Application of Remote Sensing and GIS in Groundwater Exploration

  • S. K. Nag


Remote sensing and GIS methods permit rapid and cost effective natural resource survey and management. Moreover, remotely sensed data serve as vital tool in groundwater prospecting (Sharma and Jugran, 1992; Chatterjee and Bhattacharya, 1995; Tiwari and Rai, 1996; Ravindran, 1997; Horton, 1945). The remote sensing data helps in fairly accurate hydrogeomorphological analysis and identification and delineation of land features (Kumar and Srivastava, 1991). With sufficient ground data, hydrological characteristics of geomorphological features can be deciphered. Groundwater occurrence being subsurface phenomenon, its identification and location is based on indirect analysis of some directly observed terrain features like geological and geomorphic features and their hydrologic characters. Satellite remote sensing provides an opportunity for better observation and more systematic analysis of various geomorphic units, lineament features, following the integration with the help of Geographical Information System to demarcate the groundwater potential zones. Therefore, an integrated approach, including studies of lithology, hydrogeomorphology and lineament, has been taken up, using remote sensing and GIS techniques, for a proper assessment of groundwater potential zones in the study area.


Remote Sensing Vertical Electrical Sound Groundwater Potential Zone Lineament Density Geomorphic Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Chatterjee, R.S. and Bhattacharya, A.K., 1995. Delineation of the Drainage Pattern of a Coal Basin Related Inference Using Satellite Remote Sensing Techniques. Asia Pacific Remote Sensing J, 1: 107–114.Google Scholar
  2. Gupta, R.P., 1991. Remote Sensing Geology. Springer-Verlag, Germany, pp. 356.Google Scholar
  3. Horton, R.E., 1945. Erosional Development of Streams and their Drainage Basins: Hydrophysical approach to quantitative morphology. Geol. Soc. Am. Bull., 56: 275–370.CrossRefGoogle Scholar
  4. Kumar, Ashok and Srivastava, S.K., 1991. Geomorphological Unit, their Geohydrological Characteristics and Vertical Electrical Sounding Response near Munger, Bihar. J. Indian Soc. Remote Sensing, 19(4): 205–215.Google Scholar
  5. Lillesand, T.M., 1989. Remote Sensing and Image Interpretation. John Wiley and Sons, U.S.A., pp. 721.Google Scholar
  6. Revindran, K.V., 1997. Drainage Morphometry Analysis and Its Correlation with Geology, Geomorphology and Groundwater Prospects in Zuvari Basin, South Goa, Using Remote Sensing and GIS. Proc. Nal Sym-remote sensing for natural resource with special emphasis on water management, held at Pune during Dec. 4–6, 1996, pp. 270–296.Google Scholar
  7. Saraf, A.K. and Chowdhury, P.R., 1998. Integrated Remote Sensing and GIS for Groundwater Exploration and Identification of Artificial Recharge Sites. International Journal of Remote Sensing. 19(10): 1825–1841.CrossRefGoogle Scholar
  8. Shah, P.N., 2001. Hyrogeomorphological Mapping for Evaluation of Groundwater Prospect Zones in Mirzapur District, Uttar Pradesh, India using IRS-1A, LISSII Geocoded Data, Spatial Information Technology. Remote sensing and Geographical Information Systems, Vol. II, pp. 447–453.Google Scholar
  9. Sharma, D. and Jugran, D.K., 1992. Hydromorphological Studies around Pinjaur-Kala Amb area, Ambala district (Haryana), and Sirmur district (Himachal Pradesh), J. Indian Soc. Remote Sensing, 29(4): 281–286.Google Scholar
  10. Srinivasan, P., 1988. Use of Remote Sensing Techniques for Detailed Hydrogeological Investigations in parts of Narmadasagar Command Area, MP (India). Photonirvachak (Journal of the Indian Society of Remote Sensing), 16(1): 55–62.Google Scholar
  11. Subbu Rao, N. et al., 2001. Identification of Groundwater Potential Zones Using Remote Sensing Techniques in and around Guntur town, Andhra Pradesh, India. J. Indian Soc. Remote Sensing, 29(1&2): 69–78.Google Scholar
  12. Tiwari, A. and Rai, B., 1996. Hydrogeomorphological Mapping for Groundwater Prospecting Using Landsat-MSS images—A Case Study of Part of Dhanbad District. J. Indian Soc. Remote Sensing, 24(4): 281–285.CrossRefGoogle Scholar

Copyright information

© Capital Publishing Company 2008

Authors and Affiliations

  • S. K. Nag
    • 1
  1. 1.Department of Geological SciencesJadavpur UniversityKolkataIndia

Personalised recommendations