基于分层线性回归的MODIS反照率产品降尺度方法研究
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摘要
近年来,遥感技术在中小区域的地表能量、热环境、气候研究等领域应用广泛,对高分辨率、高精度的反照率产品需求日益增多。鉴于此,提出了一种基于物理意义的降尺度方法,用于高效、准确地生成高分辨率的反照率结果。首先,假设地表朗伯反射,利用30 m的Landsat 8反射率估算得到Landsat 8初级反照率;然后,在500 m尺度上,发现分类后Landsat 8初级反照率与MCD43A3反照率相关性更好。因此,基于地表分类建立二者的线性回归函数,在MCD43A3基础上,融合30 m高分辨率Landsat 8初级反照率,得到降尺度反照率结果。与MCD43A3反照率相比,该结果提供了丰富的细节信息;利用SURFRAD观测数据的验证实验表明,降尺度反照率结果偏差为-0.01,标准差为0.012,对于不同地表类型具有良好的适用性,这说明该算法对于生产高分辨率反照率产品具有一定的应用价值。
In recent years,remote sensing technology has been widely used in the field of surface energy,thermal environment,and climate research in small and medium-sized regions.The demand for high resolution,high precision albedo products has increased.In view of this,a physical-based downscaling method is proposed for efficiently and accurately generating high-resolution albedo results.First,under the Lambert hypothesis,the primary albedo of Landsat 8 could be obtained based on Landsat 8 reflectance at 30 m resolution.On the 500 m scale,it is found that after classification,the primary albedo of Landsat 8 has a better correlation with the broad-band albedo of MODIS MCD43A3 product.Therefore,a linear regression function based on surface classification is established to integrate the high-resolution primary albedo of Landsat 8 with high-precision MCD43A3 albedo to obtain downscaled albedo.Compared to MODIS albedo,the downscaled albedo provided more rich details.Verification experience based on SURFRAD observation data shows that Bias of the albedo downscaling is 0.01,and standard deviation is 0.012,which has good adaptability for different surface categories.It shows that the algorithm has great application value for producing high-resolution albedo products.
In recent years,remote sensing technology has been widely used in the field of surface energy,thermal environment,and climate research in small and medium-sized regions.The demand for high resolution,high precision albedo products has increased.In view of this,a physical-based downscaling method is proposed for efficiently and accurately generating high-resolution albedo results.First,under the Lambert hypothesis,the primary albedo of Landsat 8 could be obtained based on Landsat 8 reflectance at 30 m resolution.On the 500 m scale,it is found that after classification,the primary albedo of Landsat 8 has a better correlation with the broad-band albedo of MODIS MCD43A3 product.Therefore,a linear regression function based on surface classification is established to integrate the high-resolution primary albedo of Landsat 8 with high-precision MCD43A3 albedo to obtain downscaled albedo.Compared to MODIS albedo,the downscaled albedo provided more rich details.Verification experience based on SURFRAD observation data shows that Bias of the albedo downscaling is 0.01,and standard deviation is 0.012,which has good adaptability for different surface categories.It shows that the algorithm has great application value for producing high-resolution albedo products.
引文
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[35] Jiao Ziti.The Use of MODIS BRDF/Albedo Products to Recover Land Surface Properties[D].Beijing:Beijing Normal University,2008.[焦子锑.应用MODIS BRDF和反照率产品进行地表特性的研究[D].北京:北京师范大学,2008.]
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[37] Zhang Hu,Jiao Ziti,Dong Yadong,et al.Albedo Retrieved from BRDF Archetype and Surface Directional Reflectanc[J].Journal of Remote Sensing,2015,355-367.[张虎,焦子锑,董亚冬,等.利用BRDF原型和单方向反射率数据估算地表反照率[J].遥感学报,2015,355-367.]
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[2] Mira M,Weiss M,Baret F,et al.The MODIS (collection V006) BRDF/albedo product MCD43D:Temporal Course Evaluated Over Agricultural Landscape[J].Remote Sensing of Environment,2015,170(3):216-228.
[3] Dickinson R E.Land Surface Processes and Climate Surface Albedos and Energy-balance[J].Advances in Geophysics,1983,25:305-353.
[4] Schaaf C B,Gao F,Strahler A H,et al.First Operational BRDF,Albedo Nadir Reflectance Products From MODIS[J].Remote Sensing of Environment,2002,83(1):135-148.
[5] Qu Y,Liang S,Liu Q,et al.Mapping Surface Broadband Albedo from Satellite Observations:A Review of Literatures on Algorithms and Products[J].Remote Sensing,2015,7(1):990-1020.
[6] Muller J,López G,Watson G,et al.The ESA GlobAlbedo Project for Mapping the Earth’s Land Surface Albedo for 15 Years from European Sensors[C]//IEEE Geoscience and Remote Sensing Symposium,2012:22-27.
[7] Pan Haizhu,Wang Jian,Li Hongyi.Retrieval Snow Albedo Using MODIS based on the ART Model[J].Remote Sensing Technology and Application,2015,30(6):1059-1065.[潘海珠,王建,李弘毅.基于ART模型的MODIS积雪反照率反演研究[J].遥感技术与应用,2015,30(6):1059-1065.]
[8] Wang Shumo,Hu Yonghong,Wang Shigong,et al.Influence of the Difference of Plant Functional Types on Surface Albedo Variation[J].Remote Sensing Technology and Application,2015,30(5):932-938.[王舒默,胡永红,王式功,等.植被功能型差异对地表反照率时空分布的影响分析[J].遥感技术与应用,2015,30(5):932-938.]
[9] Ma Chunfeng,Wang Weizhen,Wu Yueru,et al.Research on Soil Thermal Inertia Retrieval in Heihe River Basin based on MODIS Data[J].Remote Sensing Technology and Application,2012,27(2):197-207.[马春锋,王维真,吴月茹,等.基于MODIS数据的黑河流域土壤热惯量反演研究[J].遥感技术与应用,2012,27(2):000197-207.]
[10] Chen Aijun,Hu Shengsheng,Bian Lingen,et al.An Assessment on the Accuracy of the Glass Albedo Products over the Tibetan Plateau[J].Acta Meteorologica Sinica,2015(6):1114-1120.[陈爱军,胡慎慎,卞林根,等.青藏高原GLASS地表反照率产品精度分析[J].气象学报,2015(6):1114-1120.]
[11] Qi Wendong,Hong Youtang.Comparison Analysis based on Different Inverse Algorithms of Surface Albedo Products[J].Journal of Remote Sensing,2014,18(3):559-572.[齐文栋,洪友堂.3种反演算法的地表反照率遥感产品对比分析[J].遥感学报,2014,18(3):559-572.]
[12] Wang Lizhao,Zheng Xuechang,Sun Lin,et al.Validation of Glass Albedo Product Through Landsat Tm Data and Ground Measurements[J].Journal of Remote Sensing,2014,18(3):547-558.[王立钊,郑学昌,孙林,等.利用LandsatTM数据和地面观测数据验证GLASS反照率产品[J].遥感学报,2014,18(3):547-558.]
[13] Wang Jian,Sun Lin.Glass Surface Albedo Validation by Using Fluxnet Data[J].Journal of Shang Dong Jian Zhu University,2013,28(1):50-53.[王健,孙林.使用FLUXNET数据验证GLASS地表反照率[J].山东建筑大学学报,2013,28(1):50-53.]
[14] Barnsley M J,Hobson P D,Hyman A H,et al.Characterizing the Spatial Variability of Broadband Albedo In A Semidesert Environment for Modis Validation[J].Remote Sensing of Environment,2000,74:58-68.
[15] Cui Y,Mitomi Y,Takamura T.An Empirical Anisotropy Correction Model for Estimating Land Surface Albedo for Radiation Budget Studies[J].Remote Sensing of Environment,2009,113:24-39.
[16] Dongqin Y,Jianguang W,Qing X,et al.Development of A High Resolution BRDF/Albedo Product by Fusing Airborne Casi Reflectance with Modis Daily Reflectance in the Oasis Area of the Heihe River Basin,China[J].Remote Sensing,2015,7:6784-6807.
[17] Franch B,Vermote E F,Sobrino J A,et al.Retrieval of Surface Albedo on a Daily Basis:Application to MODIS Data[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52:7549-7558.
[18] Han Qijin,Fu Qiaoyan,Pan Zhiqiang,et al.Generation Algrithms and Validation of Hj-1a/B Land Surface Albedo[J].Remote Sensing Information,2013,13-18.[韩启金,傅俏燕,潘志强,等.HJ-1A/B星地表反照率生成算法与检验.遥感信息,2013,13-18.]
[19] Shao Donghang,Li Hongyi,Wang Jian,et al.Retrievel of Snow Albedo based on Muti-source Remote Sensing Data[J].Remote Sensing Technology and Application,2017,32(1):71-77.[邵东航,李弘毅,王建,等.基于多源遥感数据的积雪反照率反演研究[J].遥感技术与应用,2017,32(1):71-77.]
[20] Liao Yao,Lü Daren,He Qing.Intercomparison of Albedo Product Retrieved from MODIS,MISR and POLDER[J].Remote Sensing Technology and Application,2014,29(6):1008-1019.[廖瑶,吕达仁,何晴.MODIS、MISR与POLDER3种全球地表反照率卫星反演产品的比较与分析[J].遥感技术与应用,2014,29(6):1008-1019.]
[21] Liu Jia,Fan Wenyi.Review on BRDF Model and the Inversion Strategy[J].Remote Sensing Technology and Application,2008,23(1):104-110.[刘佳,范文义.BRDF模型及其反演研究的现状及展望[J].遥感技术与应用,2008,23(1):104-110.]
[22] Shang Rong,Liu Ronggao,Liu Yang.Generation of Global Long-term Albedo Product based on the Background Knowledge[J].Journal of Geo-information Science,2015,17(11):1313-1322.[商荣,刘荣高,刘洋.基于背景知识的全球长时间序列反照率反演[J].地球信息科学学报,2015,1313-1322.]
[23] Wu Hongyi,Tong Ling,Chen Yunping.Evaluation of MODIS Shortwave Albedo Products over ChinaFLUX Sites[J].Remote Sensing Technology and Application,2012,27(5):735-739.[吴宏伊,童玲,陈云坪.基于中国通量网的MODIS短波反照率验证与分析[J].遥感技术与应用,2012,27(5):735-739.]
[24] Guo Zhongming,Wang Ninglian,Jiang Xi,et al.Research Progress on Snow and Ice Albedo Measurement,Retrieval and Application[J].Remote Sensing Technology and Application,2013,28(4):739-746.[郭忠明,王宁练,蒋熹等.冰雪反照率测量和反演及其应用研究进展[J].遥感技术与应用,2013,28(4):739-746.]
[25] Liang S L.Narrowband to Broadband Conversions of Land Surface Albedo I Algorithms[J].Remote Sensing of Environment,2001,76:213-238.
[26] Kimes D S,Sellers P J.Inferring Hemispherical Reflectance of the Earth’S Surface for Global Energy Budgets from Remotely Sensed Nadir or Directional Radiance Values[J].Remote Sensing of Environment,1985,18(3):205-223.
[27] Kimes D S,Deering D W.Remote-sensing of Surface Hemispherical Reflectance (albedo) using Pointable Multispectral Imaging Spectroradiometers[J].Remote Sensing of Environment,1992,39:85-94.
[28] Tsay S-C,King M D,Arnold G T.Airborne Spectral Measurements of Surface Anisotropy During Scar-b[J].Journal of Geophysical Research:Atmospheres,1998,103(D24):31943-31953.
[29] Shuai Y,Masek J G,Gao F,et al.An Algorithm for the Retrieval of 30-M Snow-Free Albedo from Landsat Surface Reflectance and MODIS BRDF[J].Remote Sensing of Environment,2011,115:2204-2216.
[30] Gao B,Jia L,Wang T X.Derivation of Land Surface Albedo at High Resolution by Combining HJ-1A/B Reflectance Observations with MODIS BRDF Products[J].Remote Sensing,2014,6:8966-8985.
[31] Schaaf C B,F Gao,A H Strahler,et al.First Operational BRDF,Albedo Nadir Reflectance Products from MODIS[J].Remote Sensing of Environment 2002,83:135-148.
[32] Augustine J,Deluisi J,Long C.Surfrad-A National Surface Radiation Budget Network for Atmospheric Research[J].Bulletin of theAmerican Meteorological Society,2000,81(10):2341-2357.
[33] Cai Erli,Dou Baocheng,Peng Shi,et al.A Study of Albedo Product Downscaling Method based on Image Fusion[J].Remote Sensing Technology and Application,2016,31(4):724-730.[蔡二丽,窦宝成,彭实,等.基于图像融合的反照率产品降尺度方法研究[J].遥感技术与应用,2016,31(4):724-730.]
[34] Strahler A,Dentremont R,Lucht W,et al.The MODIS BRDF/Albedo Product:Prototyping Albedo Retrieval Using AVHRR and GOES[R].1997.
[35] Jiao Ziti.The Use of MODIS BRDF/Albedo Products to Recover Land Surface Properties[D].Beijing:Beijing Normal University,2008.[焦子锑.应用MODIS BRDF和反照率产品进行地表特性的研究[D].北京:北京师范大学,2008.]
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