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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[1]	肖登攀, 陶福禄, Moiwo J P.全球变化下地表反照率研究进展[J].地球科学进展, 2011, 26(11):1217-1224 http://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201111015.htm Xiao Dengpan, Tao Fulu, Moiwo J P. Research Progress on Surface Albedo Under Global Change[J]. Advances in Earth Science, 2011, 26(11):1217-1224 http://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201111015.htm
[2]	刘荣高, 刘洋, 刘纪远. MODIS科学数据处理进展[J].自然科学进展, 2009, 19(2):141-147 doi: 10.3724/SP.J.1047.2016.00564 Liu Ronggao, Liu Yang, Liu Jiyuan. Advances in MODIS Scientific Data Processing[J]. Progress in Natural Science, 2009, 19(2):141-147 doi: 10.3724/SP.J.1047.2016.00564
[3]	Li X, Gao F, Wang J, et al. A Priori Knowledge Accumulation and Its Application Linear BRDF Model Inversion[J]. J Geophys Res, 2001, 106(D11):11925-11936 doi: 10.1029/2000JD900639
[4]	王彦飞, Ma Shiqian, 杨华, 等.带先验约束的地表参数提取的有效反演方法[J].中国科学D辑:地球科学, 2009, 39(3):360-369 http://www.oalib.com/paper/4153214 Wang Yanfei, Ma Shiqian, Yang Hua, et al. On the Effective Inversion by Imposing a Priori Information for Retrieval of Land Surface Parameters[J]. Science in China:Series D Earth Sciences, 2009, 39(3):360-369 http://www.oalib.com/paper/4153214
[5]	崔生成, 杨世植, 乔延利, 等.基于偏差原则和正则化方法反演晴空地表BRDF和反照率[J].武汉大学学报·信息科学版, 2011, 36(4):498-503 http://ch.whu.edu.cn/CN/Y2011/V36/I4/498 Cui Shengcheng, Yang Shizhi, Qiao Yanli, et al. Retrieval of Clear-Sky Land Surface BRDF and Albedo Based on Discrepancy Principle and Regularization Method[J]. Geomatics and Information Science of Wuhan University, 2011, 36(4):498-503 http://ch.whu.edu.cn/CN/Y2011/V36/I4/498
[6]	Qin J, Yan G, Liu S, et al. Application of Ensemble Kalman Filter to Geophysical Parameters Retrieval in Remote Sensing:A Case Study of Kernel-Driven BRDF Model Inversion[J]. Science in China:Series D:Earth Sciences, 2006, 49(6):632-640 doi: 10.1007/s11430-006-0632-x
[7]	陈爱军, 卞林根, 刘玉洁, 等. MODIS反演多云地区地表反照率的一种新方法及其反演试验[J].大气科学, 2007, 31(5):855-862 http://www.cqvip.com/qk/91836X/200705/25381846.html Chen Aijun, Bian Lingen, Liu Yujie, et al. A New Way to Retrieve Surface Albedo over Cloudy Areas with MODIS Data and the Retrieval Experiment[J]. Chinese Journal of Atmospheric Sciences, 2007, 31(5):855-862 http://www.cqvip.com/qk/91836X/200705/25381846.html
[8]	王开存, 王建凯, 王普才, 等.用MODIS反演北京城市地区地表反照率精度以及算法改进[J].大气科学, 2008, 32(1):67-74 http://www.oalib.com/paper/4367960 Wang Kaicun, Wang Jiankai, Wang Pucai, et al. Inversion of Accuracy of MODIS Albedo over Beijing Urban Area and Its Algorithm Improvement[J]. Chinese Journal of Atmospheric Sciences, 2008, 32(1):67-74 http://www.oalib.com/paper/4367960
[9]	崔生成, 杨世植, 乔延利, 等.正则化滤波在反演地表光谱反照率中的应用[J].武汉大学学报·信息科学版, 2012, 37(6):653-657 http://ch.whu.edu.cn/CN/Y2012/V37/I6/653 Cui Shengcheng, Yang Shizhi, Qiao Yanli, et al. Application of Regularized Filtering Technique to Retrieval of Land Surface Spectral Albedo[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6):653-657 http://ch.whu.edu.cn/CN/Y2012/V37/I6/653
[10]	Pokrovsky I, Pokrovsky O, Roujean J L. Land Surface Albedo Retrieval via Kernel-Based BRDF Mo-deling. Part Ⅰ:Statistical Inversion Method and Mo-del Comparison[J]. Remote Sens Environ, 2002, 84:100-119
[11]	Luo Y, Trishchenko A P, Latifovic R, et al. Surface Bidirectional Reflectance and Albedo Properties Derived Using a Land Cover-Based Approach with Moderate Resolution Imaging Spectroradiometer Observations[J]. J Geophys Res, 2005, 110:D01106, doi:10.1029l2004JD004741
[12]	Quaife T, Lewis P. Temporal Constraints on Linear BRF Model Parameters[J]. IEEE Tran Geosci Remote Sens, 2010, 48(5):2445-2450 doi: 10.1109/TGRS.2009.2038901
[13]	Roujean J L, Leroy M, Deschanps P Y. A Bidirectional Reflectance Model of the Earth's Surface for the Correction of Remote Sensing Data[J]. J Geophys Res, 1992, 97:20455-20468 doi: 10.1029/92JD01411
[14]	Tikhonov A. On the Solution of Incorrectly Stated Problems and a Method of Regularization[J]. Dokl Akad Nauk SSSR, 1963, 151:501-504
[15]	Cui S, Yang S, Qiao Y, et al. Adaptive Regularized Filtering for BRDF Model Inversion and Land Surface Albedo Retrieval Based on Spectrum Cutoff Technique[J]. Optik, 2012, 123:250-256 doi: 10.1016/j.ijleo.2011.04.008
[16]	Hansen P, O'Leary D. The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems[J]. SIAM J Sci Comput, 1993, 14(6):1487-1503 doi: 10.1137/0914086
[17]	Cui S, Wang Z, Yang S. Parameterization of Land Surface Albedo[J]. Chin Opt Lett, 2014, 12(11):1-5
[18]	Wang Y, Li X, Nashed Z, et al. Regularized Kernel-Based BRDF Model Inversion Method for Ill-Posed Land Surface Parameter Retrieval[J]. Remote Sens Environ, 2007, 111:36-50 doi: 10.1016/j.rse.2007.03.007

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