DocumentCode
3493670
Title
Sustainable groundwater potential zone using remote sensing and GIS
Author
Nadun, Siti Nor Eliza Mohd ; Maarof, Ismail ; Ghazali, Rosmadi ; Samad, Abd Manan ; Adnan, Ramli
Author_Institution
Fac. of Archit., Planning & Surveying, Univ. Teknol. MARA (UiTM) Malaysia, Shah Alam, Malaysia
fYear
2010
fDate
21-23 May 2010
Firstpage
1
Lastpage
6
Abstract
Groundwater is hardly and almost not possible to be seen directly from the earth´s surface. Geological methods, involving interpretation of geologic data and field reconnaissance, represent an important early step in groundwater investigation. Remote sensing data from aircraft or satellite has become an increasing valuable tool for understanding subsurface water condition. They are particularly useful, very detailed and also show up features which cannot be seen easily on the ground. The various surfacial parameters prepared from remotely sensed data and ancillary data can be integrated and analyzed through GIS to predict the groundwater potential zone. In order to predict the groundwater potential zones, different thematic maps have been prepared which includes annual rainfall distribution, land use, lithology, lineament density, topography elevation, slope steepness, drainage density and soil type. Based on several studies on determining the suitable method to classify the groundwater zone, integrated assessment of thematic maps using a model developed based on GIS techniques is the most suitable method for groundwater potential zones prediction.
Keywords
geographic information systems; groundwater; remote sensing; topography (Earth); Malaysia; ancillary data; annual rainfall distribution; drainage density; geographic information systems; groundwater potential zone; land use; lineament density; lithology; remote sensing; slope steepness; soil type; subsurface water condition; topography elevation; Aircraft; Geographic Information Systems; Geology; Predictive models; Reconnaissance; Remote sensing; Satellites; Signal processing; Soil; Surface topography; GIS; Groundwater; Remote Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on
Conference_Location
Mallaca City
Print_ISBN
978-1-4244-7121-8
Type
conf
DOI
10.1109/CSPA.2010.5545333
Filename
5545333
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