Abstract
Remote sensing data and GIS techniques have been used to create thematic maps for assessment and estimation of landslide hazards, in Pos Slim‐Cameron Highlands area, Peninsula Malaysia. The Landsat TM5 scene was used to extract land use parameter of the study area. The digital elevation model (DEM) was generated from digitised topographic maps to produce slope risk map, aspect risk map and height risk map. From these data, a simple algorithm is created to classify the area into different risk zones. By overlaying all hazard maps, a final hazard map is produced. The integration of GIS with remotely sensed data might greatly facilitate classifying landslide areas to three categories; low risk, medium risk and high risk.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Disaster Prevention and Management: An International Journal
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
