM for the City of Doboj (Sandić et al. 2023) was upscaled from 5 to 30 m resolution using various resampling techniques (nearest neighbor, bilinear interpolation and cubic convolution). All maps were made using heuristic or combined heuristic approaches with standard landslide conditioning factors as raster inputs (geological, geomorphological, environmental, etc.). The best performing downscaling option was spline interpolation, while cubic convolution gave the best match against the referent LSM for the upscaling. Other downscaling variants tend to pixelate the map at 30 m resolution, whereas upscaling was not that considerably affected by technique choice. For large scale urban planning and preliminary design it is important to avoid pixilation as much as possible and smoothen the susceptibility classes so they can be compared against various elements, such as road and railway network features (higher-order curves, bridges, tunnels) and urban fabric footprints (housing, industrial, infrastructure). Results indicate that downscaling can be misleading and should be avoided if there is time and resource to perform appropriate local or regional scale LSM.
PB  - OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy
C3  - 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book
T1  - Upscaling and downscaling landslide susceptibility maps
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3357
ER  - 

@conference{
author = "Marjanović, Miloš and Sandić, Cvjetko and Đurić, Uroš and Abolmasov, Biljana",
year = "2023",
abstract = "Although without official standardization, landslide susceptibility models (LSM) have entered preliminary stages of design and planning practice worldwide. As design and planning itself undergoes from lower to higher level of detail, different scales of LSM apply. Nevertheless, the LSMs are mainly produced in regional scales, whereas national and local are rarely available. Limitations of downscaling and upscaling LSMs are considered herein, by comparing LSMs coming from continental scale on one hand, and regional scale on the other, while the validation was performed using national scale model (Figure 1) at 30 m pixel resolution. Pan- European model (Wilde et al. 2018) is downscaled from 200 to 30 m pixel resolution using re-gridding method based on various interpolation techniques (linear, spline, Kriging) over the area of the City of Doboj in Republic of Srpska (Bosnia and Herzegovina). The LSM for the City of Doboj (Sandić et al. 2023) was upscaled from 5 to 30 m resolution using various resampling techniques (nearest neighbor, bilinear interpolation and cubic convolution). All maps were made using heuristic or combined heuristic approaches with standard landslide conditioning factors as raster inputs (geological, geomorphological, environmental, etc.). The best performing downscaling option was spline interpolation, while cubic convolution gave the best match against the referent LSM for the upscaling. Other downscaling variants tend to pixelate the map at 30 m resolution, whereas upscaling was not that considerably affected by technique choice. For large scale urban planning and preliminary design it is important to avoid pixilation as much as possible and smoothen the susceptibility classes so they can be compared against various elements, such as road and railway network features (higher-order curves, bridges, tunnels) and urban fabric footprints (housing, industrial, infrastructure). Results indicate that downscaling can be misleading and should be avoided if there is time and resource to perform appropriate local or regional scale LSM.",
publisher = "OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy",
journal = "6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book",
title = "Upscaling and downscaling landslide susceptibility maps",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3357"
}

Marjanović, M., Sandić, C., Đurić, U.,& Abolmasov, B.. (2023). Upscaling and downscaling landslide susceptibility maps. in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book
OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy..
https://hdl.handle.net/21.15107/rcub_grafar_3357

Marjanović M, Sandić C, Đurić U, Abolmasov B. Upscaling and downscaling landslide susceptibility maps. in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book. 2023;.
https://hdl.handle.net/21.15107/rcub_grafar_3357 .

Marjanović, Miloš, Sandić, Cvjetko, Đurić, Uroš, Abolmasov, Biljana, "Upscaling and downscaling landslide susceptibility maps" in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book (2023),
https://hdl.handle.net/21.15107/rcub_grafar_3357 .

TY  - CONF
AU  - Abolmasov, Biljana
AU  - Stanković, Ranka
AU  - Vulović, Nikola
AU  - Marjanović, Miloš
AU  - Đurić, Uroš
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3356
AB  - Within the project Mainstreaming Climate Resilience in the Road Transportation Management in Serbia (CliRtheRoads), a complex software solution was developed to support Public Enterprise Roads of Serbia in climate change adaptation planning and management. The software solution comprises 1) web portal for data entry and management for authorised users 2) publicly available web GIS part 3) mobile GIS application and 4) back-end database (Figure 1). In order to store and process the data collected during field visits and surveys, the data base developed in project first phase (Valjevo test area), was modified to include new datasets and to store new datatypes (as floods), and new modules (as activity cost) for Kraljevo test area. Both test areas have been chosen due theirs diversified characteristics, many climate related hazards, and the fact they suffered greatly from disasters recently (Abolmasov et al. 2017, Abolmasov et al. 2021). The database was upgraded to new model aimed for maintaining legacy data from both test areas, but also for future infrastructure resilience projects based on same approach, to enable
that all data will be stored and mapped in a unified manner. The data model include 1) main concepts (entity types) for the instabilities, with detailed data comprising common and specific attributes, 2) storage of multimedia (mainly photo from field work, but possible video as well), 3) knowledge base with cost of activities, including catalogue per each entity type with job type and description, unit and total price, maintenance type (regular maintenance, rehabilitation, urgent maintenance), including recommending activities (system allow user to add specific activities, description and cost that is further calculated and aggregated with other data); 4) secondary data from other sources (other projects, legacy data and external resources), or from interpreted data. The data was stored in the PostgreSQL Database, a web application was developed (using PHP) to facilitate data input, maintain knowledge database and calculate cost of recommended activities. There is a total of 461 records with fully described instabilities (slides, falls, topples, flows), documented by large number of photographs from the field. Additionally, every record is supplemented by engineering solution to support field engineers or decision makers for better road management in climate changing conditions.
PB  - OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy
C3  - 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book
T1  - A landslide data base model for ClirTheRoads project in Serbia
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3356
ER  - 

@conference{
author = "Abolmasov, Biljana and Stanković, Ranka and Vulović, Nikola and Marjanović, Miloš and Đurić, Uroš",
year = "2023",
abstract = "Within the project Mainstreaming Climate Resilience in the Road Transportation Management in Serbia (CliRtheRoads), a complex software solution was developed to support Public Enterprise Roads of Serbia in climate change adaptation planning and management. The software solution comprises 1) web portal for data entry and management for authorised users 2) publicly available web GIS part 3) mobile GIS application and 4) back-end database (Figure 1). In order to store and process the data collected during field visits and surveys, the data base developed in project first phase (Valjevo test area), was modified to include new datasets and to store new datatypes (as floods), and new modules (as activity cost) for Kraljevo test area. Both test areas have been chosen due theirs diversified characteristics, many climate related hazards, and the fact they suffered greatly from disasters recently (Abolmasov et al. 2017, Abolmasov et al. 2021). The database was upgraded to new model aimed for maintaining legacy data from both test areas, but also for future infrastructure resilience projects based on same approach, to enable
that all data will be stored and mapped in a unified manner. The data model include 1) main concepts (entity types) for the instabilities, with detailed data comprising common and specific attributes, 2) storage of multimedia (mainly photo from field work, but possible video as well), 3) knowledge base with cost of activities, including catalogue per each entity type with job type and description, unit and total price, maintenance type (regular maintenance, rehabilitation, urgent maintenance), including recommending activities (system allow user to add specific activities, description and cost that is further calculated and aggregated with other data); 4) secondary data from other sources (other projects, legacy data and external resources), or from interpreted data. The data was stored in the PostgreSQL Database, a web application was developed (using PHP) to facilitate data input, maintain knowledge database and calculate cost of recommended activities. There is a total of 461 records with fully described instabilities (slides, falls, topples, flows), documented by large number of photographs from the field. Additionally, every record is supplemented by engineering solution to support field engineers or decision makers for better road management in climate changing conditions.",
publisher = "OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy",
journal = "6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book",
title = "A landslide data base model for ClirTheRoads project in Serbia",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3356"
}

Abolmasov, B., Stanković, R., Vulović, N., Marjanović, M.,& Đurić, U.. (2023). A landslide data base model for ClirTheRoads project in Serbia. in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book
OIC S.r.l., Viale della Giovine Italia, 17, 50122 Firenze, Italy..
https://hdl.handle.net/21.15107/rcub_grafar_3356

Abolmasov B, Stanković R, Vulović N, Marjanović M, Đurić U. A landslide data base model for ClirTheRoads project in Serbia. in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book. 2023;.
https://hdl.handle.net/21.15107/rcub_grafar_3356 .

Abolmasov, Biljana, Stanković, Ranka, Vulović, Nikola, Marjanović, Miloš, Đurić, Uroš, "A landslide data base model for ClirTheRoads project in Serbia" in 6th World Landslide Forum, Florence, Italy, 14-17 November 2023, Abstract book (2023),
https://hdl.handle.net/21.15107/rcub_grafar_3356 .

TY  - CONF
AU  - Marjanović, Miloš
AU  - Abolmasov, Biljana
AU  - Đurić, Uroš
AU  - Krušić, Jelka
AU  - Bogdanović, Snežana
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2662
AB  - Rockfalls are common in hilly and mountainous areas, especially along roads with engineered slopes and cuts. Such is the case for most of the state and local road routes in Central, Serbia, which was the subject in this case study. A road network of 276 km covering roughly 1700
km2 bewteen the cities of Kraljevo, Čačak and Ivanjica is presented. Assessing of such wide areas needs to be conducted from large to site-specific scale, i.e., using GIS spatial tools and 2D-3D stability models, respectively. The regional scale of assessment using GIS tools was in focus. The primary input was the Digital Terrain Model, obtained from open data ALOS mission at 12.5 m resolution, as well as appropriate sheets of geological maps at 100k scale. The first step was to delineate areas that can host unstable blocks by inspecting planar sliding kinematic condition against available data. These included raster data (slope angle and azimuth) but also, point-based data (discontinuities’ strike, dip and friction angle) which had to be estimated or interpolated across the area by various GIS operations. In total, there were nearly 5000 potential detachments delineated. Further step was to run the rockfall simulation by using these detachment zones as initiation sources in a simple kinetic model CONEFALL, standalone software. The output model simulated several thousands of rockfalls, with various runout distance (<650
m), velocity (<46.5 m/s) and energy (<540 kJ). When overlapped with the road network, this model revealed the road exposure to rockfall. Locations with runouts that reached the road lines make about 6.7 % of the total network length. Zones of estimated energies higher than serviceable threshold (300 kJ) occupy 0.9 % of the total and require additional remediation design. Presented analysis is a promising tool for supporting planning and decision making in the road management sector.
PB  - Faculty of Civil Engineering, University of Rijeka
PB  - Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb
C3  - Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region
T1  - Regional rockfall exposure assessment, experiences from Serbia
EP  - 150
SP  - 145
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2662
ER  - 

@conference{
author = "Marjanović, Miloš and Abolmasov, Biljana and Đurić, Uroš and Krušić, Jelka and Bogdanović, Snežana",
year = "2022",
abstract = "Rockfalls are common in hilly and mountainous areas, especially along roads with engineered slopes and cuts. Such is the case for most of the state and local road routes in Central, Serbia, which was the subject in this case study. A road network of 276 km covering roughly 1700
km2 bewteen the cities of Kraljevo, Čačak and Ivanjica is presented. Assessing of such wide areas needs to be conducted from large to site-specific scale, i.e., using GIS spatial tools and 2D-3D stability models, respectively. The regional scale of assessment using GIS tools was in focus. The primary input was the Digital Terrain Model, obtained from open data ALOS mission at 12.5 m resolution, as well as appropriate sheets of geological maps at 100k scale. The first step was to delineate areas that can host unstable blocks by inspecting planar sliding kinematic condition against available data. These included raster data (slope angle and azimuth) but also, point-based data (discontinuities’ strike, dip and friction angle) which had to be estimated or interpolated across the area by various GIS operations. In total, there were nearly 5000 potential detachments delineated. Further step was to run the rockfall simulation by using these detachment zones as initiation sources in a simple kinetic model CONEFALL, standalone software. The output model simulated several thousands of rockfalls, with various runout distance (<650
m), velocity (<46.5 m/s) and energy (<540 kJ). When overlapped with the road network, this model revealed the road exposure to rockfall. Locations with runouts that reached the road lines make about 6.7 % of the total network length. Zones of estimated energies higher than serviceable threshold (300 kJ) occupy 0.9 % of the total and require additional remediation design. Presented analysis is a promising tool for supporting planning and decision making in the road management sector.",
publisher = "Faculty of Civil Engineering, University of Rijeka, Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb",
journal = "Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region",
title = "Regional rockfall exposure assessment, experiences from Serbia",
pages = "150-145",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2662"
}

Marjanović, M., Abolmasov, B., Đurić, U., Krušić, J.,& Bogdanović, S.. (2022). Regional rockfall exposure assessment, experiences from Serbia. in Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region
Faculty of Civil Engineering, University of Rijeka., 145-150.
https://hdl.handle.net/21.15107/rcub_grafar_2662

Marjanović M, Abolmasov B, Đurić U, Krušić J, Bogdanović S. Regional rockfall exposure assessment, experiences from Serbia. in Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region. 2022;:145-150.
https://hdl.handle.net/21.15107/rcub_grafar_2662 .

Marjanović, Miloš, Abolmasov, Biljana, Đurić, Uroš, Krušić, Jelka, Bogdanović, Snežana, "Regional rockfall exposure assessment, experiences from Serbia" in Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region (2022):145-150,
https://hdl.handle.net/21.15107/rcub_grafar_2662 .

TY  - CONF
AU  - Đurić, Uroš
AU  - Abolmasov, Biljana
AU  - Marjanović, Miloš
AU  - Jocković, Sanja
AU  - Marjanović, Miloš
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2661
AB  - Landslides are one of the most often natural disasters that have an extensive impact on society including loss of life, destruction of infrastructure and properties, damage to land and loss of natural resources. Landslide losses can significantly vary and they depend on a variety of different criteria such as the size and type of landslide, lithological setting of terrain, the terrain slope gradient, the quality of materials used for construction, and the construction typology. Damage from landslides is usually characterized as either direct or indirect and in most questionnaires only the data referring to the direct damage is collected. In this paper, a landslide damage questionnaire that can be used for landslide damage characterization and determination of landslide hazard and risk in urban areas is proposed. The questionnaire contains 11 groups of questions that include all necessary fields for gathering the data which is essential for both landslide hazard and risk estimation. It was used as an inventory landslide damage form in suburban housings which usually occupy larger land plots, while objects built on such plots are mostly houses for an individual living or ancillary type.
PB  - Faculty of Civil Engineering, University of Rijeka
PB  - Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb
C3  - Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region
T1  - A proposal for the landslide damage questionnaire in suburban areas
EP  - 130
SP  - 125
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2661
ER  - 

@conference{
author = "Đurić, Uroš and Abolmasov, Biljana and Marjanović, Miloš and Jocković, Sanja and Marjanović, Miloš",
year = "2022",
abstract = "Landslides are one of the most often natural disasters that have an extensive impact on society including loss of life, destruction of infrastructure and properties, damage to land and loss of natural resources. Landslide losses can significantly vary and they depend on a variety of different criteria such as the size and type of landslide, lithological setting of terrain, the terrain slope gradient, the quality of materials used for construction, and the construction typology. Damage from landslides is usually characterized as either direct or indirect and in most questionnaires only the data referring to the direct damage is collected. In this paper, a landslide damage questionnaire that can be used for landslide damage characterization and determination of landslide hazard and risk in urban areas is proposed. The questionnaire contains 11 groups of questions that include all necessary fields for gathering the data which is essential for both landslide hazard and risk estimation. It was used as an inventory landslide damage form in suburban housings which usually occupy larger land plots, while objects built on such plots are mostly houses for an individual living or ancillary type.",
publisher = "Faculty of Civil Engineering, University of Rijeka, Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb",
journal = "Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region",
title = "A proposal for the landslide damage questionnaire in suburban areas",
pages = "130-125",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2661"
}

Đurić, U., Abolmasov, B., Marjanović, M., Jocković, S.,& Marjanović, M.. (2022). A proposal for the landslide damage questionnaire in suburban areas. in Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region
Faculty of Civil Engineering, University of Rijeka., 125-130.
https://hdl.handle.net/21.15107/rcub_grafar_2661

Đurić U, Abolmasov B, Marjanović M, Jocković S, Marjanović M. A proposal for the landslide damage questionnaire in suburban areas. in Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region. 2022;:125-130.
https://hdl.handle.net/21.15107/rcub_grafar_2661 .

Đurić, Uroš, Abolmasov, Biljana, Marjanović, Miloš, Jocković, Sanja, Marjanović, Miloš, "A proposal for the landslide damage questionnaire in suburban areas" in Proceedings of the 5th Regional Symposium on Landslides in the Adriatic-Balkan Region (2022):125-130,
https://hdl.handle.net/21.15107/rcub_grafar_2661 .

TY  - CONF
AU  - Marjanović, Miloš
AU  - Abolmasov, Biljana
AU  - Berisavljević, Zoran
AU  - Pejić, Marko
AU  - Vranić, Petko
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3030
AB  - In this article, we are elaborating an example of predictive rockfall assessment by
using Terrestrial Laser Scanning (TLS) in monitoring a road cut, hosted in flysch rock formation,
near Ljig in Serbia. A sequence of rockfall events from 2013-2019 is presented, while the cut
has been more broadly investigated in our earlier work. Beside occasional rockfalls which are
routinely detected by annual TLS monitoring, it was possible to track the pre-failure
deformations preceding a series of rockfalls, reaching 0.3 m3 in volume with 0.5 annual
reoccurrence probability. Monitoring enabled identification of subtle displacements of about 1
cm after the first event in 2014 and keeping track of its progression. After a series of events in
the following years, we were able to define the pre-failure threshold which can be applied to the
adjacent rock blocks, assuming a similar block volume. It also enabled us to anticipate and
simulate the event before it happens. This approach allows planning, prevention and protection,
and there is a great deal of interest to standardize it for high-risk slopes and cuts in rock masses.
PB  - IOP Publishing
C3  - IOP Conference Series: Earth and Environmental Science
T1  - Pre-failure deformation monitoring as rockfall prediction tool
DO  - 10.1088/1755-1315/833/1/012197
ER  - 

@conference{
author = "Marjanović, Miloš and Abolmasov, Biljana and Berisavljević, Zoran and Pejić, Marko and Vranić, Petko",
year = "2021",
abstract = "In this article, we are elaborating an example of predictive rockfall assessment by
using Terrestrial Laser Scanning (TLS) in monitoring a road cut, hosted in flysch rock formation,
near Ljig in Serbia. A sequence of rockfall events from 2013-2019 is presented, while the cut
has been more broadly investigated in our earlier work. Beside occasional rockfalls which are
routinely detected by annual TLS monitoring, it was possible to track the pre-failure
deformations preceding a series of rockfalls, reaching 0.3 m3 in volume with 0.5 annual
reoccurrence probability. Monitoring enabled identification of subtle displacements of about 1
cm after the first event in 2014 and keeping track of its progression. After a series of events in
the following years, we were able to define the pre-failure threshold which can be applied to the
adjacent rock blocks, assuming a similar block volume. It also enabled us to anticipate and
simulate the event before it happens. This approach allows planning, prevention and protection,
and there is a great deal of interest to standardize it for high-risk slopes and cuts in rock masses.",
publisher = "IOP Publishing",
journal = "IOP Conference Series: Earth and Environmental Science",
title = "Pre-failure deformation monitoring as rockfall prediction tool",
doi = "10.1088/1755-1315/833/1/012197"
}

Marjanović, M., Abolmasov, B., Berisavljević, Z., Pejić, M.,& Vranić, P.. (2021). Pre-failure deformation monitoring as rockfall prediction tool. in IOP Conference Series: Earth and Environmental Science
IOP Publishing..
https://doi.org/10.1088/1755-1315/833/1/012197

Marjanović M, Abolmasov B, Berisavljević Z, Pejić M, Vranić P. Pre-failure deformation monitoring as rockfall prediction tool. in IOP Conference Series: Earth and Environmental Science. 2021;.
doi:10.1088/1755-1315/833/1/012197 .

Marjanović, Miloš, Abolmasov, Biljana, Berisavljević, Zoran, Pejić, Marko, Vranić, Petko, "Pre-failure deformation monitoring as rockfall prediction tool" in IOP Conference Series: Earth and Environmental Science (2021),
https://doi.org/10.1088/1755-1315/833/1/012197 . .

TY  - CONF
AU  - Marjanović, Miloš
AU  - Abolmasov, Biljana
AU  - Pejić, Marko
AU  - Jelka, Krušić
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3032
PB  - International Association for Engineering Geology and the Environment
C3  - Proceedings of 3rd European Regional Conference of IAEG/ Athens/ Greece/ 6-10 October 2021
T1  - Long-term rockslope monitoring and rockfall prediction
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3032
ER  - 

@conference{
author = "Marjanović, Miloš and Abolmasov, Biljana and Pejić, Marko and Jelka, Krušić",
year = "2021",
publisher = "International Association for Engineering Geology and the Environment",
journal = "Proceedings of 3rd European Regional Conference of IAEG/ Athens/ Greece/ 6-10 October 2021",
title = "Long-term rockslope monitoring and rockfall prediction",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3032"
}

Marjanović, M., Abolmasov, B., Pejić, M.,& Jelka, K.. (2021). Long-term rockslope monitoring and rockfall prediction. in Proceedings of 3rd European Regional Conference of IAEG/ Athens/ Greece/ 6-10 October 2021
International Association for Engineering Geology and the Environment..
https://hdl.handle.net/21.15107/rcub_grafar_3032

Marjanović M, Abolmasov B, Pejić M, Jelka K. Long-term rockslope monitoring and rockfall prediction. in Proceedings of 3rd European Regional Conference of IAEG/ Athens/ Greece/ 6-10 October 2021. 2021;.
https://hdl.handle.net/21.15107/rcub_grafar_3032 .

Marjanović, Miloš, Abolmasov, Biljana, Pejić, Marko, Jelka, Krušić, "Long-term rockslope monitoring and rockfall prediction" in Proceedings of 3rd European Regional Conference of IAEG/ Athens/ Greece/ 6-10 October 2021 (2021),
https://hdl.handle.net/21.15107/rcub_grafar_3032 .

TY  - CONF
AU  - Abolmasov, Biljana
AU  - Đurić, Uroš
AU  - Popović, Jovan
AU  - Pejić, Marko
AU  - Samardžić-Petrović, Mileva
AU  - Brodić, Nenad
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2557
AB  - Results of recent monitoring activities conducted from 2014 to 2019 are presented in the paper as a part of IPL 181 Project progress report. Recent monitoring activities are concentrated on several landslide monitoring techniques— automated GNSS monitoring system measurements, geodetic benchmark survey monitoring, UAV imaging, processing and analysis, and PSInSAR data processing and analysis. Results of all monitoring activities were analysed and used for cross-correlation and for verification of monitoring results obtained from different techniques. Displacement rates from GNSS measurements indicate that object point UmkaGNSS2 has moved 0.30 m towards the North and 0.50 m towards the West, while the vertical displacement was approximately −0.15 m for the 2014–2018 time span. Similar range of GNSS displacement rates were found in previously published results from monitoring activities realized from 2010–2014. PSInSAR data analysis also showed good correlation between nearest PS points and GNSS point for the same period of monitoring. Results from UAV and geodetic benchmarks survey showed very good correlation in displacement vectors’ direction. According to the analyzed data it could be concluded that all monitoring results are in compliance with previous research results and confirm that the Umka is slow tovery slow moving landslide with cyclic acceleration and deceleration phases.
PB  - Gewerbestrasse: Springer Nature Switzerland AG
C3  - Understanding and Reducing Landslide Disaster Risk
T1  - Results of Recent Monitoring Activities on Landslide Umka, Belgrade, Serbia—IPL 181
EP  - 234
SP  - 225
VL  - 1
DO  - 10.1007/978-3-030-60196-6_14
ER  - 

@conference{
author = "Abolmasov, Biljana and Đurić, Uroš and Popović, Jovan and Pejić, Marko and Samardžić-Petrović, Mileva and Brodić, Nenad",
year = "2021",
abstract = "Results of recent monitoring activities conducted from 2014 to 2019 are presented in the paper as a part of IPL 181 Project progress report. Recent monitoring activities are concentrated on several landslide monitoring techniques— automated GNSS monitoring system measurements, geodetic benchmark survey monitoring, UAV imaging, processing and analysis, and PSInSAR data processing and analysis. Results of all monitoring activities were analysed and used for cross-correlation and for verification of monitoring results obtained from different techniques. Displacement rates from GNSS measurements indicate that object point UmkaGNSS2 has moved 0.30 m towards the North and 0.50 m towards the West, while the vertical displacement was approximately −0.15 m for the 2014–2018 time span. Similar range of GNSS displacement rates were found in previously published results from monitoring activities realized from 2010–2014. PSInSAR data analysis also showed good correlation between nearest PS points and GNSS point for the same period of monitoring. Results from UAV and geodetic benchmarks survey showed very good correlation in displacement vectors’ direction. According to the analyzed data it could be concluded that all monitoring results are in compliance with previous research results and confirm that the Umka is slow tovery slow moving landslide with cyclic acceleration and deceleration phases.",
publisher = "Gewerbestrasse: Springer Nature Switzerland AG",
journal = "Understanding and Reducing Landslide Disaster Risk",
title = "Results of Recent Monitoring Activities on Landslide Umka, Belgrade, Serbia—IPL 181",
pages = "234-225",
volume = "1",
doi = "10.1007/978-3-030-60196-6_14"
}

Abolmasov, B., Đurić, U., Popović, J., Pejić, M., Samardžić-Petrović, M.,& Brodić, N.. (2021). Results of Recent Monitoring Activities on Landslide Umka, Belgrade, Serbia—IPL 181. in Understanding and Reducing Landslide Disaster Risk
Gewerbestrasse: Springer Nature Switzerland AG., 1, 225-234.
https://doi.org/10.1007/978-3-030-60196-6_14

Abolmasov B, Đurić U, Popović J, Pejić M, Samardžić-Petrović M, Brodić N. Results of Recent Monitoring Activities on Landslide Umka, Belgrade, Serbia—IPL 181. in Understanding and Reducing Landslide Disaster Risk. 2021;1:225-234.
doi:10.1007/978-3-030-60196-6_14 .

Abolmasov, Biljana, Đurić, Uroš, Popović, Jovan, Pejić, Marko, Samardžić-Petrović, Mileva, Brodić, Nenad, "Results of Recent Monitoring Activities on Landslide Umka, Belgrade, Serbia—IPL 181" in Understanding and Reducing Landslide Disaster Risk, 1 (2021):225-234,
https://doi.org/10.1007/978-3-030-60196-6_14 . .

TY  - CONF
AU  - Samardžić-Petrović, Mileva
AU  - Popović, Jovan
AU  - Đurić, Uroš
AU  - Abolmasov, Biljana
AU  - Pejić, Marko
AU  - Marjanović, Miloš
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2214
AB  - The Umka landslide is one of the biggest inhabited active landslides in Serbia. The Umka landslide activity has been monitored for a period longer than 85 years, by various geotechnical and geodetic techniques. Since 2010, landslide activity has been continuously monitored by automated permanent Global Navigation Satellite System (GNSS) based monitoring system in real time. Furthermore, since 2018 landslide activity has been monitored by GNSS kinematic positioning of a set of characteristic points as well as by UAV (Unmanned Aerial Vehicle) photogrammetry. The main issue of this paper is the presentation of the results gained with GNSS kinematic positioning of characteristic points of Umka landslide within three observation epochs.
PB  - University of Banja Luka Faculty of Architecture, Civil Engineering and Geode
C3  - XIV International Conference On Contemporary Theory And Practice In Construction XIV Stepgrad XIV Proceedings, 2020
T1  - Permanent GNSS monitoring of landslide Umka
DO  - 10.7251/STP2014091S
ER  - 

@conference{
author = "Samardžić-Petrović, Mileva and Popović, Jovan and Đurić, Uroš and Abolmasov, Biljana and Pejić, Marko and Marjanović, Miloš",
year = "2020",
abstract = "The Umka landslide is one of the biggest inhabited active landslides in Serbia. The Umka landslide activity has been monitored for a period longer than 85 years, by various geotechnical and geodetic techniques. Since 2010, landslide activity has been continuously monitored by automated permanent Global Navigation Satellite System (GNSS) based monitoring system in real time. Furthermore, since 2018 landslide activity has been monitored by GNSS kinematic positioning of a set of characteristic points as well as by UAV (Unmanned Aerial Vehicle) photogrammetry. The main issue of this paper is the presentation of the results gained with GNSS kinematic positioning of characteristic points of Umka landslide within three observation epochs.",
publisher = "University of Banja Luka Faculty of Architecture, Civil Engineering and Geode",
journal = "XIV International Conference On Contemporary Theory And Practice In Construction XIV Stepgrad XIV Proceedings, 2020",
title = "Permanent GNSS monitoring of landslide Umka",
doi = "10.7251/STP2014091S"
}

Samardžić-Petrović, M., Popović, J., Đurić, U., Abolmasov, B., Pejić, M.,& Marjanović, M.. (2020). Permanent GNSS monitoring of landslide Umka. in XIV International Conference On Contemporary Theory And Practice In Construction XIV Stepgrad XIV Proceedings, 2020
University of Banja Luka Faculty of Architecture, Civil Engineering and Geode..
https://doi.org/10.7251/STP2014091S

Samardžić-Petrović M, Popović J, Đurić U, Abolmasov B, Pejić M, Marjanović M. Permanent GNSS monitoring of landslide Umka. in XIV International Conference On Contemporary Theory And Practice In Construction XIV Stepgrad XIV Proceedings, 2020. 2020;.
doi:10.7251/STP2014091S .

Samardžić-Petrović, Mileva, Popović, Jovan, Đurić, Uroš, Abolmasov, Biljana, Pejić, Marko, Marjanović, Miloš, "Permanent GNSS monitoring of landslide Umka" in XIV International Conference On Contemporary Theory And Practice In Construction XIV Stepgrad XIV Proceedings, 2020 (2020),
https://doi.org/10.7251/STP2014091S . .

TY  - JOUR
AU  - Đurić, Uroš
AU  - Marjanović, Miloš
AU  - Radić, Zoran
AU  - Abolmasov, Biljana
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1729
AB  - Improvements of Machine Learning-based landslide prediction models can be made by optimizing scale, customizing training samples to provide sets with the best examples, feature selection, etc. Herein, a novel approach, named Cross-Scaling, is proposed that includes the mixing of training and testing set resolutions. Hypothetically, training on a coarser resolution dataset and testing the model on a finer resolution should help the algorithm to better generalize ambiguous examples of landslide classes and yield fewer over/underestimations in the model. This case study considers the City of Belgrade area for training and its south-eastern suburb for testing. The dataset is exceptionally rich with detailed geological, morphological and environmental data, so 24 landslide predictors were used for multi-class mapping: Class 0 – stable ground, Class 1 - dormant landslides, and Class 2 – active landslides. Two state-of-the-art algorithms were implemented: Support Vector Machines and Random Forest. Additionally, our modelling included variants with an implemented feature selection by using the Information Gain and Correlation Feature Selection. All these variants were modelled across four resolutions - 25, 50, 100 and 200 m, whereby Cross-Scaling was implemented as follows: training on 50 and testing on 25, training on 100 and testing on 25, training on 100 and testing on 50, training on 200 and testing on 25, training on 200 and testing on 50, and finally, training on 200 and testing on 100 m resolution datasets. The results clearly show that Cross-Scaling improves the performance of the model, especially for Class 2, when compared to the performance of their non-Cross-Scaled counterparts; this thereby proves the initial hypothesis. Random Forest models tend to be less sensitive to scale and feature selection effects than the SVM. Class 1 remains the most difficult to discern, leaving some room for even further customization and adjustments. In conclusion, the Cross-Scaling technique is proposed as a method that could become a promising tool for training/testing protocols in landslide assessment.
PB  - Elsevier
T2  - Engineering Geology
T1  - Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept
EP  - 38
SP  - 23
VL  - 256
DO  - 10.1016/j.enggeo.2019.05.007
ER  - 

@article{
author = "Đurić, Uroš and Marjanović, Miloš and Radić, Zoran and Abolmasov, Biljana",
year = "2019",
abstract = "Improvements of Machine Learning-based landslide prediction models can be made by optimizing scale, customizing training samples to provide sets with the best examples, feature selection, etc. Herein, a novel approach, named Cross-Scaling, is proposed that includes the mixing of training and testing set resolutions. Hypothetically, training on a coarser resolution dataset and testing the model on a finer resolution should help the algorithm to better generalize ambiguous examples of landslide classes and yield fewer over/underestimations in the model. This case study considers the City of Belgrade area for training and its south-eastern suburb for testing. The dataset is exceptionally rich with detailed geological, morphological and environmental data, so 24 landslide predictors were used for multi-class mapping: Class 0 – stable ground, Class 1 - dormant landslides, and Class 2 – active landslides. Two state-of-the-art algorithms were implemented: Support Vector Machines and Random Forest. Additionally, our modelling included variants with an implemented feature selection by using the Information Gain and Correlation Feature Selection. All these variants were modelled across four resolutions - 25, 50, 100 and 200 m, whereby Cross-Scaling was implemented as follows: training on 50 and testing on 25, training on 100 and testing on 25, training on 100 and testing on 50, training on 200 and testing on 25, training on 200 and testing on 50, and finally, training on 200 and testing on 100 m resolution datasets. The results clearly show that Cross-Scaling improves the performance of the model, especially for Class 2, when compared to the performance of their non-Cross-Scaled counterparts; this thereby proves the initial hypothesis. Random Forest models tend to be less sensitive to scale and feature selection effects than the SVM. Class 1 remains the most difficult to discern, leaving some room for even further customization and adjustments. In conclusion, the Cross-Scaling technique is proposed as a method that could become a promising tool for training/testing protocols in landslide assessment.",
publisher = "Elsevier",
journal = "Engineering Geology",
title = "Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept",
pages = "38-23",
volume = "256",
doi = "10.1016/j.enggeo.2019.05.007"
}

Đurić, U., Marjanović, M., Radić, Z.,& Abolmasov, B.. (2019). Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept. in Engineering Geology
Elsevier., 256, 23-38.
https://doi.org/10.1016/j.enggeo.2019.05.007

Đurić U, Marjanović M, Radić Z, Abolmasov B. Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept. in Engineering Geology. 2019;256:23-38.
doi:10.1016/j.enggeo.2019.05.007 .

Đurić, Uroš, Marjanović, Miloš, Radić, Zoran, Abolmasov, Biljana, "Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept" in Engineering Geology, 256 (2019):23-38,
https://doi.org/10.1016/j.enggeo.2019.05.007 . .

TY  - JOUR
AU  - Peshevski, I.
AU  - Jovanovski, M.
AU  - Abolmasov, Biljana
AU  - Papić, J.
AU  - Đurić, Uroš
AU  - Marjanović, Miloš
AU  - Haque, U.
AU  - Nedelkovska, N.
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/994
AB  - In this paper a heuristic approach for preliminary regional landslide susceptibility assessment using limited amount of data is presented. It is called arbitrary polynomial method and takes into account 5 landslide conditioning parameters: lithology, slope inclination, average annual rainfall, land use and maximum expected seismic intensity. According to the method, in the first stage, a gradation is performed for each of the carefully selected conditioning parameters by assigning so called rating points to the grid cells on which the region is divided. Values of the rating points vary from 0 to 3 and depend on the parameter’s character and importance for landslide development within the region of interest. A so called Total Landslide Susceptibility Rating (TLSR) model is obtained by summing the individual rating points of each parameter and dividing the region into five susceptibility zones according to Jenks natural breaks classification. Verification of the TLSR model is then performed by overlaying the landslide inventory map of the selected region over the prepared susceptibility map. The sensitivity of the model can be additionally tested by multiplying the conditioning parameter’s rating points by sensitivity coefficients. In this way, additional landslide susceptibility models are obtained, named Weighted Total Landslide Susceptibility Rating (WTLSR) models. As a practical example of the method, two TLSR models are presented here for the Polog region in Republic of Macedonia, for return periods of maximum expected seismic intensity for 100 and 500 years. With over 74% of mapped landslides falling in zones of high and very high susceptibility, the results are considered satisfactory for regional scale landslide modelling and are comparable with more advanced quantitative methods. Additional WTLSR models were prepared, and their correlation identified the best model. The presented approach is considered to be very convenient for conducting preliminary regional landslide susceptibility assessments with the ability to fine-tune the results. Due to its simplicity, it can be applied to additional landslide conditioning parameters other than the one presented in the paper, depending on the region of interest and available data sources. It is especially practical for use in developing countries, where various organizational, technical and economic constraints prevent application of more advanced data driven methods. Limitations and restrictions of the approach are also discussed.
PB  - Croatian Geological Survey
T2  - Geologia Croatica
T1  - Preliminary regional landslide susceptibility assessment using limited data
EP  - 92
IS  - 1
SP  - 81
VL  - 72
DO  - 10.4154/gc.2019.03
ER  - 

@article{
author = "Peshevski, I. and Jovanovski, M. and Abolmasov, Biljana and Papić, J. and Đurić, Uroš and Marjanović, Miloš and Haque, U. and Nedelkovska, N.",
year = "2019",
abstract = "In this paper a heuristic approach for preliminary regional landslide susceptibility assessment using limited amount of data is presented. It is called arbitrary polynomial method and takes into account 5 landslide conditioning parameters: lithology, slope inclination, average annual rainfall, land use and maximum expected seismic intensity. According to the method, in the first stage, a gradation is performed for each of the carefully selected conditioning parameters by assigning so called rating points to the grid cells on which the region is divided. Values of the rating points vary from 0 to 3 and depend on the parameter’s character and importance for landslide development within the region of interest. A so called Total Landslide Susceptibility Rating (TLSR) model is obtained by summing the individual rating points of each parameter and dividing the region into five susceptibility zones according to Jenks natural breaks classification. Verification of the TLSR model is then performed by overlaying the landslide inventory map of the selected region over the prepared susceptibility map. The sensitivity of the model can be additionally tested by multiplying the conditioning parameter’s rating points by sensitivity coefficients. In this way, additional landslide susceptibility models are obtained, named Weighted Total Landslide Susceptibility Rating (WTLSR) models. As a practical example of the method, two TLSR models are presented here for the Polog region in Republic of Macedonia, for return periods of maximum expected seismic intensity for 100 and 500 years. With over 74% of mapped landslides falling in zones of high and very high susceptibility, the results are considered satisfactory for regional scale landslide modelling and are comparable with more advanced quantitative methods. Additional WTLSR models were prepared, and their correlation identified the best model. The presented approach is considered to be very convenient for conducting preliminary regional landslide susceptibility assessments with the ability to fine-tune the results. Due to its simplicity, it can be applied to additional landslide conditioning parameters other than the one presented in the paper, depending on the region of interest and available data sources. It is especially practical for use in developing countries, where various organizational, technical and economic constraints prevent application of more advanced data driven methods. Limitations and restrictions of the approach are also discussed.",
publisher = "Croatian Geological Survey",
journal = "Geologia Croatica",
title = "Preliminary regional landslide susceptibility assessment using limited data",
pages = "92-81",
number = "1",
volume = "72",
doi = "10.4154/gc.2019.03"
}

Peshevski, I., Jovanovski, M., Abolmasov, B., Papić, J., Đurić, U., Marjanović, M., Haque, U.,& Nedelkovska, N.. (2019). Preliminary regional landslide susceptibility assessment using limited data. in Geologia Croatica
Croatian Geological Survey., 72(1), 81-92.
https://doi.org/10.4154/gc.2019.03

Peshevski I, Jovanovski M, Abolmasov B, Papić J, Đurić U, Marjanović M, Haque U, Nedelkovska N. Preliminary regional landslide susceptibility assessment using limited data. in Geologia Croatica. 2019;72(1):81-92.
doi:10.4154/gc.2019.03 .

Peshevski, I., Jovanovski, M., Abolmasov, Biljana, Papić, J., Đurić, Uroš, Marjanović, Miloš, Haque, U., Nedelkovska, N., "Preliminary regional landslide susceptibility assessment using limited data" in Geologia Croatica, 72, no. 1 (2019):81-92,
https://doi.org/10.4154/gc.2019.03 . .

TY  - CHAP
AU  - Marjanović, Miloš
AU  - Samardžić-Petrović, Mileva
AU  - Abolmasov, Biljana
AU  - Đurić, Uroš
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/989
AB  - The main idea of this chapter is to address some of the key issues that were recognized in Machine Learning (ML) based Landslide Assessment Modeling (LAM). Through the experience of the authors, elaborated in several case studies, including the City of Belgrade in Serbia, the City of Tuzla in Bosnia and Herzegovina, Ljubovija Municipality in Serbia, and Halenkovice area in Czech Republic, eight key issues were identified, and appropriate options, solutions, and some new concepts for overcoming them were introduced. The following issues were addressed: Landslide inventory enhancements (overcoming small number of landslide instances), Choice of attributes (which attributes are appropriate and pros and cons on attribute selection/extraction), Classification versus regression (which type of task is more appropriate in particular cases), Choice of ML technique (discussion of most popular ML techniques), Sampling strategy (overcoming the overfit by choosing training instances wisely), Cross-scaling (a new concept for improving the algorithm’s learning capacity), Quasi-hazard concept (introducing artificial temporal base for upgrading from susceptibility to hazard assessment), and Objective model evaluation (the best practice for validating resulting models against the existing inventory). All of them are followed by appropriate practical examples from one of abovementioned case studies. The ultimate objective is to provide guidance and inspire LAM community for a more innovative approach in modeling.
PB  - Springer Netherlands
T2  - Advances in Natural and Technological Hazards Research
T1  - Concepts for improving machine learning based landslide assessment
EP  - 58
SP  - 27
VL  - 48
DO  - 10.1007/978-3-319-73383-8_2
ER  - 

@inbook{
author = "Marjanović, Miloš and Samardžić-Petrović, Mileva and Abolmasov, Biljana and Đurić, Uroš",
year = "2019",
abstract = "The main idea of this chapter is to address some of the key issues that were recognized in Machine Learning (ML) based Landslide Assessment Modeling (LAM). Through the experience of the authors, elaborated in several case studies, including the City of Belgrade in Serbia, the City of Tuzla in Bosnia and Herzegovina, Ljubovija Municipality in Serbia, and Halenkovice area in Czech Republic, eight key issues were identified, and appropriate options, solutions, and some new concepts for overcoming them were introduced. The following issues were addressed: Landslide inventory enhancements (overcoming small number of landslide instances), Choice of attributes (which attributes are appropriate and pros and cons on attribute selection/extraction), Classification versus regression (which type of task is more appropriate in particular cases), Choice of ML technique (discussion of most popular ML techniques), Sampling strategy (overcoming the overfit by choosing training instances wisely), Cross-scaling (a new concept for improving the algorithm’s learning capacity), Quasi-hazard concept (introducing artificial temporal base for upgrading from susceptibility to hazard assessment), and Objective model evaluation (the best practice for validating resulting models against the existing inventory). All of them are followed by appropriate practical examples from one of abovementioned case studies. The ultimate objective is to provide guidance and inspire LAM community for a more innovative approach in modeling.",
publisher = "Springer Netherlands",
journal = "Advances in Natural and Technological Hazards Research",
booktitle = "Concepts for improving machine learning based landslide assessment",
pages = "58-27",
volume = "48",
doi = "10.1007/978-3-319-73383-8_2"
}

Marjanović, M., Samardžić-Petrović, M., Abolmasov, B.,& Đurić, U.. (2019). Concepts for improving machine learning based landslide assessment. in Advances in Natural and Technological Hazards Research
Springer Netherlands., 48, 27-58.
https://doi.org/10.1007/978-3-319-73383-8_2

Marjanović M, Samardžić-Petrović M, Abolmasov B, Đurić U. Concepts for improving machine learning based landslide assessment. in Advances in Natural and Technological Hazards Research. 2019;48:27-58.
doi:10.1007/978-3-319-73383-8_2 .

Marjanović, Miloš, Samardžić-Petrović, Mileva, Abolmasov, Biljana, Đurić, Uroš, "Concepts for improving machine learning based landslide assessment" in Advances in Natural and Technological Hazards Research, 48 (2019):27-58,
https://doi.org/10.1007/978-3-319-73383-8_2 . .

TY  - CHAP
AU  - Marjanović, Miloš
AU  - Abolmasov, Biljana
AU  - Milenković, Svetozar
AU  - Đurić, Uroš
AU  - Samardžić-Petrović, Mileva
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1892
PB  - Elsevier
T2  - Spatial Modeling in GIS and R for Earth and Environmental Sciences
T1  - Multihazard Exposure Assessment on the Valjevo City Road Network
EP  - 688
SP  - 671
DO  - https://doi.org/10.1016/B978-0-12-815226-3.00031-4
ER  - 

@inbook{
author = "Marjanović, Miloš and Abolmasov, Biljana and Milenković, Svetozar and Đurić, Uroš and Samardžić-Petrović, Mileva",
year = "2019",
publisher = "Elsevier",
journal = "Spatial Modeling in GIS and R for Earth and Environmental Sciences",
booktitle = "Multihazard Exposure Assessment on the Valjevo City Road Network",
pages = "688-671",
doi = "https://doi.org/10.1016/B978-0-12-815226-3.00031-4"
}

Marjanović, M., Abolmasov, B., Milenković, S., Đurić, U.,& Samardžić-Petrović, M.. (2019). Multihazard Exposure Assessment on the Valjevo City Road Network. in Spatial Modeling in GIS and R for Earth and Environmental Sciences
Elsevier., 671-688.
https://doi.org/https://doi.org/10.1016/B978-0-12-815226-3.00031-4

Marjanović M, Abolmasov B, Milenković S, Đurić U, Samardžić-Petrović M. Multihazard Exposure Assessment on the Valjevo City Road Network. in Spatial Modeling in GIS and R for Earth and Environmental Sciences. 2019;:671-688.
doi:https://doi.org/10.1016/B978-0-12-815226-3.00031-4 .

Marjanović, Miloš, Abolmasov, Biljana, Milenković, Svetozar, Đurić, Uroš, Samardžić-Petrović, Mileva, "Multihazard Exposure Assessment on the Valjevo City Road Network" in Spatial Modeling in GIS and R for Earth and Environmental Sciences (2019):671-688,
https://doi.org/https://doi.org/10.1016/B978-0-12-815226-3.00031-4 . .

TY  - JOUR
AU  - Marjanović, Miloš
AU  - Krautblatter, Michael
AU  - Abolmasov, Biljana
AU  - Đurić, Uroš
AU  - Sandić, Cvjetko
AU  - Nikolić, Velizar
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/951
AB  - This paper focuses on modeling rainfall-induced massive landsliding in the Western Serbia in the 2001-2014 period. The motivation for conducting the study was the rainfall-induced flooding and landsliding that took place across most of the Serbia and Bosnia and Herzegovina in May 2014, and had devastating effects, including human casualties, and destruction of natural and urban environment. In the first part of the study, the general analysis was conducted. It includes a wide area (70,000 km(2)), wherein spatial rainfall patterns were identified using the monthly rainfall data from the 2001-2014. Areas that have higher monthly precipitation than the baseline monthly rainfall (1961-90) were outlined. One location within these zones was chosen as critical Loznica in Western Serbia. The area of Loznica was further examined: comparison between local daily rainfall and local landslide events recorded in 2001-2014; correlation between specific rainfall conditions, i.e. cumulative rainfall for different time windows, and the landsliding events in the specified period; identification of additional non-reported rainfall events that were potentially responsible for landsliding; analyses of the rainfall thresholds and temporal rainfall distribution. The Decision Tree algorithm was used to identify rainfall conditions that triggered landslides in the specified period. It was hypothesized that short-term rainfall has less influence on massive landsliding than the mid/long-term rainfall. Unlike other black-box techniques, Decision Tree-based modeling gives a good insight into the thresholding process. Namely, it was possible to follow the Decision Tree structure and reconstruct the critical cumulative rainfall distribution and thresholds that have led to landsliding. The main findings suggest that a high-yield mid-term rainfall (2 and 3-day rainfall) are the most important for massive landsliding, while long-term cumulative rainfall (30-day) has some additional influence in the case of Loznica. The upper threshold values extracted from the original, and appended synthetic rainfall events were about 30 mm for 2- and 3-day rainfall, and 140 mm for 30-day rainfall, which is in agreement with the evidence of the May 2014 event. It is thereby shown how proposed approach can be used preliminarily in the case of rainfall/landslide data scarcity for rough threshold estimation and extrapolation. However, limitations regarding utilization of such data must be accounted for.
PB  - Elsevier B.V.
T2  - Engineering Geology
T1  - The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique
EP  - 159
SP  - 147
VL  - 232
DO  - 10.1016/j.enggeo.2017.11.021
ER  - 

@article{
author = "Marjanović, Miloš and Krautblatter, Michael and Abolmasov, Biljana and Đurić, Uroš and Sandić, Cvjetko and Nikolić, Velizar",
year = "2018",
abstract = "This paper focuses on modeling rainfall-induced massive landsliding in the Western Serbia in the 2001-2014 period. The motivation for conducting the study was the rainfall-induced flooding and landsliding that took place across most of the Serbia and Bosnia and Herzegovina in May 2014, and had devastating effects, including human casualties, and destruction of natural and urban environment. In the first part of the study, the general analysis was conducted. It includes a wide area (70,000 km(2)), wherein spatial rainfall patterns were identified using the monthly rainfall data from the 2001-2014. Areas that have higher monthly precipitation than the baseline monthly rainfall (1961-90) were outlined. One location within these zones was chosen as critical Loznica in Western Serbia. The area of Loznica was further examined: comparison between local daily rainfall and local landslide events recorded in 2001-2014; correlation between specific rainfall conditions, i.e. cumulative rainfall for different time windows, and the landsliding events in the specified period; identification of additional non-reported rainfall events that were potentially responsible for landsliding; analyses of the rainfall thresholds and temporal rainfall distribution. The Decision Tree algorithm was used to identify rainfall conditions that triggered landslides in the specified period. It was hypothesized that short-term rainfall has less influence on massive landsliding than the mid/long-term rainfall. Unlike other black-box techniques, Decision Tree-based modeling gives a good insight into the thresholding process. Namely, it was possible to follow the Decision Tree structure and reconstruct the critical cumulative rainfall distribution and thresholds that have led to landsliding. The main findings suggest that a high-yield mid-term rainfall (2 and 3-day rainfall) are the most important for massive landsliding, while long-term cumulative rainfall (30-day) has some additional influence in the case of Loznica. The upper threshold values extracted from the original, and appended synthetic rainfall events were about 30 mm for 2- and 3-day rainfall, and 140 mm for 30-day rainfall, which is in agreement with the evidence of the May 2014 event. It is thereby shown how proposed approach can be used preliminarily in the case of rainfall/landslide data scarcity for rough threshold estimation and extrapolation. However, limitations regarding utilization of such data must be accounted for.",
publisher = "Elsevier B.V.",
journal = "Engineering Geology",
title = "The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique",
pages = "159-147",
volume = "232",
doi = "10.1016/j.enggeo.2017.11.021"
}

Marjanović, M., Krautblatter, M., Abolmasov, B., Đurić, U., Sandić, C.,& Nikolić, V.. (2018). The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique. in Engineering Geology
Elsevier B.V.., 232, 147-159.
https://doi.org/10.1016/j.enggeo.2017.11.021

Marjanović M, Krautblatter M, Abolmasov B, Đurić U, Sandić C, Nikolić V. The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique. in Engineering Geology. 2018;232:147-159.
doi:10.1016/j.enggeo.2017.11.021 .

Marjanović, Miloš, Krautblatter, Michael, Abolmasov, Biljana, Đurić, Uroš, Sandić, Cvjetko, Nikolić, Velizar, "The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique" in Engineering Geology, 232 (2018):147-159,
https://doi.org/10.1016/j.enggeo.2017.11.021 . .

TY  - CHAP
AU  - Đurić, Uroš
AU  - Bajat, Branislav
AU  - Abolmasov, Biljana
AU  - Kovačević, Miloš
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1101
AB  - This chapter introduces theoretical and practical aspects for applying GIS and geocomputation methods in landslide assessment problems. Machine Learning techniques in combination with GIS are proven useful for computation and building of complex non-linear spatial models, which is why they have been chosen in our work. Modeling principles that include basic Machine Learning techniques (Artificial Neural Networks, Decision trees, Support Vector Machines) and additional useful procedures are described to show how they can be applied to address a complex problem such as landslide assessment. Two types of models are proposed in the work herein that are useful for describing landslide susceptibility and landslide prediction. The region of Halenkovice in Czech Republic is presented as a case study to illustrate and bring closer the practical aspects of landslide assessment. These aspects consider data preparation and preprocessing, scale effects, model optimization, and evaluation. The results show that Support Vector Machines and similar Machine Learning (ML) techniques can be successfully applied to address the zoning of landslide susceptibility, which might be an important breakthrough for potential applications in regional planning and decision-making.
PB  - Cham: Springer International Publishing
T2  - GeoComputational Analysis and Modeling of Regional Systems
T1  - Machine Learning and Landslide Assessment in a GIS Environment
EP  - 213
SP  - 191
DO  - 10.1007/978-3-319-59511-5_11
ER  - 

@inbook{
author = "Đurić, Uroš and Bajat, Branislav and Abolmasov, Biljana and Kovačević, Miloš",
year = "2018",
abstract = "This chapter introduces theoretical and practical aspects for applying GIS and geocomputation methods in landslide assessment problems. Machine Learning techniques in combination with GIS are proven useful for computation and building of complex non-linear spatial models, which is why they have been chosen in our work. Modeling principles that include basic Machine Learning techniques (Artificial Neural Networks, Decision trees, Support Vector Machines) and additional useful procedures are described to show how they can be applied to address a complex problem such as landslide assessment. Two types of models are proposed in the work herein that are useful for describing landslide susceptibility and landslide prediction. The region of Halenkovice in Czech Republic is presented as a case study to illustrate and bring closer the practical aspects of landslide assessment. These aspects consider data preparation and preprocessing, scale effects, model optimization, and evaluation. The results show that Support Vector Machines and similar Machine Learning (ML) techniques can be successfully applied to address the zoning of landslide susceptibility, which might be an important breakthrough for potential applications in regional planning and decision-making.",
publisher = "Cham: Springer International Publishing",
journal = "GeoComputational Analysis and Modeling of Regional Systems",
booktitle = "Machine Learning and Landslide Assessment in a GIS Environment",
pages = "213-191",
doi = "10.1007/978-3-319-59511-5_11"
}

Đurić, U., Bajat, B., Abolmasov, B.,& Kovačević, M.. (2018). Machine Learning and Landslide Assessment in a GIS Environment. in GeoComputational Analysis and Modeling of Regional Systems
Cham: Springer International Publishing., 191-213.
https://doi.org/10.1007/978-3-319-59511-5_11

Đurić U, Bajat B, Abolmasov B, Kovačević M. Machine Learning and Landslide Assessment in a GIS Environment. in GeoComputational Analysis and Modeling of Regional Systems. 2018;:191-213.
doi:10.1007/978-3-319-59511-5_11 .

Đurić, Uroš, Bajat, Branislav, Abolmasov, Biljana, Kovačević, Miloš, "Machine Learning and Landslide Assessment in a GIS Environment" in GeoComputational Analysis and Modeling of Regional Systems (2018):191-213,
https://doi.org/10.1007/978-3-319-59511-5_11 . .

TY  - CONF
AU  - Abolmasov, Biljana
AU  - Marjanović, Miloš
AU  - Milenković, Svetozar
AU  - Pejić, Marko
AU  - Berisavljević, Zoran
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3031
AB  - The section of E75 motorway under construction was subjected to simulation of potential rockfall hazard. 3D point-cloud surface model of the rock slope, obtained by a combination of LiDAR and UAV techniques, was used for mapping of discontinuities, their orientation and spacing. These were inputs for appropriate slope stability analyses, which were further used do delineate potential depletion zones or rockfall block sources. Once delineated, source zones were used to simulate 3D rock trajectories over 3D surface slope model, for various block sizes. All trajectories were compared and evaluated for their potential impact on the viaduct setting, based on their spatial propagation, kinetic energies and forces, bouncing heights etc. Finally, according preventive measures for rockfall hazard mitigation were proposed.
PB  - Willey Ernst and Sons
C3  - Proceedings of the 16th Danube-European Conference on Geotechnical Engineering-Geotechnical hazards and risks: Experiences and practices, Skopje, Republic of Macedonia
T1  - Rockfall simulation on a rock slope along E75 road at km 890+725 to 891+093
VL  - 1
DO  - https://doi.org/10.1002/cepa.682
ER  - 

@conference{
author = "Abolmasov, Biljana and Marjanović, Miloš and Milenković, Svetozar and Pejić, Marko and Berisavljević, Zoran",
year = "2018",
abstract = "The section of E75 motorway under construction was subjected to simulation of potential rockfall hazard. 3D point-cloud surface model of the rock slope, obtained by a combination of LiDAR and UAV techniques, was used for mapping of discontinuities, their orientation and spacing. These were inputs for appropriate slope stability analyses, which were further used do delineate potential depletion zones or rockfall block sources. Once delineated, source zones were used to simulate 3D rock trajectories over 3D surface slope model, for various block sizes. All trajectories were compared and evaluated for their potential impact on the viaduct setting, based on their spatial propagation, kinetic energies and forces, bouncing heights etc. Finally, according preventive measures for rockfall hazard mitigation were proposed.",
publisher = "Willey Ernst and Sons",
journal = "Proceedings of the 16th Danube-European Conference on Geotechnical Engineering-Geotechnical hazards and risks: Experiences and practices, Skopje, Republic of Macedonia",
title = "Rockfall simulation on a rock slope along E75 road at km 890+725 to 891+093",
volume = "1",
doi = "https://doi.org/10.1002/cepa.682"
}

Abolmasov, B., Marjanović, M., Milenković, S., Pejić, M.,& Berisavljević, Z.. (2018). Rockfall simulation on a rock slope along E75 road at km 890+725 to 891+093. in Proceedings of the 16th Danube-European Conference on Geotechnical Engineering-Geotechnical hazards and risks: Experiences and practices, Skopje, Republic of Macedonia
Willey Ernst and Sons., 1.
https://doi.org/https://doi.org/10.1002/cepa.682

Abolmasov B, Marjanović M, Milenković S, Pejić M, Berisavljević Z. Rockfall simulation on a rock slope along E75 road at km 890+725 to 891+093. in Proceedings of the 16th Danube-European Conference on Geotechnical Engineering-Geotechnical hazards and risks: Experiences and practices, Skopje, Republic of Macedonia. 2018;1.
doi:https://doi.org/10.1002/cepa.682 .

Abolmasov, Biljana, Marjanović, Miloš, Milenković, Svetozar, Pejić, Marko, Berisavljević, Zoran, "Rockfall simulation on a rock slope along E75 road at km 890+725 to 891+093" in Proceedings of the 16th Danube-European Conference on Geotechnical Engineering-Geotechnical hazards and risks: Experiences and practices, Skopje, Republic of Macedonia, 1 (2018),
https://doi.org/https://doi.org/10.1002/cepa.682 . .

TY  - CONF
AU  - Đurić, Uroš
AU  - Marjanović, Miloš
AU  - Abolmasov, Biljana
AU  - Radić, Zoran
AU  - Jelisavac, Branko
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1593
AB  - The Umka landslide is systematically investigated and one of the biggest inhabited landslides in Serbia. Landslide is active, with known sliding intensity (more or less) for last 50 years, while landslide is old couple of hundred years, and its genesis is related with evolution of Sava meanders. Although the landslide is known and occasionally mentioned in mass media, certain migration of population is evident, so besides permanent displacement from the landslide – some new housing objects are notices with permanent residents, even within the most active and most affected part of the landslide. According to previous research, a landslide is divided into three zones (blocks) that are different by sliding depth, dynamics and by slope morphology. The last object inventorying was performed during 1989–1990 by the Highway Institute from Belgrade when the map of the damaged objects (with the type of foundation, walls, and category of object) was created, local water system was mapped, while evaluation of population was performed by last known census data. Since the last inventorying was performed 25 years ago, and a landslide is still not stabilized although project documentation for stabilization exists from that period, the vulnerability of population is still actual while in some parts it is even more intensive which is a consequence of unplanned and illegal construction works during ’60 and ’70 of XIX century, when most of objecst were built (over 250 of them).Considering above, there was a need for inventtorying of all present building objects which are within the landslide cadaster border, so such that data can be easily compared with previous research. The base for the creating new inventorying sheet was surveying sheet from 1989. New sheet contains 11 groups of question: 1) Basic data about building object 2) Data about object construction 3) Data about object deformations 4) Data about object foundation 5) Data about household 6) Damage estimation 7) Emergency and temporary interventions 8) Recovery measures 9) Data about household water, surface and groundwaters 10) Sketch of object damage 11) Other comments. Previous inventorying didn’t include the question about householdand population working and life habits which is necessary data for the risk estimation. Inventorying was carried out from September to November 2017. and more than 360 objects were evidenced with more than 500 residents. Each object was photographed and located by the coordinate of the object central point with previously written or oral permission of the resident or object owner. More than 95% of object owners and residents gave the permission for the collecting the data, while there was a lot of objects that were abandoned and which was only evidenced from the outside by construction condition. Detailed results with following statistics will be presented after the data processing that will be done by the end of the 2018 year. Inventorying was performed within the project grant no. TR36009 that is financed by Ministry of education, science and technological development of the Republic of Serbia.
PB  - Srpsko geološko društvo, Beograd
C3  - Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2
T1  - Building objects and huseholds inventorying for the purpose of risk estimation on the Umka landslide near Belgrade
T1  - Evidentiranje građevinskih objekata i stanovništva za potrebe procene rizika od klizišta Umka kod Beograda
EP  - 669
SP  - 668
VL  - 2
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1593
ER  - 

@conference{
author = "Đurić, Uroš and Marjanović, Miloš and Abolmasov, Biljana and Radić, Zoran and Jelisavac, Branko",
year = "2018",
abstract = "The Umka landslide is systematically investigated and one of the biggest inhabited landslides in Serbia. Landslide is active, with known sliding intensity (more or less) for last 50 years, while landslide is old couple of hundred years, and its genesis is related with evolution of Sava meanders. Although the landslide is known and occasionally mentioned in mass media, certain migration of population is evident, so besides permanent displacement from the landslide – some new housing objects are notices with permanent residents, even within the most active and most affected part of the landslide. According to previous research, a landslide is divided into three zones (blocks) that are different by sliding depth, dynamics and by slope morphology. The last object inventorying was performed during 1989–1990 by the Highway Institute from Belgrade when the map of the damaged objects (with the type of foundation, walls, and category of object) was created, local water system was mapped, while evaluation of population was performed by last known census data. Since the last inventorying was performed 25 years ago, and a landslide is still not stabilized although project documentation for stabilization exists from that period, the vulnerability of population is still actual while in some parts it is even more intensive which is a consequence of unplanned and illegal construction works during ’60 and ’70 of XIX century, when most of objecst were built (over 250 of them).Considering above, there was a need for inventtorying of all present building objects which are within the landslide cadaster border, so such that data can be easily compared with previous research. The base for the creating new inventorying sheet was surveying sheet from 1989. New sheet contains 11 groups of question: 1) Basic data about building object 2) Data about object construction 3) Data about object deformations 4) Data about object foundation 5) Data about household 6) Damage estimation 7) Emergency and temporary interventions 8) Recovery measures 9) Data about household water, surface and groundwaters 10) Sketch of object damage 11) Other comments. Previous inventorying didn’t include the question about householdand population working and life habits which is necessary data for the risk estimation. Inventorying was carried out from September to November 2017. and more than 360 objects were evidenced with more than 500 residents. Each object was photographed and located by the coordinate of the object central point with previously written or oral permission of the resident or object owner. More than 95% of object owners and residents gave the permission for the collecting the data, while there was a lot of objects that were abandoned and which was only evidenced from the outside by construction condition. Detailed results with following statistics will be presented after the data processing that will be done by the end of the 2018 year. Inventorying was performed within the project grant no. TR36009 that is financed by Ministry of education, science and technological development of the Republic of Serbia.",
publisher = "Srpsko geološko društvo, Beograd",
journal = "Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2",
title = "Building objects and huseholds inventorying for the purpose of risk estimation on the Umka landslide near Belgrade, Evidentiranje građevinskih objekata i stanovništva za potrebe procene rizika od klizišta Umka kod Beograda",
pages = "669-668",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1593"
}

Đurić, U., Marjanović, M., Abolmasov, B., Radić, Z.,& Jelisavac, B.. (2018). Building objects and huseholds inventorying for the purpose of risk estimation on the Umka landslide near Belgrade. in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2
Srpsko geološko društvo, Beograd., 2, 668-669.
https://hdl.handle.net/21.15107/rcub_grafar_1593

Đurić U, Marjanović M, Abolmasov B, Radić Z, Jelisavac B. Building objects and huseholds inventorying for the purpose of risk estimation on the Umka landslide near Belgrade. in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2. 2018;2:668-669.
https://hdl.handle.net/21.15107/rcub_grafar_1593 .

Đurić, Uroš, Marjanović, Miloš, Abolmasov, Biljana, Radić, Zoran, Jelisavac, Branko, "Building objects and huseholds inventorying for the purpose of risk estimation on the Umka landslide near Belgrade" in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2, 2 (2018):668-669,
https://hdl.handle.net/21.15107/rcub_grafar_1593 .

TY  - CONF
AU  - Đurić, Uroš
AU  - Abolmasov, Biljana
AU  - Marjanović, M.
AU  - Samardžić-Petrović, Mileva
AU  - Pejić, Marko
AU  - Brodić, Nenad
AU  - Popović, Jovan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1615
AB  - This paper presents a brief working progress report on realization of the IPL project 181 “Study of slow moving landslide Umka near Belgrade, Serbia”. In this paper we will present results of the project targets performed by Project participants during 2017 and 2018, with plans for future project realization.
PB  - The International Consortium on Landslides (ICL), Kyoto
C3  - 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan
T1  - IPL Project 181 Study of slow moving landslide Umka near Belgrade, Serbia progress report for 2017 & 2018
EP  - 46
SP  - 41
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1615
ER  - 

@conference{
author = "Đurić, Uroš and Abolmasov, Biljana and Marjanović, M. and Samardžić-Petrović, Mileva and Pejić, Marko and Brodić, Nenad and Popović, Jovan",
year = "2018",
abstract = "This paper presents a brief working progress report on realization of the IPL project 181 “Study of slow moving landslide Umka near Belgrade, Serbia”. In this paper we will present results of the project targets performed by Project participants during 2017 and 2018, with plans for future project realization.",
publisher = "The International Consortium on Landslides (ICL), Kyoto",
journal = "2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan",
title = "IPL Project 181 Study of slow moving landslide Umka near Belgrade, Serbia progress report for 2017 & 2018",
pages = "46-41",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1615"
}

Đurić, U., Abolmasov, B., Marjanović, M., Samardžić-Petrović, M., Pejić, M., Brodić, N.,& Popović, J.. (2018). IPL Project 181 Study of slow moving landslide Umka near Belgrade, Serbia progress report for 2017 & 2018. in 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan
The International Consortium on Landslides (ICL), Kyoto., 41-46.
https://hdl.handle.net/21.15107/rcub_grafar_1615

Đurić U, Abolmasov B, Marjanović M, Samardžić-Petrović M, Pejić M, Brodić N, Popović J. IPL Project 181 Study of slow moving landslide Umka near Belgrade, Serbia progress report for 2017 & 2018. in 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan. 2018;:41-46.
https://hdl.handle.net/21.15107/rcub_grafar_1615 .

Đurić, Uroš, Abolmasov, Biljana, Marjanović, M., Samardžić-Petrović, Mileva, Pejić, Marko, Brodić, Nenad, Popović, Jovan, "IPL Project 181 Study of slow moving landslide Umka near Belgrade, Serbia progress report for 2017 & 2018" in 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan (2018):41-46,
https://hdl.handle.net/21.15107/rcub_grafar_1615 .

TY  - CONF
AU  - Marjanović, M.
AU  - Pejić, Marko
AU  - Krušić, Jelka
AU  - Abolmasov, Biljana
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/912
AB  - This research addresses a rockslope on the motorway No. 228, labeled as a 2A category road, according to the official road authority—Public Enterprise Roads of Serbia, which links Prolom Banja with a higher-category road network. Prolom Banja is an uprising touristic destination, famous for its spa and wellness resort, which shows an increasing trend of visits (over 10k tourists per month in the peak-season). As the road 228 is the only link to the resort, there is a raising concern about the road safety for about 650 vehicles per day (on average) along its many critical road cuts. One such rockslope (Lat 43.039850, Lon 21.380114) in weathered, jointed andesite is exampled in this research, using both terrestrial and airborne systems for reconstructing surface point-clouds, as well as the abovementioned index field and lab tests. These allowed quantifications of the rock joint sets and their kinematic stability, joint spacing, blocks volumes, and finally, profiling the critical blocks for potential rockfall development. It is planned to annually monitor the pilot site in the future, so that all changes, i.e. detached blocks and fragments will be identified.
PB  - CRC Press/Balkema
C3  - Geomechanics and Geodynamics of Rock Masses - Selected Papers from the 2018 European Rock Mechanics
T1  - Jointed rock mass characterization using field and point-cloud data
EP  - 236
SP  - 231
UR  - https://hdl.handle.net/21.15107/rcub_grafar_912
ER  - 

@conference{
author = "Marjanović, M. and Pejić, Marko and Krušić, Jelka and Abolmasov, Biljana",
year = "2018",
abstract = "This research addresses a rockslope on the motorway No. 228, labeled as a 2A category road, according to the official road authority—Public Enterprise Roads of Serbia, which links Prolom Banja with a higher-category road network. Prolom Banja is an uprising touristic destination, famous for its spa and wellness resort, which shows an increasing trend of visits (over 10k tourists per month in the peak-season). As the road 228 is the only link to the resort, there is a raising concern about the road safety for about 650 vehicles per day (on average) along its many critical road cuts. One such rockslope (Lat 43.039850, Lon 21.380114) in weathered, jointed andesite is exampled in this research, using both terrestrial and airborne systems for reconstructing surface point-clouds, as well as the abovementioned index field and lab tests. These allowed quantifications of the rock joint sets and their kinematic stability, joint spacing, blocks volumes, and finally, profiling the critical blocks for potential rockfall development. It is planned to annually monitor the pilot site in the future, so that all changes, i.e. detached blocks and fragments will be identified.",
publisher = "CRC Press/Balkema",
journal = "Geomechanics and Geodynamics of Rock Masses - Selected Papers from the 2018 European Rock Mechanics",
title = "Jointed rock mass characterization using field and point-cloud data",
pages = "236-231",
url = "https://hdl.handle.net/21.15107/rcub_grafar_912"
}

Marjanović, M., Pejić, M., Krušić, J.,& Abolmasov, B.. (2018). Jointed rock mass characterization using field and point-cloud data. in Geomechanics and Geodynamics of Rock Masses - Selected Papers from the 2018 European Rock Mechanics
CRC Press/Balkema., 231-236.
https://hdl.handle.net/21.15107/rcub_grafar_912

Marjanović M, Pejić M, Krušić J, Abolmasov B. Jointed rock mass characterization using field and point-cloud data. in Geomechanics and Geodynamics of Rock Masses - Selected Papers from the 2018 European Rock Mechanics. 2018;:231-236.
https://hdl.handle.net/21.15107/rcub_grafar_912 .

Marjanović, M., Pejić, Marko, Krušić, Jelka, Abolmasov, Biljana, "Jointed rock mass characterization using field and point-cloud data" in Geomechanics and Geodynamics of Rock Masses - Selected Papers from the 2018 European Rock Mechanics (2018):231-236,
https://hdl.handle.net/21.15107/rcub_grafar_912 .

TY  - CONF
AU  - Marjanović, M.
AU  - Pejić, Marko
AU  - Krušić, Jelka
AU  - Abolmasov, Biljana
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/907
AB  - This research addresses a rockslope on the motorway No. 228, labeled as a 2A category road, according to the official road authority—Public Enterprise Roads of Serbia, which links Prolom Banja with a higher-category road network. Prolom Banja is an uprising touristic destination, famous for its spa and wellness resort, which shows an increasing trend of visits (over 10k tourists per month in the peak-season). As the road 228 is the only link to the resort, there is a raising concern about the road safety for about 650 vehicles per day (on average) along its many critical road cuts. One such rockslope (Lat 43.039850, Lon 21.380114) in weathered, jointed andesite is exampled in this research, using both terrestrial and airborne systems for reconstructing surface point-clouds, as well as the abovementioned index field and lab tests. These allowed quantifications of the rock joint sets and their kinematic stability, joint spacing, blocks volumes, and finally, profiling the critical blocks for potential rockfall development. It is planned to annually monitor the pilot site in the future, so that all changes, i.e. detached blocks and fragments will be identified.
PB  - CRC Press/Balkema
C3  - Geomechanics and Geodynamics of Rock Masses
T1  - Jointed rock mass characterization using field and point-cloud data
EP  - 324
SP  - 319
VL  - 1
UR  - https://hdl.handle.net/21.15107/rcub_grafar_907
ER  - 

@conference{
author = "Marjanović, M. and Pejić, Marko and Krušić, Jelka and Abolmasov, Biljana",
year = "2018",
abstract = "This research addresses a rockslope on the motorway No. 228, labeled as a 2A category road, according to the official road authority—Public Enterprise Roads of Serbia, which links Prolom Banja with a higher-category road network. Prolom Banja is an uprising touristic destination, famous for its spa and wellness resort, which shows an increasing trend of visits (over 10k tourists per month in the peak-season). As the road 228 is the only link to the resort, there is a raising concern about the road safety for about 650 vehicles per day (on average) along its many critical road cuts. One such rockslope (Lat 43.039850, Lon 21.380114) in weathered, jointed andesite is exampled in this research, using both terrestrial and airborne systems for reconstructing surface point-clouds, as well as the abovementioned index field and lab tests. These allowed quantifications of the rock joint sets and their kinematic stability, joint spacing, blocks volumes, and finally, profiling the critical blocks for potential rockfall development. It is planned to annually monitor the pilot site in the future, so that all changes, i.e. detached blocks and fragments will be identified.",
publisher = "CRC Press/Balkema",
journal = "Geomechanics and Geodynamics of Rock Masses",
title = "Jointed rock mass characterization using field and point-cloud data",
pages = "324-319",
volume = "1",
url = "https://hdl.handle.net/21.15107/rcub_grafar_907"
}

Marjanović, M., Pejić, M., Krušić, J.,& Abolmasov, B.. (2018). Jointed rock mass characterization using field and point-cloud data. in Geomechanics and Geodynamics of Rock Masses
CRC Press/Balkema., 1, 319-324.
https://hdl.handle.net/21.15107/rcub_grafar_907

Marjanović M, Pejić M, Krušić J, Abolmasov B. Jointed rock mass characterization using field and point-cloud data. in Geomechanics and Geodynamics of Rock Masses. 2018;1:319-324.
https://hdl.handle.net/21.15107/rcub_grafar_907 .

Marjanović, M., Pejić, Marko, Krušić, Jelka, Abolmasov, Biljana, "Jointed rock mass characterization using field and point-cloud data" in Geomechanics and Geodynamics of Rock Masses, 1 (2018):319-324,
https://hdl.handle.net/21.15107/rcub_grafar_907 .

TY  - CONF
AU  - Abolmasov, Biljana
AU  - Marjanović, M.
AU  - Đurić, Uroš
AU  - Samardžić-Petrović, Mileva
AU  - Krušić, Jelka
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1640
AB  - The IPL project No 210 titled “Massive landsliding in Serbia following Cyclone Tamara in May 2014” started at March 2016. The study area is located in the Western and Central part of the Republic of Serbia territory affected by Cyclone Tamara in May 2014. The project aims to summarize and analyse all relevant collected data, including historic/current rainfall, landslide records, aftermath reports, and environmental features datasets from the May 2014 sequence. Objectives of the proposed project include: collecting all available and acquiring new landslides data, analysing the trigger/landslide relation in affordable time span and May 2014 event, relating the landslide mechanisms and magnitudes versus the trigger, locating spatial patterns and relationships between landslides and geological and environmental controls, proposing an overview susceptibility map of the event and numerical modelling on the site specific location/landslide mechanism. The Project is organized by University of Belgrade, Faculty of Mining and Geology and Faculty of Civil Engineering. Project beneficiaries are local community and local and regional authorities. In this paper we will present progress report of the proposed project targets performed by project participants.
PB  - The International Consortium on Landslides (ICL), Kyoto
C3  - 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan
T1  - IPL Project 210 Massive landsliding in Serbia following Cyclone Tamara in May 2014 progress report
EP  - 51
SP  - 47
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1640
ER  - 

@conference{
author = "Abolmasov, Biljana and Marjanović, M. and Đurić, Uroš and Samardžić-Petrović, Mileva and Krušić, Jelka",
year = "2018",
abstract = "The IPL project No 210 titled “Massive landsliding in Serbia following Cyclone Tamara in May 2014” started at March 2016. The study area is located in the Western and Central part of the Republic of Serbia territory affected by Cyclone Tamara in May 2014. The project aims to summarize and analyse all relevant collected data, including historic/current rainfall, landslide records, aftermath reports, and environmental features datasets from the May 2014 sequence. Objectives of the proposed project include: collecting all available and acquiring new landslides data, analysing the trigger/landslide relation in affordable time span and May 2014 event, relating the landslide mechanisms and magnitudes versus the trigger, locating spatial patterns and relationships between landslides and geological and environmental controls, proposing an overview susceptibility map of the event and numerical modelling on the site specific location/landslide mechanism. The Project is organized by University of Belgrade, Faculty of Mining and Geology and Faculty of Civil Engineering. Project beneficiaries are local community and local and regional authorities. In this paper we will present progress report of the proposed project targets performed by project participants.",
publisher = "The International Consortium on Landslides (ICL), Kyoto",
journal = "2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan",
title = "IPL Project 210 Massive landsliding in Serbia following Cyclone Tamara in May 2014 progress report",
pages = "51-47",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1640"
}

Abolmasov, B., Marjanović, M., Đurić, U., Samardžić-Petrović, M.,& Krušić, J.. (2018). IPL Project 210 Massive landsliding in Serbia following Cyclone Tamara in May 2014 progress report. in 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan
The International Consortium on Landslides (ICL), Kyoto., 47-51.
https://hdl.handle.net/21.15107/rcub_grafar_1640

Abolmasov B, Marjanović M, Đurić U, Samardžić-Petrović M, Krušić J. IPL Project 210 Massive landsliding in Serbia following Cyclone Tamara in May 2014 progress report. in 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan. 2018;:47-51.
https://hdl.handle.net/21.15107/rcub_grafar_1640 .

Abolmasov, Biljana, Marjanović, M., Đurić, Uroš, Samardžić-Petrović, Mileva, Krušić, Jelka, "IPL Project 210 Massive landsliding in Serbia following Cyclone Tamara in May 2014 progress report" in 2018 IPL Symposium on landslides, 03 December 2018, Kyoto University, Uji campus, Kyoto, Japan (2018):47-51,
https://hdl.handle.net/21.15107/rcub_grafar_1640 .

TY  - CONF
AU  - Marjanović, M.
AU  - Stojaković, A.
AU  - Abolmasov, Biljana
AU  - Đurić, D.
AU  - Đurić, Uroš
AU  - Krušić, Jelka
AU  - Andrejev, Katarina
AU  - Samardžić-Petrović, Mileva
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1602
AB  - Terroir depicts a set of pedologic, micro‐climatic and historical factors that have a say in deciding whether and where to practice viticulture and determines its qualitative and quantitative exploitation potential. For winemakers, it is paramount for targeting a viticulture variety. European winemakers use to guide their choices by the family tradition. Scientific breakthroughs, i.e. pedological characterization of the soil, introduced a new approach for viticulture, and drove the world‐leading wineries to turn to scientific approach in the last 30 years. In this research, we went one step further in respect to pedological approach. Since the soil itself is considered as a product of its bedrock and climate, it is logical to also include those factors that condition the properties of the soil itself in the terroir context, such as geological and morphologic factors (Burns, 2010). It is thereby, possible to perform a preliminary delineation of zones with suitable set of factors at regional scales, and direct the subsequent, more detailed soil investigations. By analyzing wider areas, it becomes possible to plan more strategically, especially when it comes to preservation of rare and indigenous vine varieties. From winemakers’ perspective, indigenous vine varieties represent the true genetic potential. Smederevka, which is shyly re‐introduced, but without any planning and consulting the profession is one such example. Before the 2nd World War, Smederevka (colloquially known as “the Yellow”) was grown predominantly in the Smederevo wine region, but with caution to the micro‐location, soil composition, slope aspect, sun reflection off the water surface, etc. The quality was unparalleled in comparison to the same vine from 1950–1990, a period marked by a high‐yield, collective farming practice of the “Godomin” company back in the socialism. Locality Plavinac in Smederevo (from experience) has the Smederevka vine with the best sensory characteristics, although micro‐localities Zlatno Brdo (Mons Aureus) and Petrijevo are more familiar.
PB  - Srpsko geološko društvo, Beograd
C3  - Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2
T1  - Geological, morphologic and pedologic components of the teroir of Smederevka
T1  - Geološki, morfološki i pedološki činioci teorara Smederevke
EP  - 813
SP  - 808
VL  - 2
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1602
ER  - 

@conference{
author = "Marjanović, M. and Stojaković, A. and Abolmasov, Biljana and Đurić, D. and Đurić, Uroš and Krušić, Jelka and Andrejev, Katarina and Samardžić-Petrović, Mileva",
year = "2018",
abstract = "Terroir depicts a set of pedologic, micro‐climatic and historical factors that have a say in deciding whether and where to practice viticulture and determines its qualitative and quantitative exploitation potential. For winemakers, it is paramount for targeting a viticulture variety. European winemakers use to guide their choices by the family tradition. Scientific breakthroughs, i.e. pedological characterization of the soil, introduced a new approach for viticulture, and drove the world‐leading wineries to turn to scientific approach in the last 30 years. In this research, we went one step further in respect to pedological approach. Since the soil itself is considered as a product of its bedrock and climate, it is logical to also include those factors that condition the properties of the soil itself in the terroir context, such as geological and morphologic factors (Burns, 2010). It is thereby, possible to perform a preliminary delineation of zones with suitable set of factors at regional scales, and direct the subsequent, more detailed soil investigations. By analyzing wider areas, it becomes possible to plan more strategically, especially when it comes to preservation of rare and indigenous vine varieties. From winemakers’ perspective, indigenous vine varieties represent the true genetic potential. Smederevka, which is shyly re‐introduced, but without any planning and consulting the profession is one such example. Before the 2nd World War, Smederevka (colloquially known as “the Yellow”) was grown predominantly in the Smederevo wine region, but with caution to the micro‐location, soil composition, slope aspect, sun reflection off the water surface, etc. The quality was unparalleled in comparison to the same vine from 1950–1990, a period marked by a high‐yield, collective farming practice of the “Godomin” company back in the socialism. Locality Plavinac in Smederevo (from experience) has the Smederevka vine with the best sensory characteristics, although micro‐localities Zlatno Brdo (Mons Aureus) and Petrijevo are more familiar.",
publisher = "Srpsko geološko društvo, Beograd",
journal = "Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2",
title = "Geological, morphologic and pedologic components of the teroir of Smederevka, Geološki, morfološki i pedološki činioci teorara Smederevke",
pages = "813-808",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1602"
}

Marjanović, M., Stojaković, A., Abolmasov, B., Đurić, D., Đurić, U., Krušić, J., Andrejev, K.,& Samardžić-Petrović, M.. (2018). Geological, morphologic and pedologic components of the teroir of Smederevka. in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2
Srpsko geološko društvo, Beograd., 2, 808-813.
https://hdl.handle.net/21.15107/rcub_grafar_1602

Marjanović M, Stojaković A, Abolmasov B, Đurić D, Đurić U, Krušić J, Andrejev K, Samardžić-Petrović M. Geological, morphologic and pedologic components of the teroir of Smederevka. in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2. 2018;2:808-813.
https://hdl.handle.net/21.15107/rcub_grafar_1602 .

Marjanović, M., Stojaković, A., Abolmasov, Biljana, Đurić, D., Đurić, Uroš, Krušić, Jelka, Andrejev, Katarina, Samardžić-Petrović, Mileva, "Geological, morphologic and pedologic components of the teroir of Smederevka" in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2, 2 (2018):808-813,
https://hdl.handle.net/21.15107/rcub_grafar_1602 .

TY  - CONF
AU  - Abolmasov, Biljana
AU  - Pejić, Marko
AU  - Samardžić-Petrović, Mileva
AU  - Đurić, Uroš
AU  - Milenković, S.
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1589
PB  - Geological Survey of Slovenia, Ljubljana
C3  - Advances in Landslide Research: Proceedings of the 3rd Regional Symposium on Landslides in the Adriatic Balkan Region, 11-13 October 2017, Ljubljana, Slovenia
T1  - Automated GNSS monitoring of Umka landslide review of seven years experience and results
EP  - 71
SP  - 65
DO  - 10.5474/9789616498593
ER  - 

@conference{
author = "Abolmasov, Biljana and Pejić, Marko and Samardžić-Petrović, Mileva and Đurić, Uroš and Milenković, S.",
year = "2018",
publisher = "Geological Survey of Slovenia, Ljubljana",
journal = "Advances in Landslide Research: Proceedings of the 3rd Regional Symposium on Landslides in the Adriatic Balkan Region, 11-13 October 2017, Ljubljana, Slovenia",
title = "Automated GNSS monitoring of Umka landslide review of seven years experience and results",
pages = "71-65",
doi = "10.5474/9789616498593"
}

Abolmasov, B., Pejić, M., Samardžić-Petrović, M., Đurić, U.,& Milenković, S.. (2018). Automated GNSS monitoring of Umka landslide review of seven years experience and results. in Advances in Landslide Research: Proceedings of the 3rd Regional Symposium on Landslides in the Adriatic Balkan Region, 11-13 October 2017, Ljubljana, Slovenia
Geological Survey of Slovenia, Ljubljana., 65-71.
https://doi.org/10.5474/9789616498593

Abolmasov B, Pejić M, Samardžić-Petrović M, Đurić U, Milenković S. Automated GNSS monitoring of Umka landslide review of seven years experience and results. in Advances in Landslide Research: Proceedings of the 3rd Regional Symposium on Landslides in the Adriatic Balkan Region, 11-13 October 2017, Ljubljana, Slovenia. 2018;:65-71.
doi:10.5474/9789616498593 .

Abolmasov, Biljana, Pejić, Marko, Samardžić-Petrović, Mileva, Đurić, Uroš, Milenković, S., "Automated GNSS monitoring of Umka landslide review of seven years experience and results" in Advances in Landslide Research: Proceedings of the 3rd Regional Symposium on Landslides in the Adriatic Balkan Region, 11-13 October 2017, Ljubljana, Slovenia (2018):65-71,
https://doi.org/10.5474/9789616498593 . .

TY  - CONF
AU  - Abolmasov, Biljana
AU  - Damjanović, D.
AU  - Marjanović, M.
AU  - Todorović, S.
AU  - Stanković, Ranka
AU  - Đurić, Uroš
AU  - Nikolić, V.
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1643
AB  - Project on “Harmonization of landslide data and training of municipalities for its monitoring (BEyond landslide aWAREness) BEWARE“, was implemented by the Geological Survey of Serbia, and the University of Belgrade Faculty of Mining and Geology during 2015-2016. The Project partners were UNDP Office in Serbia, Ministry of Mining and Energy and Agency for Public Investments of the Republic of Serbia. The overall aim of BEWARE project was to standardize post-event landslide database and closely involve local community of 27 municipalities affected by May 2014 flooding and landslides episode in Serbia (Figure 1a, 1c), and prepare them to cope with catastrophic events in the future. In this paper, we are presenting main BEWARE project activities and results implemented in local communities of Serbia after the May 2014 event.
PB  - Srpsko geološko društvo, Beograd
C3  - Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2
T1  - Project BEWARE - approaching to open landslides data
T1  - Projekat BEWARE - približavanje otvorenim podacima o klizištima
EP  - 609
SP  - 605
VL  - 2
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1643
ER  - 

@conference{
author = "Abolmasov, Biljana and Damjanović, D. and Marjanović, M. and Todorović, S. and Stanković, Ranka and Đurić, Uroš and Nikolić, V.",
year = "2018",
abstract = "Project on “Harmonization of landslide data and training of municipalities for its monitoring (BEyond landslide aWAREness) BEWARE“, was implemented by the Geological Survey of Serbia, and the University of Belgrade Faculty of Mining and Geology during 2015-2016. The Project partners were UNDP Office in Serbia, Ministry of Mining and Energy and Agency for Public Investments of the Republic of Serbia. The overall aim of BEWARE project was to standardize post-event landslide database and closely involve local community of 27 municipalities affected by May 2014 flooding and landslides episode in Serbia (Figure 1a, 1c), and prepare them to cope with catastrophic events in the future. In this paper, we are presenting main BEWARE project activities and results implemented in local communities of Serbia after the May 2014 event.",
publisher = "Srpsko geološko društvo, Beograd",
journal = "Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2",
title = "Project BEWARE - approaching to open landslides data, Projekat BEWARE - približavanje otvorenim podacima o klizištima",
pages = "609-605",
volume = "2",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1643"
}

Abolmasov, B., Damjanović, D., Marjanović, M., Todorović, S., Stanković, R., Đurić, U.,& Nikolić, V.. (2018). Project BEWARE - approaching to open landslides data. in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2
Srpsko geološko društvo, Beograd., 2, 605-609.
https://hdl.handle.net/21.15107/rcub_grafar_1643

Abolmasov B, Damjanović D, Marjanović M, Todorović S, Stanković R, Đurić U, Nikolić V. Project BEWARE - approaching to open landslides data. in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2. 2018;2:605-609.
https://hdl.handle.net/21.15107/rcub_grafar_1643 .

Abolmasov, Biljana, Damjanović, D., Marjanović, M., Todorović, S., Stanković, Ranka, Đurić, Uroš, Nikolić, V., "Project BEWARE - approaching to open landslides data" in Knjiga apstrakata / 17. Kongres geologa Srbije, Vrnjačka Banja, 17-20. maj 2018. = Book of abstracts / 17th Serbian Geological Congress, Vrnjačka banja, Maz 17-20, 2018. Vol. 2, 2 (2018):605-609,
https://hdl.handle.net/21.15107/rcub_grafar_1643 .