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dc.contributor.authorWan Nor Azmin Sulaimanen_US
dc.contributor.authorMohd Hafiz Roslien_US
dc.contributor.authorMohd Armi Abu Samahen_US
dc.contributor.authorMohd Khairul Amren_US
dc.date.accessioned2019-05-07T09:59:36Z-
dc.date.available2019-05-07T09:59:36Z-
dc.date.issued2017en_US
dc.identifier.issn0125-2526en_US
dc.identifier.urihttp://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8025en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/63878-
dc.description.abstractLandslide has become a common problem especially in tropical countries such as in Malaysia. This study was carried out in Fraser Hill Catchment using a GIS based deterministic slope stability analysis model, that combine infinite slope stability and steady state hydrology assumptions to quantify the stability called SINMAP. The model requires some inputs. Historical landslide inventory for the catchment were obtained from interpretation of multispectral SPOT 5 image and Global Positioning Survey (GPS) survey. Topographic maps at scale of 1:50,000 were used to construct Digital Elevation Model (DEM). Soil strength parameters and hydrologic parameters were gathered from in situ test as well as previous records. The purposes of this study were to map the landslide susceptibility of Fraser Hill Catchment and to test the usage of different DEM spatial resolution towards the accuracy of the model. Landslide susceptibility map for the study area was produced as the output of this model. The result will be compared with the actual location of slope failure that occur within the catchment to assess the model performance. Results showed that, for this catchment, SINMAP gives good results in predicting the landslide with 68% of the current landslide inventory fall within unstable class as their calculation of Stability Index (SI) are less than 1. Results from the spatial resolution analysis showed that 20 and 30 meter resolution gave optimum result compared to others.en_US
dc.languageEngen_US
dc.publisherScience Faculty of Chiang Mai Universityen_US
dc.titleLandslide Susceptibility Mapping: Effect of Spatial Resolution towards the Prediction of Landslide Prone Area in a Tropical Catchmenten_US
dc.typeบทความวารสารen_US
article.title.sourcetitleChiang Mai Journal of Scienceen_US
article.volume44en_US
article.stream.affiliationsDepartment of Environmental Sciences, Faculty of Environmental Studies, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia.en_US
article.stream.affiliationsSports Academy, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.en_US
article.stream.affiliationsEast Coast Environmental Research Institute, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300, Kuala Terengganu Terengganu, Malaysia.en_US
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