衛星データを対象としたBRFモデルを用いた草地植生の草丈算出に関する研究

抄録

It is important that understand BRF (Bi-directional Reflectance Factor) effect of ground reflectance for vegetation monitoring. BRF model proposed by Watanabe et al. (1996) has the characteristics of expression by ground based data and Sun-Target-Sensor geometry. Therefore, it may be able to estimate grass height by using multi-channel satellite sensor data, which has wide swath (ex. ADEOS OCTS (Ocean Color and Temperature Scanner), EOS-AM1 MODIS (Moderate Resolution Imaging Spectroradiometer) ) . The aim of this study is to develop the algorithm of estimation of grass height by using BRF model, which is expressed by polynomial equation. The results show that vegetation height estimated by BRF model has high accuracy, and also we confirmed that our proposed algorithm is useful for estimating vegetation height.