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생태계 서비스 기능평가를 위한 중분류 토지피복지도 산림지역 경계설정 개선 방안Improvement of Forest Boundary in Landcover Classification Map(Level–II) for Functional Assessment of Ecosystem Services

Other Titles
Improvement of Forest Boundary in Landcover Classification Map(Level–II) for Functional Assessment of Ecosystem Services
Authors
전성우김재욱김유훈정휘철이우균김준순
Issue Date
2015
Publisher
한국환경복원기술학회
Keywords
Forest types; Inner boundary; Classification accuracy; Quantitative valuation
Citation
한국환경복원기술학회지, v.18, no.1, pp.127 - 133
Indexed
KCI
Journal Title
한국환경복원기술학회지
Volume
18
Number
1
Start Page
127
End Page
133
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/95607
DOI
10.13087/kosert.2015.18.1.127
ISSN
1229-3032
Abstract
Interests in ecosystem services have increased and a number of attempts to perform a quantitative valuation on them have been undertaken. To classify the ecosystem types landcover classification maps are generally used. However, some forest types on landcover classification maps have a number of errors. The purpose of this study is to verify the forest types on the landcover map by using a variety of field survey data and to suggest an improved method for forest type classifications. Forest types are compared by overlaying the landcover classification map with the 4th forest type map, and then they are verified by using National Forest Inventory, 3rd National Ecosystem Survey and field survey data. Misclassifications of forest types are found on the forest on the forest type map and farm and other grassland on the landcover map. Some errors of forest types occur at Daegu, Busan and Ulsan metropolitan cities and Gangwon province. The results of accuracy in comprehensive classification show that deciduous forest is 76.1%; coniferous forest is 54.0%; and mixed forest is 22.2%. In order to increase the classification accuracy of forest types a number of remote sensing images during various time periods should be used and the survey period of NFI and the National Forest Inventory and National Ecosystem Survey should be consistent. Also, examining areas with wide forest patch should be prioritized during the field survey in order to decrease any errors.
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생명과학대학 (환경생태공학부)
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