Validation of a New GO Kernel and Inversion of Land Surface Albedo by Kernel.Driven Model (1)[J]. Journal of Remote Sensing, 2000, 4(S1): 7. DOI: 10.11834/jrs.2000S101.
Kernel-driven BRDF model was applied in AMBRALS (algorithm for MODIS land surface BRDF and albedo products). In this paper
we derived a new Geometrical-Optical (GO) kernel-LiTransit-to substitute the LiSparseR kernel
which is currently used in AMBRALS. The new kernel is a natural transition from LiSparse to LiDense kernel "when vegetation become filling the field of view. LiTransit has the advantage of both LiSparse and LiDense
and accords more to the basic concept of GO model. Experimental results of 29 ground measured BRDF data sets show; LiTransit has similar data fitting ability with LiSparseR
but more stability when extrapolated to large zenith angles; comparing with Rossthick-LiSparseR
the combination of RossThick-LiTransit shows more accordance with albedo's downward tendency with respect to increasing sun zenith. Our inversion result with NOAA-AVItR data also suggests that the results derived by RossThick-LiTransit are more robust.
杨华 北京师范大学遥感与GIS研究中心 ; 资源与环境科学系 ; Department of Geography and Center for Remote Sensing ; Boston University 北京100875 ; 北京市重点实验室 ; 环境遥感与数字城市 ; 北京100875 ; ?
相关机构
北京师范大学遥感科学国家重点实验室遥感与地理信息系统研究中心地理学与遥感科学学院
北京师范大学环境遥感与数字城市北京市重点实验室
北京师范大学遥感与GIS研究中心
资源与环境科学系
Department of Geography and Center for Remote Sensing