FY-3/VIRR及MERSI与EOS/MODIS植被指数比较与差异原因分析
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摘要
为了论证FY-3/VIRR、FY-3/MERSI及EOS/MODIS影像之间协同反演的可行性,这些数据生成植被指数间的比较来说明。选取2012年覆盖黑河上游附近的多对同日过境的晴空数据,利用统计方法对比分析了FY-3/VIRR、FY-3/MERSI与EOS/MODIS的归一化植被指数。结果表明:FY-3/VIRR和FY-3/MERSI的NDVI与EOS/MODIS存在显著的相关性,相关系数均超过0.99;但3种数据所生成的NDVI也存在显著的差异。对引起NDVI差异的原因进行了详细分析,发现光谱响应函数、大气水汽、辐射定标、观测角度等都会对植被指数产生一定的影响;这些分析可以为以后多源遥感数据协同反演提供参考。
In order to demonstrate the feasibility of cooperative inversion of the vegetation indexes between FY-3/VIRR,FY-3/MERSI and EOS/MODIS,the NDVI from these data was compared.The authors selected 2012year's data of FY-3/VIRR,FY-3/MERSI and EOS/MODIS which is covering the upstream of the Heihe and less cloudiness.The statistical method was used to study correlation of NDVI from the selected data.The result shows that there are significant correlations of NDVI from the data of FY-3/VIRR,FY-3/MERSI and EOS/MODIS,and all the correlation coefficients exceeded 0.99.But significant differences are also exist between these data.The causes of NDVI differences were analyzed in detail,and found that spectral response function,atmospheric water vapor,radiometric calibration,viewing angle have a certain impact on vegetation index.These analyzes can provide a reference for cooperative inversion of multisource remote sensing data.
In order to demonstrate the feasibility of cooperative inversion of the vegetation indexes between FY-3/VIRR,FY-3/MERSI and EOS/MODIS,the NDVI from these data was compared.The authors selected 2012year's data of FY-3/VIRR,FY-3/MERSI and EOS/MODIS which is covering the upstream of the Heihe and less cloudiness.The statistical method was used to study correlation of NDVI from the selected data.The result shows that there are significant correlations of NDVI from the data of FY-3/VIRR,FY-3/MERSI and EOS/MODIS,and all the correlation coefficients exceeded 0.99.But significant differences are also exist between these data.The causes of NDVI differences were analyzed in detail,and found that spectral response function,atmospheric water vapor,radiometric calibration,viewing angle have a certain impact on vegetation index.These analyzes can provide a reference for cooperative inversion of multisource remote sensing data.
引文
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[19]Hu Shunshi,Zhang Lifu,Zhang Xia,et al.Calculation and Reliability Analysis of Satellite Sensors Band Solar Irradiance[J].Remote Sensing for Land&Resources,2012,(3):97-102.[胡顺石,张立福,张霞,等.卫星传感器波段平均太阳辐照度计算及可靠性分析[J].国土资源遥感,2012,(3):97-102.]
[20]Zhang Jie,Guo Ni,Wang Jiemin.Contrast and Calibration of Remote Sensing Production NDVI of NOAA/AVHRR and EOS/MODIS[J].Plateau Meteorology,2007,26(5):1097-1014.[张杰,郭铌,王介民.NOAA/AVHRR与EOS/MODIS遥感产品NDVI序列的对比及其校正[J].高原气象,2007,26(5):1097-1104.]
[21]Liu Liangming,Liang Yitong,Ma Huiyun,et al.Relationship Research between MODIS-NDVI and AVHRR-NDVI[J].Geomatics and Information Science of Wuhan University,2004,29(4):307-310.[刘良明,梁益同,马慧云,等.MODIS和AVHRR植被指数关系的研究[J].武汉大学学报·信息科学版,2004,29(4):307-310.]
[22]Yang Aixia.The Study of Cross-calibration for Moderate and Low Resolution Remote Sensing Satellites Data based on MODIS[D].Chongqing:Chongqing University of Posts and Telecommunications,2014.[杨爱霞.基于MODIS的中低分辨率数据交叉辐射定标技术研究[D].重庆:重庆邮电大学,2014.]
[2]Zhang Yonghong,Ren Wei,Cao Ting,et al.Method of Snow Multi-threshold Comprebensive Discrimination with FY-3NIRR Data[J].Remote Sensing Technology and Application,2015,30(6):1076-1084.[张永宏,任伟,曹庭,等.FY-3NIRR资料积雪多阈值综合判识方法研究[J].遥感技术与应用,2015,30(6):1076-1084.]
[3]Yang Jun,Dong Chaohua,Lu Naimeng,et al.FY-3A,The New Generation Polar-orbiting Meteorological Satellite of China[J].Acta Meteorologica Sinica,2009,67(4):501-509.[杨军,董超华,卢乃锰,等.中国新一代极轨气象卫星—风云三号[J].气象学报,2009,67(4):501-509.]
[4]Wang Jing,Guo Ni.Comparisons of Terra and Aqua MODIS in Band Reflectance and Vegetation Index[J].Chinese Journal of Ecology,2008,27(10):1711-1717.[王静,郭铌.Terra MODIS和Aqua MODIS波段反射率及植被指数比较[J].生态学杂志,2008,27(10):1711-1717.]
[5]Kiage L M,Walker N D.Using NDVI from MODIS to Monitor Duckweed Bloom in Lake Maracaibo,Venezuela[J].Water Resources Management,2009,23(6):1125-1135.
[6]Lahet F,Stramski D.MODIS Imagery of Turbid Plumes in San Diego Coastal Waters During Rainstorm Events[J].Remote Sensing of Environment,2010,114(2):332-344.
[7]Zhang Xueyi.Introduction of Several Vegetation Indices based on EOS/MODIS[J].Journal of Anhui Agricultural Sciences,2009,37(26):12842-12845,12850.[张学艺.基于EOS/MODIS的几种植被指数[J].安徽农业科学,2009,37(26):12842-12845,12850.]
[8]Wang Zhengxing,Suo Yuxia,Lin Xin,et al.Advances in AVHRR Global Time Serials:PAL-GIMMS-LTDR[J].Resources Science,2008,30(8):1252-1260.[王正兴,索玉霞,林昕,等.AVHRR全球时间序列研究进展:PAL-GIMMS-LTDR[J].资源科学,2008,30(8):1252-1260.]
[9]Yoshioka H,Miura T,Huete A R,et al.Analysis of Vegetation Isolines in Red-NIR Reflectance Space[J].Remote Sensing of Environment,2000,74(2):313-326.
[10]Goward S N,Markham B,Dye D G,et al.Normalized Difference Vegetation Index Measurements from the Advanced Very High Resolution Radiometer[J].Remote Sensing of Environment,1991,35(2-3):257-277.
[11]Feng Rui,Ji Ruipeng,Wu Jinwen,et al.Analysis on Difference between FY-3/MERSI-NDVI and EOS/MODIS-NDVI[J].Chinese Agricultural Science Bulletin,2010,26(19):359-362.[冯锐,纪瑞鹏,武晋雯,等.FY3/MERSI和EOS/MODIS归一化植被指数差异分析[J].中国农学通报,2010,26(19):359-362.]
[12]Guo Ni.Vegetation Index and Its Advances[J].Arid Meteorology,2003,21(4):71-75.[郭铌.植被指数及其研究进展[J].干旱气象,2003,21(4):71-75.]
[13]Feng Lu,Yue Depeng,Guo Xiang.A Review on Application of Normal Different Vegetation Index[J].Forest Inventory and Planning,2009,34(2):48-52.[冯露,岳德鹏,郭祥.植被指数的应用研究综述[J].林业调查规划,2009,34(2):48-52.]
[14]Yuan Zhengwu,Yang Aixia,Zhong Bo.Cross Comparison of the Vegetation Indexes between Landsat TM and HJ CCD[J].Remote Sensing for Land&Resources,2015,27(1):87-91.[袁正午,杨爱霞,仲波.Landsat TM与HJ CCD影像植被指数的交互比较[J].国土资源遥感,2015,27(1):87-91.]
[15]Xu Hanqiu,Zhang Tiejun.Cross Comparison of ASTER and Landsat ETM+Multispectral Measurements for NDVI and SAVI Vegation Indices[J].Spectros Copy and Spectral Analysis,2011,31(7):1902-1907.[徐涵秋,张铁军.ASTER与Landsat ETM+植被指数的交互比较[J].光谱学与光谱分析,2011,31(7):1902-1907.]
[16]Zhu Biqin,Huang Shue,Chen Xingjuan,et al.Monitoring of Rice Growth based on FY3B/MERSI with AQUA/MODIS Data Contrastive Analysis[J].Acta Agriculturae Universitatis Jiangxiensis,2014,36(5):1009-1015.[祝必琴,黄淑娥,陈兴鹃,等.基于FY3B/MERSI水稻长势监测及其与AQUA/MODIS数据对比分析[J].江西农业大学学报,2014,36(5):1009-1015.]
[17]Shi Jian,Liu Qinhuo,Wen Jianguang,et al.Design and Realization of the Service Platform for Typical Ground Objects Spectrum Data in China based on E-government[J].Remote Sensing Technology and Application,2011,26(4):520-526.[施健,柳钦火,闻建光,等.面向电子政务的全国典型地物波谱数据服务平台设计与实现[J].遥感技术与应用,2011,26(4):520-526.]
[18]Wei Wei,Wu Wenbin,Zhou Qingbo,et al.Analysis and Calibration of Spectral Response Difference Effects on Measured NDVI with Separate Satellite Sensors[J].Remote Sensing Information,2015,30(4):91-98.[卫炜,吴文斌,周清波.传感器光谱响应差异对NDVI的影响[J].遥感信息,2015,30(4):91-98.]
[19]Hu Shunshi,Zhang Lifu,Zhang Xia,et al.Calculation and Reliability Analysis of Satellite Sensors Band Solar Irradiance[J].Remote Sensing for Land&Resources,2012,(3):97-102.[胡顺石,张立福,张霞,等.卫星传感器波段平均太阳辐照度计算及可靠性分析[J].国土资源遥感,2012,(3):97-102.]
[20]Zhang Jie,Guo Ni,Wang Jiemin.Contrast and Calibration of Remote Sensing Production NDVI of NOAA/AVHRR and EOS/MODIS[J].Plateau Meteorology,2007,26(5):1097-1014.[张杰,郭铌,王介民.NOAA/AVHRR与EOS/MODIS遥感产品NDVI序列的对比及其校正[J].高原气象,2007,26(5):1097-1104.]
[21]Liu Liangming,Liang Yitong,Ma Huiyun,et al.Relationship Research between MODIS-NDVI and AVHRR-NDVI[J].Geomatics and Information Science of Wuhan University,2004,29(4):307-310.[刘良明,梁益同,马慧云,等.MODIS和AVHRR植被指数关系的研究[J].武汉大学学报·信息科学版,2004,29(4):307-310.]
[22]Yang Aixia.The Study of Cross-calibration for Moderate and Low Resolution Remote Sensing Satellites Data based on MODIS[D].Chongqing:Chongqing University of Posts and Telecommunications,2014.[杨爱霞.基于MODIS的中低分辨率数据交叉辐射定标技术研究[D].重庆:重庆邮电大学,2014.]