Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)

  • Volume 1
  • /
  • Pages.239-242
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  • 2006
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  • 1226-9743(pISSN)
Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지

IMPERVIOUS SURFACE ESTIMATION USING REMOTE SENSING IMAGES AND TREE REGRESSIOIN

  • Kim, Soo-Young (The department of Civil and Environment Engineering, Yonsei University) ;
  • Kim, Jong-Hong (The department of Civil and Environment Engineering, Yonsei University) ;
  • Heo, Joon (The department of Civil and Environment Engineering, Yonsei University) ;
  • Heo, Jun-Haeng (The department of Civil and Environment Engineering, Yonsei University)
  • Published : 2006.11.02
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Abstract

Impervious surface is an important index for the estimation of urbanization and environmental change. In addition, impervious surface has an influence on the parameters of rainfall-runoff model during rainy season. The increase of impervious surface causes peak discharge increasing and fast concentration time in urban area. Accordingly, impervious surface estimation is an important factor of urban rainfall-runoff model development and calibration. In this study, impervious surface estimation is performed by using remote sensing images such as landsat-7 ETM+ and high resolution satellite image and regression tree algorithm based on case study area ? Jungnang-cheon basin in Korea.

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