An algorithm for retrieving land surface albedo from HJ-1 CCD data
SUN Changkui1,2, LIU Qiang2, WEN Jianguang2, LI Dan1, YU Kun1, ZHANG Zonggui1
1. China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing 100101, China
Because of the limitation of band and observation settings,it is difficult to use HJ-1 CCD imagery to retrieve land surface albedo. In this paper,the authors developed a new algorithm for HJ-1 CCD land surface albedo retrieval by introducing POLDER BRDF data as the support. In this algorithm,POLDER-BRDF datasets are used to simulate surface reflectance of HJ-1 CCD four bands and short-wave white/black sky albedo under the conditions of various solar-view geometries and different land cover types (vegetation,bare soil,snow and ice); then land surface albedo estimating model can be calculated under different grids using the Least Squares Fitting method. The input of this algorithm are four bands surface reflectance of HJ-1 CCD camera. Twenty-three HJ-1 CCD images were selected to retrieve land surface albedo using this proposed method. A comparison with measured surface albedo indicates that the error of 21/23 albedos is less than 0.03 in absolute value.
孙长奎, 刘强, 闻建光, 李丹, 于坤, 张宗贵. 基于HJ-1CCD数据的地表反照率反演[J]. 国土资源遥感, 2013, 25(4): 58-63.
SUN Changkui, LIU Qiang, WEN Jianguang, LI Dan, YU Kun, ZHANG Zonggui. An algorithm for retrieving land surface albedo from HJ-1 CCD data. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 58-63.
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2013, Vol. 25 
