Assessment of agricultural drought based on multi-source remote sensing data in a major grain producing area of Northwest China

Drought is considered to be one of the most serious natural disasters in China, which can result enormous damage nature and socio-economy. Compared traditional ground-based monitoring techniques, remote sensing effectively compensate for spatial discontinuities at ground stations. The use technology drought has irreplaceable advantages. applicability TRMM3B43 dataset precipitation was firstly verified Wei River basin, spatiotemporal characteristics were analyzed. Based on TRMM3B43, MODIS NDVI, LST datasets, variations secondly investigated by calculating Precipitation Condition Index (PCI), Vegetation (VCI), Temporal (TCI). Crop yield employed as reference impact evaluating Scaled (SDCI) based combination PCI, VCI, VCI four kinds weight determination methods, i.e. Analytic Hierarchy Process (AHP), Entropy method, Criteria Importance Through Intercriteria Correlation (CRITIC), Fuzzy Comprehensive Evaluation (FCE). Finally, agricultural calculated SDCI evaluated against area, disaster crop failure area verify assessment basin. results showed that determined FCE better correlations with (R2 =0.45) than other methods. values exhibited a "W" shape from 2003 2010 during growing seasons an increasing trend after 2013. drought-prone areas shifted north south, degree decreasing then increasing. In addition, =0.35) = 0.16). At municipal level, could well assess drought. demonstrated monitor impacts agriculture may provide helpful information prevention.