Estimation of Land Surface Bidirectional Reflectance Distribution Function by Using Airborne POLDER Image Data

概要

論文の詳細を見る
The Bidirectional Reflectance Distribution Function (BRDF) is an intrinsic measurement of directional properties of the earth's surface. However, the estimation of the BRDF requires many remote sensing measurements of a given surface target from different viewing angles. In addition, a good atmospheric correction scheme is a prerequisite for such an attempt. The airborne POLDER sensor measures successively reflected radiation by terrestrial surfaces in a framed image form at different viewing angles during a single airplane pass, like taking snap-shot pictures. A specially improved atmospheric correction algorithm which is applicable to a framed image data by POLDER sensor is presented. The observed reflectance images taken successively by the airborne POLDER at slightly different viewing angles are converted to a series of surface albedo images by applying our atmospheric correction algorithm. Then, the BRDFs for three surface covers, namely, "River Water," "Forest," and "Rice Field," are estimated by using successive albedo images. It is found that the BRDF for "River Water" follows Lambert law at both 550 nm and 850 nm. It is also found that the BRDFs for "Forest" and "Rice Field" follow Lambert's law at 550 nm, but they follow an anisotropic reflection law at 850 nm and fitting parameters for their BRDFs are presented.
社団法人電子情報通信学会の論文
1995-12-25