Timing is Everything - Drought Classification for Risk Assessment
Graw, Valerie, Ghazaryan, Gohar, Schreier, Jonas, González, Javier, Abdel-Hamid, Ayman, Walz, Yvonne, Dall, Karen, Post, Joachim, Jordaan, Andries J. and Dubovyk, Olena ed. Timing is Everything - Drought Classification for Risk Assessment 2018/07/22-27 Valencia. Valencia: IEEE, 2019.
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Conference Proceeding
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http://dx.doi.org/10.1109/IGARSS.2018.8517584 Full text from publisher -
Sub-type Conference proceedings Author Graw, Valerie
Ghazaryan, Gohar
Schreier, Jonas
González, Javier
Abdel-Hamid, Ayman
Walz, Yvonne
Dall, Karen
Post, Joachim
Jordaan, Andries J.
Dubovyk, OlenaEvent series IGARSS 2018 -2018 IEEE International Geoscience and Remote Sensing Symposium Title of Event Timing is Everything - Drought Classification for Risk Assessment Date of Event 2018/07/22-27 Place of Event Valencia Organizer IEEE GRSS Publication Date 2019 Place of Publication Valencia Publisher IEEE Pages III, 3 Language eng Abstract Drought is one of the most severe natural disasters with the highest risk for human livelihoods. Remote sensing based drought indices can identify dry periods using e.g. precipitation or vegetation information. Besides frequency, duration and intensity, the timing of a drought onset is an important variable to measure drought risk. This study classifies drought events based on the timing of drought onsets and duration. Drought and non-drought seasons are analyzed in two study sites in South Africa and Ukraine where drought characteristics are different. South Africa drought highly depends on the starting point and duration of rainfall, whereas in Ukraine soil moisture and temperature play key roles. Weighted linear combination is applied based on vulnerable growing stages in the seasonal phenology to classify droughts. By integration of socio-economic information this hazard information supports the quantification of the actual risk of a drought event. Keyword Drought indices
Phenology
Weighted linear combination
Time series analysis
Risk analysisCopyright Holder IEEE Copyright Year 2018 Copyright type All rights reserved ISBN 9781538671504 DOI 10.1109/IGARSS.2018.8517584 -
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