TY  - JOUR
AU  - Petrović, Dragan
AU  - Milinčić, Miroljub
AU  - Vukoičić, Danijela
AU  - Ristić, Dušan
AU  - Milinčić, Uroš
AU  - Potić, Ivan
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1176
AB  - Due to its unique geology, relief, and extensive hydrologic network, Mount Rogozna has been chosen as a case study for the quantification of geodiversity. The study consists of two interconnected parts. The first part demonstrates the application of the geodiversity evaluation method using the geodiversity index, whereas the second part deals with the evaluation of the geoheritage objects of the studied area. The methodology for calculating geodiversity index that was applied in this research was modified due to the size of the studied area. The geodiversity index is calculated based on the number of abiotic elements and the roughness of the relief within the studied area. Mount Rogozna, with an area of 818.26 km2, has been studied and processed using a network of spatial polygons of 500 × 500 m and using different maps. The second part of the research deals with the evaluation of geoheritage objects, applying the Geosite Assessment Model. The obtained results demonstrate that geoheritage objects are not always located in places with high values of the geodiversity index. This is proven by the fact that 5 out of 7 geoheritage sites are located in areas with low geodiversity values. The obtained qualitative and quantitative data with maps showing the distribution of geodiversity can serve as a starting point for the development of a planning and management strategy, but also as the example of good practice for possible further application in the quantification of geodiversity in this part of Serbia, and beyond its borders as well.
PB  - Baia Mare : North University of Baia Mare
T2  - Carpathian Journal of Earth and Environmental Sciences
T1  - Evaluation and valorization of geoheritage of the Mount Rogozna area
VL  - 18
IS  - 1
SP  - 213
EP  - 224
DO  - 10.26471/cjees/2023/018/252
ER  - 

@article{
author = "Petrović, Dragan and Milinčić, Miroljub and Vukoičić, Danijela and Ristić, Dušan and Milinčić, Uroš and Potić, Ivan",
year = "2023",
abstract = "Due to its unique geology, relief, and extensive hydrologic network, Mount Rogozna has been chosen as a case study for the quantification of geodiversity. The study consists of two interconnected parts. The first part demonstrates the application of the geodiversity evaluation method using the geodiversity index, whereas the second part deals with the evaluation of the geoheritage objects of the studied area. The methodology for calculating geodiversity index that was applied in this research was modified due to the size of the studied area. The geodiversity index is calculated based on the number of abiotic elements and the roughness of the relief within the studied area. Mount Rogozna, with an area of 818.26 km2, has been studied and processed using a network of spatial polygons of 500 × 500 m and using different maps. The second part of the research deals with the evaluation of geoheritage objects, applying the Geosite Assessment Model. The obtained results demonstrate that geoheritage objects are not always located in places with high values of the geodiversity index. This is proven by the fact that 5 out of 7 geoheritage sites are located in areas with low geodiversity values. The obtained qualitative and quantitative data with maps showing the distribution of geodiversity can serve as a starting point for the development of a planning and management strategy, but also as the example of good practice for possible further application in the quantification of geodiversity in this part of Serbia, and beyond its borders as well.",
publisher = "Baia Mare : North University of Baia Mare",
journal = "Carpathian Journal of Earth and Environmental Sciences",
title = "Evaluation and valorization of geoheritage of the Mount Rogozna area",
volume = "18",
number = "1",
pages = "213-224",
doi = "10.26471/cjees/2023/018/252"
}

Petrović, D., Milinčić, M., Vukoičić, D., Ristić, D., Milinčić, U.,& Potić, I.. (2023). Evaluation and valorization of geoheritage of the Mount Rogozna area. in Carpathian Journal of Earth and Environmental Sciences
Baia Mare : North University of Baia Mare., 18(1), 213-224.
https://doi.org/10.26471/cjees/2023/018/252

Petrović D, Milinčić M, Vukoičić D, Ristić D, Milinčić U, Potić I. Evaluation and valorization of geoheritage of the Mount Rogozna area. in Carpathian Journal of Earth and Environmental Sciences. 2023;18(1):213-224.
doi:10.26471/cjees/2023/018/252 .

Petrović, Dragan, Milinčić, Miroljub, Vukoičić, Danijela, Ristić, Dušan, Milinčić, Uroš, Potić, Ivan, "Evaluation and valorization of geoheritage of the Mount Rogozna area" in Carpathian Journal of Earth and Environmental Sciences, 18, no. 1 (2023):213-224,
https://doi.org/10.26471/cjees/2023/018/252 . .

TY  - JOUR
AU  - Potić, Ivan M.
AU  - Komazec, Nenad M.
AU  - Mihajlović, Ljiljana M.
AU  - Milić, Aleksandar M.
AU  - Bakrač, Saša T.
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1714
AB  - Introduction/purpose: Decades of dealing with unexploded ordnance (UXO) in some areas of the Republic of Serbia have confirmed that it presents a substantial hazard to the security of people, property, and the environment. Even though the terrain has been cleaned, various threats from difficult-tofind UXO components remain serious. Inadequate systemic solutions for UXO management can have significant harmful consequences. Methods: Based on the spatial distribution analysis and different UXO types and quantities, this article studies the effects of dangerous components of unexploded ordnance on human lives and the environment. Two different geospatial analyses were performed including the guidelines for risk management through risk elimination based on multiple criteria, the GIS, and the Remote Sensing analysis. Results: Two different geospatial analyses resulted in the areas at high risk of remaining UXO. Conclusion: The article significantly contributes to creating an environmental risk management strategy for UXO-contaminated regions. It presents an effective technique for addressing risk assessment challenges in such sites. The analysis considers both risk analysis and environmental protection options. Using the multi-criteria analysis and the GIS, it estimates the exposure of built structures, people, soil types, and plant species to UXO dangers in key locations. This paper serves as a guideline for environmental risk assessment.
PB  - Beograd : Univerzitet odbrane u Beogradu (Vojna akademija)
T2  - Vojnotehnički glasnik
T1  - Risk management of unexploded ordnance in the Republic of Serbia  for environmental protection - Borovac case study
VL  - 71
IS  - 4
SP  - 1087
EP  - 1114
DO  - 10.5937/vojtehg71-44656
ER  - 

@article{
author = "Potić, Ivan M. and Komazec, Nenad M. and Mihajlović, Ljiljana M. and Milić, Aleksandar M. and Bakrač, Saša T.",
year = "2023",
abstract = "Introduction/purpose: Decades of dealing with unexploded ordnance (UXO) in some areas of the Republic of Serbia have confirmed that it presents a substantial hazard to the security of people, property, and the environment. Even though the terrain has been cleaned, various threats from difficult-tofind UXO components remain serious. Inadequate systemic solutions for UXO management can have significant harmful consequences. Methods: Based on the spatial distribution analysis and different UXO types and quantities, this article studies the effects of dangerous components of unexploded ordnance on human lives and the environment. Two different geospatial analyses were performed including the guidelines for risk management through risk elimination based on multiple criteria, the GIS, and the Remote Sensing analysis. Results: Two different geospatial analyses resulted in the areas at high risk of remaining UXO. Conclusion: The article significantly contributes to creating an environmental risk management strategy for UXO-contaminated regions. It presents an effective technique for addressing risk assessment challenges in such sites. The analysis considers both risk analysis and environmental protection options. Using the multi-criteria analysis and the GIS, it estimates the exposure of built structures, people, soil types, and plant species to UXO dangers in key locations. This paper serves as a guideline for environmental risk assessment.",
publisher = "Beograd : Univerzitet odbrane u Beogradu (Vojna akademija)",
journal = "Vojnotehnički glasnik",
title = "Risk management of unexploded ordnance in the Republic of Serbia  for environmental protection - Borovac case study",
volume = "71",
number = "4",
pages = "1087-1114",
doi = "10.5937/vojtehg71-44656"
}

Potić, I. M., Komazec, N. M., Mihajlović, L. M., Milić, A. M.,& Bakrač, S. T.. (2023). Risk management of unexploded ordnance in the Republic of Serbia  for environmental protection - Borovac case study. in Vojnotehnički glasnik
Beograd : Univerzitet odbrane u Beogradu (Vojna akademija)., 71(4), 1087-1114.
https://doi.org/10.5937/vojtehg71-44656

Potić IM, Komazec NM, Mihajlović LM, Milić AM, Bakrač ST. Risk management of unexploded ordnance in the Republic of Serbia  for environmental protection - Borovac case study. in Vojnotehnički glasnik. 2023;71(4):1087-1114.
doi:10.5937/vojtehg71-44656 .

Potić, Ivan M., Komazec, Nenad M., Mihajlović, Ljiljana M., Milić, Aleksandar M., Bakrač, Saša T., "Risk management of unexploded ordnance in the Republic of Serbia  for environmental protection - Borovac case study" in Vojnotehnički glasnik, 71, no. 4 (2023):1087-1114,
https://doi.org/10.5937/vojtehg71-44656 . .

TY  - JOUR
AU  - Potić, Ivan
AU  - Srdić, Zoran
AU  - Vakanjac, Boris
AU  - Bakrač, Saša
AU  - Đorđević, Dejan
AU  - Banković, Radoje
AU  - Jovanović, Jasmina M.
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1719
AB  - Vegetation plays an active role in ecosystem dynamics, and monitoring its patterns and changes is vital for effective environmental resource management. This study explores the possibility of machine learning techniques and remote sensing data to improve the accuracy of forest detection. The research focuses on the southeastern part of the Republic of Serbia as a case study area, using Sentinel-2 multispectral bands. The study employs publicly accessible satellite data and incorporates different vegetation indices to improve classification accuracy. The main objective is to examine the practicability of expanding the input parameters for forest detection using a machine learning approach. The classification process is performed by employing support vector machines (SVM) algorithm and utilising the SVM module in the scikit-learn package. The results demonstrate that including vegetation indices alongside the multispectral bands significantly improves the accuracy of vegetation detection. A comprehensive assessment reveals an overall classification accuracy of up to 99.01% when the selected vegetation indices (MCARI, RENDVI, NDI45, GNDVI, NDII) are combined with the Sentinel-2 bands. This research highlights the potential of machine learning and remote sensing in forest detection and monitoring. The findings underscore the importance of incorporating vegetation indices to enhance classification accuracy using the Python programming language. The study’s outcomes provide valuable insights for environmental resource management and decision-making processes, particularly in regions with diverse forest ecosystems.
PB  - Basel : MDPI
T2  - Applied Sciences
T1  - Improving Forest Detection Using Machine Learning and Remote Sensing: A Case Study in Southeastern Serbia
VL  - 13
IS  - 14
SP  - 8289
DO  - 10.3390/app13148289
ER  - 

@article{
author = "Potić, Ivan and Srdić, Zoran and Vakanjac, Boris and Bakrač, Saša and Đorđević, Dejan and Banković, Radoje and Jovanović, Jasmina M.",
year = "2023",
abstract = "Vegetation plays an active role in ecosystem dynamics, and monitoring its patterns and changes is vital for effective environmental resource management. This study explores the possibility of machine learning techniques and remote sensing data to improve the accuracy of forest detection. The research focuses on the southeastern part of the Republic of Serbia as a case study area, using Sentinel-2 multispectral bands. The study employs publicly accessible satellite data and incorporates different vegetation indices to improve classification accuracy. The main objective is to examine the practicability of expanding the input parameters for forest detection using a machine learning approach. The classification process is performed by employing support vector machines (SVM) algorithm and utilising the SVM module in the scikit-learn package. The results demonstrate that including vegetation indices alongside the multispectral bands significantly improves the accuracy of vegetation detection. A comprehensive assessment reveals an overall classification accuracy of up to 99.01% when the selected vegetation indices (MCARI, RENDVI, NDI45, GNDVI, NDII) are combined with the Sentinel-2 bands. This research highlights the potential of machine learning and remote sensing in forest detection and monitoring. The findings underscore the importance of incorporating vegetation indices to enhance classification accuracy using the Python programming language. The study’s outcomes provide valuable insights for environmental resource management and decision-making processes, particularly in regions with diverse forest ecosystems.",
publisher = "Basel : MDPI",
journal = "Applied Sciences",
title = "Improving Forest Detection Using Machine Learning and Remote Sensing: A Case Study in Southeastern Serbia",
volume = "13",
number = "14",
pages = "8289",
doi = "10.3390/app13148289"
}

Potić, I., Srdić, Z., Vakanjac, B., Bakrač, S., Đorđević, D., Banković, R.,& Jovanović, J. M.. (2023). Improving Forest Detection Using Machine Learning and Remote Sensing: A Case Study in Southeastern Serbia. in Applied Sciences
Basel : MDPI., 13(14), 8289.
https://doi.org/10.3390/app13148289

Potić I, Srdić Z, Vakanjac B, Bakrač S, Đorđević D, Banković R, Jovanović JM. Improving Forest Detection Using Machine Learning and Remote Sensing: A Case Study in Southeastern Serbia. in Applied Sciences. 2023;13(14):8289.
doi:10.3390/app13148289 .

Potić, Ivan, Srdić, Zoran, Vakanjac, Boris, Bakrač, Saša, Đorđević, Dejan, Banković, Radoje, Jovanović, Jasmina M., "Improving Forest Detection Using Machine Learning and Remote Sensing: A Case Study in Southeastern Serbia" in Applied Sciences, 13, no. 14 (2023):8289,
https://doi.org/10.3390/app13148289 . .

TY  - CONF
AU  - Потић, Иван
AU  - Вакањац, Борис
AU  - Михајловић, Љиљана
AU  - Станковић, Саша Мир.
AU  - Петровић, Стефан
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1715
AB  - Овај научни рад истражује примену система даљинске детекције у производњи и анализи геопросторних података, са фокусом на Дигиталне моделе геопростора (ДМГ) у које спадају дигитални модели терена и меш модели (модели виртуелне реалности) и његову улогу у функцији дигиталног близанца. Уводни део пружа преглед технологије и њене основне примене у снимању. Затим се разматрају производи који настају из облака тачака, са фокусом на њихове карактеристике, предности и могућности. На крају, описују се различите примене ДМГ-а у геопросторној анализи, као и њихов значај у областима, као што су грађевинарство, урбанистичко планирање, природне науке, систем одбране и виртуелна реалност. Овај рад представља значајан прилог за боље разумевање и примену технологије даљинске детекције у савременом геопросторном окружењу.
PB  - Београд : Медија центар "Одбрана"
PB  - Министарство одбране Републике Србије
C3  - Зборник радова 50. Симпозијума о операционим истраживањима - SYM-OP-IS 2023, Тара
T1  - Примена система даљинске детекције у моделовању геопросторних података – од дигиталних модела терена до модела виртуелне реалности и дигиталних близанаца
T1  - Remote sensing application for geospatial data modelling – from digital terrain models to virtual reality models and digital twins
SP  - 161
EP  - 166
UR  - https://hdl.handle.net/21.15107/rcub_gery_1715
ER  - 

@conference{
author = "Потић, Иван and Вакањац, Борис and Михајловић, Љиљана and Станковић, Саша Мир. and Петровић, Стефан",
year = "2023",
abstract = "Овај научни рад истражује примену система даљинске детекције у производњи и анализи геопросторних података, са фокусом на Дигиталне моделе геопростора (ДМГ) у које спадају дигитални модели терена и меш модели (модели виртуелне реалности) и његову улогу у функцији дигиталног близанца. Уводни део пружа преглед технологије и њене основне примене у снимању. Затим се разматрају производи који настају из облака тачака, са фокусом на њихове карактеристике, предности и могућности. На крају, описују се различите примене ДМГ-а у геопросторној анализи, као и њихов значај у областима, као што су грађевинарство, урбанистичко планирање, природне науке, систем одбране и виртуелна реалност. Овај рад представља значајан прилог за боље разумевање и примену технологије даљинске детекције у савременом геопросторном окружењу.",
publisher = "Београд : Медија центар "Одбрана", Министарство одбране Републике Србије",
journal = "Зборник радова 50. Симпозијума о операционим истраживањима - SYM-OP-IS 2023, Тара",
title = "Примена система даљинске детекције у моделовању геопросторних података – од дигиталних модела терена до модела виртуелне реалности и дигиталних близанаца, Remote sensing application for geospatial data modelling – from digital terrain models to virtual reality models and digital twins",
pages = "161-166",
url = "https://hdl.handle.net/21.15107/rcub_gery_1715"
}

Потић, И., Вакањац, Б., Михајловић, Љ., Станковић, С. Мир.,& Петровић, С.. (2023). Примена система даљинске детекције у моделовању геопросторних података – од дигиталних модела терена до модела виртуелне реалности и дигиталних близанаца. in Зборник радова 50. Симпозијума о операционим истраживањима - SYM-OP-IS 2023, Тара
Београд : Медија центар "Одбрана"., 161-166.
https://hdl.handle.net/21.15107/rcub_gery_1715

Потић И, Вакањац Б, Михајловић Љ, Станковић СМ, Петровић С. Примена система даљинске детекције у моделовању геопросторних података – од дигиталних модела терена до модела виртуелне реалности и дигиталних близанаца. in Зборник радова 50. Симпозијума о операционим истраживањима - SYM-OP-IS 2023, Тара. 2023;:161-166.
https://hdl.handle.net/21.15107/rcub_gery_1715 .

Потић, Иван, Вакањац, Борис, Михајловић, Љиљана, Станковић, Саша Мир., Петровић, Стефан, "Примена система даљинске детекције у моделовању геопросторних података – од дигиталних модела терена до модела виртуелне реалности и дигиталних близанаца" in Зборник радова 50. Симпозијума о операционим истраживањима - SYM-OP-IS 2023, Тара (2023):161-166,
https://hdl.handle.net/21.15107/rcub_gery_1715 .

TY  - CONF
AU  - Potić, Ivan
AU  - Mihajlović, Ljiljana
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1458
AB  - U radu je detaljno analizirano kraško polje u istočnoj Srbiji sa ciljem vrednovanja terena za potrebe turizma, rekreacije i izgradnje infrastrukturnih objekata. Primena GIS-a u geoekološkom vrednovanju reljefa Odorovskog polja omogućava efikasno prikupljanje i organizovanje prostornih podataka, čijim se kombinovanjem i analizom identifikuju područja sa posebnim geološkim karakteristikama, kao i potencijalne lokacije za turističke objekte i infrastrukturu. Takođe, omogućava donošenje relevantnih odluka o razvoju turističkih destinacija i efikasno planiranje izgradnje objekata u skladu sa geološkim karakteristikama i zahtevima očuvanja prirode. Pored toga, može se koristiti i za identifikaciju i analizu rizika koji mogu uticati na turističke aktivnosti i izgradnju objekata. Kroz integraciju prostornih podataka i analitičkih alata, GIS pruža informacije potrebne za precizne odluke i održivo planiranje, što rezultira unapređenju upravljanja i optimalnim korišćenjem potencijala ovog područja u turističke i druge svrhe.
PB  - Beograd : Asocijacija prostornih planera Srbije
PB  - Beograd : Univerzitet u Beogradu - Geografski fakultet
C3  - Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar
T1  - Geoekološko vrednovanje reljefa Odorovskog polja primenom GIS-a
SP  - 285
EP  - 292
UR  - https://hdl.handle.net/21.15107/rcub_gery_1458
ER  - 

@conference{
author = "Potić, Ivan and Mihajlović, Ljiljana",
year = "2023",
abstract = "U radu je detaljno analizirano kraško polje u istočnoj Srbiji sa ciljem vrednovanja terena za potrebe turizma, rekreacije i izgradnje infrastrukturnih objekata. Primena GIS-a u geoekološkom vrednovanju reljefa Odorovskog polja omogućava efikasno prikupljanje i organizovanje prostornih podataka, čijim se kombinovanjem i analizom identifikuju područja sa posebnim geološkim karakteristikama, kao i potencijalne lokacije za turističke objekte i infrastrukturu. Takođe, omogućava donošenje relevantnih odluka o razvoju turističkih destinacija i efikasno planiranje izgradnje objekata u skladu sa geološkim karakteristikama i zahtevima očuvanja prirode. Pored toga, može se koristiti i za identifikaciju i analizu rizika koji mogu uticati na turističke aktivnosti i izgradnju objekata. Kroz integraciju prostornih podataka i analitičkih alata, GIS pruža informacije potrebne za precizne odluke i održivo planiranje, što rezultira unapređenju upravljanja i optimalnim korišćenjem potencijala ovog područja u turističke i druge svrhe.",
publisher = "Beograd : Asocijacija prostornih planera Srbije, Beograd : Univerzitet u Beogradu - Geografski fakultet",
journal = "Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar",
title = "Geoekološko vrednovanje reljefa Odorovskog polja primenom GIS-a",
pages = "285-292",
url = "https://hdl.handle.net/21.15107/rcub_gery_1458"
}

Potić, I.,& Mihajlović, L.. (2023). Geoekološko vrednovanje reljefa Odorovskog polja primenom GIS-a. in Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar
Beograd : Asocijacija prostornih planera Srbije., 285-292.
https://hdl.handle.net/21.15107/rcub_gery_1458

Potić I, Mihajlović L. Geoekološko vrednovanje reljefa Odorovskog polja primenom GIS-a. in Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar. 2023;:285-292.
https://hdl.handle.net/21.15107/rcub_gery_1458 .

Potić, Ivan, Mihajlović, Ljiljana, "Geoekološko vrednovanje reljefa Odorovskog polja primenom GIS-a" in Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar (2023):285-292,
https://hdl.handle.net/21.15107/rcub_gery_1458 .

TY  - JOUR
AU  - Potić, Ivan
AU  - Mihajlović, Ljiljana M.
AU  - Šimunić, Vanja
AU  - Ćurčić, Nina B.
AU  - Milinčić, Miroljub
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1208
AB  - In the past two decades, the South part of Serbia has been affected by exploitive and illegal logging. As this trend is not decreasing to this day, there is a need to determine the area where this logging occurred precisely. The consequences of these actions are tremendous, causing the forest owners’ financial loss (regardless of whether it is private or state property) and a negative impact on the environment. Significant environmental and forest management problems deriving from these actions are erosion increase and more frequent torrential floods occurrence in the catchment. Since it is difficult to update the national forest inventories in remote areas, remote sensing techniques using different satellite imagery types can provide up-to-date data. The initial analysis that employed Normalized Difference Vegetation Index (created using Landsat 7 and Landsat 8 imagery) indicates massive deforestation in the research area between 1999 and 2021. Headwaters of the Štavska river catchment is selected as the research area to determine the amount of erosion in two periods—before and after deforestation occurred. Change in land cover (LC) is presented with two LC maps created applying supervised classification to Landsat 7 imagery from 1999 as a pre-deforestation LC state and Landsat 8 imagery acquired in 2021 as the current LC state. The erosion in the catchment for both periods is determined using the Soil and Water Assessment Tool (SWAT). The analysis results show the erosion change incurred as a deforestation effect in the river catchment. With the data obtained by remote sensing and SWAT analysis, it is possible to track changes in the area and acquire essential data, making the right and fast decisions to protect the natural resources economy and make sustainable development possible in this impoverished region.
PB  - Frontiers Media SA
T2  - Frontiers in Environmental Science
T1  - Deforestation as a Cause of IncreasedSurface Runoff in the Catchment:Remote Sensing and SWAT Approach—A Case Study of Southern Serbia
VL  - 10
SP  - 896404
DO  - 10.3389/fenvs.2022.896404
ER  - 

@article{
author = "Potić, Ivan and Mihajlović, Ljiljana M. and Šimunić, Vanja and Ćurčić, Nina B. and Milinčić, Miroljub",
year = "2022",
abstract = "In the past two decades, the South part of Serbia has been affected by exploitive and illegal logging. As this trend is not decreasing to this day, there is a need to determine the area where this logging occurred precisely. The consequences of these actions are tremendous, causing the forest owners’ financial loss (regardless of whether it is private or state property) and a negative impact on the environment. Significant environmental and forest management problems deriving from these actions are erosion increase and more frequent torrential floods occurrence in the catchment. Since it is difficult to update the national forest inventories in remote areas, remote sensing techniques using different satellite imagery types can provide up-to-date data. The initial analysis that employed Normalized Difference Vegetation Index (created using Landsat 7 and Landsat 8 imagery) indicates massive deforestation in the research area between 1999 and 2021. Headwaters of the Štavska river catchment is selected as the research area to determine the amount of erosion in two periods—before and after deforestation occurred. Change in land cover (LC) is presented with two LC maps created applying supervised classification to Landsat 7 imagery from 1999 as a pre-deforestation LC state and Landsat 8 imagery acquired in 2021 as the current LC state. The erosion in the catchment for both periods is determined using the Soil and Water Assessment Tool (SWAT). The analysis results show the erosion change incurred as a deforestation effect in the river catchment. With the data obtained by remote sensing and SWAT analysis, it is possible to track changes in the area and acquire essential data, making the right and fast decisions to protect the natural resources economy and make sustainable development possible in this impoverished region.",
publisher = "Frontiers Media SA",
journal = "Frontiers in Environmental Science",
title = "Deforestation as a Cause of IncreasedSurface Runoff in the Catchment:Remote Sensing and SWAT Approach—A Case Study of Southern Serbia",
volume = "10",
pages = "896404",
doi = "10.3389/fenvs.2022.896404"
}

Potić, I., Mihajlović, L. M., Šimunić, V., Ćurčić, N. B.,& Milinčić, M.. (2022). Deforestation as a Cause of IncreasedSurface Runoff in the Catchment:Remote Sensing and SWAT Approach—A Case Study of Southern Serbia. in Frontiers in Environmental Science
Frontiers Media SA., 10, 896404.
https://doi.org/10.3389/fenvs.2022.896404

Potić I, Mihajlović LM, Šimunić V, Ćurčić NB, Milinčić M. Deforestation as a Cause of IncreasedSurface Runoff in the Catchment:Remote Sensing and SWAT Approach—A Case Study of Southern Serbia. in Frontiers in Environmental Science. 2022;10:896404.
doi:10.3389/fenvs.2022.896404 .

Potić, Ivan, Mihajlović, Ljiljana M., Šimunić, Vanja, Ćurčić, Nina B., Milinčić, Miroljub, "Deforestation as a Cause of IncreasedSurface Runoff in the Catchment:Remote Sensing and SWAT Approach—A Case Study of Southern Serbia" in Frontiers in Environmental Science, 10 (2022):896404,
https://doi.org/10.3389/fenvs.2022.896404 . .

TY  - CONF
AU  - Mihajlović, Ljiljana
AU  - Potić, Ivan
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1591
AB  - Specifičnost veza između čoveka (kao prirodno-društvenog bića) i njegove životne  sredine, u kontekstu socioekološkog blagostanja, svakako jeste u žiži ekološko političkih tema.  Postojanje, stvaranje i umnožavanje ekoloških problema u Srbiji, nužno uslovljava učešće javnosti u razrešavanju (sprečavanju) istih. U radu je dat osvrt na pristup javnosti (eko)informacijama, poštovanju međunarodnih propisa, primeni Zakona o zaštiti životne sredine, kao i  ustaljivanju termina „ekoterorizam“ u naučno-stručnoj literaturi, kao i u svakodnevnom govoru  u neterminološkoj upotrebi (što ukazuje na njegovo postojanje).
PB  - Beograd : Asocijacija prostornih planera Srbije
PB  - Beograd : Univerzitet u Beogradu - Geografski fakultet
C3  - Zbornik radova Jedanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Vršac
T1  - Učešće javnosti u ekopolitici Srbije – socioekološki aspekt
SP  - 313
EP  - 319
UR  - https://hdl.handle.net/21.15107/rcub_gery_1591
ER  - 

@conference{
author = "Mihajlović, Ljiljana and Potić, Ivan",
year = "2021",
abstract = "Specifičnost veza između čoveka (kao prirodno-društvenog bića) i njegove životne  sredine, u kontekstu socioekološkog blagostanja, svakako jeste u žiži ekološko političkih tema.  Postojanje, stvaranje i umnožavanje ekoloških problema u Srbiji, nužno uslovljava učešće javnosti u razrešavanju (sprečavanju) istih. U radu je dat osvrt na pristup javnosti (eko)informacijama, poštovanju međunarodnih propisa, primeni Zakona o zaštiti životne sredine, kao i  ustaljivanju termina „ekoterorizam“ u naučno-stručnoj literaturi, kao i u svakodnevnom govoru  u neterminološkoj upotrebi (što ukazuje na njegovo postojanje).",
publisher = "Beograd : Asocijacija prostornih planera Srbije, Beograd : Univerzitet u Beogradu - Geografski fakultet",
journal = "Zbornik radova Jedanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Vršac",
title = "Učešće javnosti u ekopolitici Srbije – socioekološki aspekt",
pages = "313-319",
url = "https://hdl.handle.net/21.15107/rcub_gery_1591"
}

Mihajlović, L.,& Potić, I.. (2021). Učešće javnosti u ekopolitici Srbije – socioekološki aspekt. in Zbornik radova Jedanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Vršac
Beograd : Asocijacija prostornih planera Srbije., 313-319.
https://hdl.handle.net/21.15107/rcub_gery_1591

Mihajlović L, Potić I. Učešće javnosti u ekopolitici Srbije – socioekološki aspekt. in Zbornik radova Jedanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Vršac. 2021;:313-319.
https://hdl.handle.net/21.15107/rcub_gery_1591 .

Mihajlović, Ljiljana, Potić, Ivan, "Učešće javnosti u ekopolitici Srbije – socioekološki aspekt" in Zbornik radova Jedanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Vršac (2021):313-319,
https://hdl.handle.net/21.15107/rcub_gery_1591 .

TY  - JOUR
AU  - Potić, Ivan
AU  - Joksimović, Tatjana
AU  - Milinčić, Uroš
AU  - Kićović, Dušan
AU  - Milinčić, Miroljub
PY  - 2021
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1076
AB  - Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available to identify the most suitable location for the installation of wind power generators. One of the most suitable approaches that employ the Multi-Criteria Analysis method for wind energy potential of the Municipality of Knjazevac (East Serbia) is combining the Analytic Hierarchy Process (AHP) and Geographic Information Systems. Collection and creation of geospatial data for the research encompassed meteorological data from all available sources, digital elevation model (DEM) to analyze the orography of the terrain, and Landsat 8 satellite data to analyze six land cover (LC) classes. The identification of three best locations for the wind power generators (wind farms) using Multi-Criteria Decision Making (MCDM) analysis solved the major location problem: how to select the best locations for investment in the renewable energy sector and minimize the impact on the environment. The result indicates that only one part of the municipality, at the hub height of 100 m, has enough wind potential to produce energy.
PB  - Elsevier, Amsterdam
T2  - Energy Strategy Reviews
T1  - Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)
VL  - 33
DO  - 10.1016/j.esr.2020.100589
UR  - https://hdl.handle.net/21.15107/rcub_gery_1076
ER  - 

@article{
author = "Potić, Ivan and Joksimović, Tatjana and Milinčić, Uroš and Kićović, Dušan and Milinčić, Miroljub",
year = "2021",
abstract = "Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available to identify the most suitable location for the installation of wind power generators. One of the most suitable approaches that employ the Multi-Criteria Analysis method for wind energy potential of the Municipality of Knjazevac (East Serbia) is combining the Analytic Hierarchy Process (AHP) and Geographic Information Systems. Collection and creation of geospatial data for the research encompassed meteorological data from all available sources, digital elevation model (DEM) to analyze the orography of the terrain, and Landsat 8 satellite data to analyze six land cover (LC) classes. The identification of three best locations for the wind power generators (wind farms) using Multi-Criteria Decision Making (MCDM) analysis solved the major location problem: how to select the best locations for investment in the renewable energy sector and minimize the impact on the environment. The result indicates that only one part of the municipality, at the hub height of 100 m, has enough wind potential to produce energy.",
publisher = "Elsevier, Amsterdam",
journal = "Energy Strategy Reviews",
title = "Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)",
volume = "33",
doi = "10.1016/j.esr.2020.100589",
url = "https://hdl.handle.net/21.15107/rcub_gery_1076"
}

Potić, I., Joksimović, T., Milinčić, U., Kićović, D.,& Milinčić, M.. (2021). Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia). in Energy Strategy Reviews
Elsevier, Amsterdam., 33.
https://doi.org/10.1016/j.esr.2020.100589
https://hdl.handle.net/21.15107/rcub_gery_1076

Potić I, Joksimović T, Milinčić U, Kićović D, Milinčić M. Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia). in Energy Strategy Reviews. 2021;33.
doi:10.1016/j.esr.2020.100589
https://hdl.handle.net/21.15107/rcub_gery_1076 .

Potić, Ivan, Joksimović, Tatjana, Milinčić, Uroš, Kićović, Dušan, Milinčić, Miroljub, "Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)" in Energy Strategy Reviews, 33 (2021),
https://doi.org/10.1016/j.esr.2020.100589 .,
https://hdl.handle.net/21.15107/rcub_gery_1076 .

TY  - JOUR
AU  - Potić, Ivan
AU  - Golić, Rajko
AU  - Joksimović, Tatjana
PY  - 2016
UR  - https://gery.gef.bg.ac.rs/handle/123456789/775
AB  - The subject of this paper is to identify the most suitable location for the installation of solar panel power plant in the Municipality of Knjaevac (East Serbia). Digital elevation model (DEM) of the area of interest was constructed using Geomedia Pro Grid module. The potential insolation of municipality was determined using the obtained DEM for the summer and winter solstice which represents longest and shortest day in a year (June 21st and December 21st, 2015), which allowed calculating the mean annual potential insolation. Six classes of land use were identified using multispectral analysis of Landsat 8 satellite images. Three best locations for the solar panel installation were identified by multi-criteria AHP analysis using mean potential insolation, mean cloudiness for corresponding months, mean temperature, grade and aspect, land use classes and simplicity of availability of the locations. The obtained data indicate that the use of solar radiation in KnjaMvac municipality is economically feasible as a supplementary source of energy.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Renewable & Sustainable Energy Reviews
T1  - Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach
VL  - 56
SP  - 235
EP  - 245
DO  - 10.1016/j.rser.2015.11.056
UR  - https://hdl.handle.net/21.15107/rcub_gery_775
ER  - 

@article{
author = "Potić, Ivan and Golić, Rajko and Joksimović, Tatjana",
year = "2016",
abstract = "The subject of this paper is to identify the most suitable location for the installation of solar panel power plant in the Municipality of Knjaevac (East Serbia). Digital elevation model (DEM) of the area of interest was constructed using Geomedia Pro Grid module. The potential insolation of municipality was determined using the obtained DEM for the summer and winter solstice which represents longest and shortest day in a year (June 21st and December 21st, 2015), which allowed calculating the mean annual potential insolation. Six classes of land use were identified using multispectral analysis of Landsat 8 satellite images. Three best locations for the solar panel installation were identified by multi-criteria AHP analysis using mean potential insolation, mean cloudiness for corresponding months, mean temperature, grade and aspect, land use classes and simplicity of availability of the locations. The obtained data indicate that the use of solar radiation in KnjaMvac municipality is economically feasible as a supplementary source of energy.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Renewable & Sustainable Energy Reviews",
title = "Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach",
volume = "56",
pages = "235-245",
doi = "10.1016/j.rser.2015.11.056",
url = "https://hdl.handle.net/21.15107/rcub_gery_775"
}

Potić, I., Golić, R.,& Joksimović, T.. (2016). Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach. in Renewable & Sustainable Energy Reviews
Pergamon-Elsevier Science Ltd, Oxford., 56, 235-245.
https://doi.org/10.1016/j.rser.2015.11.056
https://hdl.handle.net/21.15107/rcub_gery_775

Potić I, Golić R, Joksimović T. Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach. in Renewable & Sustainable Energy Reviews. 2016;56:235-245.
doi:10.1016/j.rser.2015.11.056
https://hdl.handle.net/21.15107/rcub_gery_775 .

Potić, Ivan, Golić, Rajko, Joksimović, Tatjana, "Analysis of insolation potential of KnjaIevac Municipality (Serbia) using multi-criteria approach" in Renewable & Sustainable Energy Reviews, 56 (2016):235-245,
https://doi.org/10.1016/j.rser.2015.11.056 .,
https://hdl.handle.net/21.15107/rcub_gery_775 .

TY  - JOUR
AU  - Potić, Ivan
AU  - Joksimović, Marko
AU  - Golić, Rajko
PY  - 2015
UR  - https://gery.gef.bg.ac.rs/handle/123456789/717
PB  - Beograd : Srpsko geografsko društvo
T2  - Glasnik Srpskog geografskog društva
T1  - Changes in vegetation cover on Stara planina: Towards sustainable management of ski resorts in sensitive areas
VL  - 95
IS  - 2
SP  - 25
EP  - 40
DO  - 10.2298/GSGD1502025P
UR  - https://hdl.handle.net/21.15107/rcub_gery_717
ER  - 

@article{
author = "Potić, Ivan and Joksimović, Marko and Golić, Rajko",
year = "2015",
publisher = "Beograd : Srpsko geografsko društvo",
journal = "Glasnik Srpskog geografskog društva",
title = "Changes in vegetation cover on Stara planina: Towards sustainable management of ski resorts in sensitive areas",
volume = "95",
number = "2",
pages = "25-40",
doi = "10.2298/GSGD1502025P",
url = "https://hdl.handle.net/21.15107/rcub_gery_717"
}

Potić, I., Joksimović, M.,& Golić, R.. (2015). Changes in vegetation cover on Stara planina: Towards sustainable management of ski resorts in sensitive areas. in Glasnik Srpskog geografskog društva
Beograd : Srpsko geografsko društvo., 95(2), 25-40.
https://doi.org/10.2298/GSGD1502025P
https://hdl.handle.net/21.15107/rcub_gery_717

Potić I, Joksimović M, Golić R. Changes in vegetation cover on Stara planina: Towards sustainable management of ski resorts in sensitive areas. in Glasnik Srpskog geografskog društva. 2015;95(2):25-40.
doi:10.2298/GSGD1502025P
https://hdl.handle.net/21.15107/rcub_gery_717 .

Potić, Ivan, Joksimović, Marko, Golić, Rajko, "Changes in vegetation cover on Stara planina: Towards sustainable management of ski resorts in sensitive areas" in Glasnik Srpskog geografskog društva, 95, no. 2 (2015):25-40,
https://doi.org/10.2298/GSGD1502025P .,
https://hdl.handle.net/21.15107/rcub_gery_717 .