Landcover change detection at tonle Sap, Cambodia, using ALOS PALSAR

Nguyen Van Trung, Jung Hyun Choi, Joong Sun Won

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Water level of the Tonle Sap is greatly influenced by the Mekong River. In order to detect landcover change in Tonle Sap floodplain, fifteen ALOS-PALSAR L-band data were acquired and examined from January 2007 to January 2009. Four methods applied to investigate the landcover change around the lake including grey difference images, correlation coefficient, texture feature difference images and multi-color composite images. Change maps of landcover (44 days interval) extracted from the difference images, coherence maps and texture feature difference images were formed. Two RGB images are also obtained by compositing three images acquired in early rainy season, in the middle of rainy season and at the end of the rainy season in 2007 and 2008. The results indicate that the change maps represent the relationship between vegetation and water level, leaf fall forest, cultivation and harvest crop.

Original languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages929-934
Number of pages6
Publication statusPublished - 2009
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume2

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
CountryChina
CityBeijing
Period09/10/1809/10/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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