DocumentCode :
144361
Title :
Quantitative estimation of drought risk in Ukraine using satellite data
Author :
Skakun, Sergii ; Kussul, Nataliia ; Kussul, Olga ; Shelestov, Andrii
Author_Institution :
Space Res. Inst., Kiev, Ukraine
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
5091
Lastpage :
5094
Abstract :
In this paper, we focus on quantitative drought risk assessment using satellite data. Methods of the extreme value theory (EVT) are applied for a time-series of vegetation health index (VHI) derived from NOAA satellites in order to provide drought hazard mapping. For this, a Poisson-GP (Generalized Pareto) model is applied for modelling VHI extreme values. The model allows estimation and mapping of return periods of different categories of drought severity. An approach to economical risk assessment due to droughts is presented. The derived drought hazard map is integrated with high resolution crop map to provide final estimates of risk. The proposed approach is implemented for quantitative assessment of drought risk for the Kyiv region in Ukraine.
Keywords :
hydrology; remote sensing; vegetation; Kyiv region; NOAA satellites; Poisson-Generalized Pareto model; Ukraine; VHI extreme values; drought hazard mapping; drought risk quantitative estimation; extreme value theory; quantitative drought risk assessment; satellite data; vegetation health index; Agriculture; Earth; Estimation; Hazards; Indexes; Satellites; Vegetation mapping; Ukraine; agriculture; drought; risk; satellite data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947642
Filename :
6947642
Link To Document :
بازگشت