Landsat系列卫星地表反射率产品研究进展

详细信息    查看全文 | 推荐本文 |

英文篇名：Research Progress of Landsat Series Satellite Surface Reflectance Products 作者：曹小杰 ; 江洪 ; 张兆明 ; 何国金 ; 王猛猛 ; 龙腾飞 ; 王桂周 ; 张晓美 英文作者：CAO Xiaojie;JIANG Hong;ZHANG Zhaoming;HE Guojin;WANG Mengmeng;LONG Tengfei;WANG Guizhou;ZHANG Xiaomei;Spatial Information Research Centre of Fujian Province,Fuzhou University;Institute of Remote Sensing and Digital Earth,Chinese Academy of Science; 关键词：Landsat系列卫星 ; Landsat系列卫星数据 ; Landsat地表反射率产品 英文关键词：Landsat series satellite;;Landsat series satellite data;;Landsat surface reflectance product 中文刊名：DBCH 英文刊名：Geomatics & Spatial Information Technology 机构：福州大学福建省空间信息工程研究中心;中国科学院遥感与数字地球研究所; 出版日期：2019-03-25 出版单位：测绘与空间地理信息 年：2019 期：v.42;No.239 基金：国家重点研发计划课题全球多时空尺度遥感动态监测与模拟预测项目(2016YFB0501502);; 福建省自然科学基金项目(2017J01658)资助 语种：中文; 页：DBCH201903026 页数：4 CN：03 ISSN：23-1520/P 分类号：103-106

摘要

Landsat系列卫星为地球资源环境动态监测提供了长达40余年的中高分辨率卫星影像,近年来USGS等实施的Landsat数据共享计划使Landsat系列卫星数据成为应用最广泛的中高分辨率卫星数据。长期以来,Landsat系列卫星数据以灰度值(DN值)的形式提供给用户,受传感器波段响应、具体成像条件(太阳高度角、大气散射和吸收等)差异等的影响,不同传感器、不同时间、不同地点的卫星影像DN值不具有可比性,给Landsat系列卫星数据的定量应用造成了障碍。近年来国内外多家研究机构陆续推出了Landsat系列卫星地表反射率产品,以增强Landsat长时间系列卫星数据的可比性。本文对USGS、马里兰大学、WELD团队和中国科学院等多家机构推出的Landsat地表反射率产品进行了介绍,并对未来的研究方向进行了展望。
        Landsat series satellite has provided high resolution satellite images for earth resources and environment dynamic monitoring for more than 40 years. In recent years,USGS and other implementation of the Landsat data sharing program make Landsat series satellite data become the most widely used in high resolution satellite data. For a long time,Landsat series satellite data is provided to the user in the form of gray value( DN value). On account of sensor band response,specific imaging conditions differences( solar altitude,atmospheric scattering and absorption,etc.),different sensors,different time and different locations of satellite imagery DN values are not comparable which create obstacles for the quantitative application of Landsat series satellite data. In recent years,in order to enhance the comparability of Landsat long time series satellite data,many domestic and foreign research institutions have launched Landsat series of satellite surface reflectance products. USGS,University of Maryland,WELD team and the Chinese Academy of Sciences and other institutions launched Landsat surface reflectance products were introduced,and the future research direction were prospected.

引文

[1]顾行发.航天光学遥感器辐射定标原理与方法[M].北京:科学出版社,2013.
    [2]Schott J R,Hook S J,Barsi J A,et al.Thermal infrared radiometric calibration of the entire Landsat 4,5,and 7 archive(1982-2010)[J].Remote Sensing of Environment,2012(122):41-49.
    [3]ZAGOLSKI F,GASTELLU-ETCHEGORRY J P.Atmospheric correction of AVIRIS images with a procedure based on the inversion of the 5S model[J].International Journal of Remote Sensing,1995(16):3 115-3 146.
    [4]VERMOTE E,TANRD,DEUZJ L,et al.Second simulation of the satellite signal in the solar spectrum:An overview[J].IEEE Transactions on Geoscience and Remote Sensing,1997(35):675-686.
    [5]Zhaoming Zhang,Guojin He,Xiaoqin Wang.A practical DOS model based atmospheric correction algorithm[J].International Journal of Remote Sensing,2010,31(11):2 837-2 852.
    [6]Maiersperger T,Scaramuzza P,Leigh L,et al.Characterizing LEDAPS surface reflectance products by comparisons with AERONET,field spectrometer,and MODIS data[J].Remote Sensing of Environment,2013(136):1-13.
    [7]Claverie M,Vermote E F,Franch B,et al.Evaluation of the Landsat-5 TM and Landsat-7 ETM+surface reflectance products[J].Remote Sensing of Environment,2015(169):390-403.
    [8]Yan Peng,Guojin He,Zhaoming Zhang,et al.Study on atmospheric correction approach of Landsat-8 imageries based on 6S model and look-up table[J].Appl.Remote Sens,2016,10(4):45.