The Added Utility of Hydrological Model and Satellite Based Datasets in Agricultural Drought Analysis over Turkey

2017-12-12
Bulut, Burak
Afshar, Mehdi
Yılmaz, Mustafa Tuğrul
Analysis of agricultural drought, which causes substantial socioeconomically costs in Turkey and in the world, is critical in terms of understanding this natural disaster’s characteristics (intensity, duration, influence area) and research on possible precautions. Soil moisture is one of the most important parameters which is used to observe agricultural drought, can be obtained using different methods. The most common, consistent and reliable soil moisture datasets used for large scale analysis are obtained from hydrologic models and remote sensing retrievals. On the other hand, Normalized difference vegetation index (NDVI) and gauge based precipitation observations are also commonly used for drought analysis. In this study, soil moisture products obtained from different platforms, NDVI and precipitation datasets over several different agricultural regions under various climate conditions in Turkey are obtained in growth season period. These datasets are later used to investigate agricultural drought by the help of annual crop yield data of selected agricultural lands. The type of vegetation over these regions are obtained using CORINE Land Cover (CLC 2012) data. The crop yield data were taken from the record of related district’s statistics which is provided by Turkish Statistical Institute (TÜİK).

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Citation Formats
B. Bulut, M. Afshar, and M. T. Yılmaz, “The Added Utility of Hydrological Model and Satellite Based Datasets in Agricultural Drought Analysis over Turkey,” 2017, Accessed: 00, 2021. [Online]. Available: https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/276242.