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MODIS 위성영상을 이용한 임상정보의 추출

Extraction of Forest Type Information from MODIS Satellite Imagery

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  • URLhttps://db.koreascholar.com/Article/Detail/320013
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한국자연보호학회지 (Korean Journal of Nature Conservation)
한국자연보호학회 (Korean Journal of Nature Conservation)
초록

Recently, satellite image data has been widely used in various fields. Extraction of forest information is the field which has great application possibility. Forest type information can be used in forecasting and simulating soil erosion, landslides and debris flow as an important influence factor. Application of satellite imagery has advantages to obtain latest forest type information. NDVI calculated from near infra red band of satellite imagery represents vegetation activity, with seasonal difference of it forest type can be classified. In this study, we analyzed MODIS imagery from 2011 years to 2013 years in Gangwon-do where forest area is large and classified forest type with coniferous and deciduous forests. As a result, there was high correlation between forest type of digital map and it classified from NDVI. The possibility for extraction of forest type information from satellite imagery was confirmed.

저자
  • 김기홍(강릉원주대학교 토목공학과) | Gihong Kim
  • 김동민(강릉원주대학교 토목공학과) | Dongmin Kim Corresponding Author