Land Surface Albedo Retrieval in the Visible Band in Hefei, China, Based on BRDF Archetypes Using FY-2G Satellite Data

Author:

Han Lu1ORCID,Cai Yi1ORCID,Shi Min2,Xu Qingshan3,Xu Chidong1,Cheng Chen3,Lu Wenqiang45,Shi Jianjun45

Affiliation:

1. Laboratory of Photoelectric Detection, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China

2. Naval Research Institute, Beijing 100161, China

3. Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China

4. Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China

5. Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230031, China

Abstract

Land surface albedo inversion based on satellite data requires multiple consecutive (generally greater than or equal to 7) observations. Due to weather reasons such as cloud occlusion, it is difficult to obtain sufficient observation data, which leads to low inversion accuracy and even unsuccessful inversion. The anisotropic flat index (AFX) index was used to classify the 5-year multiangle observation data set of reflectance and eight bidirectional reflectance distribution function (BRDF) archetypes were obtained in Hefei, Anhui, China. The eight obtained BRDF archetypes in the Hefei area were applied to FY-2G satellite data for land surface albedo retrieval, and the retrieved land surface albedo was compared with MODIS land surface albedo products. The results show that the land surface albedo can be retrieved well using FY-2G data by BRDF archetypes.

Funder

the National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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5. Application of MODIS BRDF/Albedo dataset in the regional temperature simulation of China;Zhang;ACTA Geogr. Sin.,2011

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