Geological mapping in Kuala Krai and landslide susceptibility assessment using Geospatial Analysis of Remote Sensing and GIS
The research was conducted within Kampung Dusun Durian, Dabong, Kuala Krai, which was approximately 25 km2 using the measurement dimension region of 5 km x 5 km from latitudes 05017’0” N to 05014’30” N and longitudes 101059.7’30” E to 10202.5’30” E. The purpose of this study is to determine the para...
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| Format: | Undergraduate Final Project Report |
| Language: | English |
| Published: |
2021
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| Online Access: | http://discol.umk.edu.my/id/eprint/11795/1/Muhammad%20Afiq%20Abdul%20Kahar.pdf http://discol.umk.edu.my/id/eprint/11795/ |
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| Summary: | The research was conducted within Kampung Dusun Durian, Dabong, Kuala Krai, which was approximately 25 km2 using the measurement dimension region of 5 km x 5 km from latitudes 05017’0” N to 05014’30” N and longitudes 101059.7’30” E to 10202.5’30” E. The purpose of this study is to determine the parameters that are potentially causing landslides and to update the geological map of the study area on the scale of 1:25, 000. Besides, it is conducted to analyze the impact of the landslide in the study area, and come out with landslide susceptibility analysis in the study area using the ArcGIS software. The study area comprises three main geomorphological units: plain geomorphology, sloping geomorphology, and steep geomorphology. Based on the AHP method in the ArcGIS software, landslide susceptibility in the study area was determined. Ten parameters have been chosen to determine the landslide susceptibility: slope, soil moisture, lithology, precipitation, distance to roads, distance to drainages, NDVI, LULC, distance to lineaments, and aspect. The weightage and score for each parameter had been assigned based on the references from the previous study. Ten maps from each of the parameters have been produced. In the end, the landslide susceptibility map of the study area was made by using “AHP ext 2.0” tools inside ArcGIS then evaluate the area under the curve (AUC) to know the accuracy. The calculated success percentage of AUC curve for prediction AHP model is 68.4%. The susceptibility zone was divided into five: the very low zone, low zone, moderate zone, high zone, and very high zone. It was later determined that slope is the most influenced to the landslide hazard because of the study area’s location on the hilly areas. |
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