Paper
9 October 2019 Application of remotely sensed NDVI and soil moisture to monitor long-term agricultural drought
Abhishek A. Pathak, B. M. Dodamani
Author Affiliations +
Abstract
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abhishek A. Pathak and B. M. Dodamani "Application of remotely sensed NDVI and soil moisture to monitor long-term agricultural drought", Proc. SPIE 11156, Earth Resources and Environmental Remote Sensing/GIS Applications X, 1115615 (9 October 2019); https://doi.org/10.1117/12.2532852
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Agriculture

Soil science

Vegetation

Analytical research

MODIS

Temporal resolution

Data acquisition

Back to Top