산림지역 분류를 위한 SPOT-5 및 KOMPSAT-2 영상의 감독분류 적용성

Title
산림지역 분류를 위한 SPOT-5 및 KOMPSAT-2 영상의 감독분류 적용성
Other Titles
Applicability of Supervised Classification for Subdividing Forested Areas Using SPOT-5 and KOMPSAT-2 Data*
Authors
이상훈
Keywords
Satellite imagery analysis; National geographic information; Forest landscape ecology; Forest development; Support vector machine.
Issue Date
2015-04
Publisher
한국환경복원기술학회
Citation
한국환경복원기술학회지, v. 18, NO 2, Page. 89-104
Abstract
In order to effectively manage forested areas in South Korea on a national scale, using remotely sensed data is considered most suitable. In this study, utilizing Land coverage maps and Forest type maps of national geographic information instead of collecting field data was tested for conducting supervised classification on SPOT-5 and KOMPSAT-2 imagery focusing on forested areas. Supervised classification were conducted in two ways: analysing a whole area around the study site and/or only forested areas around the study site, using Support Vector Machine. The overall accuracy for the classification on the whole area ranged from 54.9% to 68.9% with kappa coefficients of over 0.4, which meant the supervised classification was in general considered moderate because of sub-classifying forested areas into three categories (i.e. hardwood, conifer, mixed forests). Compared to this, the overall accuracy for forested areas were better for sub-classification of forested areas probably due to less distraction in the classification. To further improve the overall accuracy, it is needed to gain individual imagery rather than mosaic imagery to use more spetral bands and select more suitable conditions such as seasonal timing. It is also necessary to obtain precise and accurate training data for sub-classifying forested areas. This new approach can be considered as a basis of developing an excellent analysis manner for understanding and managing forest landscape.
URI
http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=HKBOB5_2015_v18n2_89http://hdl.handle.net/20.500.11754/23905
ISSN
1229-3032
DOI
http://dx.doi.org/10.13087/kosert.2015.18.2.89
Appears in Collections:
GRADUATE SCHOOL OF URBAN STUDIES[S](도시대학원) > ETC
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