The Centre for Science and Environment (CSE) conducted a three-day residential training programme on “Using AI, GIS and Remote Sensing for Mapping Potential Groundwater Recharge Zones in Urban & Rural Areas” from February 16–18, 2026, at the Anil Agarwal Environment Training Institute. The programme aimed to strengthen the technical capacity of government officials and practitioners to address emerging groundwater challenges through scientific, data-driven approaches.
The training began by setting the context of groundwater stress in both urban and rural areas, highlighting issues such as over-extraction, declining recharge, contamination, and the impacts of rapid urbanisation and intensive irrigation. Sessions covered groundwater recharge processes, aquifer systems, and scientific estimation methodologies essential for balancing recharge and withdrawal.
Technical modules introduced participants to Geographic Information Systems (GIS), remote sensing, coordinate systems, and thematic mapping techniques. Participants learned how to integrate datasets such as rainfall, soil type, slope, land use, and geology to identify potential recharge zones. Hands-on exercises were conducted using QGIS, GPS-enabled mobile applications, and hydrological modelling tools such as SWAT (Soil and Water Assessment Tool). A dedicated session on Artificial Intelligence (AI) and machine learning demonstrated how multi-layer datasets can be analysed to improve the accuracy of recharge zone prediction, particularly in hard rock terrains.
A field visit to the rural areas of Alwar district provided practical exposure to spatial data collection, hydrogeological interpretation, and traditional water management practices. Participants later processed and analysed field data to create recharge suitability maps.
The programme concluded with group exercises on accessing government datasets, integrating thematic layers, and presenting recharge mapping outputs, strengthening participants’ skills in applying advanced tools for sustainable groundwater planning and management.
Training Coordinator
Vivek Kumar Sah
Programme Officer
Water Programme, CSE,
Email: vivek.sah@cseindia.org
Phone: +91-9708887214/+91-8085443793
Training Director
Subrata Chakraborty
Director
Water Programme, CSE
Email: subrata.chakraborty@cseindia.org
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| It was an excellent and well-structured training programme that greatly enhanced my knowledge in the field of remote sensing and GIS. The combination of conceptual sessions and hands-on exercises helped me better understand data analysis, mapping techniques, and practical applications. The exposure to advanced tools and field-based learning made the experience even more meaningful. For me, it was a valuable opportunity to strengthen my technical skills and professional understanding. By: Rahul Meena, Assistant Engineer, PHED, Rajasthan |
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| The training was well structured and thoughtfully designed. As a beginner, I learned a great deal throughout the programme. It was both interesting and informative, covering everything from basic concepts to advanced tools and technical techniques. The sessions helped me build a strong foundation and improved my confidence in understanding and using the subject effectively. By: Asmita Saha, Research and Innovation Officer, WaterAid India |
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| The training was truly excellent and very well organized. From the theoretical sessions to the hands-on practical exercises and field visits, every component was carefully planned and executed. The trainers explained concepts clearly and ensured that even beginners like me could follow and understand the technical aspects. I sincerely thank the Centre for Science and Environment (CSE) for organizing such a meaningful and capacity-building programme. The exposure to real-world applications, advanced tools, and field-based learning greatly enhanced my understanding. I have learned a lot from this training, and it has strengthened both my knowledge and confidence in applying these skills in practice. By: Poonam Sirawata, Technical Assistant, Groundwater Department, Rajasthan |
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