作者: Rajkumar Dhakar , Vinay Kumar Sehgal , Sanatan Pradhan
DOI: 10.1016/J.JARIDENV.2013.06.001
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摘要: Abstract Use of rainfall anomaly based Standardized Precipitation Index (SPI) and satellite-derived Vegetation Condition (VCI) are becoming common to assess the impacts drought on crops. This study analysed spatio-temporal intra-seasonal inter-seasonal relationships for 24 years between NDVI SPI VCI understand crop response water availability in Rajasthan State, India. To separate effect weather technology growth over time, a modification was proposed called “Trend Adjusted VCI” (VCITadj). The VCITadj computed early, mid, late whole seasons by deriving pixel wise phenology metrics from profile. Significant linear were found but phase season affected strength this relationship. linearly related all four seasons, relationship improved with progress these stronger than NDVI. These broke down irrigated croplands. As result, indices their can be used crops early detection better prognosis agricultural drought.