Regularization-Based Retrieval Method for Surface Reflective Property Parameters

CUI Shengcheng; ZHU Wenyue; YANG Shizhi; LI Xuebin

doi:10.13203/j.whugis20160244

Volume 43 Issue 8

Aug. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(8): 1264-1270. > DOI: 10.13203/j.whugis20160244

CUI Shengcheng, ZHU Wenyue, YANG Shizhi, LI Xuebin. Regularization-Based Retrieval Method for Surface Reflective Property Parameters[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1264-1270. DOI: 10.13203/j.whugis20160244

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Regularization-Based Retrieval Method for Surface Reflective Property Parameters

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

Funds:

The National Natural Science Foundation of China 41305019

the Anhui Provincial Natural Science Foundation 1308085QD70

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Author Bio:
CUI Shengcheng, PhD, associate professor, specializes in the theories and methods of surface reflective property retrieval and applications. E-mail: csc@aiofm.ac.cn
Corresponding author:
LI Xuebin, PhD, associate professor. E-mail: xbli@aiofm.ac.cn
Received Date: April 09, 2017
Published Date: August 04, 2018

Graphical Abstract

Abstract

Abstract

Climate studies at regional and global scales, require accurate descriptions of the light reflecting behaviors of the underlying surfaces at atmospheric boundary layers. A regularized constraint retrieval method is correspondingly proposed for this purpose. The key to the presented method is the determination of the regularization parameter (RP). In order to stabilize the quantitative retrievals of land surface reflective property (SRP) parameters, the optimized RP is obtained via the corner point of the L-curve. Numerical retrieval tests in Beijing-Tianjin-Tangshan region and entropy reduction results suggest that information indices in visible-red and near-infrared channels reach 11.682 2 and 10.072 6; and that the average information indices in these two channels, before and after SRP retrie-vals using L-curve-based regularization (RLC) method, are 0.440 0 and 0.354 6, with the greatest increase reaching 2.467 2 and 2.290 5, respectively. The advantage of the RLC method lies in the independence of the a priori surface parameters knowledge. The RLC method is very effective and useful for the retrievals of surface parameters in the cases of insufficient satellite observations.
- surface reflective properties,
- L-curve,
- regularized inversion,
- quantitative remote sensing

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