陆地卫星光学载荷地基自动辐射定标与验证分析
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摘要
针对传统地基辐射定标方法效费比低、单次定标不确定性大,难以满足卫星载荷高频次、高精度辐射定标等问题,发展了一种面向常态化运行需求的光学载荷地基自动辐射定标方法,并基于内蒙古包头附近的科技部"国家高分辨遥感综合定标场"(下简称"包头场")对Landsat-8/OLI相应通道进行了自动辐射定标试验及交叉验证分析,分析结果表明:2016～2017年过境包头场的11次Landsat-8/OLI自动辐射定标结果一致性较好;对于Landsat-8/OLI的蓝、绿、红、近红外4个波段表观反射率,地基自动定标结果与星上结果之间的平均相对偏差分别为0.83%、-0.21%、-0.20%、-1.37%,标准差则分别为2.78%、2.89%、2.94%、2.20%。进一步地,还对地基自动辐射定标过程中各项误差来源进行了量化分析,其在Landsat-8/OLI蓝、绿、红、近红外4个波段的不确定度分别为5.06%、4.65%、4.80%、4.98%。由此可见所发展的地基自动辐射定标方法除了可以很大程度上提升陆地卫星外场定标的频次,定标结果亦具有较好的稳定性与可靠性,对于陆地卫星光学载荷辐射性能的动态监测及数据质量保证具有重要意义。
Due to the low cost-effectiveness and large uncertainty of single calibration for traditional ground-based radiometric calibration methods,it is difficult to meet the requirement ofhigh-precision radiometric calibration of satellite payloads.Aroutinely-operated ground-based automatic radiometric calibration method was developed and applied on radiometric calibration and cross validation analysis of Landsat-8/OLI opticalsensor based on the "National Calibration and Validation Site for High Resolution Remote Sensors"(hereinafter referred to as the "Baotou Site") in Baotou.The comparison of 11 observation results(from May 2016 to April 2017) between on-board calibration and ground-based calibrationare in good agreement:for the four bands of blue,green,red and near infrared,the average relative deviation between ground-based calibration and on-board calibration was 0.83%,-0.21%,-0.20%,and-1.37%,respectively,while the standard deviation was 2.78%,2.89%,2.94%,and 2.20%,respectively.Further,quantitative analyses on the sources of errors in the process of ground-based automatic radiometric calibration was conducted.The results showed that the final uncertainties of ground-based automatic radiometric calibration in the four bands of blue,green,red,and near infrared were 5.06%,4.65%,4.80%,and 4.98%,respectively.Good consistency between ground-based calibration and on-board calibration proved the reliability of this method,which can dramatically promote the frequency and timeliness of satellite radiometric calibration.
Due to the low cost-effectiveness and large uncertainty of single calibration for traditional ground-based radiometric calibration methods,it is difficult to meet the requirement ofhigh-precision radiometric calibration of satellite payloads.Aroutinely-operated ground-based automatic radiometric calibration method was developed and applied on radiometric calibration and cross validation analysis of Landsat-8/OLI opticalsensor based on the "National Calibration and Validation Site for High Resolution Remote Sensors"(hereinafter referred to as the "Baotou Site") in Baotou.The comparison of 11 observation results(from May 2016 to April 2017) between on-board calibration and ground-based calibrationare in good agreement:for the four bands of blue,green,red and near infrared,the average relative deviation between ground-based calibration and on-board calibration was 0.83%,-0.21%,-0.20%,and-1.37%,respectively,while the standard deviation was 2.78%,2.89%,2.94%,and 2.20%,respectively.Further,quantitative analyses on the sources of errors in the process of ground-based automatic radiometric calibration was conducted.The results showed that the final uncertainties of ground-based automatic radiometric calibration in the four bands of blue,green,red,and near infrared were 5.06%,4.65%,4.80%,and 4.98%,respectively.Good consistency between ground-based calibration and on-board calibration proved the reliability of this method,which can dramatically promote the frequency and timeliness of satellite radiometric calibration.
引文
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[17] Ma L L,Zhao Y G,Woolliams E R,et al.Uncertainty Analysis of the Automated Radiometric Calibration over Baotou Calibration and Validation Site in China[C]//RAQRS 2017-Recent Advance in Quantitative Remote Sensing,2017.
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[2] Gao Hailiang,Gu Xingfa,Yu Tao,et al.The Research Overview on Visible and Near-infrared Channels Radiometric Calibration of Space-borne Optical Remote Sensors[J].Remote Sensing Information,2010(4):117-128.[高海亮,顾行发,余涛等.星载光学遥感器可见近红外通道辐射定标研究进展[J].遥感信息,2010(4):117-128.]
[3] Czapla-Myers J S,Thome K J,Leisso N P.Radiometric Calibration of Earth-observing Sensors Using an Automated Test Site at Railroad Valley,Nevada[J].Canadian Journal of Remote Sensing,2010,36(5):474-487.
[4] Santer R P,Meygret A.Automatic Ground-based Station for Vicarious Calibration[J].Proceedings of SPIE -The International Society for Optical Engineering,1997,3221:309-317.
[5] Li Xin,Zheng Xiaobing,Yin Yapeng.Progress in Automated Site Vicarious Calibration Technologies[J].Journal of Atmospheric and Environmental Optics,2014,9(1):17-21.[李新,郑小兵,尹亚鹏.场地自动化定标技术进展[J].大气与环境光学学报,2014,9(1):17-21.]
[6] Lv Jiayan,He Mingyuan,Chen Lin,et al.Automated Radiation Calibration Method based on Dunhuang Radiometric Calibration Site[J].Acta Optica Sinica,2017,37(8):18-25.[吕佳彦,何明元,陈林,等.基于敦煌辐射校正场的自动化辐射定标方法[J].光学学报,2017,37(8):18-25.]
[7] Hu X,Liu J,Sun L,et al.Characterization of CRCS Dunhuang Test Site and Vicarious Calibration Utilization for Fengyun (FY) Series Sensors[J].Canadian Journal of Remote Sensing,2010,36(5):566-582.
[8] Chen L,Zhang P,Lv J,et al.Radiometric Calibration Evaluation for RSBs of Suomi-NPP/VIIRS and Aqua/MODIS based on the 2015 Dunhuang Chinese Radiometric Calibration Site in Situ Measurements[J].International Journal of Remote Sensing,2017,38(20):5640-5656.
[9] Han Qijin,Ma Lingling,Liu Li et al.On-Orbit Calibration and Evaluation of GF-2 Satellite based on Wide Dynamic Ground Targetp[J].Acta Optica Sinica,2015,35(7):1-8.[韩启金,马灵玲,刘李等.基于宽动态地面目标的高分二号卫星在轨定标与评价[J].光学学报,2015,35(7):1-8.]
[10] Liu Y,Li C,Ma L,et al.An Automatic Reflectance-based Approach to Vicarious Radiometric Calibrate the Landsat 8 Operational Land Imager[C]//IGARSS 2017-2017 IEEE International Geoscience and Remote Sensing Symposium,IEEE,2017:4699-4702.
[11] Rad Cal Net Portal:https://www.radcalnet.org.
[12] Biggar S F,Gellman D I,Slater P N.Improved Evaluation of Optical Depth Components from Langley Plot Data[J].Remote Sensing of Environment,1990,32(2):91-101.
[13] Markham B L,Dabney P W,Reuter D,et al.Landsat Data Continuity Mission Operational Land Imager and Thermal Infrared Sensor Performance[C]//Proceedings of SPIE-The International Society for Optical Engineering,2011:8153.
[14] Thome K,Palluconi F,Takashima T,et al.Atmospheric Correction of ASTER[J].IEEE Transactions on Geoscience & Remote Sensing,1998,36(4):1199-1211.
[15] Dinguirard M,Slater P N.Calibration of Space-Multispectral Imaging Sensors:A Review[J].Remote Sensing of Environment,1999,68(3):194-205.
[16] Li C R,Tang L L,Ma L L,et al.A Comprehensive Calibration and Validation Site for Information Remote Sensing[J].International Archives of the Photogrammetry Remote Sensing & S,2015,XL-7/W3(7):1233-1240.
[17] Ma L L,Zhao Y G,Woolliams E R,et al.Uncertainty Analysis of the Automated Radiometric Calibration over Baotou Calibration and Validation Site in China[C]//RAQRS 2017-Recent Advance in Quantitative Remote Sensing,2017.
[18] USGS.Landsat 8(L8) Data Users Handbook[R].2016.
[19] Prospero J M.The Ground-based Absolute Radiometric Calibration of Landsat 8 OLI[J].Remote Sensing,2015,7(1):600-626.