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  • 标题:Hydrogeomorphological Study in Bamanghaty Subdivision of Mayurbhanj District, Odisha an Integrated Remote Sensing and GIS Approach
  • 本地全文:下载
  • 作者:Debabrata Nandi ; Pramod Chandra Sahu ; Shreerup Goswami
  • 期刊名称:International Journal of Geosciences
  • 印刷版ISSN:2156-8359
  • 电子版ISSN:2156-8367
  • 出版年度:2017
  • 卷号:8
  • 期号:11
  • 页码:1361-1373
  • DOI:10.4236/ijg.2017.811079
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:Remote Sensing (RS) and geographic information system (GIS) are now very essential tools for efficient planning and management and handling a range of data simultaneously in a time- and cost-efficient manner for targeting of groundwater, which assists in measuring, monitoring, and conserving groundwater resources. Survey of India toposheets, LISS-III and CARTOSAT DEM satellite imageries are used to prepare various thematic layers viz., geology, slope, lineament, drainage, and geomorphology, and were transformed to raster data using feature to raster conversion tool in ArcGIS spatial analysis, then we reclassify each raster map using reclassify tools. By using weight overlay analysis, each weighted thematic layer is statistically computed to get the ground water potential zones. Then, five different groundwater potential zones were identified, namely “very good”, “good”, “moderate”, “poor”, and “very poor”. The villages under poor groundwater potential zone and the villages under very good groundwater potential zone are finding out. The above study has clearly demonstrated the capabilities of Remote Sensing and GIS in demarcation of the different groundwater potential zones in hard rock terrain.
  • 关键词:HydrogeomorphologyRemote SensingGIS
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