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008 151123t2015 my da f abm 000 0 eng d
020 _aTHE0000799(Local)
039 9 _a201905161420
_bnazirah
_y201511231107
_zasma
040 _aUMP
090 _aFKASA .Y87 2015 r Bc.
100 0 _aYusrina Mhamd Azizmy
245 1 0 _aLandslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands /
_cYusrina Mhamd Azizmy
260 _aKuantan, Pahang :
_bUMP,
_c2015
300 _axiii, 48 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD ROM
500 _aFaculty of Civil Engineering and Earth Resources
502 _aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015
504 _aBibliography : p. 47-48
520 3 _aThis paper presents landslide susceptibility analysis around the Cameron Highlands area, Malaysia using a geographic information system (GIS) and remote sensing techniques. Topographical, geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Five landslide occurrence factors were selected as: topographic slope, topographic aspect, rainfall, geology map and land use from satellite images. Previous records of landslides in the study area were mapped based on inventory reports and satellite image processing. Landslide susceptibility map was then generated based on logistic regression equation in a raster GIS environment and classified in five susceptibility classes. The classes are divided into the study area has very low landslide susceptibility, low susceptibility, moderate susceptibility, high susceptibility and very high susceptibility. About 99.978% of the study area has very low landslide susceptibility, 0.003% has low susceptibility, 0.002% has moderate susceptibility, 0.001 % has high susceptibility and 0.015% has very high susceptibility
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
999 _aVIRTUA40
_c6070
_d6076
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*9992