I want to identify potential groundwater areas using satellite data. Any suggestion?
Although it is from 1985, I found this compilation very helpful because it systematically approaches the use of remote sensing in groundwater exploration and lists various ways to start: http://nora.nerc.ac.uk/id/eprint/505150/1/WC_OG_85_1.pdf
Need proper classification of satellite remote sensing data of these area. Also, If there exist temporal data of these area then you can go through change detection of these area specifically for groundwater class (If classification already done for previous date data).
If you haven't a spatial geological groundwater map, the easier way to use a vegetation map. Depend of vegetation species you can expect to find groundwater on the different depth.
For example "Alnus glutinosa" like wet soil and close groundwater occurrence.
Although it is from 1985, I found this compilation very helpful because it systematically approaches the use of remote sensing in groundwater exploration and lists various ways to start: http://nora.nerc.ac.uk/id/eprint/505150/1/WC_OG_85_1.pdf
Thank you all for the quick response. Any suggestion which satellite data will help me to achieve this one? I'm looking for open source data.
I think GRACE data would be benefit to you. check this links
https://www.hydrol-earth-syst-sci-discuss.net/7/4501/2010/hessd-7-4501-2010.pdf
https://grace.jpl.nasa.gov/applications/groundwater/
Hello
If you use landsat image (TM, ETM+ or OLI), you can trace and detect groudwater (lake, river and other) by calculating the
Normalised Différence Water Index NDWI as described by Gao (1996)
NDWI = (NIR - SWIR) / (NIR + SWIR) its for soil moisture not groude water
cordially
Sory its for correction, so the spectral index of water are:
1-Grouder water: (Green – NIR)/ (Green + NIR), can highlight surface of water as lake, river , ...
2-Soil moisture: (NIR – SWIR)/ (NIR + SWIR), can highlight humidity of soil and vegetataion: as irrigated region or other water in soil different from groundwater
sorry for the mistake in my first message
IBOUH Hassan
Very good suggestions. NDVI is a good indicator which can be used in conjunction with proper classification based on known groundwater locations. ENVI software can help much in this regard.
You would suggest you to use GRACE-derived terrestrial water storage dataset.
This may help you- Article Diagnosing Land Water Storage Variations in Major Indian Riv...
Dear you need to find the map of a lineament of your satellite imagery
then under each cross lineaments there is a groundwater
regards
Dear Gajanan,
GRACE data can be only used for regional scale analysis because of its coarse resolution (25km). However, it is possible to Apply radar or optical data to detect water table if your study area is soil or sand dominant (not thick rocks). One approach published is to use optical data to determine soil moisture, and then to correlate the standardized moisture with the depth of groundwater table. I found the approach is operational. Please refer to the uploaded paper by Huo et al 2012 for detail.
Good try,
Best,
Weicheng
I suggest that you study Lineaments and its distribution in your area of study and see where it can be rare and where it can be dense.
regards.
Dear in general you need to build a model to detect the ground water by Arc Map and use different type of parameter such as soil type, soil moisture, slop, also you need to use satellite imagery to extract the lineament....
Regards
Dear Kothawade
I used remote sensing and other related data extensivly for groundwater exploration here in Sudan, in particular, at locations of secondary porosity . Several parameters or layers sholud be combined such as rainfall, natural drainage system, recharge area, discharge area, slope, lineaments, alignment of natural vegetation and their type, soil type, and gravity data. The overall objective of the remote sensing work is to restrict the search space and to identify highly ranked potential areas or locations with a particular geographical coordinates. The remote sensing work will be followed by resistivity work at the potential locations. In general, the remote sensing work needs to be embeded in a modular approach that exploits the synergy of different technologies along the quidelines of cost/benefit analysis and the economy of scale.
Dear you Dear you can visit RG ,so I thank written for this subject and meet you
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