TY  - JOUR
AU  - Nikolić, Gojko
AU  - Vujović, Filip
AU  - Golijanin, Jelena
AU  - Šiljeg, Ante
AU  - Valjarević, Aleksandar
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1721
AB  - Montenegro has different influences on the weather and climate; in general, according to Köppen’s classification, there are two climate zones: warm temperate (C) and cold temperate (D). The aim of this study is to determine the susceptibility to wildfires in the Montenegrin coastal municipality of Budva and the northern municipality of Rožaje, which are located in different climatic conditions, using multicriteria GIS decision analysis (GIS-MCDA). Nine natural and anthropogenic criteria were used for the analysis. Open geospatial data were used as input data for all criteria. The assignment of weighting coefficients for the criteria in relation to wildfire susceptibility importance was based on the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (F-AHP) procedures. The results for the AHP and F-AHP models were obtained using the Weighted Linear Combination (WLC) method. According to the AHP model, the very high and high category covers 80.93% of the total area in Budva and 80.65% in Rožaje. According to the F-AHP model, the very high and high category occupies 80.71% of the total area in Budva and 82.30% in Rožaje. The validation shows that the models of GIS-MCDA perform fair in both climatic zones. The proposed models, especially in the absence of geospatial data, can be a strategic and operational advantage in the development of plans and strategies for protection against wildfires.
PB  - Basel : MDPI
T2  - Atmosphere
T1  - Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA
VL  - 14
IS  - 6
SP  - 292
DO  - 10.3390/atmos14060929
ER  - 

@article{
author = "Nikolić, Gojko and Vujović, Filip and Golijanin, Jelena and Šiljeg, Ante and Valjarević, Aleksandar",
year = "2023",
abstract = "Montenegro has different influences on the weather and climate; in general, according to Köppen’s classification, there are two climate zones: warm temperate (C) and cold temperate (D). The aim of this study is to determine the susceptibility to wildfires in the Montenegrin coastal municipality of Budva and the northern municipality of Rožaje, which are located in different climatic conditions, using multicriteria GIS decision analysis (GIS-MCDA). Nine natural and anthropogenic criteria were used for the analysis. Open geospatial data were used as input data for all criteria. The assignment of weighting coefficients for the criteria in relation to wildfire susceptibility importance was based on the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (F-AHP) procedures. The results for the AHP and F-AHP models were obtained using the Weighted Linear Combination (WLC) method. According to the AHP model, the very high and high category covers 80.93% of the total area in Budva and 80.65% in Rožaje. According to the F-AHP model, the very high and high category occupies 80.71% of the total area in Budva and 82.30% in Rožaje. The validation shows that the models of GIS-MCDA perform fair in both climatic zones. The proposed models, especially in the absence of geospatial data, can be a strategic and operational advantage in the development of plans and strategies for protection against wildfires.",
publisher = "Basel : MDPI",
journal = "Atmosphere",
title = "Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA",
volume = "14",
number = "6",
pages = "292",
doi = "10.3390/atmos14060929"
}

Nikolić, G., Vujović, F., Golijanin, J., Šiljeg, A.,& Valjarević, A.. (2023). Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA. in Atmosphere
Basel : MDPI., 14(6), 292.
https://doi.org/10.3390/atmos14060929

Nikolić G, Vujović F, Golijanin J, Šiljeg A, Valjarević A. Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA. in Atmosphere. 2023;14(6):292.
doi:10.3390/atmos14060929 .

Nikolić, Gojko, Vujović, Filip, Golijanin, Jelena, Šiljeg, Ante, Valjarević, Aleksandar, "Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA" in Atmosphere, 14, no. 6 (2023):292,
https://doi.org/10.3390/atmos14060929 . .

TY  - JOUR
AU  - Milanović, Miško
AU  - Micić, Tanja
AU  - Lukić, Tin
AU  - Nenadović, Snežana S.
AU  - Basarin, Biljana
AU  - Filipović, Dejan
AU  - Tomić, Milisav
AU  - Samardžić, Ivan
AU  - Srdić, Zoran
AU  - Nikolić, Gojko
AU  - Ninković, Miloš M.
AU  - Sakulski, Dušan
AU  - Ristanović, Branko
PY  - 2019
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1002
AB  - This paper evaluates the application of the Normalised Difference Vegetation Index (NDVI) in the monitoring and assessment of temporal vegetation cover changes (from 2006 to 2014) in three municipalities of Central Serbia: Topola, Jagodina and Kursumlija. Additionally, special focus is placed on the analysis of the forest areas and the possible use of NDVI in the forest management sector. Results of the NDVI applied through Idrisi software identify all vegetation cover types and their typical values for presented case studies and observed periods. Obtained results for Serbian case studies indicate two major observations outlined for the investigated period. It was noticed that vegetation cover is experiencing a certain decrease, and that certain discrepancies exists between the NDVI and official forest area statistics for certain municipalities. The study outlines the positive outcomes of the applied remote sensing techniques, especially for southern Serbian municipalities where illegal logging activities are pronounced. Hence, this method proved very promising for countries performing national forest inventories, such as Serbia, providing local forest managers with several essential up-to-date information about vegetation cover changes on an annual basis.
PB  - Baia Mare : North University of Baia Mare
T2  - Carpathian Journal of Earth and Environmental Sciences
T1  - Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia
VL  - 14
IS  - 1
SP  - 119
EP  - 129
DO  - 10.26471/cjees/2019/014/064
UR  - https://hdl.handle.net/21.15107/rcub_gery_1002
ER  - 

@article{
author = "Milanović, Miško and Micić, Tanja and Lukić, Tin and Nenadović, Snežana S. and Basarin, Biljana and Filipović, Dejan and Tomić, Milisav and Samardžić, Ivan and Srdić, Zoran and Nikolić, Gojko and Ninković, Miloš M. and Sakulski, Dušan and Ristanović, Branko",
year = "2019",
abstract = "This paper evaluates the application of the Normalised Difference Vegetation Index (NDVI) in the monitoring and assessment of temporal vegetation cover changes (from 2006 to 2014) in three municipalities of Central Serbia: Topola, Jagodina and Kursumlija. Additionally, special focus is placed on the analysis of the forest areas and the possible use of NDVI in the forest management sector. Results of the NDVI applied through Idrisi software identify all vegetation cover types and their typical values for presented case studies and observed periods. Obtained results for Serbian case studies indicate two major observations outlined for the investigated period. It was noticed that vegetation cover is experiencing a certain decrease, and that certain discrepancies exists between the NDVI and official forest area statistics for certain municipalities. The study outlines the positive outcomes of the applied remote sensing techniques, especially for southern Serbian municipalities where illegal logging activities are pronounced. Hence, this method proved very promising for countries performing national forest inventories, such as Serbia, providing local forest managers with several essential up-to-date information about vegetation cover changes on an annual basis.",
publisher = "Baia Mare : North University of Baia Mare",
journal = "Carpathian Journal of Earth and Environmental Sciences",
title = "Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia",
volume = "14",
number = "1",
pages = "119-129",
doi = "10.26471/cjees/2019/014/064",
url = "https://hdl.handle.net/21.15107/rcub_gery_1002"
}

Milanović, M., Micić, T., Lukić, T., Nenadović, S. S., Basarin, B., Filipović, D., Tomić, M., Samardžić, I., Srdić, Z., Nikolić, G., Ninković, M. M., Sakulski, D.,& Ristanović, B.. (2019). Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia. in Carpathian Journal of Earth and Environmental Sciences
Baia Mare : North University of Baia Mare., 14(1), 119-129.
https://doi.org/10.26471/cjees/2019/014/064
https://hdl.handle.net/21.15107/rcub_gery_1002

Milanović M, Micić T, Lukić T, Nenadović SS, Basarin B, Filipović D, Tomić M, Samardžić I, Srdić Z, Nikolić G, Ninković MM, Sakulski D, Ristanović B. Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia. in Carpathian Journal of Earth and Environmental Sciences. 2019;14(1):119-129.
doi:10.26471/cjees/2019/014/064
https://hdl.handle.net/21.15107/rcub_gery_1002 .

Milanović, Miško, Micić, Tanja, Lukić, Tin, Nenadović, Snežana S., Basarin, Biljana, Filipović, Dejan, Tomić, Milisav, Samardžić, Ivan, Srdić, Zoran, Nikolić, Gojko, Ninković, Miloš M., Sakulski, Dušan, Ristanović, Branko, "Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia" in Carpathian Journal of Earth and Environmental Sciences, 14, no. 1 (2019):119-129,
https://doi.org/10.26471/cjees/2019/014/064 .,
https://hdl.handle.net/21.15107/rcub_gery_1002 .