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卫星反照率产品的多尺度验证与不确定性分析

, PP. 66-82

Keywords: MCD43B3,GLASS02,不确定性分析,验证,遥感,反照率

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Abstract:

?中低分辨率卫星反照率产品反映了局地与全球尺度地表吸收太阳短波辐射的能力,在气候变化与能量平衡研究中具有重要应用.卫星产品的精度通常基于地面观测值进行验证,而中低分辨率卫星反照率产品的验证需面对卫星与地面观测尺度的差异这一难题.引入高分辨率反照率作为尺度转换桥梁是一种常用验证策略,但高分辨率反照率数据本身的误差,以及它与地面观测、中低分辨率产品的互匹配都可能给验证结果带来不确定性.本文验证策略对这些不确定性进行了控制:以不确定性最小原则设计地面采样策略,用地面观测值对30m分辨率反照率(用国产HJ-1a/b卫星数据反演得到)进行了校正,用校正后的30m反照率升尺度后,选择不确定性更小的像元评价中低分辨率反照率的精度.以中国黑河流域中游为研究区开展了对GLASS和MODIS两种1km分辨率反照率产品的验证试验.验证结果表明,尺度转换后的HJ反照率可以精确的检验低分辨率反照率产品的精度,但是必须考虑验证过程中的不确定性,并在验证时排除不确定性过大的像元.

References

[1]  李小文, 王锦地, Strahler A H. 2000. 尺度效应及几何光学模型用于尺度纠正. 中国科学: 技术科学, 30: 12-17
[2]  李新. 2013. 陆地表层系统模拟和观测的不确定性及其控制. 中国科学: 地球科学, 43: 1735-1742
[3]  张仁华, 田静, 李召良, 等, 2010. 定量遥感产品真实性检验的基础与方法. 中国科学: 地球科学, 40: 211-222
[4]  Barnsley M, Hobson P, Hyman A, et al. 2000. Characterizing the spatial variability of broadband albedo in a semidesert environment for MODIS validation. Remote Sens Environ, 74: 58-68
[5]  Buriez J C, Parol F, Poussi Z, et al. 2007. An improved derivation of the top-of-atmosphere albedo from POLDER/ADEOS-2: 2. Broadband albedo. J Geophys Res, 112: D19201, doi: 10.1029/2006JD008257
[6]  Cescatti A, Marcolla B, Santhana Vannan S K, et al. 2012. Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network. Remote Sens Environ, 121: 323-334
[7]  Chen Y M, Liang S, Wang J, et al. 2008. Validation of MISR land surface broadband albedo. Int J Remote Sens, 29: 6971-6983
[8]  Cohen W B, Justice C O. 1999. Validating MODIS terrestrial ecology products: Linking in situ and satellite measurements. Remote Sens Environ, 70: 1-3
[9]  Crosetto M, Tarantola S. 2001. Uncertainty and sensitivity analysis: Tools for GIS-based model implementation. Int J Geogr Inf Sci, 15: 415-437
[10]  Hautec?ur O, Leroy M M. 1998. Surface bidirectional reflectance distribution function observed at global scale by POLDER/ADEOS. Geophys Res Lett, 25: 4197-4200
[11]  Hautecoeur O, Roujean J L. 2007. Validation of POLDER surface albedo products based on a review of other satellites and climate databases, IEEE Trans Geosci Remote Sensing, doi: 10.1109/IGARSS.2007.4423436
[12]  Huang C, Townshend J R G, Liang S, et al. 2002. Impact of sensor''s point spread function on land cover characterization: Assessment and deconvolution. Remote Sens Environ, 80: 203-212
[13]  Jin Y. 2003. Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 2. Validation. J Geophys Res, 108(D5), doi: 10.1029/2002JD002804
[14]  Lewis P, Guanter L, Lopez Saldana G, et al. 2012. The ESA GlobAlbedo Project: Algorithm. Ieee Trans Geosci Remote Sensing, doi: 10.1109/IGARSS.2012.6352306
[15]  Li X, Cheng G, Liu S, et al. 2013. Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific objectives and experimental design. Bull Am Meteorol Soc, 94: 1145-1160
[16]  Li X, Wang Y. 2013. Prospects on future developments of quantitative remote sensing. J Geogr Sci, 68: 1163-1169
[17]  Liang S, Fang H, Chen M, et al. 2002. Validating MODIS land surface reflectance and albedo products: Methods and preliminary results. Remote Sens Environ, 83: 149-162
[18]  Liang S, Zhao X, Liu S, et al. 2013. A long-term global land surface satellite (GLASS) data-set for environmental studies. Int J Digit Earth, 6(Suppl): 5-33
[19]  Liu J, Schaaf C, Strahler A, et al. 2009. Validation of Moderate Resolution Imaging Spectroradiometer (MODIS) albedo retrieval algorithm: Dependence of albedo on solar zenith angle. J Geophys Res, 114(D1), doi: 10.1029/2008JD009969
[20]  Liu N, Liu Q, Wang L, et al. 2012. Mapping spatially-temporally continuous shortwave albedo for global land surface from MODIS data. Hydrol Earth Syst Sci, 9: 9043-9064
[21]  Liu Q, Wang L, Qu Y, et al. 2013. Preliminary evaluation of the long-term GLASS albedo product. Int J Digit Earth, 6: 69-95
[22]  Lucht W, Hyman A H, Strahler A H, et al. 2000. A comparison of satellite-derived spectral albedos to ground-based broadband albedo measurements modeled to satellite spatial scale for a semidesert landscape. Remote Sens Environ, 74: 85-98
[23]  Morisette J T, Baret F, Privette J L, et al. 2006. Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup. Ieee Trans Geosci Remote Sensing, 44: 1804-1817
[24]  Nightingale J, Nickeson J, Justice C, et al. 2008. Global validation of EOS land products, lessons learned and future challenges: A MODIS case study. Available from. In: Proceedings of 33rd International Symposium on Remote Sensing of Environment: Sustaining the Millennium Development Goals, Stresa, Italy
[25]  Qu Y, Liu Q, Liang S, et al. 2014. Direct-estimation algorithm for mapping daily land-surface broadband albedo from MODIS data. Ieee Trans Geosci Remote Sensing, doi: 10.1109/TGRS.2013.2245670
[26]  Román M O, Gatebe C K, Schaaf C B, et al. 2011. Variability in surface BRDF at different spatial scales (30 m-500 m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements. Remote Sens Environ, 115: 2184-2203
[27]  Román M O, Schaaf C B, Woodcock C E, et al. 2009. The MODIS (Collection V005) BRDF/albedo product: Assessment of spatial representativeness over forested landscapes. Remote Sens Environ, 113: 2476-2498
[28]  Román M O, Gatebe C K, Shuai Y, et al. 2013. Use of in situ and Airborne Multiangle Data to Assess MODIS-and Landsat-Based Estimates of Directional Reflectance and Albedo. Ieee Trans Geosci Remote Sensing, 51: 1393-1404
[29]  Rutan D, Rose F, Román M, et al. 2009. Development and assessment of broadband surface albedo from Clouds and the Earth''s Radiant Energy System Clouds and Radiation Swath data product. J Geophys Res, 114(D8), doi: 10.1029/2008JD010669
[30]  Salomon J G, Schaaf C B, Strahler A H, et al. 2006. Validation of the MODIS bidirectional reflectance distribution function and albedo retrievals using combined observations from the aqua and terra platforms. Ieee Trans Geosci Remote Sensing, 44: 1555-1565
[31]  Schaaf C B, Gao F, Strahler A H, et al. 2002. First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sens Environ, 83: 135-148
[32]  Sun C, Liu Q, Wen J. 2013. An algorithm for retrieving land surface albedo from HJ-1 CCD data. Remote Sens Land Resour, 25: 58-63
[33]  Sun C, Sun L, Ma S, et al. 2012. Atmospheric correction method based on HJ-1 CCD data. J Remote Sens, 16: 826-836
[34]  Susaki J, Yasuoka Y, Kajiwara K, et al. 2007. Validation of MODIS albedo products of paddy fields in Japan. Ieee Trans Geosci Remote Sensing, 45: 206-217
[35]  Tan B, Woodcock C, Hu J, et al. 2006. The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions. Remote Sens Environ, 105: 98-114
[36]  Wang K, Liang S, Schaaf C L, et al. 2010. Evaluation of moderate resolution imaging spectroradiometer land surface visible and shortwave albedo products at FLUXNET sites. J Geophys Res, 115: 17107
[37]  Wang K, Liu J, Zhou X, et al. 2004. Validation of the MODIS global land surface albedo product using ground measurements in a semidesert region on the Tibetan Plateau. J Geophys Res, 109: D05107
[38]  Wang Z, Schaaf C B, Chopping M J, et al. 2012. Evaluation of moderate-resolution Imaging Spectroradiometer (MODIS) snow albedo product (MCD43A) over tundra. Remote Sens Environ, 117: 264-280
[39]  Wang Z, Schaaf C B, Strahler A H, et al. 2014. Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and forest surface types during dormant and snow-covered periods. Remote Sens Environ, 140: 60-77
[40]  Wen J, Liu Q, Xiao Q, et al. 2009. Scale effect and scale correction of land-surface albedo in rugged terrain. Int J Remote Sens, 30: 5397-5420
[41]  Wolfe R E, Nishihama M, Fleig A J, et al. 2002. Achieving sub-pixel geolocation accuracy in support of MODIS land science. Remote Sens Environ, 83: 31-49
[42]  Wu H, Li Z L. 2009. Scale issues in remote sensing: A review on analysis, processing and modeling. Sensors, 9: 1768-1793

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