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An integrated remote sensing approach to landslide susceptibility mapping

Lookup NU author(s): Dr Meredith Williams


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Landslides in Vietnam have been on the increase in the recent years. They have both social and economic impacts. To understand the behaviour of seasonal soil moisture and geological characteristics that influence landslides multi-source satellite image integration has been used. The Eastern part of Caobang province (Vietnam), where intensive landslides occurred during heavy rain in July 2001, has been selected as the study area. This research site matches the requirement of research, namely mountainous area, complex terrain, and land cover typical of a tropical country. A method based on the dielectric mixing model was adopted for mapping soil moisture using Envisat ASAR images, ALI images, and field-measured soil properties. In this model, the effect of vegetation, surface roughness, and soil temperature were taken into account and calculated from satellite images and field measurements. The lithology and linear structures were enhanced and complied by applying wavelet transformations to ASTER and ASAR image. Field descriptions and existing geological maps were used as ancillary data in the image processing evaluation. The results of seasonal soil moisture estimation and geological characteristics were then combined with the existing of landslides to delineate their relationship.

Publication metadata

Author(s): Le TCH, Williams M

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Unknown

Conference Name: RGS-IBG Annual International Conference

Year of Conference: 2005