Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2003.11a
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- Pages.175-177
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- 2003
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- 1226-9743(pISSN)
Identification of riparian vegetation using Spectral Mixture Analysis of multi-temporal Landsat Imagery
- Kim, Sang-Wook (Graduate School of Environmental Studies, Seoul National University) ;
- Park, Chong-Hwa (Graduate School of Environmental Studies, Seoul National University)
- Published : 2003.11.03
Abstract
To monitor riparian wetlands as one of complex natural ecosystems using remotely sensed data, we need to concurrently consider vegetation, soil and water which constitute complicated wetland ecosystems. To identify riparian distribution we adopted linear Spectral Mixture Analysis in order to improve identification accuracy of riparian areas. This study has indicated that linear SMA adopting tasseled cap endmember selection is an enhanced routine for Identification of riparian wetlands and phenologically autumn imagery is more appropriate to detect riparian vegetation in the Paldang water catchment area.
Keywords