Provincial Secretariat for Science and Technological Development, Vojvodina Province [114-451-2080/2017]

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Provincial Secretariat for Science and Technological Development, Vojvodina Province [114-451-2080/2017]

Authors

Publications

Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia

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

(Baia Mare : North University of Baia Mare, 2019)

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 .
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Rainfall erosivity and extreme precipitation in the Pannonian basin

Lukić, Tin; Lukić, Aco; Basarin, Biljana; Micić-Ponjiger, Tanja; Blagojević, Dragana; Mesaros, Minucer; Milanović, Miško; Gavrilov, Milivoj B.; Pavić, Dragoslav; Zorn, Matija; Komac, Blaz; Miljković, Đurđa; Sakulski, Dušan; Babić-Kekez, Snežana; Morar, Cezar; Janićević, Sava

(Sciendo, Warsaw, 2019)

TY  - JOUR
AU  - Lukić, Tin
AU  - Lukić, Aco
AU  - Basarin, Biljana
AU  - Micić-Ponjiger, Tanja
AU  - Blagojević, Dragana
AU  - Mesaros, Minucer
AU  - Milanović, Miško
AU  - Gavrilov, Milivoj B.
AU  - Pavić, Dragoslav
AU  - Zorn, Matija
AU  - Komac, Blaz
AU  - Miljković, Đurđa
AU  - Sakulski, Dušan
AU  - Babić-Kekez, Snežana
AU  - Morar, Cezar
AU  - Janićević, Sava
PY  - 2019
UR  - https://gery.gef.bg.ac.rs/handle/123456789/989
AB  - In order to assess the rainfall erosivity in the Pannonian basin, several parameters which describe distribution, concentration and variability of precipitation were used, as well as 9 extreme precipitation indices. The precipitation data is obtained from the European Climate Assessment and Dataset project for the period 1961-2014, for 8 meteorological stations in northern Serbia, 5 in Hungary and 1 in eastern Croatia. The extreme values of precipitation were calculated following the indices developed by the ETCCDI. RclimDex software package was used for indices calculation. Based on statistical analysis and the calculated values, the results have been presented with Geographic Information System (GIS) to point out the most vulnerable parts of the Pannonian basin, with regard to pluvial erosion. This study presents the first result of combined rainfall erosivity and extreme precipitation indices for the investigated area. Results of PCI indicate presence of moderate precipitation concentration (mean value 11.6). Trend analysis of FI (mean value 22.7) and MFI (mean value 70.2) implies a shift from being largely in the low erosivity class, to being completely in the moderate erosivity class in the future, thus indicating an increase in rainfall erosivity for most of the investigated area (except in the northwestern parts). Furthermore, the observed precipitation extremes suggest that both the amount and the intensity of precipitation are increasing. The knowledge about the areas affected by strong soil erosion could lead to introducing effective measures in order to reduce it. Long term analysis of rainfall erosivity is a significant step concerning flood prevention, hazard mitigation, ecosystem services, land use change and agricultural production.
PB  - Sciendo, Warsaw
T2  - Open Geosciences
T1  - Rainfall erosivity and extreme precipitation in the Pannonian basin
VL  - 11
IS  - 1
SP  - 664
EP  - 681
DO  - 10.1515/geo-2019-0053
UR  - https://hdl.handle.net/21.15107/rcub_gery_989
ER  - 
@article{
author = "Lukić, Tin and Lukić, Aco and Basarin, Biljana and Micić-Ponjiger, Tanja and Blagojević, Dragana and Mesaros, Minucer and Milanović, Miško and Gavrilov, Milivoj B. and Pavić, Dragoslav and Zorn, Matija and Komac, Blaz and Miljković, Đurđa and Sakulski, Dušan and Babić-Kekez, Snežana and Morar, Cezar and Janićević, Sava",
year = "2019",
abstract = "In order to assess the rainfall erosivity in the Pannonian basin, several parameters which describe distribution, concentration and variability of precipitation were used, as well as 9 extreme precipitation indices. The precipitation data is obtained from the European Climate Assessment and Dataset project for the period 1961-2014, for 8 meteorological stations in northern Serbia, 5 in Hungary and 1 in eastern Croatia. The extreme values of precipitation were calculated following the indices developed by the ETCCDI. RclimDex software package was used for indices calculation. Based on statistical analysis and the calculated values, the results have been presented with Geographic Information System (GIS) to point out the most vulnerable parts of the Pannonian basin, with regard to pluvial erosion. This study presents the first result of combined rainfall erosivity and extreme precipitation indices for the investigated area. Results of PCI indicate presence of moderate precipitation concentration (mean value 11.6). Trend analysis of FI (mean value 22.7) and MFI (mean value 70.2) implies a shift from being largely in the low erosivity class, to being completely in the moderate erosivity class in the future, thus indicating an increase in rainfall erosivity for most of the investigated area (except in the northwestern parts). Furthermore, the observed precipitation extremes suggest that both the amount and the intensity of precipitation are increasing. The knowledge about the areas affected by strong soil erosion could lead to introducing effective measures in order to reduce it. Long term analysis of rainfall erosivity is a significant step concerning flood prevention, hazard mitigation, ecosystem services, land use change and agricultural production.",
publisher = "Sciendo, Warsaw",
journal = "Open Geosciences",
title = "Rainfall erosivity and extreme precipitation in the Pannonian basin",
volume = "11",
number = "1",
pages = "664-681",
doi = "10.1515/geo-2019-0053",
url = "https://hdl.handle.net/21.15107/rcub_gery_989"
}
Lukić, T., Lukić, A., Basarin, B., Micić-Ponjiger, T., Blagojević, D., Mesaros, M., Milanović, M., Gavrilov, M. B., Pavić, D., Zorn, M., Komac, B., Miljković, Đ., Sakulski, D., Babić-Kekez, S., Morar, C.,& Janićević, S.. (2019). Rainfall erosivity and extreme precipitation in the Pannonian basin. in Open Geosciences
Sciendo, Warsaw., 11(1), 664-681.
https://doi.org/10.1515/geo-2019-0053
https://hdl.handle.net/21.15107/rcub_gery_989
Lukić T, Lukić A, Basarin B, Micić-Ponjiger T, Blagojević D, Mesaros M, Milanović M, Gavrilov MB, Pavić D, Zorn M, Komac B, Miljković Đ, Sakulski D, Babić-Kekez S, Morar C, Janićević S. Rainfall erosivity and extreme precipitation in the Pannonian basin. in Open Geosciences. 2019;11(1):664-681.
doi:10.1515/geo-2019-0053
https://hdl.handle.net/21.15107/rcub_gery_989 .
Lukić, Tin, Lukić, Aco, Basarin, Biljana, Micić-Ponjiger, Tanja, Blagojević, Dragana, Mesaros, Minucer, Milanović, Miško, Gavrilov, Milivoj B., Pavić, Dragoslav, Zorn, Matija, Komac, Blaz, Miljković, Đurđa, Sakulski, Dušan, Babić-Kekez, Snežana, Morar, Cezar, Janićević, Sava, "Rainfall erosivity and extreme precipitation in the Pannonian basin" in Open Geosciences, 11, no. 1 (2019):664-681,
https://doi.org/10.1515/geo-2019-0053 .,
https://hdl.handle.net/21.15107/rcub_gery_989 .
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