5th International Young Scientist Congress (IYSC-2019).  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Application of Remote Sensing, GIS and MIF technique for Elucidation of Groundwater Potential Zones from a part of Orissa coastal tract, Eastern India

Author Affiliations

  • 1 Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, WB–721302, INDIA

Res. J. Recent Sci., Volume 2, Issue (11), Pages 42-49, November,2 (2013)


With the advent of civilization and economic development of the country the demand for water has increased over the years. Therefore, evaluating the potential groundwater zone is very important for secured groundwater systems. Combination of remote sensing data and geographical information system (GIS) has brought a distinct path to study this kind of problems. Thus, the present study attempts to select and elucidate various groundwater potential zones for the assessment of groundwater availability in a coastal part of Orissa using remote sensing, GIS and multi-influencing factor (MIF) techniques. Survey of India Topo sheet and Satellite IRS-IC LISS III, Lands at TM digital and SRTM data are used to prepare various thematic layersviz., land use, geomorphological, geological, slope, drainage density and lineament density map. All these six layers are integrated using the Spatial Analyst Tool in Arc GIS 9.2 implying weighted overlay methods to delineate the Ground Water Potential Zones.In weighted overlay analysis each of these layers has been allotted fixed score and weight calculated from MIF technique on the basis of relative contribution of each of these maps towards groundwater potential. All the thematic maps are then enumerated with one another through ground control points and joined step by step using the normalized aggregation method in GIS for computing groundwater potential index. Finally, based on cumulative weighted value, groundwater recharges zones have been selected and classified into very good, good, poor, and very poor zones, respectively. The result depicts major portions of the study area have “Very Good” as well as “Good” prospect while a few scattered areas have very poor prospect. Thus, the results will be supportive for improved organization and supervision of ground water resources of the present area.


  1. Rodell M, Isabella V. and James S. F., Satellitebased estimates of groundwater depletion in India, Nature, 460, 999–1002 (2009)
  2. Central Groundwater Board, Ground water scenario in major cities of India. Indian Ministry of Water Resources Report, 229 (2011)
  3. Tiwari V., Wahr J., Swenson S., Rao A., Singh B. and Sudarshan G., Land water storage variation over Southern India from space gravimetry, Curr. Sci., 101, 536–540 (2011)
  4. Mohrir A, Ramteke D S., Moghe C A., Wate S R., Sarin R., Surface and ground water quality assessment in Bina region, Indian J. Environ. Prot., 22(9), 961–969 (2002)
  5. Greenbaum D., Structural Influences on the Occurrence of Groundwater in SE Zimbabwe, Geological Society, London, Special Publications, 66, 77–85 (1992)
  6. Mukherjee S., Targetting saline aquifer by remote sensing and geophysical methods in a part of Hamirpur–Kanpur, India, Hydrol. J., 19, 1867–1884 (1996)
  7. Jensen J R., Introductory digital image processing, Third EditionPrentice Halls, Englewood Cliffs, NJ, 544 (1986)
  8. Engman E T., Gurney R J., Remote Sensing in Hydrology, Chapman and Hall, London, 225 (1991)
  9. Saraf A K. and Choudhury P R., Integrated Remote Sensing and GIS for Groundwater Exploration and Identification of artificial recharge sites, Intl. J. Rem. Sen, 19(10), 1825–1841, (1998)
  10. Epstein J., Payne K., Kramer E., Techniques for mapping suburban sprawl, Photogram. Eng. Rem. Sens.,63(9), 913–918 (2002)
  11. Biswas Arkoprovo, Jana Adarsa and Sharma Shashi Prakash, Delineation of Groundwater Potential Zones using Satellite Remote Sensing and Geographic Information System Techniques: A Case study from Ganjam district, Orissa, India, Res. J. Recent Sci., 1(9), 59–66 (2012)
  12. Jana Adarsa, Sheena Shamina and Biswas Arkoprovo, Morphological change study of Ghoramara Island, Eastern India using Multi Temporal satellite data, Res. J. Recent Sci., 1(10), 72–81 (2012)
  13. Mayavan N., Sundaram, A., Statistical Analysis for Landslide in Relation to Landuse, InSirumalai Hill, Dindigul District, Tami Nadu, India, using GI Technologies, Res. J. Recent Sci., 1(12), 36–39 (2012)
  14. Mohanty B.K. and Devdas V., Geological mapping of Quartenary formations in Rushikulya river basin in parts of Ganjam District, Orissa, Rec. Geol. Surv. India, 122(3), 5–6 (1989)
  15. Tripathy J K., Panigrahy R C. and Kumar K V., Geological and Geomorphological studies of a part of Ganjam district, Orrisa by remote sensing techniques, Jour. India. Soc. Rem. Sen, 24(3), 169–177 (1996)
  16. ESRI-ArcView GIS, The Geographic Information System for everyone, Environmental Systems Research Institute, USA, (1996)
  17. Magesh N S., Chandrasekar N., Soundranayagam J P., Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques, Geos. Frontiers, 3(2), 189–196 (2012)
  18. Krishnamurthy J., Venkatesa K N., Jayaraman V. and Manivel M., An approach to demarcate ground water potential zones through remote sensing and a geographical information system, Intl. J. Rem. Sen, 7(10), 1867–1884 (1996)
  19. Krishnamurthy J., Arul Mani M., Jayaraman V. and Manivel M., Selection of Sites for Artificial Recharge Towards Groundwater Development of Water Resource in India, Proceeding of the 18th Asian Conference on Remote Sensing, Kuala Lumpur. 20 - 24 October (1997)
  20. Lillesand T M. and Kiefer R W., Remote Sensing and Image Interpretation, Fifth Edition, John Wiley and Sons (Asia) Pte. Ltd, Singapore, 820 (2000)