Publication:
Using gis and remote sensing to monitor the natural recovery of landslide areas in thailand

dc.contributor.authorPantanahiran W.
dc.date.accessioned2021-04-05T03:37:00Z
dc.date.available2021-04-05T03:37:00Z
dc.date.issued2010
dc.date.issuedBE2553
dc.description.abstractThe worst landslide causing massive destruction occurred in 1988 after being triggered by heavy rainstorms and many more have occurred since. Many researchers have focused their attention to the issue and urgently tried to find ways to prevent the lost of lives and properties if such phenomenon repeats itself. The objective of this study was to monitor the recovery of landslide areas after 20 years (1988-2008). The eight time-series data of LANDSAT imagery dated 1990, 1993, 1994, 1996, 1999, 2002, 2006, and 2007 were used. The Geographic Information System (GIS) and remote sensing (RS) technology were selected as the analytical tools. The changes of the NDVI and Greenness between the satellite images, representing the change of vegetation or land cover, were analyzed. Visual interpretation showed the improvement of the landslide areas. In addition, the quantitative analysis of land cover was calculated. © 2010 Copernicus GmbH. All rights reserved.
dc.format.mimetypeapplication/pdf
dc.identifier.citationGI4DM 2010 Conference - Geomatics for Crisis Management. Vol , No. (2010), p.130-135
dc.identifier.other2-s2.0-84984804004
dc.identifier.urihttps://swu-dspace2.eval.plus/handle/123456789/7649
dc.rights.holderScopus
dc.subject.otherDisaster prevention
dc.subject.otherDisasters
dc.subject.otherLandslides
dc.subject.otherRemote sensing
dc.subject.otherStorms
dc.subject.otherGis and remote sensing
dc.subject.otherGreenness
dc.subject.otherLANDSAT
dc.subject.otherNatural recovery
dc.subject.otherNDVI
dc.subject.otherSatellite images
dc.subject.otherTime-series data
dc.subject.otherVisual interpretation
dc.subject.otherGeographic information systems
dc.titleUsing gis and remote sensing to monitor the natural recovery of landslide areas in thailand
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84984804004&partnerID=40&md5=f231d974a61d6823718b765e1ac5d3e4

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