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Spatio-Temporal Classification Framework for Mapping Woody Vegetation from Multi-Temporal Sentinel-2 Imagery
(MDPI, 2020)
The inventory of woody vegetation is of great importance for good forest management. Advancements of remote sensing techniques have provided excellent tools for such purposes, reducing the required amount of time and labor, ...
Spatio-temporal regression kriging model of mean daily temperature for Croatia
(Springer, 2019)
High resolution gridded mean daily temperature datasets are valuable for research and applications in agronomy, meteorology, hydrology, ecology, and many other disciplines depending on weather or climate. The gridded ...
Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach
(MDPI, 2021)
Soil erosion is a global problem that negatively affects the quality of the environment, the availability of natural resources, as well as the safety of inhabitants. Soil erosion threatens the functioning of urban areas, ...
A Later Onset of the Rainy Season in California
(American Geophysical Union, John Wiley & Sons, 2021)
Californian hydroclimate is strongly seasonal and prone to severe water shortages. Recent changes in climate trends have induced shifts in seasonality, thus exacerbating droughts, wildfires, and adverse water shortage ...
Transfer learning approach based on satellite image time series for the crop classification problem
(Springer, 2023)
This paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During ...
Validation and comparison of several global geopotential models with an official quasigeoid solution of Serbia
(Association of Surveyors of Slovenia, 2022)
This study aims to analyze the quality of several local reference
quasigeoid surfaces obtained from several Global Geopotential
Models (GGM) relative to the official quasigeoid solution
of Serbia (SQM2011) and GNSS/dh ...
Quantifying tall structure tilting trend through TLS-based 3D parametric modelling
(Elsevier, 2022)
Geodetic monitoring of a tall structure means employing various methods of measurement and data processing for assessing its verticality. Terrestrial laser scanning (TLS) is a method of collecting lots of quality spatial ...
Research in computing‑intensive simulations for nature‑oriented civil‑engineering and related scientific fields, using machine learning and big data: an overview of open problems
(Springer, 2023)
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of ...
Snow Cover Estimation Using Sentinel-2 High Spatial Resolution Data. A Case Study: National Park Šar Planina (Serbia)
(Springer, Cham, 2022)
Remote sensing, presented in the form of high-resolution satellite images, is essential in monitoring snow cover and the state of the environment. Due to the increase in the spatial resolution of the images, the Sentinel-2 ...
Modeling of vertical gravity gradient by normal gravity field and digital terrain models
(Journal of Geodesy, Springer, 2022)
Vertical gravity gradient, as a change of gravity with the change in height, is a significant physical quantity used in many geodetic and geophysical modeling applications. In this research, we used a normal gravity field ...