TY - CONF
AU - Protić, Dragutin
AU - Milutinović, S.
AU - Antonijević, Ognjen
AU - Sekulić, Aleksandar
AU - Kilibarda, Milan
PY - 2016
UR - https://grafar.grf.bg.ac.rs/handle/123456789/1427
PB - Faculty of Civil Engineering, Belgrade
C3 - Proceedings of GeoMLA, Geostatistics and Machine Learning, Application in Climate and Environmental Sciences, Belgrade, Serbia 21-24 June 2016
T1 - Sensitivity of vegetation indices derived from Sentinel-2 data to change in biophysical characteristics
UR - https://hdl.handle.net/21.15107/rcub_grafar_1427
ER -
@conference{
author = "Protić, Dragutin and Milutinović, S. and Antonijević, Ognjen and Sekulić, Aleksandar and Kilibarda, Milan",
year = "2016",
publisher = "Faculty of Civil Engineering, Belgrade",
journal = "Proceedings of GeoMLA, Geostatistics and Machine Learning, Application in Climate and Environmental Sciences, Belgrade, Serbia 21-24 June 2016",
title = "Sensitivity of vegetation indices derived from Sentinel-2 data to change in biophysical characteristics",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1427"
}
Protić, D., Milutinović, S., Antonijević, O., Sekulić, A.,& Kilibarda, M.. (2016). Sensitivity of vegetation indices derived from Sentinel-2 data to change in biophysical characteristics. in Proceedings of GeoMLA, Geostatistics and Machine Learning, Application in Climate and Environmental Sciences, Belgrade, Serbia 21-24 June 2016
Faculty of Civil Engineering, Belgrade..
https://hdl.handle.net/21.15107/rcub_grafar_1427
Protić D, Milutinović S, Antonijević O, Sekulić A, Kilibarda M. Sensitivity of vegetation indices derived from Sentinel-2 data to change in biophysical characteristics. in Proceedings of GeoMLA, Geostatistics and Machine Learning, Application in Climate and Environmental Sciences, Belgrade, Serbia 21-24 June 2016. 2016;.
https://hdl.handle.net/21.15107/rcub_grafar_1427 .
Protić, Dragutin, Milutinović, S., Antonijević, Ognjen, Sekulić, Aleksandar, Kilibarda, Milan, "Sensitivity of vegetation indices derived from Sentinel-2 data to change in biophysical characteristics" in Proceedings of GeoMLA, Geostatistics and Machine Learning, Application in Climate and Environmental Sciences, Belgrade, Serbia 21-24 June 2016 (2016),
https://hdl.handle.net/21.15107/rcub_grafar_1427 .