Remote sensing techniques to locate ground water potential zones in upper Urmil River Basin, district Chhatarpur — Central India

1998 ◽  
Vol 26 (3) ◽  
pp. 135-147 ◽  
Author(s):  
Pradeep K Jain
Keyword(s):  
Remote Sensing ◽  
Ground Water ◽  
Water Potential ◽  
River Basin ◽  
Central India ◽  
River Basin District ◽  
Remote Sensing Techniques

scholarly journals Identification of ground water recharge potential zones by using remote sensing and geographic information system

2020 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Ballu Harish ◽  
Mahammad Haseena
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Ground Water ◽  
Water Potential ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Gis And Remote Sensing ◽  
Remote Sensing Techniques

<p><strong>Background: </strong>The ground water is the most precious and important resource around the world and is decreasing day by day. In connection, there is a need to bound the potential groundwater zones. The geographical information system (GIS) and remote sensing techniques have become important tools to locate groundwater potential zones.</p><p><strong>Methods</strong>: This research has been carried out to identify ground water potential zones in Nuthankal Mandal with help of GIS and remote sensing techniques. In order to evaluate the ground water potential zones, different thematic maps such as geology, slope, soil, drainage density map, land use and land cover and surface water bodies i.e., lakes and other using remotely-sensed data as well as toposheets and secondary data, collected from concern department. The prepared layers are further used for mapping and identification of ground water potential zones.</p><p><strong>Results</strong>: In this study ground water potential zones are demarked with the help of composite maps, which are generated using GIS tools. The accurate information to obtain the parameters that can be considered for identifying the ground water potential zone such as geology, slope, drainage density and lineament density are generated using the satellite data and survey of India (SOI) Topo-sheets, the groundwater potential zones are classified into five categories like very poor, poor, moderate, good &amp; very good. The use of suggested methodology is demonstrated for a selected study area in Nuthankal Mandal.</p><p><strong>Conclusions</strong>: This groundwater potential information was also used for identification of suitable locations for extraction of water.</p>

scholarly journals Assessment of underground water potential zones using modern geomatics technologies in Jhansi district, Uttar Pradesh, India.

2014 ◽  
Vol XL-8 ◽  
pp. 377-381
Author(s):  
N. K. Pandey ◽  
A. K. Shukla ◽  
S. Shukla ◽  
M. Pandey
Keyword(s):  
Remote Sensing ◽  
Ground Water ◽  
Water Potential ◽  
Satellite Image ◽  
Underground Water ◽  
Landsat Tm ◽  
Geographical Information ◽  
Water Withdrawal ◽  
Groundwater Potential Zone ◽  
Potential Zone

Ground water is a distinguished component of the hydrologic cycle. Surface water storage and ground water withdrawal are traditional engineering approaches which will continue to be followed in the future. The uncertainty about the occurrence, distribution and quality aspect of the ground water and the energy requirement for its withdrawal impose restriction on exploitation of ground water. The main objective of the study is assessment of underground water potential zones of Jhansi city and surrounding area, by preparing underground water potential zone map using Geographical Information System (GIS), remote sensing, and validation by underground water inventory mapping using GPS field survey done along the parts of National Highway 25 and 26 and some state highway passing through the study area. Study area covers an area of 1401 km<sup>2</sup> and its perimeter is approximate 425 km. For this study Landsat TM (0.76&ndash;0.90 um) band data were acquired from GLCF website. Sensor spatial resolution is 30 m. Satellite image has become a standard tool aiding in the study of underground water. Extraction of different thematic layers like Land Use Land Cover (LULC), settlement, etc. can be done through unsupervised classification. The modern geometics technologies viz. remote sensing and GIS are used to produce the map that classifies the groundwater potential zone to a number of qualitative zone such as very high, high, moderate, low or very low. Thematic maps are prepared by visual interpretation of Survey of India topo-sheets and linearly enhanced Landsat TM satellite image on 1 : 50,000 scale using AutoCAD, ArcGIS 10.1 and ERDAS 11 software packages.

scholarly journals Spatial distribution of biophysical parameters in the Ipanema River Basin using remote sensing techniques

2018 ◽  
Vol 7 (6) ◽  
pp. 324
Author(s):  
Jhon Lennon Bezerra da Silva ◽  
Diego Cézar Dos Santos Araújo ◽  
Daniella Pereira Dos Santos ◽  
Alan Cézar Bezerra ◽  
Geber Barbosa De Albuquerque Moura ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
River Basin ◽  
Biophysical Parameters ◽  
Remote Sensing Techniques

scholarly journals Identification of Ground Water Potential Zones Using GIS and Remote Sensing Techniques in the Case of Odiyo Watershed, Ethiopia

2021 ◽  
Author(s):  
Habtamu Deribe ◽  
Dereje Biru Debalke
Keyword(s):  
Ground Water ◽  
Water Potential ◽  
Secondary Data ◽  
Drainage Density ◽  
Weighted Overlay ◽  
Gis And Remote Sensing ◽  
Management And Development ◽  
Gis Environment ◽  
Remote Sensing Techniques ◽  
Very High

Abstract Background: The current study conducted to analysis the bottom water potential zones in Odiyo watershed. The study relies on the secondary data, which is collected from concern department and through internet. Totally nine parameters are consider for the study like drainage density, elevation, geology, geomorphology, land use and land cover, lineaments, rainfall pattern, slope gradient and soil texture. The chosen parameters are prepared and classified in GIS environment, then weightage for every parameter and its classes are assigned using Analytical Hierarchical Process, and eventually, weighted overlay analysis in ArcGIS accustomed discover the result. Results: The result relived that, about 183.87ha (0.613%) areas are having very high, 4846.23ha (16.18%) area are having high, 19229.4 ha (64.19%) having moderate, 5645.7ha (18.855) having low and 48.6ha (0.16%) area are having very low potential of well water. Conclusions: The knowledge on strength of ground water supported ground water zones help in management and development of the groundwater within the study area.

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