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http://dx.doi.org/10.5322/JES.2006.15.4.373

Vegetation Change Detection in the Sihwa Embankment using Multi-Temporal Satellite Data  

Jeong, Jong-Chul (Department of Geoinformatics, Namseoul university)
Suh, Young-Sang (East Sea Fisheries Research Institute, NFRDI)
Kim, Sang-Wook (Land & Urban Institute, Korea Land Corparation)
Publication Information
Journal of Environmental Science International / v.15, no.4, 2006 , pp. 373-378 More about this Journal
Abstract
The western coast of South Korea is famous for its large and broad tidal lands. Nevertheless, land reclamation, which has been conducted on a large scale, such as Sihwa embankment construction project has accelerated coastal environmental changes in the embankment inland. For monitoring of environmental change, vegetation change detecting of the embankment inland were carried out and field survey data compared with Landsat TM, ETM+, IKONOS, and EOC satellite remotely sensed data. In order to utilize multi-temporal remotely sensed images effectively, all data set with pixel size were analyzed by same geometric correction method. To detect the tidal land vegetation change, the spectral characteristics and spatial resolution of Landsat TM and ETM+ images were analyzed by SMA(spectral mixture analysis). We obtained the 78.96% classification accuracy and Kappa index 0.2376 using March 2000 Landsat data. The SMA(spectral mixture analysis) results were considered with comparing of vegetation seasonal change detection method.
Keywords
Sihwa embankment; Spectral mixture analysis; Vegetation change detection; Satellite remote sensing;
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