대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)

대한원격탐사학회 (Korean Society of Remote Sensing)
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A COMPARISON OF METHOD FOR ESTIMATING FRACTIONAL GREEN VEGETATION COVER DERIVED FROM HYEPRION HYPERSPECTRAL DATA

  • Yoon, Yeo-Sang (Remote Sensing Department, Korea Aerospace Research Institute) ;
  • Kim, Yong-Seung (Remote Sensing Department, Korea Aerospace Research Institute)
  • 발행 : 2006.11.02
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초록

Green vegetation is one of the most critical factors for environment conditions thorough modulating evapotranspiration and absorption of solar radiation. Thus, fractional green vegetation cover (FVC) plays an important role in observing and managing environment. Remote sensing provides a seemingly obvious data source for quantifying FVC over large area. Therefore we compared a set of methods for estimating FVC using hyperspectral remote sensing data. For our study, we used Hyperion imagery acquired in April, 2002. In order to achieve our efforts, we analyzed simple NDVI-based method and spectral mixture analysis (SMA) models that were applied a variety of combinations of possible endmembers.

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