The application of GNSS and LIDAR technology for infrastructure facilities and terrain stability monitoring

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The application of GNSS and LIDAR technology for infrastructure facilities and terrain stability monitoring (en)
Примена GNSS и LIDAR технологије у мониторингу стабилности инфраструктурних објеката и терена (sr)
Primena GNSS i LIDAR tehnologije u monitoringu stabilnosti infrastrukturnih objekata i terena (sr_RS)
Authors

Publications

Ocena pomeranja inženjerskih struktura u programskom paketu PANDA

Bozić, Branko; Milovanović, Branko; Vasiljević, Slavko

(Savez inzenjera i tehnicara Srbije, 2022)

TY  - JOUR
AU  - Bozić, Branko
AU  - Milovanović, Branko
AU  - Vasiljević, Slavko
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2701
AB  - U radu se opisuje ocena značajnosti pomeranja tačaka deformacione strukture (objekta) geodetskom metodom deformacione analize. Saglasno unapred pretpostavljenom pomeranju strukture, u dva različita plana merenja, simulirani su podaci merenja dužina u dve različite vremenske epohe. Primenom programa PANDA ocenjen je intenzitet i pravac deformacije, u obe varijante plana merenja. U okviru ocene deformacija, kroz postupak u jednom i u dva koraka, analizirane su različite strategije ocena
stabilnosti. U oba slučaja postignuta je očekivana saglasnost sa unapred pretpostavljenom vrednošću dok je moć testa pokazala zavisnost od plana merenja ili kvaliteta modela.
PB  - Savez inzenjera i tehnicara Srbije
T2  - Tehnika
T1  - Ocena pomeranja inženjerskih struktura u programskom paketu PANDA
VL  - 77(3)
DO  - https://doi.org/10.5937/tehnika2203295B
ER  - 
@article{
author = "Bozić, Branko and Milovanović, Branko and Vasiljević, Slavko",
year = "2022",
abstract = "U radu se opisuje ocena značajnosti pomeranja tačaka deformacione strukture (objekta) geodetskom metodom deformacione analize. Saglasno unapred pretpostavljenom pomeranju strukture, u dva različita plana merenja, simulirani su podaci merenja dužina u dve različite vremenske epohe. Primenom programa PANDA ocenjen je intenzitet i pravac deformacije, u obe varijante plana merenja. U okviru ocene deformacija, kroz postupak u jednom i u dva koraka, analizirane su različite strategije ocena
stabilnosti. U oba slučaja postignuta je očekivana saglasnost sa unapred pretpostavljenom vrednošću dok je moć testa pokazala zavisnost od plana merenja ili kvaliteta modela.",
publisher = "Savez inzenjera i tehnicara Srbije",
journal = "Tehnika",
title = "Ocena pomeranja inženjerskih struktura u programskom paketu PANDA",
volume = "77(3)",
doi = "https://doi.org/10.5937/tehnika2203295B"
}
Bozić, B., Milovanović, B.,& Vasiljević, S.. (2022). Ocena pomeranja inženjerskih struktura u programskom paketu PANDA. in Tehnika
Savez inzenjera i tehnicara Srbije., 77(3).
https://doi.org/https://doi.org/10.5937/tehnika2203295B
Bozić B, Milovanović B, Vasiljević S. Ocena pomeranja inženjerskih struktura u programskom paketu PANDA. in Tehnika. 2022;77(3).
doi:https://doi.org/10.5937/tehnika2203295B .
Bozić, Branko, Milovanović, Branko, Vasiljević, Slavko, "Ocena pomeranja inženjerskih struktura u programskom paketu PANDA" in Tehnika, 77(3) (2022),
https://doi.org/https://doi.org/10.5937/tehnika2203295B . .

Pre-failure deformation monitoring as rockfall prediction tool

Marjanović, Miloš; Abolmasov, Biljana; Berisavljević, Zoran; Pejić, Marko; Vranić, Petko

(IOP Publishing, 2021)

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 . .
1

Permanent GNSS monitoring of landslide Umka

Samardžić-Petrović, Mileva; Popović, Jovan; Đurić, Uroš; Abolmasov, Biljana; Pejić, Marko; Marjanović, Miloš

(University of Banja Luka Faculty of Architecture, Civil Engineering and Geode, 2020)

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 . .
4

Značaj geodetskog inženjerstva u inženjersko-tehničkim oblastima

Božić, Branko

(Savez inzenjera i tehnicara Srbije, 2020)

TY  - JOUR
AU  - Božić, Branko
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2100
AB  - Rad se bavi zakonskim utemeljenjem uloge geodetske delatnosti u oblasti građevinskog inženjerstva u Republici Srbiji. Ukazuje se na permanentno umanjenje uloge geodetske struke u praksi što može dovesti do ozbiljnih posledica i značajne materijalne štete po društvo i pojedinca. I dok se prema ranijim propisima ništa nije moglo izgraditi i staviti u funkciju bez kontrole stabilnosti tla i objekta ili geometrije objekta od strane geodetske struke, novodonetim propisima se ta obaveza često zaobilazi, oslanjajući se na procenu izvođača ili vizuelnu kontrolu, preskačući fazu bez koje se značajniji građevinski radovi nekada nisu mogli ni zamisliti, a kamoli izdati upotrebna dozvola. Pretpostavka je da motiv za ovakvo stanje leži u sveprisutnoj potrebi za ubrzanjem tehnoloških postupaka gradnje s ciljem dostizanja nerealnih rokova i stvaranjem predstave o većoj efikasnosti rada, suprotno kvalitetu i bezbednosti gradnje.
PB  - Savez inzenjera i tehnicara Srbije
T2  - Tehnika
T1  - Značaj geodetskog inženjerstva u inženjersko-tehničkim oblastima
EP  - 294
IS  - 3
SP  - 289
VL  - 75
DO  - 10.5937/tehnika2003289B
ER  - 
@article{
author = "Božić, Branko",
year = "2020",
abstract = "Rad se bavi zakonskim utemeljenjem uloge geodetske delatnosti u oblasti građevinskog inženjerstva u Republici Srbiji. Ukazuje se na permanentno umanjenje uloge geodetske struke u praksi što može dovesti do ozbiljnih posledica i značajne materijalne štete po društvo i pojedinca. I dok se prema ranijim propisima ništa nije moglo izgraditi i staviti u funkciju bez kontrole stabilnosti tla i objekta ili geometrije objekta od strane geodetske struke, novodonetim propisima se ta obaveza često zaobilazi, oslanjajući se na procenu izvođača ili vizuelnu kontrolu, preskačući fazu bez koje se značajniji građevinski radovi nekada nisu mogli ni zamisliti, a kamoli izdati upotrebna dozvola. Pretpostavka je da motiv za ovakvo stanje leži u sveprisutnoj potrebi za ubrzanjem tehnoloških postupaka gradnje s ciljem dostizanja nerealnih rokova i stvaranjem predstave o većoj efikasnosti rada, suprotno kvalitetu i bezbednosti gradnje.",
publisher = "Savez inzenjera i tehnicara Srbije",
journal = "Tehnika",
title = "Značaj geodetskog inženjerstva u inženjersko-tehničkim oblastima",
pages = "294-289",
number = "3",
volume = "75",
doi = "10.5937/tehnika2003289B"
}
Božić, B.. (2020). Značaj geodetskog inženjerstva u inženjersko-tehničkim oblastima. in Tehnika
Savez inzenjera i tehnicara Srbije., 75(3), 289-294.
https://doi.org/10.5937/tehnika2003289B
Božić B. Značaj geodetskog inženjerstva u inženjersko-tehničkim oblastima. in Tehnika. 2020;75(3):289-294.
doi:10.5937/tehnika2003289B .
Božić, Branko, "Značaj geodetskog inženjerstva u inženjersko-tehničkim oblastima" in Tehnika, 75, no. 3 (2020):289-294,
https://doi.org/10.5937/tehnika2003289B . .

Geodetic deformation monitoring of the factory facility for waste water treatment

Božić, Branko

(2020)

TY  - CONF
AU  - Božić, Branko
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2184
AB  - U deformacionoj analizi, zasnovanoj na geodetskim mjerenjima u različitim vremenskim periodima, nastali pomaci i deformacije izgrađenih objekata otkrivaju se i utvrđuju korišćenjem metoda deformacione (statističke) analize. U radu se daje pregled realizovanih mjerenja visinskih razlika u nultoj i prvoj epohi 1D osmatranja postrojenja za prečišćavanje otpadnih voda u gradu Bihaću. Podaci mjerenja se obrađuju u višenamjenskom programskom paketu „PANDA“. Projektovana 1D geodetska mrežа obezbijedila je pouzdanu osnovu za dobijanje relevantnih informаcija o vertikalnoj stаbilnosti objekta postrojenja za prečišćavanje otpadnih voda. Ocenjene vrijednosti deformacija ukazuju na značajna odstupanja delova objekta u vertikalnoj ravni.
C3  - Proceedeeng of the 7th International Conference “Civil Engineering – Science and Practice”,   GNP 2020, Kolašin, Montenegro
T1  - Geodetic deformation monitoring of the factory facility for waste water treatment
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2184
ER  - 
@conference{
author = "Božić, Branko",
year = "2020",
abstract = "U deformacionoj analizi, zasnovanoj na geodetskim mjerenjima u različitim vremenskim periodima, nastali pomaci i deformacije izgrađenih objekata otkrivaju se i utvrđuju korišćenjem metoda deformacione (statističke) analize. U radu se daje pregled realizovanih mjerenja visinskih razlika u nultoj i prvoj epohi 1D osmatranja postrojenja za prečišćavanje otpadnih voda u gradu Bihaću. Podaci mjerenja se obrađuju u višenamjenskom programskom paketu „PANDA“. Projektovana 1D geodetska mrežа obezbijedila je pouzdanu osnovu za dobijanje relevantnih informаcija o vertikalnoj stаbilnosti objekta postrojenja za prečišćavanje otpadnih voda. Ocenjene vrijednosti deformacija ukazuju na značajna odstupanja delova objekta u vertikalnoj ravni.",
journal = "Proceedeeng of the 7th International Conference “Civil Engineering – Science and Practice”,   GNP 2020, Kolašin, Montenegro",
title = "Geodetic deformation monitoring of the factory facility for waste water treatment",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2184"
}
Božić, B.. (2020). Geodetic deformation monitoring of the factory facility for waste water treatment. in Proceedeeng of the 7th International Conference “Civil Engineering – Science and Practice”,   GNP 2020, Kolašin, Montenegro.
https://hdl.handle.net/21.15107/rcub_grafar_2184
Božić B. Geodetic deformation monitoring of the factory facility for waste water treatment. in Proceedeeng of the 7th International Conference “Civil Engineering – Science and Practice”,   GNP 2020, Kolašin, Montenegro. 2020;.
https://hdl.handle.net/21.15107/rcub_grafar_2184 .
Božić, Branko, "Geodetic deformation monitoring of the factory facility for waste water treatment" in Proceedeeng of the 7th International Conference “Civil Engineering – Science and Practice”,   GNP 2020, Kolašin, Montenegro (2020),
https://hdl.handle.net/21.15107/rcub_grafar_2184 .

GNSS Time Series as a Tool for Seismic Activity Analysis Related to Infrastructure Utilities

Božić, Branko

(Springer, Cham, 2020)

TY  - CONF
AU  - Božić, Branko
PY  - 2020
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2183
AB  - GNSS technology tracks the movements of the Earth’s crust and its deformation with high accuracy over shorter spatial and temporal periods. Time series of GNSS coordinates are commonly used for geophysical research and have proven to be useful in the research of the cycles of seismic deformations which relate to the whole seismic cycle. The seismic of the Earth’s crust could have a great impact on engineering infrastructure. They can damage the objects or cause disaster. GNSS could provide useful information on the deformation of the Earth’s crust, which contributes to a better understanding of the occurrence of surface stresses. Earthquake activity is closely related to the dynamics of large tectonic plates. In the article, GNSS time series analysis was used to estimate coseismic displacements with high accuracy and reliability. The GNSS data analysis was related to earthquakes around Durres from January 20th, 2014 to November 28th, 2019, recorded at four permanent GNSS-stations (Ohrid, Dubrovnik, Lecce and Matera). The studied area covers the territory under the influence of the Adriatic microplate which is one of the most important drivers of tectonic processes in the area. The research of interrelation between seismic activity and continuous GNSS measurement could be very useful for earthquake studies and provide good information for designers of engineering projects and maintenance of it.
PB  - Springer, Cham
C3  - Contributions to International Conferences on Engineering Surveying. Springer Proceedings in Earth and Environmental Sciences. Springer
T1  - GNSS Time Series as a Tool for Seismic Activity Analysis Related to Infrastructure Utilities
DO  - 10.1007/978-3-030-51953-7_21
ER  - 
@conference{
author = "Božić, Branko",
year = "2020",
abstract = "GNSS technology tracks the movements of the Earth’s crust and its deformation with high accuracy over shorter spatial and temporal periods. Time series of GNSS coordinates are commonly used for geophysical research and have proven to be useful in the research of the cycles of seismic deformations which relate to the whole seismic cycle. The seismic of the Earth’s crust could have a great impact on engineering infrastructure. They can damage the objects or cause disaster. GNSS could provide useful information on the deformation of the Earth’s crust, which contributes to a better understanding of the occurrence of surface stresses. Earthquake activity is closely related to the dynamics of large tectonic plates. In the article, GNSS time series analysis was used to estimate coseismic displacements with high accuracy and reliability. The GNSS data analysis was related to earthquakes around Durres from January 20th, 2014 to November 28th, 2019, recorded at four permanent GNSS-stations (Ohrid, Dubrovnik, Lecce and Matera). The studied area covers the territory under the influence of the Adriatic microplate which is one of the most important drivers of tectonic processes in the area. The research of interrelation between seismic activity and continuous GNSS measurement could be very useful for earthquake studies and provide good information for designers of engineering projects and maintenance of it.",
publisher = "Springer, Cham",
journal = "Contributions to International Conferences on Engineering Surveying. Springer Proceedings in Earth and Environmental Sciences. Springer",
title = "GNSS Time Series as a Tool for Seismic Activity Analysis Related to Infrastructure Utilities",
doi = "10.1007/978-3-030-51953-7_21"
}
Božić, B.. (2020). GNSS Time Series as a Tool for Seismic Activity Analysis Related to Infrastructure Utilities. in Contributions to International Conferences on Engineering Surveying. Springer Proceedings in Earth and Environmental Sciences. Springer
Springer, Cham..
https://doi.org/10.1007/978-3-030-51953-7_21
Božić B. GNSS Time Series as a Tool for Seismic Activity Analysis Related to Infrastructure Utilities. in Contributions to International Conferences on Engineering Surveying. Springer Proceedings in Earth and Environmental Sciences. Springer. 2020;.
doi:10.1007/978-3-030-51953-7_21 .
Božić, Branko, "GNSS Time Series as a Tool for Seismic Activity Analysis Related to Infrastructure Utilities" in Contributions to International Conferences on Engineering Surveying. Springer Proceedings in Earth and Environmental Sciences. Springer (2020),
https://doi.org/10.1007/978-3-030-51953-7_21 . .

Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept

Đurić, Uroš; Marjanović, Miloš; Radić, Zoran; Abolmasov, Biljana

(Elsevier, 2019)

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 . .
36
19
40

Concepts for improving machine learning based landslide assessment

Marjanović, Miloš; Samardžić-Petrović, Mileva; Abolmasov, Biljana; Đurić, Uroš

(Springer Netherlands, 2019)

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 . .
4
5

Multihazard Exposure Assessment on the Valjevo City Road Network

Marjanović, Miloš; Abolmasov, Biljana; Milenković, Svetozar; Đurić, Uroš; Samardžić-Petrović, Mileva

(Elsevier, 2019)

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 . .

Illegal construction - individual benefit and immeasurable social damage

Gospavić, Zagorka; Božoć, Branko

(Faculty of Technology of Belgrade, Serbia, 2019)

TY  - CONF
AU  - Gospavić, Zagorka
AU  - Božoć, Branko
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2431
AB  - The paper will analyze the phenomenon of illegal construction in the Republic of Serbia, its emergence as a social phenomenon, an attempt to suppress and evident escalation lately. Legal solutions will be analyzed and their contribution to the suppression of illegal construction will be valued. The emphasis will be given to the current situation and the assessment of the future effects of the immeasurable social damage caused by illegal construction on the entire spatial environment and the living environment. The paper will illustrate several case studies that represent different levels of illegality, from the construction of objects in protected nature reserves or zones in which they should never have been built, from the disrespect procedure's of the received valid technical documentation, to the exceeding of the dimensions of the facilities in position and height, of which each individual case presents illegal construction with different negative impacts on the environment.
PB  - Faculty of Technology of Belgrade, Serbia
C3  - International scientific conference Environmental impact of illegal construction, poor planning and design IMPEDE 2019
T1  - Illegal construction - individual benefit and immeasurable social damage
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2431
ER  - 
@conference{
author = "Gospavić, Zagorka and Božoć, Branko",
year = "2019",
abstract = "The paper will analyze the phenomenon of illegal construction in the Republic of Serbia, its emergence as a social phenomenon, an attempt to suppress and evident escalation lately. Legal solutions will be analyzed and their contribution to the suppression of illegal construction will be valued. The emphasis will be given to the current situation and the assessment of the future effects of the immeasurable social damage caused by illegal construction on the entire spatial environment and the living environment. The paper will illustrate several case studies that represent different levels of illegality, from the construction of objects in protected nature reserves or zones in which they should never have been built, from the disrespect procedure's of the received valid technical documentation, to the exceeding of the dimensions of the facilities in position and height, of which each individual case presents illegal construction with different negative impacts on the environment.",
publisher = "Faculty of Technology of Belgrade, Serbia",
journal = "International scientific conference Environmental impact of illegal construction, poor planning and design IMPEDE 2019",
title = "Illegal construction - individual benefit and immeasurable social damage",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2431"
}
Gospavić, Z.,& Božoć, B.. (2019). Illegal construction - individual benefit and immeasurable social damage. in International scientific conference Environmental impact of illegal construction, poor planning and design IMPEDE 2019
Faculty of Technology of Belgrade, Serbia..
https://hdl.handle.net/21.15107/rcub_grafar_2431
Gospavić Z, Božoć B. Illegal construction - individual benefit and immeasurable social damage. in International scientific conference Environmental impact of illegal construction, poor planning and design IMPEDE 2019. 2019;.
https://hdl.handle.net/21.15107/rcub_grafar_2431 .
Gospavić, Zagorka, Božoć, Branko, "Illegal construction - individual benefit and immeasurable social damage" in International scientific conference Environmental impact of illegal construction, poor planning and design IMPEDE 2019 (2019),
https://hdl.handle.net/21.15107/rcub_grafar_2431 .

Еталонирање терестричких ласерских скенера у лабораторијским условима

Petković, Dušan; Pejić, Marko

(2019)

TY  - JOUR
AU  - Petković, Dušan
AU  - Pejić, Marko
PY  - 2019
UR  - https://scindeks.ceon.rs/Article.aspx?artid=0040-21761904507P
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1854
AB  - Терестричко ласерско скенирање (ТЛС) представља методу брзог прикупљања велике количине података у виду „облака тачака“ који нам касније представља основу за приказивање реалног стања „објекта“ у виду тродимензионалног модела и вршење разних анализа над њим. Перманентни развој технологије, хардвера и софтвера у претходних 10-ак година је у великој мери утицао на експанизију методе ТЛС-а, и на квалитет података који добијамо као резултат њене примене. Методу ТЛС-а можемо декларисати као једну од „најмлађих“ метода која се користи у геодезији, грађевинарству, архитектури, просторном планнирању и др. Међутим, методи ТЛС-а недостају јасно дефинисане и стандардизоване теренске процедуре као и методе испитивања и еталонирања инструмената и прибора који се користи. Такође, још увек не постоји међународни стандард који би унифицирао декларисање карактеристика инструмената од стране произвођача. 
У овом раду је дат преглед свих процеса и прорачуна у циљу успостављања метролошког полигона за потребе еталонирања терестричко ласерских скенера. Приказана је и анализа података прикупљених приликом еталонирања три модела терестричко ласерских скенера.
T2  - Техника
T1  - Еталонирање терестричких ласерских скенера у лабораторијским условима
IS  - 4
VL  - 74
DO  - 10.5937/tehnika1904507P
ER  - 
@article{
author = "Petković, Dušan and Pejić, Marko",
year = "2019",
abstract = "Терестричко ласерско скенирање (ТЛС) представља методу брзог прикупљања велике количине података у виду „облака тачака“ који нам касније представља основу за приказивање реалног стања „објекта“ у виду тродимензионалног модела и вршење разних анализа над њим. Перманентни развој технологије, хардвера и софтвера у претходних 10-ак година је у великој мери утицао на експанизију методе ТЛС-а, и на квалитет података који добијамо као резултат њене примене. Методу ТЛС-а можемо декларисати као једну од „најмлађих“ метода која се користи у геодезији, грађевинарству, архитектури, просторном планнирању и др. Међутим, методи ТЛС-а недостају јасно дефинисане и стандардизоване теренске процедуре као и методе испитивања и еталонирања инструмената и прибора који се користи. Такође, још увек не постоји међународни стандард који би унифицирао декларисање карактеристика инструмената од стране произвођача. 
У овом раду је дат преглед свих процеса и прорачуна у циљу успостављања метролошког полигона за потребе еталонирања терестричко ласерских скенера. Приказана је и анализа података прикупљених приликом еталонирања три модела терестричко ласерских скенера.",
journal = "Техника",
title = "Еталонирање терестричких ласерских скенера у лабораторијским условима",
number = "4",
volume = "74",
doi = "10.5937/tehnika1904507P"
}
Petković, D.,& Pejić, M.. (2019). Еталонирање терестричких ласерских скенера у лабораторијским условима. in Техника, 74(4).
https://doi.org/10.5937/tehnika1904507P
Petković D, Pejić M. Еталонирање терестричких ласерских скенера у лабораторијским условима. in Техника. 2019;74(4).
doi:10.5937/tehnika1904507P .
Petković, Dušan, Pejić, Marko, "Еталонирање терестричких ласерских скенера у лабораторијским условима" in Техника, 74, no. 4 (2019),
https://doi.org/10.5937/tehnika1904507P . .

Monitoring of erosion in the area of Đabolja Varoš: Project "Međa"

Đurić, Uroš; Pejić, Marko; Marjanović, Miloš; Đurić, D.; Krušić, Jelka

(Srpsko geološko društvo, Beograd, 2018)

TY  - CONF
AU  - Đurić, Uroš
AU  - Pejić, Marko
AU  - Marjanović, Miloš
AU  - Đurić, D.
AU  - Krušić, Jelka
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1644
AB  - Project "Мonitoring оf Erosion on the Đavolja Varoš site ‐ MEĐA: sustainability of natural phenomena in climate change conditions ", was created by a team of young scientists and PhD students from the Faculty of Mining and Geology and Faculty of Civil Engineering, University of Belgrade. The area of interest is Đavolja Varoš, near Kuršumlija, where all field research will be carried out, while the analysis of the collected data will be done at the Faculty of Mining and Geology and Faculty of Civil Engineering in Belgrade. MEĐA aims to popularize the natural values of the protected area of Đavolja Varoš, but also to raise awareness about the problems of sustainability of this natural phenomenon in the climate change conditions (Naydenova 2012), among the wider and local public, as well as among the scientific circles in the country and abroad. Indirectly, the project encourages local activism through local involvement in the development of this research and its results, responsible planning, interdisciplinary approach to solving problems and approaching the problem of the local population through education, which should be stimulative for the preservation and promotion of the natural heritage. The desired long‐term effect that would result from this research should have a significant part in the overall socioeconomic development of the municipality of Kuršumlija, and the entire Toplica district.
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  - Monitoring of erosion in the area of Đabolja Varoš: Project "Međa"
T1  - Monitoring erozije na području Đavolje Varoši: Projekat „Međa“
EP  - 785
SP  - 780
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1644
ER  - 
@conference{
author = "Đurić, Uroš and Pejić, Marko and Marjanović, Miloš and Đurić, D. and Krušić, Jelka",
year = "2018",
abstract = "Project "Мonitoring оf Erosion on the Đavolja Varoš site ‐ MEĐA: sustainability of natural phenomena in climate change conditions ", was created by a team of young scientists and PhD students from the Faculty of Mining and Geology and Faculty of Civil Engineering, University of Belgrade. The area of interest is Đavolja Varoš, near Kuršumlija, where all field research will be carried out, while the analysis of the collected data will be done at the Faculty of Mining and Geology and Faculty of Civil Engineering in Belgrade. MEĐA aims to popularize the natural values of the protected area of Đavolja Varoš, but also to raise awareness about the problems of sustainability of this natural phenomenon in the climate change conditions (Naydenova 2012), among the wider and local public, as well as among the scientific circles in the country and abroad. Indirectly, the project encourages local activism through local involvement in the development of this research and its results, responsible planning, interdisciplinary approach to solving problems and approaching the problem of the local population through education, which should be stimulative for the preservation and promotion of the natural heritage. The desired long‐term effect that would result from this research should have a significant part in the overall socioeconomic development of the municipality of Kuršumlija, and the entire Toplica district.",
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 = "Monitoring of erosion in the area of Đabolja Varoš: Project "Međa", Monitoring erozije na području Đavolje Varoši: Projekat „Međa“",
pages = "785-780",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1644"
}
Đurić, U., Pejić, M., Marjanović, M., Đurić, D.,& Krušić, J.. (2018). Monitoring of erosion in the area of Đabolja Varoš: Project "Međa". 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., 780-785.
https://hdl.handle.net/21.15107/rcub_grafar_1644
Đurić U, Pejić M, Marjanović M, Đurić D, Krušić J. Monitoring of erosion in the area of Đabolja Varoš: Project "Međa". 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;:780-785.
https://hdl.handle.net/21.15107/rcub_grafar_1644 .
Đurić, Uroš, Pejić, Marko, Marjanović, Miloš, Đurić, D., Krušić, Jelka, "Monitoring of erosion in the area of Đabolja Varoš: Project "Međa"" 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):780-785,
https://hdl.handle.net/21.15107/rcub_grafar_1644 .

The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique

Marjanović, Miloš; Krautblatter, Michael; Abolmasov, Biljana; Đurić, Uroš; Sandić, Cvjetko; Nikolić, Velizar

(Elsevier B.V., 2018)

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 . .
37
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Издвајање и визуелизација знања из текстуалних извора за потребе управљања инвестиционим пројектима у грађевинарству

Nedeljković, Đorđe Lj.

(Универзитет у Београду, Грађевински факултет, 2018)

TY  - THES
AU  - Nedeljković, Đorđe Lj.
PY  - 2018
UR  - http://eteze.bg.ac.rs/application/showtheses?thesesId=6485
UR  - https://fedorabg.bg.ac.rs/fedora/get/o:19221/bdef:Content/download
UR  - http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=513801618
UR  - http://nardus.mpn.gov.rs/123456789/10623
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1684
AB  - Током животног циклуса инвестиционог пројекта ствара се велики корпус неструктуираних и полуструктуираних докумената. Традиционални приступи у складиштењу и организовању информација из неструктуираних податка су оријентисани на рад са документима, што их чини неподесним за анализу и издвајање знања. У неструктуираним документима је отежано прикупљање, анализа и поновно коришћење релевантних информација у интегралном облику, што може изазвати проблеме на пројекту услед неблаговремених или неодговарајућих одлука.У овој дисертацији је приказана репрезентација информација издвојених из неструктуираних текстуалних докумената у облику графа значајних фраза, који корисницима треба да омогући визуелизацију и анализу значајних чињеница на пројекту са минималном количином уложеног труда. Са циљем да се конструише доменски независна репрезентација са минималним трудом експерта за претходно конфигурисање, значајне фразе су детектоване у вишејезичном окружењу применом статистичких мера за одређивање корелисаности пара речи. Граф садржи аутоматски издвојене значајне фразе које су повезане на основу сличности семантичких контекста.Репрезентација је имплементирана у графовској бази података што корисницима омогућава да детектују и визуелизују различите скривене обрасце у подацима. Неинформативне фразе су филтриране кроз поступке одређивања ентропије скупа контекста и динамичности суседства фразе кроз више графова који представљају тренутке у времену. Приказана је хеуристика за издвајање комплексних концепата, заснована на итеративној процедури за детекцију блиских фраза које припадају истом семантичком подграфу. Могућности примене предложене репрезентације су демонстриране на графу конструисаном за постојећи корпус докумената са међународног инвестиционог пројекта.
AB  - During a construction project lifecycle, an extensive corpus of unstructured or semi-structured text documents is generated. Traditional approaches for information storing and organizing are document-oriented, which is highly inconvenient for data analysis and knowledge extraction. The nature of unstructured sources impedes users’ acquisition, analysis, and reuse of relevant information, leading to possible negative effects in the project management process.This dissertation suggests a procedure for automatic extraction of relevant project concepts from unstructured text documents. Concepts are organized in the form of a key-phrase network, intended to provide users with the possibility to visualize and analyze valuable project facts with less effort. With the objective of constructing a domain-independent and language-independent key-phrase network, with minimal expert involvement for configuration, an approach to detect key phrases was examined by using measures of correlation for word pairs. A network contains key phrases automatically extracted from various types of unstructured documents, with relations based on the similarity of semantic contexts.The representation was implemented as a graph database, enabling project participants to extract and visualize various patterns in data. The problem of noisy key phrases was reduced by introducing the entropy score for a set of co-occurring contexts and the measure of phrase neighborhood dynamics throughout construction project lifecycle. A heuristic for extraction of complex concepts is presented, based on the iterative procedure for detection of adjacent key phrases belonging to a same semantic subnetwork. Possible applications, such as concept tracking through time or determination of communication patterns between project participants, is demonstrated using a key-phrase network generated for the existing document corpus from an international construction project.
PB  - Универзитет у Београду, Грађевински факултет
T2  - Универзитет у Београду
T1  - Издвајање и визуелизација знања из текстуалних извора за потребе управљања инвестиционим пројектима у грађевинарству
UR  - https://hdl.handle.net/21.15107/rcub_nardus_10623
ER  - 
@phdthesis{
author = "Nedeljković, Đorđe Lj.",
year = "2018",
abstract = "Током животног циклуса инвестиционог пројекта ствара се велики корпус неструктуираних и полуструктуираних докумената. Традиционални приступи у складиштењу и организовању информација из неструктуираних податка су оријентисани на рад са документима, што их чини неподесним за анализу и издвајање знања. У неструктуираним документима је отежано прикупљање, анализа и поновно коришћење релевантних информација у интегралном облику, што може изазвати проблеме на пројекту услед неблаговремених или неодговарајућих одлука.У овој дисертацији је приказана репрезентација информација издвојених из неструктуираних текстуалних докумената у облику графа значајних фраза, који корисницима треба да омогући визуелизацију и анализу значајних чињеница на пројекту са минималном количином уложеног труда. Са циљем да се конструише доменски независна репрезентација са минималним трудом експерта за претходно конфигурисање, значајне фразе су детектоване у вишејезичном окружењу применом статистичких мера за одређивање корелисаности пара речи. Граф садржи аутоматски издвојене значајне фразе које су повезане на основу сличности семантичких контекста.Репрезентација је имплементирана у графовској бази података што корисницима омогућава да детектују и визуелизују различите скривене обрасце у подацима. Неинформативне фразе су филтриране кроз поступке одређивања ентропије скупа контекста и динамичности суседства фразе кроз више графова који представљају тренутке у времену. Приказана је хеуристика за издвајање комплексних концепата, заснована на итеративној процедури за детекцију блиских фраза које припадају истом семантичком подграфу. Могућности примене предложене репрезентације су демонстриране на графу конструисаном за постојећи корпус докумената са међународног инвестиционог пројекта., During a construction project lifecycle, an extensive corpus of unstructured or semi-structured text documents is generated. Traditional approaches for information storing and organizing are document-oriented, which is highly inconvenient for data analysis and knowledge extraction. The nature of unstructured sources impedes users’ acquisition, analysis, and reuse of relevant information, leading to possible negative effects in the project management process.This dissertation suggests a procedure for automatic extraction of relevant project concepts from unstructured text documents. Concepts are organized in the form of a key-phrase network, intended to provide users with the possibility to visualize and analyze valuable project facts with less effort. With the objective of constructing a domain-independent and language-independent key-phrase network, with minimal expert involvement for configuration, an approach to detect key phrases was examined by using measures of correlation for word pairs. A network contains key phrases automatically extracted from various types of unstructured documents, with relations based on the similarity of semantic contexts.The representation was implemented as a graph database, enabling project participants to extract and visualize various patterns in data. The problem of noisy key phrases was reduced by introducing the entropy score for a set of co-occurring contexts and the measure of phrase neighborhood dynamics throughout construction project lifecycle. A heuristic for extraction of complex concepts is presented, based on the iterative procedure for detection of adjacent key phrases belonging to a same semantic subnetwork. Possible applications, such as concept tracking through time or determination of communication patterns between project participants, is demonstrated using a key-phrase network generated for the existing document corpus from an international construction project.",
publisher = "Универзитет у Београду, Грађевински факултет",
journal = "Универзитет у Београду",
title = "Издвајање и визуелизација знања из текстуалних извора за потребе управљања инвестиционим пројектима у грађевинарству",
url = "https://hdl.handle.net/21.15107/rcub_nardus_10623"
}
Nedeljković, Đ. Lj.. (2018). Издвајање и визуелизација знања из текстуалних извора за потребе управљања инвестиционим пројектима у грађевинарству. in Универзитет у Београду
Универзитет у Београду, Грађевински факултет..
https://hdl.handle.net/21.15107/rcub_nardus_10623
Nedeljković ĐL. Издвајање и визуелизација знања из текстуалних извора за потребе управљања инвестиционим пројектима у грађевинарству. in Универзитет у Београду. 2018;.
https://hdl.handle.net/21.15107/rcub_nardus_10623 .
Nedeljković, Đorđe Lj., "Издвајање и визуелизација знања из текстуалних извора за потребе управљања инвестиционим пројектима у грађевинарству" in Универзитет у Београду (2018),
https://hdl.handle.net/21.15107/rcub_nardus_10623 .

Modelling extreme values of the total electron content: Case study of Serbia

Todorović-Drakul, Miljana; Samardžić-Petrović, Mileva; Grekulović, Sanja; Odalović, Oleg; Blagojević, Dragan

(Geofizicki Zavod, 2018)

TY  - JOUR
AU  - Todorović-Drakul, Miljana
AU  - Samardžić-Petrović, Mileva
AU  - Grekulović, Sanja
AU  - Odalović, Oleg
AU  - Blagojević, Dragan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/955
AB  - This paper is dedicated to modeling extreme TEC (Total Electron Content) values at the territory of Serbia. For the extreme TEC values, we consider the maximum values from the peak of the 11-year cycle of solar activity in the years 2013, 2014 and 2015 for the days of the winter and summer solstice and autumnal and vernal equinox. The average TEC values between 10 and 12 UT (Universal Time) were treated. As the basic data for all processing, we used GNSS (Global Navigation Satellite System) observation obtained by three permanent stations located in the territory of Serbia. Those data, we accept as actual, i. e. as a "true TEC values". The main objectives of this research were to examine the possibility to use two machine learning techniques: neural networks and support vector machine. In order to emphasize the quality of applied techniques, all results are adequately compared to the TEC values obtained by using International Reference Ionosphere global model. In addition, we separately analyzed the quality of techniques throughout temporal and spatial-temporal approach.
PB  - Geofizicki Zavod
T2  - Geofizika
T1  - Modelling extreme values of the total electron content: Case study of Serbia
EP  - 314
IS  - 2
SP  - 297
VL  - 34
DO  - 10.15233/gfz.2017.34.12
ER  - 
@article{
author = "Todorović-Drakul, Miljana and Samardžić-Petrović, Mileva and Grekulović, Sanja and Odalović, Oleg and Blagojević, Dragan",
year = "2018",
abstract = "This paper is dedicated to modeling extreme TEC (Total Electron Content) values at the territory of Serbia. For the extreme TEC values, we consider the maximum values from the peak of the 11-year cycle of solar activity in the years 2013, 2014 and 2015 for the days of the winter and summer solstice and autumnal and vernal equinox. The average TEC values between 10 and 12 UT (Universal Time) were treated. As the basic data for all processing, we used GNSS (Global Navigation Satellite System) observation obtained by three permanent stations located in the territory of Serbia. Those data, we accept as actual, i. e. as a "true TEC values". The main objectives of this research were to examine the possibility to use two machine learning techniques: neural networks and support vector machine. In order to emphasize the quality of applied techniques, all results are adequately compared to the TEC values obtained by using International Reference Ionosphere global model. In addition, we separately analyzed the quality of techniques throughout temporal and spatial-temporal approach.",
publisher = "Geofizicki Zavod",
journal = "Geofizika",
title = "Modelling extreme values of the total electron content: Case study of Serbia",
pages = "314-297",
number = "2",
volume = "34",
doi = "10.15233/gfz.2017.34.12"
}
Todorović-Drakul, M., Samardžić-Petrović, M., Grekulović, S., Odalović, O.,& Blagojević, D.. (2018). Modelling extreme values of the total electron content: Case study of Serbia. in Geofizika
Geofizicki Zavod., 34(2), 297-314.
https://doi.org/10.15233/gfz.2017.34.12
Todorović-Drakul M, Samardžić-Petrović M, Grekulović S, Odalović O, Blagojević D. Modelling extreme values of the total electron content: Case study of Serbia. in Geofizika. 2018;34(2):297-314.
doi:10.15233/gfz.2017.34.12 .
Todorović-Drakul, Miljana, Samardžić-Petrović, Mileva, Grekulović, Sanja, Odalović, Oleg, Blagojević, Dragan, "Modelling extreme values of the total electron content: Case study of Serbia" in Geofizika, 34, no. 2 (2018):297-314,
https://doi.org/10.15233/gfz.2017.34.12 . .
1
1

Rockfall simulation on a rock slope along E75 road at km 890+725 to 891+093

Abolmasov, Biljana; Marjanović, Miloš; Milenković, Svetozar; Pejić, Marko; Berisavljević, Zoran

(Willey Ernst and Sons, 2018)

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 . .

Building objects and huseholds inventorying for the purpose of risk estimation on the Umka landslide near Belgrade

Đurić, Uroš; Marjanović, Miloš; Abolmasov, Biljana; Radić, Zoran; Jelisavac, Branko

(Srpsko geološko društvo, Beograd, 2018)

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 .

IPL Project 181 Study of slow moving landslide Umka near Belgrade, Serbia progress report for 2017 & 2018

Đurić, Uroš; Abolmasov, Biljana; Marjanović, M.; Samardžić-Petrović, Mileva; Pejić, Marko; Brodić, Nenad; Popović, Jovan

(The International Consortium on Landslides (ICL), Kyoto, 2018)

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 .

Jointed rock mass characterization using field and point-cloud data

Marjanović, M.; Pejić, Marko; Krušić, Jelka; Abolmasov, Biljana

(CRC Press/Balkema, 2018)

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 .
1

Jointed rock mass characterization using field and point-cloud data

Marjanović, M.; Pejić, Marko; Krušić, Jelka; Abolmasov, Biljana

(CRC Press/Balkema, 2018)

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 .

Sparse regression interaction models for spatial prediction of soil properties in 3D

Pejović, Milutin; Nikolić, Mladen; Heuvelink, Gerard B. M.; Hengl, Tomislav; Kilibarda, Milan; Bajat, Branislav

(Elsevier Ltd, 2018)

TY  - JOUR
AU  - Pejović, Milutin
AU  - Nikolić, Mladen
AU  - Heuvelink, Gerard B. M.
AU  - Hengl, Tomislav
AU  - Kilibarda, Milan
AU  - Bajat, Branislav
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/943
AB  - An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creating sparse 3D models of soil properties for spatial prediction at multiple depths is presented. Modeling soil properties in 3D benefits from interactions of spatial predictors with soil depth and its polynomial expansion, which yields a large number of model variables (and corresponding model parameters). Lasso is able to perform variable selection, hence reducing the number of model parameters and making the model more easily interpretable. This also prevents overfitting, which makes the model more accurate. The presented approach was tested using four variable selection approaches - none, stepwise, lasso and hierarchical lasso, on four kinds of models - standard linear model, linear model with polynomial expansion of depth, linear model with interactions of covariates with depth and linear model with interactions of covariates with depth and its polynomial expansion. This framework was used to predict Soil Organic Carbon (SOC) in three contrasting study areas: Bor (Serbia), Edgeroi (Australia) and the Netherlands. Results show that lasso yields substantial improvements in accuracy over standard and stepwise regression - up to 50 % of total variance. It yields models which contain up to five times less nonzero parameters than the full models and that are usually more sparse than models obtained by stepwise regression, up to three times. Extension of the standard linear model by including interactions typically improves the accuracy of models produced by lasso, but is detrimental to standard and stepwise regression. Regarding computation time, it was demonstrated that lasso is several orders of magnitude more efficient than stepwise regression for models with tens or hundreds of variables (including interactions). Proper model evaluation is emphasized. Considering the fact that lasso requires meta-parameter tuning, standard cross-validation does not suffice for adequate model evaluation, hence a nested cross-validation was employed. The presented approach is implemented as publicly available sparsereg3D R package.
PB  - Elsevier Ltd
T2  - Computers & Geosciences
T1  - Sparse regression interaction models for spatial prediction of soil properties in 3D
EP  - 13
SP  - 1
VL  - 118
DO  - 10.1016/j.cageo.2018.05.008
ER  - 
@article{
author = "Pejović, Milutin and Nikolić, Mladen and Heuvelink, Gerard B. M. and Hengl, Tomislav and Kilibarda, Milan and Bajat, Branislav",
year = "2018",
abstract = "An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creating sparse 3D models of soil properties for spatial prediction at multiple depths is presented. Modeling soil properties in 3D benefits from interactions of spatial predictors with soil depth and its polynomial expansion, which yields a large number of model variables (and corresponding model parameters). Lasso is able to perform variable selection, hence reducing the number of model parameters and making the model more easily interpretable. This also prevents overfitting, which makes the model more accurate. The presented approach was tested using four variable selection approaches - none, stepwise, lasso and hierarchical lasso, on four kinds of models - standard linear model, linear model with polynomial expansion of depth, linear model with interactions of covariates with depth and linear model with interactions of covariates with depth and its polynomial expansion. This framework was used to predict Soil Organic Carbon (SOC) in three contrasting study areas: Bor (Serbia), Edgeroi (Australia) and the Netherlands. Results show that lasso yields substantial improvements in accuracy over standard and stepwise regression - up to 50 % of total variance. It yields models which contain up to five times less nonzero parameters than the full models and that are usually more sparse than models obtained by stepwise regression, up to three times. Extension of the standard linear model by including interactions typically improves the accuracy of models produced by lasso, but is detrimental to standard and stepwise regression. Regarding computation time, it was demonstrated that lasso is several orders of magnitude more efficient than stepwise regression for models with tens or hundreds of variables (including interactions). Proper model evaluation is emphasized. Considering the fact that lasso requires meta-parameter tuning, standard cross-validation does not suffice for adequate model evaluation, hence a nested cross-validation was employed. The presented approach is implemented as publicly available sparsereg3D R package.",
publisher = "Elsevier Ltd",
journal = "Computers & Geosciences",
title = "Sparse regression interaction models for spatial prediction of soil properties in 3D",
pages = "13-1",
volume = "118",
doi = "10.1016/j.cageo.2018.05.008"
}
Pejović, M., Nikolić, M., Heuvelink, G. B. M., Hengl, T., Kilibarda, M.,& Bajat, B.. (2018). Sparse regression interaction models for spatial prediction of soil properties in 3D. in Computers & Geosciences
Elsevier Ltd., 118, 1-13.
https://doi.org/10.1016/j.cageo.2018.05.008
Pejović M, Nikolić M, Heuvelink GBM, Hengl T, Kilibarda M, Bajat B. Sparse regression interaction models for spatial prediction of soil properties in 3D. in Computers & Geosciences. 2018;118:1-13.
doi:10.1016/j.cageo.2018.05.008 .
Pejović, Milutin, Nikolić, Mladen, Heuvelink, Gerard B. M., Hengl, Tomislav, Kilibarda, Milan, Bajat, Branislav, "Sparse regression interaction models for spatial prediction of soil properties in 3D" in Computers & Geosciences, 118 (2018):1-13,
https://doi.org/10.1016/j.cageo.2018.05.008 . .
1
17
10
15

IPL Project 210 Massive landsliding in Serbia following Cyclone Tamara in May 2014 progress report

Abolmasov, Biljana; Marjanović, M.; Đurić, Uroš; Samardžić-Petrović, Mileva; Krušić, Jelka

(The International Consortium on Landslides (ICL), Kyoto, 2018)

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 .

Automated GNSS monitoring of Umka landslide review of seven years experience and results

Abolmasov, Biljana; Pejić, Marko; Samardžić-Petrović, Mileva; Đurić, Uroš; Milenković, S.

(Geological Survey of Slovenia, Ljubljana, 2018)

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 . .
3

Project BEWARE - approaching to open landslides data

Abolmasov, Biljana; Damjanović, D.; Marjanović, M.; Todorović, S.; Stanković, Ranka; Đurić, Uroš; Nikolić, V.

(Srpsko geološko društvo, Beograd, 2018)

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 .

Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia

Đurić, Uroš; Abolmasov, Biljana; Đurić, Uroš; Krušić, Jelka

(2018)

TY  - JOUR
AU  - Đurić, Uroš
AU  - Abolmasov, Biljana
AU  - Đurić, Uroš
AU  - Krušić, Jelka
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1103
T2  - CE/papers, Special Issue: Proceedings of Eurosteel 2018
T1  - Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia
EP  - 370
IS  - 2-3
SP  - 365
VL  - 2
DO  - 10.1002/cepa.698
ER  - 
@article{
author = "Đurić, Uroš and Abolmasov, Biljana and Đurić, Uroš and Krušić, Jelka",
year = "2018",
journal = "CE/papers, Special Issue: Proceedings of Eurosteel 2018",
title = "Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia",
pages = "370-365",
number = "2-3",
volume = "2",
doi = "10.1002/cepa.698"
}
Đurić, U., Abolmasov, B., Đurić, U.,& Krušić, J.. (2018). Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia. in CE/papers, Special Issue: Proceedings of Eurosteel 2018, 2(2-3), 365-370.
https://doi.org/10.1002/cepa.698
Đurić U, Abolmasov B, Đurić U, Krušić J. Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia. in CE/papers, Special Issue: Proceedings of Eurosteel 2018. 2018;2(2-3):365-370.
doi:10.1002/cepa.698 .
Đurić, Uroš, Abolmasov, Biljana, Đurić, Uroš, Krušić, Jelka, "Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia" in CE/papers, Special Issue: Proceedings of Eurosteel 2018, 2, no. 2-3 (2018):365-370,
https://doi.org/10.1002/cepa.698 . .
1