Annual land use maps for India
arp...@iima.ac.in
Ujaval Gandhi
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Meera Mehta
Sent: Tuesday, April 22, 2025 9:18 PM
To: datameet <data...@googlegroups.com>
Subject: [datameet] Annual land use maps for India
Pathan Shoeb
Respected Madam
Subject: Re: Inquiry on Monitoring Groundwater Using Satellite Data
Dear Meera Mehta ji,
Thank you for raising such a pertinent and forward-thinking inquiry.
Yes, monitoring groundwater at the district or city level using satellite data is indeed possible and increasingly being adopted in India and globally. There are several notable datasets, tools, and methodologies that can support such efforts:
1. GRACE and GRACE-FO Satellites (NASA):
These provide data on total water storage changes, which include surface water, soil moisture, and groundwater. While the spatial resolution is coarse (~100 km), GRACE is useful for identifying large-scale trends in groundwater depletion or recharge.
2. ISRO’s Bhuvan Platform:
Under the National Remote Sensing Centre (NRSC), Bhuvan provides valuable geospatial layers, including aquifer maps, land use, rainfall distribution, and water body monitoring. The "Rajiv Gandhi National Groundwater Augmentation Mission" also provides thematic groundwater maps at micro-watershed levels.
3. CGWB’s Aquifer Mapping and Management Plan (NAQUIM):
The Central Ground Water Board has conducted extensive aquifer mapping using both satellite and ground-based data, producing highly localized hydrogeological datasets. These can often be accessed upon request or through MoUs.
4. Google Earth Engine (GEE):
This cloud-based platform allows for rapid analysis of large-scale remote sensing datasets. You can combine datasets such as Sentinel-1, Sentinel-2, Landsat, and SMAP to monitor parameters like vegetation cover (indicative of recharge), surface water presence, and land subsidence (a proxy for groundwater depletion in some cases).
5. Groundwater Modelling using Integrated Datasets:
You might consider integrating satellite data with ground-based piezometer data using models such as MODFLOW (supported by USGS) to simulate and map aquifer behavior at finer scales.
Suggested Methodology:
Use GRACE for regional trend assessment
Overlay with NAQUIM and CGWB datasets for aquifer-specific data
Utilize GEE to monitor land cover, recharge areas, and rainfall correlation
Conduct validation using field-level piezometric and geophysical data
Use AI/ML models to predict groundwater stress zones
Potential Collaborators and Resources:
National Institute of Hydrology (NIH), Roorkee
IITs (especially IIT Roorkee, IIT Bombay, IIT Kharagpur)
WRIS India (India-WRIS portal)
CSRE, IIT Bombay’s water resource modelling group
International collaborations with NASA or ESA (European Space Agency) on water mission data
If needed, we would be happy to explore the scope of a joint pilot or provide support in accessing some of these tools and workflows.
Warm regards,
Mohd Shoeb Rashid
Persuing :
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