期刊文献+

Landsat 8数据地表温度反演算法对比研究——以南京市为例 被引量:5

Comparison of Algorithms of Inverting Land Surface Temperature with Landsat 8 Satellite:Taking Nanjing as an Example
在线阅读 下载PDF
导出
摘要 为了对比研究针对Landsat 8数据的地表温度反演算法,选择南京市为研究区,采用Jiménez-Muoz等提出的SC和SW算法对地表温度进行反演,结果表明,SC算法比SW算法反演的地表温度平均高3.67 K.然后采用模拟数据法来验证两种算法的反演精度,结果表明,基于TIRS 10波段数据的SC算法平均反演误差在1K以内,与基于TIRS 10,11波段数据的SW算法相比结果更为可靠. In order to compare algorithms to invert land surface temperature (LST) with Landsat 8 satellite data, the paper tries to invert LST through selecting Nanjing as the research area by use of SC and SW algorithms proposed by Jim6nez-Mufioz, et al. The results show that the LST inverted by SC algorithms is 3.67 K more than LST by SW algorithms on average. Then the pa- per uses the simulated data method to evaluate the accuracies of two algorithms. The results show that the average inversion tolerance of SC algorithm based on TIRS 10 band data is restrict- ed within 1 K. Compared with SW algorithm based on band 10, 11 data, SC is more reliable.
作者 孙静 何菁
出处 《淮海工学院学报(自然科学版)》 CAS 2016年第3期66-71,共6页 Journal of Huaihai Institute of Technology:Natural Sciences Edition
关键词 地表温度 单通道算法 劈窗算法 LANDSAT 8 MODTRAN land surface temperature (LST) single channel algorithm split window algorithm Landsat 8 MODTRAN
  • 相关文献

参考文献12

  • 1SOBRINO J A, JIMENEZ MUNOZ J C, PAOLINI L. Land surface temperature retrieval from LAND SAT TM 5 [J]. Remote Sensing of Environment, 2004, 90(4): 434-440.
  • 2LI Fuqin, JACKSON T J, KUSTAS W P, et al. Deri- ving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX[J]. Remote Sensing of Environment, 2004, 92(4) : 521-534.
  • 3NICHOL J. Remote sensing of urban heat islands by day and night[J]. Photogrammetric Engineering and Remote Sensing, 2005, 71(5): 613-621.
  • 4JIMANEZ-MUNOZ J C, SOBRINO J A. Correction to "A generalized single-channel method for retrievingland surface temperature from remote sensing data" by Juan C. Jimnez-Mufioz and Josfi A. Sobrino[J]. Jour- nal of Geophysical Research, 2003, 109(D8) : 4804.
  • 5JIMENEZ-MUIqOZ J C, CRISTOBAL J J, SOBRINO J A, et al. Revision of the single-channel algorithm for land surface temperature retrieval from Landsat ther- mal-infrared data[J]. IEEE Transations on Geoscience and Remote Sensing, 2009, 47(1): 339-349.
  • 6QIN Zhihao, KARNIELI A, BERLINER P. A mono- window algorithm for retrieving land surface tempera- ture from Landsat TM data and its application to the Israel-Egypt border regionFJ]. International Journal of Remote Sensing, 2001, 22(18): 3719-3746.
  • 7JIMtNEZ-MUIqOZ J C, SOBRINO J A, SKOKOVIC D, et al. Land surface temperature retrieval methods from Landsat-8 thermal infrared sensor data[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11 (10) : 1840-1843.
  • 8SOBRINO J A, LI Zhaoliang, STOLL M P, et al. Multi-channel and multi-angle algorithms for estima- ting sea and land surface temperature with ATSR data[J]. International Journal of Remote Sensing, 1996, 17(11) : 2089-2114.
  • 9SOBRINO J A, JIMENEZ-MUNOZ J C, SORIA U, et al. Land surface emissivity retrieval from different VNIR and T1R sensors[J]. IEEE Transactions on Ge- oscience and Remote Sensing, 2008, 46(2): 316-327.
  • 10YU Xiaolei, GUO Xulin, WU Zhaocong. Land sur- face temperature retrieval from Landsat 8 TIRS-- comparison between radiative transfer equation-based method, split window algorithm and single channel method[J]. Remote Sensing, 2014, 6(10): 9829- 9852.

二级参考文献12

  • 1Alan Gillespie,Shuichi Rokugawa,Tsuneo Matsunaga et al.A temperature and emissivity separation algorithm for advanced spaceborne thermal emission and reflection radiometer(ASTER) images[J].IEEE Transactions on geoscience and remote sensing,1998,36(4):1113~11126.
  • 2Shunlin Liang.An optimization algorithm for separating land surface temperature and emissivity from multispectral thermal infrared imagery[J].IEEE Transactions on geoscience and remote sensing,2001,39(2):264~274
  • 3Zhihao Qin,G.D.O.,Arnon Karnieli.Derivation of split window algorithm AVHRR data[J].Journal of Geophysical Research,2001(106):22655~22670.
  • 4Li,Z-L.,Becker,F..Feasibility of land surface temperature and emissivity determination from AVHRR data[J].Remote Sens.Environ.,1993(43):67~85.
  • 5Price,J.C..Estimating land surface temperature from satellite thermal infrared data-A simple formation for the atmospheric effect[J].Remote Sensing of Environment,1983(13):353~356.
  • 6Franca,G.B.,and A.P.,Cracknell,Retrieval of land and sea surface temperature using NOAA-11 AVHRR data in northeastern Brazil[J].Remote Sensing of Environment,1994(15):1695~1712.
  • 7Coll,C.,V.,Caselles,A.Sobrino,and E.,Valor.On the atmosphereic dependence of the split-window equation for land surface temperature[J].Remote Sensing of Environment,1994(15):105~155.
  • 8Kaufman Y.J.,Gao B.C.Remote sensing of water vapor in the near IR from EOS/MODIS[J].IEEE Transactions on Geoscience and Remote Sensing,1992,(30):871~884.
  • 9Mao K.,Qin Z.,Shi J..Gong P.,A practical split-window algorithm for retreiving land surface temperature from MODIS data[J].Int.J.Remote Sensing,2005(26):3181~3204.
  • 10Salisbury,J.W.and D'Aria,D.M..Emissivity of terrestrial materials in the 8-14mm atmospheric window[J].Remote Sens.Environ.1992(42):83~106.

共引文献45

同被引文献37

引证文献5

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部