HJ-1A/B CCD与Landsat TM/ETM+植被指数的交互比较
|
摘要
利用5对同日过境的HJ-1A/B CCD和Landsat TM/ETM+影像对,研究了二者植被指数(NDVI、SAVI、EVI)之间的定量关系。选用其中的3对影像对作为实验影像,通过对均匀同质实验区对应的植被指数进行回归分析求出二者之间的转换方程,用未参与实验的2对影像对来验证所求转换方程的有效性,并对二者植被指数之间的差异进行了分析。结果表明:两种传感器对应的植被指数之间存在极显著的线性正相关关系,所求的转换方程具有较高的精度,可以利用转换方程将两种传感器的植被指数进行互为转换,有利于二者植被监测结果的互为补充,而两种传感器在光谱响应函数上的不同造成了二者植被指数间存在差异。
The useful information provided by a single satellite is often not sufficient,for the use of multiresolution sensors from different satellites,we examined how well HJ-1A / B CCD sensor vegetation observations replicate Landsat TM / ETM+ vegetation observations.The study investigates the quantitative relationship between the vegetation indices of HJ-1A / B CCD and Landsat TM / ETM+sensors,and more important,the difference in the vegetation observations between the two sensors.Three vegetation indices(the Normalized Difference Vegetation Index(NDVI),the Soil Adjusted Vegetation Index(SAVI) and the Enhanced Vegetation Index(EVI)) were calculated from both HJ-1A / B CCD and Landsat TM / ETM+reflectance data.The quantitative relationship was revealed through regression analysis on the scatter plots of the vegetation index values for the same target of the two sensors based on three tandem images pairs.The models for the conversion between the two sensors were also obtained from the regression,then the accuracy of the obtained conversion models were evaluated based on the other two image pairs.The results show that there is a good agreement between the two sensor corresponding vegetation indices with the conversion models also have high accuracy,it will contribute to joint use of two sensors for vegetation monitoring by translated the vegetation index from one sensor to another based on the obtained conversion models.The relative spectral response function differences in the red and near infrared bands between the two sensors are believed to be the main factor which contvibute to their differences in vegetation observations.
The useful information provided by a single satellite is often not sufficient,for the use of multiresolution sensors from different satellites,we examined how well HJ-1A / B CCD sensor vegetation observations replicate Landsat TM / ETM+ vegetation observations.The study investigates the quantitative relationship between the vegetation indices of HJ-1A / B CCD and Landsat TM / ETM+sensors,and more important,the difference in the vegetation observations between the two sensors.Three vegetation indices(the Normalized Difference Vegetation Index(NDVI),the Soil Adjusted Vegetation Index(SAVI) and the Enhanced Vegetation Index(EVI)) were calculated from both HJ-1A / B CCD and Landsat TM / ETM+reflectance data.The quantitative relationship was revealed through regression analysis on the scatter plots of the vegetation index values for the same target of the two sensors based on three tandem images pairs.The models for the conversion between the two sensors were also obtained from the regression,then the accuracy of the obtained conversion models were evaluated based on the other two image pairs.The results show that there is a good agreement between the two sensor corresponding vegetation indices with the conversion models also have high accuracy,it will contribute to joint use of two sensors for vegetation monitoring by translated the vegetation index from one sensor to another based on the obtained conversion models.The relative spectral response function differences in the red and near infrared bands between the two sensors are believed to be the main factor which contvibute to their differences in vegetation observations.
引文
[1]Li Chunhua,Xu Hanqiu,Chen Licong.Cross-comparison be-tween ASTER and Landsat-7ETM+Multispectral Imagery[J].Spectroscopy and Spectral Analysis,2010,30(9):2518-2524.[李春华,徐涵秋,陈荔聪.ASTER和Landsat-7ETM+两种多光谱传感器影像的交互对比[J].光谱学与光谱分析,2010,30(9):2518-2524.]
[2]Dinguirard M,Slater P N.Calibration of Space-MultispectralImaging Sensors:A Review[J].Remote Sensing of Environ-ment,1999,68(3):194-205.
[3]Xu Hanqiu,Zhang Tiejun.Cross Comparison of ASTER andLandsat ETM+Multispectral Measurements for NDVI andSAVI Vegetation Indices[J].Spectroscopy and Spectral Anal-ysis,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.]
[4]Soudani K,Francois C,le Maire G,et al.Comparative Analy-sis of IKONOS,SPOT,and ETM+Data for Leaf Area IndexEstimation in Temperate Coniferous and Deciduous ForestStands[J].Remote Sensing of Environment,2006,102(1-2):161-175.
[5]Van Leeuwen W J D,Orr B J,Marsh S E,et al.MultisensorNDVI Data Continuity:Uncertainties and Implications forVegetation Monitoring Applications[J].Remote Sensing ofEnvironment,2006,100(1):67-81.
[6]Chen Yanli,Long Buju,Pan Xuebiao,et al.Differences be-tween MODIS NDVI and AVHRR NDVI in MonitoringGrasslands Change[J].Journal of Remote Sensing,2011,15(4):831-845.[陈燕丽,龙步菊,潘学标,等.MODIS NDVI和AVHRR NDVI对草原植被变化监测差异[J].遥感学报,2011,15(4):831-845.]
[7]Martínez Beltrán C,Jochum M A O,Calera A,et al.Multisen-sor Comparison of NDVI for a Semi-arid Environment inSpain[J].International Journal of Remote Sensing,2009,30(5):1355-1384.
[8]Teillet P M,Barker J L,Markham B L,et al.RadiometricCross-calibration of the Landsat-7ETM+and Landsat-5TMSensors based on Tandem Data Sets[J].Remote Sensing ofEnvironment,2001,78(1-2):39-54.
[9]Gong Peng,Zhang Han,Zhang Haiying,et al.Mapping Tsu-nami Damaged Area Caused by the Magnitude 9.0JapanEarthquake Using China’s HJ-1Satellite Imagery[J].Journalof Remote Sensing,2011,15(4):863-868.[宫鹏,张晗,张海英,等.用中国环境减灾卫星1号数据评估日本仙台9.0级大地震引发海啸淹没区[J].遥感学报,2011,15(4):863-868.]
[10]Feng Lian,Wu Wei,Chen Xiaoling,et al.Diseases and InsectPests Area Monitoring for Winter Wheat based on HJ-CCDImagery[J].Transactions of the CSAE,2010,26(7):213-219.[冯炼,吴玮,陈晓玲,等.基于HJ卫星CCD数据的冬小麦病虫害面积监测[J].农业工程学报,2010,26(7):213-219.]
[11]Zhao Shaohua,Qin Qiming,Zhang Feng,et al.Research on U-sing a Mono-window Algorithm for Land Surface Tempera-ture Retrieval from Chinese Satellite for Environment andNatural Disaster Monitoring(HJ-1B)Data[J].Spectroscopyand Spectral Analysis,2011,31(6):1552-1556.[赵少华,秦其明,张峰,等.基于环境减灾小卫星(HJ-1B)的地表温度单窗反演研究[J].光谱学与光谱分析,2011,31(6):1552-1556.]
[12]Zhou Ji,Li Jing,Zhao Xiang,et al.A Modified Single-channelAlgorithm for Land Surface Temperature Retrieval from HJ-1BSatellite Data[J].Journal Infrared and Millimeter Waves,2011,30(1):61-67.[周纪,李京,赵祥,等.用HJ-1B卫星数据反演地表温度的修正单通道算法[J].红外与毫米波学报,2011,30(1):61-67.]
[13]Wang Xiang,Zhao Dongzhi,Huang Fengrong,et al.Researchon Monitoring of Thermal Pollution based on High SpatialResolution Image[J].Remote Sensing Technology and Appli-cation,2011,26(1):103-110.[王祥,赵冬至,黄凤荣,等.基于高空间分辨率的热污染监测研究进展[J].遥感技术与应用,2011,26(1):103-110.]
[14]Deng Kunmei,Sun Jiulin,Chen Pengfei,et al.Estimation ofSpring Wheat Yield by Remote Sensing Information from Chi-na’s Environmental Disaster Mitigation Satellite—TakingChen Barag Banner of Inner Mongolia as an Example[J].Journal of Natural Resources,2011,26(11):1942-1952.[邓坤枚,孙九林,陈鹏飞,等.利用国产环境减灾卫星遥感信息估测春小麦产量—以内蒙古陈巴尔虎旗地区为例[J].自然资源学报,2011,26(11):1942-1952.]
[15]Guo Lin,Pei Zhiyuan,Zhang Songling,et al.Estimation Meth-od of Sugarcane Leaf Area Index Using HJ CCD Images[J].Transactions of the CSAE,2010,26(10):201-205.[郭琳,裴志远,张松龄,等.基于环境星CCD图像的甘蔗叶面积指数反演方法[J].农业工程学报,2010,26(10):201-205.]
[16]Goward S N,Davis P E,Fleming D,et al.Empirical Compari-son of Landsat 7and IKONOS Multispectral Measurementsfor Selected Earth Observation System(EOS)ValidationSites[J].Remote Sensing of Environment,2003,88(1-2):80-99.
[17]Rouse J,Haas R H,Schell J A,et al.Monitoring the VernalAdvancements and Retro Gradation of Natural Vegetation[R]//NASA/GSFC.Final Report.Greenbelt,MD,USA:NASA/GSFC,1974:1-137.
[18]Huete A R.A Soil-adjusted Vegetation Index(SAVI)[J].Re-mote Sensing of Environment,1988,25(3):295-309.
[19]Liu H Q,Huete A R.A Feedback based Modification of theNDVI to Minimize Canopy Background and AtmosphereNoise[J].IEEE International Geoscience and Remote SensingSymposium,1995,33:457-465.
[20]Jiang Jinbao,Chen Yunhao,Huang Wenjiang.Using the Dis-tance between Hyperspectral Red Edge Position and YellowEdge Position to Identify Wheat Yellow Rust Disease[J].Spectroscopy and Spectral Analysis,2010,30(6):1614-1618.[蒋金豹,陈云浩,黄文江.利用高光谱红边与黄边位置距离识别小麦条锈病[J].光谱学与光谱分析,2010,30(6):1614-1618.]
[2]Dinguirard M,Slater P N.Calibration of Space-MultispectralImaging Sensors:A Review[J].Remote Sensing of Environ-ment,1999,68(3):194-205.
[3]Xu Hanqiu,Zhang Tiejun.Cross Comparison of ASTER andLandsat ETM+Multispectral Measurements for NDVI andSAVI Vegetation Indices[J].Spectroscopy and Spectral Anal-ysis,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.]
[4]Soudani K,Francois C,le Maire G,et al.Comparative Analy-sis of IKONOS,SPOT,and ETM+Data for Leaf Area IndexEstimation in Temperate Coniferous and Deciduous ForestStands[J].Remote Sensing of Environment,2006,102(1-2):161-175.
[5]Van Leeuwen W J D,Orr B J,Marsh S E,et al.MultisensorNDVI Data Continuity:Uncertainties and Implications forVegetation Monitoring Applications[J].Remote Sensing ofEnvironment,2006,100(1):67-81.
[6]Chen Yanli,Long Buju,Pan Xuebiao,et al.Differences be-tween MODIS NDVI and AVHRR NDVI in MonitoringGrasslands Change[J].Journal of Remote Sensing,2011,15(4):831-845.[陈燕丽,龙步菊,潘学标,等.MODIS NDVI和AVHRR NDVI对草原植被变化监测差异[J].遥感学报,2011,15(4):831-845.]
[7]Martínez Beltrán C,Jochum M A O,Calera A,et al.Multisen-sor Comparison of NDVI for a Semi-arid Environment inSpain[J].International Journal of Remote Sensing,2009,30(5):1355-1384.
[8]Teillet P M,Barker J L,Markham B L,et al.RadiometricCross-calibration of the Landsat-7ETM+and Landsat-5TMSensors based on Tandem Data Sets[J].Remote Sensing ofEnvironment,2001,78(1-2):39-54.
[9]Gong Peng,Zhang Han,Zhang Haiying,et al.Mapping Tsu-nami Damaged Area Caused by the Magnitude 9.0JapanEarthquake Using China’s HJ-1Satellite Imagery[J].Journalof Remote Sensing,2011,15(4):863-868.[宫鹏,张晗,张海英,等.用中国环境减灾卫星1号数据评估日本仙台9.0级大地震引发海啸淹没区[J].遥感学报,2011,15(4):863-868.]
[10]Feng Lian,Wu Wei,Chen Xiaoling,et al.Diseases and InsectPests Area Monitoring for Winter Wheat based on HJ-CCDImagery[J].Transactions of the CSAE,2010,26(7):213-219.[冯炼,吴玮,陈晓玲,等.基于HJ卫星CCD数据的冬小麦病虫害面积监测[J].农业工程学报,2010,26(7):213-219.]
[11]Zhao Shaohua,Qin Qiming,Zhang Feng,et al.Research on U-sing a Mono-window Algorithm for Land Surface Tempera-ture Retrieval from Chinese Satellite for Environment andNatural Disaster Monitoring(HJ-1B)Data[J].Spectroscopyand Spectral Analysis,2011,31(6):1552-1556.[赵少华,秦其明,张峰,等.基于环境减灾小卫星(HJ-1B)的地表温度单窗反演研究[J].光谱学与光谱分析,2011,31(6):1552-1556.]
[12]Zhou Ji,Li Jing,Zhao Xiang,et al.A Modified Single-channelAlgorithm for Land Surface Temperature Retrieval from HJ-1BSatellite Data[J].Journal Infrared and Millimeter Waves,2011,30(1):61-67.[周纪,李京,赵祥,等.用HJ-1B卫星数据反演地表温度的修正单通道算法[J].红外与毫米波学报,2011,30(1):61-67.]
[13]Wang Xiang,Zhao Dongzhi,Huang Fengrong,et al.Researchon Monitoring of Thermal Pollution based on High SpatialResolution Image[J].Remote Sensing Technology and Appli-cation,2011,26(1):103-110.[王祥,赵冬至,黄凤荣,等.基于高空间分辨率的热污染监测研究进展[J].遥感技术与应用,2011,26(1):103-110.]
[14]Deng Kunmei,Sun Jiulin,Chen Pengfei,et al.Estimation ofSpring Wheat Yield by Remote Sensing Information from Chi-na’s Environmental Disaster Mitigation Satellite—TakingChen Barag Banner of Inner Mongolia as an Example[J].Journal of Natural Resources,2011,26(11):1942-1952.[邓坤枚,孙九林,陈鹏飞,等.利用国产环境减灾卫星遥感信息估测春小麦产量—以内蒙古陈巴尔虎旗地区为例[J].自然资源学报,2011,26(11):1942-1952.]
[15]Guo Lin,Pei Zhiyuan,Zhang Songling,et al.Estimation Meth-od of Sugarcane Leaf Area Index Using HJ CCD Images[J].Transactions of the CSAE,2010,26(10):201-205.[郭琳,裴志远,张松龄,等.基于环境星CCD图像的甘蔗叶面积指数反演方法[J].农业工程学报,2010,26(10):201-205.]
[16]Goward S N,Davis P E,Fleming D,et al.Empirical Compari-son of Landsat 7and IKONOS Multispectral Measurementsfor Selected Earth Observation System(EOS)ValidationSites[J].Remote Sensing of Environment,2003,88(1-2):80-99.
[17]Rouse J,Haas R H,Schell J A,et al.Monitoring the VernalAdvancements and Retro Gradation of Natural Vegetation[R]//NASA/GSFC.Final Report.Greenbelt,MD,USA:NASA/GSFC,1974:1-137.
[18]Huete A R.A Soil-adjusted Vegetation Index(SAVI)[J].Re-mote Sensing of Environment,1988,25(3):295-309.
[19]Liu H Q,Huete A R.A Feedback based Modification of theNDVI to Minimize Canopy Background and AtmosphereNoise[J].IEEE International Geoscience and Remote SensingSymposium,1995,33:457-465.
[20]Jiang Jinbao,Chen Yunhao,Huang Wenjiang.Using the Dis-tance between Hyperspectral Red Edge Position and YellowEdge Position to Identify Wheat Yellow Rust Disease[J].Spectroscopy and Spectral Analysis,2010,30(6):1614-1618.[蒋金豹,陈云浩,黄文江.利用高光谱红边与黄边位置距离识别小麦条锈病[J].光谱学与光谱分析,2010,30(6):1614-1618.]
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心