Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba, JAPAN 263-8522;
ABSTRACT
In order to clarify the contribution of carbon dioxide circulation originated land vegetation, it is quite important to monitor the biomass of the forest. For this purpose, naturally, satellite observation is indispensable. For continent or global scale biomass monitoring by the sensor observe reflected light from the surface, high frequent observation is required. Accordingly, we have to rely on low or mid resolution satellite sensor observed data. Many previous researches suggest the difficulty of estimation method development for forest biomass using simple vegetation indices (VIs) such as NDVI (Normalized Difference Vegetation Index). While these VIs normally has closed relation with vegetation coverage relates to the 2-dimentional information of vegetation’s structure, they don’t have 3-dimentional information that is the quite important information for estimating the biomass.
Last few years, we have developed a forest biomass estimation model for the forest using multi-angle spectrum observation data. For estimating the biomass from multi-angle spectrum observation data, it is require that we should develop the BRF simulator for calculating Bi-directional reflectance for any sun-target-sensor geometry. We have the BRF simulator, called BiRS (Bi-directional Reflectance Simulator), for that pupose.
In this paper, basic concept of BiRS and it’s capability for estimating the BIF in various sun-targe-sensor
