Gurgaon, India: “Remotely sensed data like indigenous IRS-P6 LISSIVMX, IRS-P6 LISS-III and IRS-IC/ID LISS-III provide very useful baseline information on the parameters like geomorphology, lithology, lineaments, drainage network, paleochannels, weathered residuum, soils and land use/cover, which are actually controlling the occurrence and movement of groundwater,” stated Professor D. Das, Department of Environmental Science, University of Kalyani, India. He was addressing the session, Natural Resource Development Management System (NRDMS) on the day two of India Geospatial Forum.
He added that watershed, which is considered as a hydrologic unit for ground water (in unconfined aquifer) development, can also be delineated by interpreting standard FCC data or through the generation of digital elevation model (DEM).
The paper, Geospatial Fusion based DSS for Ground Water Management, by Umesh Kumar, Divisional Director – Rolta HLS/Maritime Security and GIS, Rolta, prominently elaborated how Rolta’s Geospatial Fusion helped Rajasthan state government in the development of a groundwater information system. Prabir Kumar Mukherjee, Associate Consultant, TCS, recalled that during 2000s, GIS systems and applications saw new trends like data exchange & interoperability standards, development of web services, enhanced display capabilities, 3D visualisation, integration of GPS and remote sensing imagery with GIS in groundwater study. He envisaged that tomorrow’s data structures will accommodate time as a stored dimension and completely change the conventional mapping paradigm. “The future will also build on the cognitive basis, as well as the databases, of GIS technology. Information systems are at a threshold that is pushing well beyond mapping, management, modelling and multimedia to spatial reasoning and dialogue.”
Parabita Basu, Junior Research Fellow, Wildlife Institute of India, presented a paper titled Assessment of the Future of Potential Dispersal Corridors of Asiatic Lions (Panthera leo persica) Across the Agro-Pastoral Landscape Between Gir & Girnar Wildlife Sanctuary. Her study was based-on Landsat 5 data. Using FRAGSTATS method, she calculated spatial metrics and their variation. She also used Cellular Automata (CA)-Markov Chain analysis modelling technique.
Source: Our Correspondent