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CPF变化对Landsat TM/ETM+辐射校正结果的影响
引用本文:黄绍霖,徐涵秋,王琳.CPF变化对Landsat TM/ETM+辐射校正结果的影响[J].吉林大学学报(地球科学版),2014,44(4):1382.
作者姓名:黄绍霖  徐涵秋  王琳
作者单位:1.福州大学环境与资源学院,福州350116; 2.福州大学遥感信息工程研究所,福州350116; 3.福建省水土流失遥感监测评估与灾害防治重点实验室,福州350116
基金项目:国家科技支撑项目(2013BAC08B01-05);福建省自然科学基金项目(2011J01269,201109251730)
摘    要:随着时间的推移,卫星传感器的老化会使得原有的辐射定标参数文件(CPF)失效。最典型的当属Landsat-5卫星,该卫星自1984年发射以来,已经进行了多次CPF修正;而Landsat-7卫星的CPF也经过了数次修改,以保证辐射校正结果的准确性。以Landsat TM/ETM+遥感影像为例,分别以2003、2009年的CPF对它们进行辐射校正,并对结果进行对比。结果表明,除ETM+的绿光波段外,TM、ETM+影像基于2009年CPF计算的各波段均值都要小于2003年。而这一变化也使得由此计算的指数产生差异:归一化植被指数(NDVI)间的差异可达0.48%,建筑用地指数(IBI)间的差异可达5.94%。

关 键 词:辐射校正  辐射定标参数  归一化植被指数  建筑用地指数  Landsat卫星  遥感  
收稿时间:2013-05-26

Influence of Calibration Parameter File (CPF) to Radiometric Correction on Landsat TM/ETM+
Huang Shaolin,Xu Hanqiu,Wang Lin.Influence of Calibration Parameter File (CPF) to Radiometric Correction on Landsat TM/ETM+[J].Journal of Jilin Unviersity:Earth Science Edition,2014,44(4):1382.
Authors:Huang Shaolin  Xu Hanqiu  Wang Lin
Institution:1.College of Environment and Resources, Fuzhou University, Fuzhou350116, China;
2.Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou350116, China;
3.Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou350116, China
Abstract:As time goes by, the aged satellite sensors have made the original Calibration Parameter File (CPF) of the sensors become invalid. Typically the CPF of the Landsat-5 Thematic Mapper (TM) was modified several times since its launch in 1984, and so did the CPF of Landsat-7 Enhanced Thematic Mapper Plus (ETM+). Otherwise the accuracy of the image radiometric correction is not ensured. In this study, two scenes of Landsat TM and ETM+ images have been corrected using their CPFs issued in 2003 and 2009, respectively. These radiometrically corrected images were then compared to see whether there was any difference between the correction results. The band-by-band comparison reveals that, except the green band of ETM+, the mean value of TM and ETM+ bands calculated with the 2009 CPF is less than that calculated with the 2003 CPF. This also has influenced on the Normalized Difference Vegetation Index (NDVI) and build up index (IBI) computation. The difference in the mean value between the NDVIs calculated using the 2003 and 2009 CPFs amounts to 0.48%, while this figure between the IBIs can reach to 5.94%.
Keywords:radiometric correction  calibration parameter file(CPF)  IBI  NDVI  Landsat satellite  remote sensing  
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