Delineation of groundwater potential zones using remote sensing (RS), geographical information system (GIS) and analytic hierarchy process (AHP) techniques: a case study in the Leylia–Keynow watershed, southwest of Iran

2018 ◽  
Vol 34 (4) ◽  
pp. 1307-1319 ◽  
Author(s):  
H. R. Mohammadi-Behzad ◽  
A. Charchi ◽  
N. Kalantari ◽  
A. Mehrabi Nejad ◽  
H. Karimi Vardanjani
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Analytic Hierarchy Process ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Analytic Hierarchy ◽  
Southwest Of Iran ◽  
Hierarchy Process

Mapping of groundwater potential zones using remote sensing and geographic information system: A case study of parts of Tigray, Ethiopia

2018 ◽  
Vol 25 (4) ◽  
pp. 133-140 ◽  
Author(s):  
Tesfa Gebre ◽  
Imran Ahmad ◽  
Mithas Ahmad Dar ◽  
Edissa Gadissa ◽  
Afera Halefom Teka ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Groundwater Potential ◽  
Geographic Information ◽  
Groundwater Potential Zones ◽  
System A

Mapping of Groundwater potential zones in Lingasugur Taluk in North-eastern part of Karnataka, India using Remote Sensing, GIS and multi-criteria data analysis

2021 ◽  
Vol 14 (12) ◽  
pp. 13-22
Author(s):  
Ajgaonkar Swanand ◽  
S. Manjunatha
Keyword(s):  
Remote Sensing ◽  
Groundwater Resources ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Exploration ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Thematic Maps ◽  
North Eastern

Groundwater research has evolved tremendously as presently it is the need of society. Remote Sensing (RS) and Geographical Information System (GIS) are the main methods in finding the potential zones for the groundwater. They help in assessing, exploring, monitoring and conserving groundwater resources. A case study was conducted to find the groundwater potential zones in Lingasugur taluk, Raichur District, Karnataka State, India. Ten thematic maps were prepared for the study area such as geology, hydrogeomorphology, land use/ land cover, soil type, NDVI, NDWI, slope map, lineament density, rainfall and drainage density. A weighted overlay superimposed method was used after converting all the thematic maps in raster format. Thus from analysis, the classes in groundwater potential were made as very good, moderate, poor and very poor zones covering an area of 10.1 sq.km., 169.25 sq.km., 1732.31 sq.km. and 53.66 sq.km. respectively. By taking the present study into consideration, the future plans for urbanization, recharge structures and groundwater exploration sites can be decided.

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