An algorithm for retrieving land surface albedo from HJ-1 CCD data

doi:10.6046/gtzyyg.2013.04.10

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Abstract

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.

Keywords Forman algorithm phase correction spectrum reconstruction GPU technology discrete Fourier transform(DFT)

TP75

Issue Date: 21 October 2013

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	MA Lichun
	YANG Renzhong
	SHI Lu

Cite this article:

MA Lichun,YANG Renzhong,SHI Lu. An algorithm for retrieving land surface albedo from HJ-1 CCD data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 58-63.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.04.10 OR https://www.gtzyyg.com/EN/Y2013/V25/I4/58

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