Уноси

• Application of Geographic Information System in modeling of natural catastrophe (2021)

  G. Jakovljević, F. Álvarez-Taboada, M. Govedarica, Application of Geographic Information System in modeling of natural catastrophe, Faculty of Information Technology and Engineering University “Union-Nikola Tesla”, 2021

• Accuracy Assessment of Deep Learning Based Classification of LiDAR and UAV Points Clouds for DTM Creation and Flood Risk Mapping (2019)

  G. Jakovljević, M. Govedarica, F. Álvarez-Taboada, V. Pajić, Accuracy Assessment of Deep Learning Based Classification of LiDAR and UAV Points Clouds for DTM Creation and Flood Risk Mapping, Geoscience, Vol. 9, No. 7, pp. 323 - 344, 2019

• Spatio – temporal types of data in Big data paradigm (2016-06)

  Mladen Amović, Vladimir Pajić, Miro Govedarica, Slavko Vasiljević, Spatio – temporal types of data in Big data paradigm, Proceedings of the 11th International Forum on Knowledge Asset Dynamics - IFKAD 2016, pp. 466 - 479, Jun, 2016

• Climate Change Adaptation in Eastern Europe: "Managing risks and building resilience to climate change" (2020)

  G. Jakovljević, М. Говедарица, Climate Change Adaptation in Eastern Europe: "Managing risks and building resilience to climate change", Springer International Publishing, 2020

• ПРОСТОРНО - ВРЕМЕНСКИ ТИПОВИ И АНАЛИЗЕ ПОДАТАКА У BIG DATA ПАРАДИГМИ (2015-09)

  Младен Амовић, Миро Говедарица, Владимир Пајић, Славко Васиљевић, ПРОСТОРНО - ВРЕМЕНСКИ ТИПОВИ И АНАЛИЗЕ ПОДАТАКА У BIG DATA ПАРАДИГМИ, AГГ+ часопис за архитектуру, грађевинарство, геодезију и сродне научне области, Vol. 03, No. 1, pp. 68 - 77, Sep, 2015

• M. Model of Point Cloud Data Management System in Big Data Paradigm (2018)

  В. Пајић, М. Говедарица, M. Amović, M. Model of Point Cloud Data Management System in Big Data Paradigm, ISPRS International Journal of Geo-Information, Vol. 7, No. 7, pp. 1 - 15, 2018

• Water body mapping: a comparison of remotely sensed and GIS open data sources (2018-05)

  G. Jakovljević, М. Говедарица, F. Álvarez-Taboada, Water body mapping: a comparison of remotely sensed and GIS open data sources, INTERNATIONAL JOURNAL OF REMOTE SENSING, pp. 2936 - 2964, May, 2018

• A Deep Learning Model for Automatic Plastic Mapping Using Unmanned Aerial Vehicle (UAV) Data (2020-05)

  G. Jakovljević, М. Говедарица, F. Álvarez-Taboada, A Deep Learning Model for Automatic Plastic Mapping Using Unmanned Aerial Vehicle (UAV) Data, Remote Sensing, Vol. 12, No. 9, pp. 1 - 21, May, 2020

• Automatic building footprint extraction from UAV images using residual neural networks (2020-06)

  Z. Kokeza, М. Вујасиновић, М. Говедарица, Б. Милојевић, G. Jakovljević, Automatic building footprint extraction from UAV images using residual neural networks, Geodetski vestnik, Vol. 64, No. 4, pp. 545 - 561, Jun, 2020

• Big Data in Smart City: Management Challenges (2021-11)

  M. Amović, М. Говедарица, A. Радуловић, И. Јанковић, Big Data in Smart City: Management Challenges, Applied Sciences, Vol. 11, No. 10, pp. 1 - 27, Nov, 2021

• ПРИМЈЕНА LIDAR ПОДАТАКА У ИЗРАДИ МОДЕЛА ПРОСТОРА (2016-12)

  M. Aмовић, М. Говедарица, В. Пајић, ПРИМЈЕНА LIDAR ПОДАТАКА У ИЗРАДИ МОДЕЛА ПРОСТОРА, pp. 353 - 361, Dec, 2016

• The Role of Geospatial Technology in the EU Water Frame Directive Implementation (2018-05)

  G. Jakovljević, М. Говедарица, Д. Јовановић, The Role of Geospatial Technology in the EU Water Frame Directive Implementation, Proceedings, May, 2018

• Land use/land cover mapping from Sentinel 2 data using machine learning algrithms (2018-05)

  G. Jakovljević, Д. Секуловић, М. Говедарица, Land use/land cover mapping from Sentinel 2 data using machine learning algrithms, Conference proceedings, May, 2018

• Flood risk assessment based on LiDAR and UAV points clouds and DEM (2018-09)

  М. Говедарица, G. Jakovljević, F. Álvarez-Taboada, Flood risk assessment based on LiDAR and UAV points clouds and DEM, Proceedings Volume 10783, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX; 107830, Sep, 2018

• Assessment of biological and physic chemical water quality parameters using Landsat 8 time series (2018-10)

  G. Jakovljević, М. Говедарица, F. Álvarez-Taboada, Assessment of biological and physic chemical water quality parameters using Landsat 8 time series, Proceedings Volume 10783, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX; 107831F, Oct, 2018

• Monitoring spatial and temporal variation of water quality parameters using time series of open multispectral data (2019-03)

  М. Говедарица, G. Jakovljević, Monitoring spatial and temporal variation of water quality parameters using time series of open multispectral data, Proc. SPIE 11174, Mar, 2019

• Mapping the plastic debris pollution of water bodies (2019-04)

  G. Jakovljević, М. Говедарица, Mapping the plastic debris pollution of water bodies, Conference proceedings, Apr, 2019

• Remote Sensing Data in Mapping Plastics at Surface Water Bodies (2019-04)

  G. Jakovljević, М. Говедарица, F. Álvarez-Taboada, Remote Sensing Data in Mapping Plastics at Surface Water Bodies, Conference proceedings, Apr, 2019