earticle

논문검색

Detection of land use change area using object-based classification with the remote sensing

초록

영어

This study detected land use change using Landsat satellite image and calculated landscape index to confirm fragmentation of forest land. The land cover classification items were classified into forest land, cropland, grassland, wetlands, and settlements by referring to IPCC guidelines, and the land cover classification was used by object-based classification technique. The landscape structure analysis of land cover change was performed using five landscape index (NumP, MPS, TD, ED, AWMSI). The optimal weights for object-based classification were scale 7, Shape 0.4, Color 0.6, Compactness 0.5, Smoothness 0.5. The change of land cover was increased in the settlement area in 2009 compared to 1989 and decreased in cropland and forest land. The change of landscape index decreased NumP of cropland and forest land in 2009 compared to 1989, but TD and ED increased. This is because the settlement increased, and the cropland and forest land decreased and fragmentation progressed. In conclusion, object analysis is an effective method to confirm change detection and fragmentation, and it is expected to be used for the cause analysis of forest land fragmentation in the future.

저자정보

  • Byeong-Min Lim Department of Forest management, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon-Si, 24341, Republic of Korea
  • Jung-Soo Lee Department of Forest management, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon-Si, 24341, Republic of Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      0개의 논문이 장바구니에 담겼습니다.