Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2003.11a
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- Pages.198-200
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- 2003
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- 1226-9743(pISSN)
Method for classification and delimitation of forest cover using IKONOS imagery
- Lee, W.K. (Division of Environmental Science and Ecological Engineering, Korea University) ;
- Chong, J.S. (Division of Environmental Science and Ecological Engineering, Korea University) ;
- Cho, H.K. (Korean Forest Research Institute) ;
- Kim, S.W. (Division of Environmental Science and Ecological Engineering, Korea University)
- Published : 2003.11.03
Abstract
This study proved if the high resolution satellite imagery of IKONOS is suitable for preparing digital forest cover map. Three methods, the pixel based classification with maximum likelihood (PML), the segment based classification with majority principle(SMP), and the segment based classification with maximum likelihood(SML), were applied to classify and delimitate forest cover of IKONOS imagery taken in May 2000 in a forested area in the central Korea. The segment-based classification was more suitable for classifying and deliminating forest cover in Korea using IKONOS imagery. The digital forest cover map in which each class is delimitated in the form of a polygon can be prepared on the basis of the segment-based classification.
Keywords