Using Remote Sensing Data to Improve Groundwater Supply Estimations in Gujarat, India
Author(s) -
Pennan Chinnasamy,
Jason A. Hubbart,
Govindasamy Agoramoorthy
Publication year - 2012
Publication title -
earth interactions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.309
H-Index - 38
ISSN - 1087-3562
DOI - 10.1175/2012ei000456.1
Subject(s) - groundwater , environmental science , agriculture , hydrology (agriculture) , water resource management , water resources , resource (disambiguation) , remote sensing , geography , computer science , geology , ecology , computer network , geotechnical engineering , archaeology , biology
India is the greatest groundwater consumer in the world, with estimated annual withdrawals exceeding 230 km3. More than 60% of irrigated agriculture, 85% of drinking water supplies, and 50% of urban and industrial water needs are dependent on sustainable groundwater management. Regardless, groundwater overextraction is a growing problem in many regions. Predictions of groundwater resource availability in India are problematic in part because of a limited number of monitoring sites and insufficient data quality and quantity. Regional groundwater assessments are further complicated because of sporadic and low-frequency data. To help overcome these issues and more accurately quantify groundwater resource availability, scientists have begun using satellite-derived remote sensing data. In this study, the authors used seasonal and annual hydrologic signals obtained by NASA Gravity Recovery and Climate Experiment (GRACE) satellites and simulated soil moisture variations from land data assimilation system...
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