Mapping the spatial and temporal variation of agricultural and meteorological drought using geospatial techniques, Ethiopia

Abstract Background Geographic Information System (GIS) and Remote Sensing play an important role for near real time monitoring of drought condition over large areas. The aim this study was to assess spatial temporal variation agricultural meteorological using image eMODIS NDVI based vegetation index (VCI) standard precipitation (SPI) from the year 2000 2016. To validate strength indices correlation analysis made between VCI crop yield anomaly as well standardized anomaly. Results results revealed that 2009 2015 years while 2001 2007 were wet years. There also a good rainfall (r = 0.71), (0.72), SPI (0.74). Frequency metrological compiled by historical intensity map. result shows there complex local scale in frequency events period. no without many parts area. Combined risk map showed 8%, 56% 35% area vulnerable very severe, severe moderate respectively. Conclusions In conclusion, is highly drought. Thus besides mapping areas, integrating socio-economic data better understand other factors recommended.