基于Landsat 8数据反演地表发射率的几种不同算法对比分析
|
摘要
为了分析研究不同地表发射率反演算法的精度和适用性,文中选取西安市的遥感影像Landsat 8为基础数据,运用ENVI,ArcGIS等软件,首先对Landsat 8数据进行预处理,提取西安市的NDVI影像;然后,建立决策树模型得到西安市地表分类影像,并基于像元二分模型反演得到植被覆盖度,基于NDVI得到4种不同算法的地表发射率;最后,以精度0. 01的MODIS LSE产品为标准数据,从像元尺度上对比分析了4种算法的精度,并依据回归决策树方法的分类结果,对比分析了不同算法在各类地表覆盖类型上的发射率反演差异。结果表明:在像元尺度上,植被指数混合模型法与NDVI~(TEM)改进算法精度较高且较为接近;从不同下垫面的反演差异来看,在植被区域4种算法之间的差异较小,而对于水体区域,4种算法之间的差异较大;从反演方法的适用性而言,植被指数混合模型法与NDVI~(TEM)改进算法较为适合本研究区。
In order to analyze the accuracy and applicability of different surface emissivity inversion algorithms,the Landsat 8 data of remote sensing imagery in Xi'an was selected,and software such as ENVI and ArcGIS was used. First,the Landsat 8 data is preprocessed to extract NDVI images from Xi'an.Then,the decision tree model is established to obtain the surface classification image of the city,the vegetation coverage is obtained based on the inversion of the pixel binary model,and the surface emissivity of four different algorithms is obtained based on NDVI. Finally,with the accuracy of 0. 01 MODIS LSE products as the standard data,the accuracy of the four algorithms is compared and analyzed from the pixel scale,and based on the classification results of the regression decision tree method,the differences of emissivity inversion of different algorithms on different types of surface coverage are compared and analyzed. The results indicate that the vegetation index hybrid model method and the NDVI~(TEM) improved algorithm are more accurate and close to each other on the pixel scale. From the inversion difference of different underlying surfaces,the difference between the four algorithms in the vegetation region is small.For the water body region,the difference between the four algorithms is great; from the applicability of the inversion method,the vegetation index hybrid model method and the NDVI~(TEM) improved algorithm are more suitable for the study area.
In order to analyze the accuracy and applicability of different surface emissivity inversion algorithms,the Landsat 8 data of remote sensing imagery in Xi'an was selected,and software such as ENVI and ArcGIS was used. First,the Landsat 8 data is preprocessed to extract NDVI images from Xi'an.Then,the decision tree model is established to obtain the surface classification image of the city,the vegetation coverage is obtained based on the inversion of the pixel binary model,and the surface emissivity of four different algorithms is obtained based on NDVI. Finally,with the accuracy of 0. 01 MODIS LSE products as the standard data,the accuracy of the four algorithms is compared and analyzed from the pixel scale,and based on the classification results of the regression decision tree method,the differences of emissivity inversion of different algorithms on different types of surface coverage are compared and analyzed. The results indicate that the vegetation index hybrid model method and the NDVI~(TEM) improved algorithm are more accurate and close to each other on the pixel scale. From the inversion difference of different underlying surfaces,the difference between the four algorithms in the vegetation region is small.For the water body region,the difference between the four algorithms is great; from the applicability of the inversion method,the vegetation index hybrid model method and the NDVI~(TEM) improved algorithm are more suitable for the study area.
引文
[1]柳菲,王新生,徐静,等.基于NDVI阈值法反演地表比辐射率的参数敏感性分析[J].遥感信息,2012,27(4):3-12.LIU Fei,WANG Xin-sheng,XU Jing,et al. Sensitivity analysis of retrieving land surface emissivity based on NDVI threshold method[J]. Remote Sensing Information,2012,27(4):3-12.
[2]唐世浩,李小文,王锦地,等.改进的基于订正ALPHA差值谱的TES算法[J].中国科学(地球科学),2006,36(7):663-671.TANG Shi-hao,LI Xiao-wen,WANG Jin-di,et al. Improved TES algorithm based on revised ALPHA difference spectrum[J]. Chinese Science(Earth Science),2006,36(7):663-671.
[3]柳菲.地表比辐射率遥感反演方法研究[D].武汉:湖北大学,2012.LIU Fei. Researching of remote sensing inversion method on land surface emissivity[D]. Wuhan:Hubei University,2012.
[4] Platt M,Prata A J. Nocturnal effects in the retrieval of land surface temperatures from satellite measurements[J]. Remote Sensing of Environment,1993,45(2):127-136.
[5]徐剑波,肖志峰,钟林忆,等. HJ-1B热红外LST反演及利用偏微分对其误差精度分析[J].武汉大学学报(信息科学版),2016,41(11):1505-1511.XU Jian-bo,XIAO Zhi-feng,ZHONG Lin-yi,et al. Inversion of HJ-1B thermal infrared LST and error accuracy analysis by partial differential method[J]. Journal of Wuhan University,Information Science Edition,2016,41(11):1505-1511.
[6]李艳芳,杨昆,杨荣.比辐射率对遥感反演滇池流域地表温度的影响[J].长江科学院院报,2015,32(9):26-31.LI Yan-fang,YANG Kun,YANG Rong. Effect of emissivity on the retrieved land surface temperature from remote sensing date of Dianchi Lake Watershed[J]. Yangtze River Academy,2015,32(9):26-31.
[7]闫大鹏,周兴东,刘伟,等.一种基于高斯拟合的水生植被遥感分类阈值确定方法[J].西安科技大学学报,2018,38(5):776-782.YAN Da-peng,ZHOU Xing-dong,LIU Wei,et al. An algorithm for determining remote sensing classification threshold of aquatic vegetation based on Gauss fitting[J]. Journal of Xi’an University of Science and Technology,2018,38(5):776-782.
[8]张成才,陈东河,董洪涛.基于Landsat-5 TM数据的河南省白沙灌区地表温度反演研究[J].遥感技术与应用,2013,28(6):964-968.ZHANG Cheng-cai,CHEN Dong-he,DONG Hong-tao.Land surface temperature retrieval based on Landsat 5TM data in baisha irrigation of henan province[J]. Remote Sensing Technology and Application,2013,28(6):964-968.
[9]林志彬.基于Landsat ETM+影像的城市热岛研究[J].安徽农业科学,2009,37(28):3961-3963.LIN Zhi-bin. Study on urban heat island based on Landsat ETM+image[J]. Anhui Agricultural Sciences,2009,37(28):3961-3963.
[10]唐伯惠,李召良,唐荣林,等.热红外地表发射率遥感反演研究[M].北京:科学出版社,2014.TANG Bo-hui,LI Zhao-liang,TANG Rong-lin,et al. Remote sensing inversion of thermal infrared surface emissivity[M]. Beijing:Science Press,2014.
[11]赵少华,邱国玉,秦其明,等. MODIS数据反演地表温度的应用研究[J].干旱区资源与环境,2010,24(3):51-54.ZHAO Shao-hua,QIU Guo-yu,QIN Qi-ming,et al. Application of MODIS data to ret-rieve land surface temperature[J]. Arid. Area Resources and Environment,2010,24(03):51-54.
[12]覃志豪,李文娟,徐斌,等.利用Landsat TM 6反演地表温度所需地表辐射率参数的估计方法[J].海洋科学进展,2004,22(B10):129-137.QIN Zhi-hao,LI Wen-juan,XU Bin,et al. Estimation method of land surface emissivity for retrieving land surface temperature from landsat TM 6 data[J]. Advances in Marine Science,2004,22(B10):129-137.
[13]覃志豪,李文娟,徐斌,等.陆地卫星TM 6波段范围内地表比辐射率的估计[J].国土资源遥感,2004,16(3):28-32.QIN Zhi-hao,LI Wen-juan,XU Bin,et al. The estimation of land surface emissivity for Landsat TM 6[J]. Remote Sensing of Land and Resources,2004,16(3):28-32.
[14]徐涵秋.新型Landsat 8卫星影像的反射率和地表温度反演[J].地球物理学报,2015,58(3):741-747.XU Han-qiu. Retrieval of the reflectance and land surface temperature of the newlylaunched Landsat 8 satellite[J]. Chinese Journal of Geophysics,2015,58(3):741-747.
[15]邱春霞,许艺腾,姚顽强,等.一种遥感影像反立体纠正方法研究[J].西安科技大学学报,2016,36(3):422-427.QIU Chun-xia,XU Yi-teng,YAO Wan-qiang,et al. A correcting method of inverse stereo phenomenon of remote sensing image[J]. Journal of Xi’an University of Science and Technology,2016,36(3):422-427.
[16]姜友谊,张春森,胡平波.可量测实景影像与4D产品集成研究[J].西安科技大学学报,2011,31(5):569-572.JIANG You-yi,ZHANG Chun-sen,HU Ping-bo. Integration of digital measurable image and 4D production[J].Journal of Xi’an University of Science and Technology,2011,31(5):569-572.
[17]张元栋,尚晓鹏,杜芬玲,等.宁夏植被动态变化及其对降水的响应[J].西安科技大学学报,2017,37(1):84-89.ZHANG Yuan-dong,SHANG Xiao-peng,DU Fen-ling,et al. Dynamic change of vegetation and its response to precipitation in Ningxia[J]. Journal of Xi’an University of Science and Technology,2017,37(1):84-89.
[18]陈金华,刘惠敏,黄勇,等.冬小麦生育期间MODIS多时相NDVI特征分析及其在地物识别上的应用[J].安徽农业科学,2010,38(7):3641-3643,3667.CHEN Jin-hua,LIU Hui-min,HUANG Yong,et al.Characteristics of MODIS multitemporal NDVI during winter wheat growth and its application in ground object recognition[J]. Journal of Anhui Agricultural Sciences,2010,38(7):3641-3643,3667.
[19] Sobrino J A,Jim nez-Mu oz J C,Mireia R,et al. Land surface emissivity retrieval from different VNIR and TIR sensors[J]. IEEE Transactions on Geoscience and Remote Sensing,2008,46(2):316-327.
[20] Valor E,Caselles V. Mapping land surface emissivity from NDVI:application to European,African,and South American areas[J]. Remote Sensing of Environment,1996,57(3):167-184.
[21] Sobrino J A,Jiménez-Mu?oz J C,Paolini L. Land surface temperature retrieval from Landsat TM 5[J]. Remote Sensing of Environment,2003,90(4):434-440.
[22]王岳,于汉学.历史遗迹保护下西安城市交通系统评估方法[J].西安科技大学学报,2018,38(6):952-958.WANG Yue,YU Han-xue. Assessment method of urban traffic system under historical relic protection[J]. Journal of Xi’an University of Science and Technology,2018,38(6):952-958.
[2]唐世浩,李小文,王锦地,等.改进的基于订正ALPHA差值谱的TES算法[J].中国科学(地球科学),2006,36(7):663-671.TANG Shi-hao,LI Xiao-wen,WANG Jin-di,et al. Improved TES algorithm based on revised ALPHA difference spectrum[J]. Chinese Science(Earth Science),2006,36(7):663-671.
[3]柳菲.地表比辐射率遥感反演方法研究[D].武汉:湖北大学,2012.LIU Fei. Researching of remote sensing inversion method on land surface emissivity[D]. Wuhan:Hubei University,2012.
[4] Platt M,Prata A J. Nocturnal effects in the retrieval of land surface temperatures from satellite measurements[J]. Remote Sensing of Environment,1993,45(2):127-136.
[5]徐剑波,肖志峰,钟林忆,等. HJ-1B热红外LST反演及利用偏微分对其误差精度分析[J].武汉大学学报(信息科学版),2016,41(11):1505-1511.XU Jian-bo,XIAO Zhi-feng,ZHONG Lin-yi,et al. Inversion of HJ-1B thermal infrared LST and error accuracy analysis by partial differential method[J]. Journal of Wuhan University,Information Science Edition,2016,41(11):1505-1511.
[6]李艳芳,杨昆,杨荣.比辐射率对遥感反演滇池流域地表温度的影响[J].长江科学院院报,2015,32(9):26-31.LI Yan-fang,YANG Kun,YANG Rong. Effect of emissivity on the retrieved land surface temperature from remote sensing date of Dianchi Lake Watershed[J]. Yangtze River Academy,2015,32(9):26-31.
[7]闫大鹏,周兴东,刘伟,等.一种基于高斯拟合的水生植被遥感分类阈值确定方法[J].西安科技大学学报,2018,38(5):776-782.YAN Da-peng,ZHOU Xing-dong,LIU Wei,et al. An algorithm for determining remote sensing classification threshold of aquatic vegetation based on Gauss fitting[J]. Journal of Xi’an University of Science and Technology,2018,38(5):776-782.
[8]张成才,陈东河,董洪涛.基于Landsat-5 TM数据的河南省白沙灌区地表温度反演研究[J].遥感技术与应用,2013,28(6):964-968.ZHANG Cheng-cai,CHEN Dong-he,DONG Hong-tao.Land surface temperature retrieval based on Landsat 5TM data in baisha irrigation of henan province[J]. Remote Sensing Technology and Application,2013,28(6):964-968.
[9]林志彬.基于Landsat ETM+影像的城市热岛研究[J].安徽农业科学,2009,37(28):3961-3963.LIN Zhi-bin. Study on urban heat island based on Landsat ETM+image[J]. Anhui Agricultural Sciences,2009,37(28):3961-3963.
[10]唐伯惠,李召良,唐荣林,等.热红外地表发射率遥感反演研究[M].北京:科学出版社,2014.TANG Bo-hui,LI Zhao-liang,TANG Rong-lin,et al. Remote sensing inversion of thermal infrared surface emissivity[M]. Beijing:Science Press,2014.
[11]赵少华,邱国玉,秦其明,等. MODIS数据反演地表温度的应用研究[J].干旱区资源与环境,2010,24(3):51-54.ZHAO Shao-hua,QIU Guo-yu,QIN Qi-ming,et al. Application of MODIS data to ret-rieve land surface temperature[J]. Arid. Area Resources and Environment,2010,24(03):51-54.
[12]覃志豪,李文娟,徐斌,等.利用Landsat TM 6反演地表温度所需地表辐射率参数的估计方法[J].海洋科学进展,2004,22(B10):129-137.QIN Zhi-hao,LI Wen-juan,XU Bin,et al. Estimation method of land surface emissivity for retrieving land surface temperature from landsat TM 6 data[J]. Advances in Marine Science,2004,22(B10):129-137.
[13]覃志豪,李文娟,徐斌,等.陆地卫星TM 6波段范围内地表比辐射率的估计[J].国土资源遥感,2004,16(3):28-32.QIN Zhi-hao,LI Wen-juan,XU Bin,et al. The estimation of land surface emissivity for Landsat TM 6[J]. Remote Sensing of Land and Resources,2004,16(3):28-32.
[14]徐涵秋.新型Landsat 8卫星影像的反射率和地表温度反演[J].地球物理学报,2015,58(3):741-747.XU Han-qiu. Retrieval of the reflectance and land surface temperature of the newlylaunched Landsat 8 satellite[J]. Chinese Journal of Geophysics,2015,58(3):741-747.
[15]邱春霞,许艺腾,姚顽强,等.一种遥感影像反立体纠正方法研究[J].西安科技大学学报,2016,36(3):422-427.QIU Chun-xia,XU Yi-teng,YAO Wan-qiang,et al. A correcting method of inverse stereo phenomenon of remote sensing image[J]. Journal of Xi’an University of Science and Technology,2016,36(3):422-427.
[16]姜友谊,张春森,胡平波.可量测实景影像与4D产品集成研究[J].西安科技大学学报,2011,31(5):569-572.JIANG You-yi,ZHANG Chun-sen,HU Ping-bo. Integration of digital measurable image and 4D production[J].Journal of Xi’an University of Science and Technology,2011,31(5):569-572.
[17]张元栋,尚晓鹏,杜芬玲,等.宁夏植被动态变化及其对降水的响应[J].西安科技大学学报,2017,37(1):84-89.ZHANG Yuan-dong,SHANG Xiao-peng,DU Fen-ling,et al. Dynamic change of vegetation and its response to precipitation in Ningxia[J]. Journal of Xi’an University of Science and Technology,2017,37(1):84-89.
[18]陈金华,刘惠敏,黄勇,等.冬小麦生育期间MODIS多时相NDVI特征分析及其在地物识别上的应用[J].安徽农业科学,2010,38(7):3641-3643,3667.CHEN Jin-hua,LIU Hui-min,HUANG Yong,et al.Characteristics of MODIS multitemporal NDVI during winter wheat growth and its application in ground object recognition[J]. Journal of Anhui Agricultural Sciences,2010,38(7):3641-3643,3667.
[19] Sobrino J A,Jim nez-Mu oz J C,Mireia R,et al. Land surface emissivity retrieval from different VNIR and TIR sensors[J]. IEEE Transactions on Geoscience and Remote Sensing,2008,46(2):316-327.
[20] Valor E,Caselles V. Mapping land surface emissivity from NDVI:application to European,African,and South American areas[J]. Remote Sensing of Environment,1996,57(3):167-184.
[21] Sobrino J A,Jiménez-Mu?oz J C,Paolini L. Land surface temperature retrieval from Landsat TM 5[J]. Remote Sensing of Environment,2003,90(4):434-440.
[22]王岳,于汉学.历史遗迹保护下西安城市交通系统评估方法[J].西安科技大学学报,2018,38(6):952-958.WANG Yue,YU Han-xue. Assessment method of urban traffic system under historical relic protection[J]. Journal of Xi’an University of Science and Technology,2018,38(6):952-958.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |