Share Email Print
cover

Proceedings Paper

Application of remotely sensed NDVI and soil moisture to monitor long-term agricultural drought
Author(s): Abhishek A. Pathak; B. M. Dodamani
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 9 October 2019
PDF: 6 pages
Proc. SPIE 11156, Earth Resources and Environmental Remote Sensing/GIS Applications X, 1115615 (9 October 2019);
Show Author Affiliations
Abhishek A. Pathak, National Institute of Technology, Karnataka, Surathkal (India)
B. M. Dodamani, National Institute of Technology, Karnataka, Surathkal (India)


Published in SPIE Proceedings Vol. 11156:
Earth Resources and Environmental Remote Sensing/GIS Applications X
Karsten Schulz; Ulrich Michel; Konstantinos G. Nikolakopoulos, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray