look at NDWI. I have used it in our paperA REMOTE SENSING CLASSIFICATION FOR LAND-COVER CHANGES AND MICRO-CLIMATE IN KUWAIT that is available on researchgate.
If we restrict remote sensing to just images, it is not feasible to directly locate ground water reservoirs. You should look at some indications such as "soil moisture", "slope", "DEM", "soil type", "precipitation" , "land type" and so forth. If we go beyond images, you can make use of GRACE- Terrestrial water storage just in large scales...
Amir GRACE is an excellent option, but only will give you any meaningful result if you are doing a continental scale study rather than at smaller scales. Moreover the question is being asked about an index like NDVI.
A regression equation based upon the field data and assimilation of NDVI, Soil Type, Geology, Surface Soil Moisture, Root Zone Soil moisture and Geomorphometric parameters will solve the propose with much better accuracy.
for ground water storage changes nothing but GRACE can be applied all the rest would be auxiliary data.
In my worked i have been used Gao's Modified NDWI and Wilson's NDMI techniques as a indicator of soil moisture. Because high Soil moisture indicates good potentially of GW. After getting that result i correlate it with the result of prioritization of sub-basins based on morphometric analysis. Both findings correlate nicely. Is it is good or not?
In my worked i have been used Gao's Modified NDWI and Wilson's NDMI techniques as a indicator of soil moisture. Because high Soil moisture indicates good potentially of GW. After getting that result i correlate it with the result of prioritization of sub-basins based on morphometric analysis. Both findings correlate nicely. Is it is good or not?
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