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The development of a site suitability map for RBF location using remote sensing and GIS techniques
Mohd Firdaus Abdul Razak1, Md Azlin Md Said2, Rais Yusoh3.
Remote sensing and Geographic Information System (GIS) techniques was used in this study to develop the site suitability map for river bank filtration (RBF) locations based on a case study in Jenderam Hilir, Dengkil. A high resolution 2012 GeoEye-1 satellite image was classified into six classes using the supervised maximum likelihood classification process. The classified image was further analyzed using GIS techniques such as overlaying, buffering and Boolean analysis, to identify the suitability of a RBF location area based on location, distance from the river and distant from built up area. Geology and hydrogeological map were extracted from published maps, which are then converted and integrated into the GIS spatial database. The classified GeoEye-1 results show that the overall accuracy is 89% with kappa statistic of 0.864. The developed site suitability map for RBF locations also in good agreement with the existing borehole location of the study area.
Affiliation:
- Universiti Sains Malaysia, Malaysia
- Universiti Sains Malaysia, Malaysia
- Universiti Sains Malaysia, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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