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Application of remotely sensed NDVI and soil moisture to monitor long-term agricultural drought

机译:远程感测的NDVI和土壤水分的应用监测长期农业干旱

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The present study aims to assess agricultural drought using remote sensing based NDVI and soil moisture products in a drought prone river basin of India. The study is conducted in the Ghataprabha river basin which is a sub basin of river Krishna, in India and is agriculturally dominated. Major portion of the basin is semiarid and rainfall is the major sources of water for agriculture. Gridded soil moisture data from Modern-Era Retrospective analysis for Research and Applications (MERRA) from 1980 to 2015 is considered to derive Standardized Soil moisture Index (SSI) at different time scales. The Vegetation Condition Index (VCI) was calculated from MODIS NDVI products from 2000-2013. The results of VCI and SSI indicated significant number of drought episodes during the study period while severe agricultural drought was observed during 2001-2003. A Good agreement between SSI and VCI was observed during drought year.
机译:本研究旨在利用印度干旱普通河流域的遥感NDVI和土壤水分产品评估农业干旱。该研究是在GhataPrabha河流域进行,该流域是印度河克里希纳河的船盆,是农业统治。盆地的主要部分是半干旱和降雨是农业水域的主要来源。从1980年至2015年的研究和应用中的现代近日回顾性分析的网格土壤湿度数据被认为是在不同时间尺度上获得标准化的土壤湿度指数(SSI)。植被状况指数(VCI)由2000-2013的Modis NDVI产品计算。 VCI和SSI的结果表明了在研究期间的大量干旱发作,而2001-2003期间观察到严重的农业干旱。在干旱年度观察到SSI和VCI之间的良好一致性。

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