The Progress in Retrieving Land Surface Temperature Based on Thermal Infrared and Microwave Remote Sensing Technologies
ZHANG Jia-hua1, LI Xin1, YAO Feng-mei2, 3*,LI Xian-hua3
1. Laboratory for Remote Sensing and Climate Information Sciences, Chinese Academy of Meteorological Sciences, Beijing 100081, China 2. College of Geoscience, the Graduate University of Chinese Academy of Sciences,Beijing 100049, China 3. Research Center of Remote Sensing and Spatial Information Science, Shanghai University, Shanghai 200072, China
Abstract:Land surface temperature (LST) is an important parameter in the study on the exchange of substance and energy between land surface and air for the land surface physics process at regional and global scales. Many applications of satellites remotely sensed data must provide exact and quantificational LST, such as drought, high temperature, forest fire, earthquake, hydrology and the vegetation monitor, and the models of global circulation and regional climate also need LST as input parameter. Therefore, the retrieval of LST using remote sensing technology becomes one of the key tasks in quantificational remote sensing study. Normally, in the spectrum bands, the thermal infrared (TIR, 3-15 μm) and microwave bands (1 mm-1 m) are important for retrieval of the LST. In the present paper, firstly, several methods for estimating the LST on the basis of thermal infrared (TIR) remote sensing were synthetically reviewed, i.e., the LST measured with an ground-base infrared thermometer, the LST retrieval from mono-window algorithm (MWA), single-channel algorithm (SCA), split-window techniques (SWT) and multi-channels algorithm(MCA), single-channel & multi-angle algorithm and multi-channels algorithm & multi-angle algorithm, and retrieval method of land surface component temperature using thermal infrared remotely sensed satellite observation. Secondly, the study status of land surface emissivity (ε) was presented. Thirdly, in order to retrieve LST for all weather conditions, microwave remotely sensed data, instead of thermal infrared data, have been developed recently, and the LST retrieval method from passive microwave remotely sensed data was also introduced. Finally, the main merits and shortcomings of different kinds of LST retrieval methods were discussed, respectively.
Key words:TIR;Microwave;Land surface temperature (LST);Remote sensing retrieval;Emissivity
张佳华1,李 欣1,姚凤梅2, 3*,李先华3 . 基于热红外光谱和微波反演地表温度的研究进展[J]. 光谱学与光谱分析, 2009, 29(08): 2103-2107.
ZHANG Jia-hua1, LI Xin1, YAO Feng-mei2, 3*,LI Xian-hua3 . The Progress in Retrieving Land Surface Temperature Based on Thermal Infrared and Microwave Remote Sensing Technologies . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(08): 2103-2107.
[1] CHEN Shu-peng(陈述彭). Remote Sensing Dictionary(遥感大词典). Beijing:Science Press(北京:科学出版社),1990. 31. [2] ZHANG Xin, GUO Jia, NI Li-jun, et al(张 鑫, 郭 佳, 倪力军, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(12):2437. [3] DENG Lun-hua, GAO Xiao-ming, CAO Zhen-song, et al(邓伦华, 高晓明, 曹振松, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(11): 2186. [4] PU Jing-juan, DONG Wei-dong, GUAN Yan-ning, et al(濮静娟,董卫东,关燕宁, 等). Journal of Remote Sensing(遥感学报),1997,1(4):290. [5] LI Wei, ZHANG Hong-sheng, KANG Ling et al(李 薇,张宏升,康 凌, 等). Meteorological, Hydrological and Marine Instruments(气象水文仪器),2003,3: 13. [6] HUANG Miao-feng, XING Xu-feng, LIU Su-hong, et al(黄妙芬,邢旭峰,刘素红, 等). Arid Land Geography(干旱区地理),2005,28(4): 541. [7] Becket F, Li Z L. Remote Sens. Rev., 1995, 12: 225. [8] Sobrino J A, Jimenez-Munoz J C,Paolini L. Remote Sensing of Environment, 2004, 90(4): 434. [9] GONG A-du, JIANG Zhang-yan, LI Jing, et al(宫阿都,江樟焰, 李 京, 等). Remote Sensing Information(遥感信息),2005,79(3):18. [10] DING Feng, XU Han-qiu(丁 凤,徐涵秋). Geo-Information Science(地球信息科学),2006,8(3):125. [11] Qin, Z H, Karnieli A, Berliner P. Int. J. Remote Sensing, 2001, 22(18): 3719. [12] QIN Zhi-hao, LI Wen-juan, XU Bin, et al(覃志豪,李文娟,徐 斌, 等). Remote Sensing for Land & Resources(国土资源遥感),2004,3:28. [13] Dash P, Gottsche F M, Olesen F S, et al. International Journal of Remote Sensing, 2002, 23(13): 2563. [14] Jimenez-Munoz J C, Sobrino J A. Journal of Geophysical Research, 2003, 108(D22): 4688. [15] MENG Xian-hong, Lü Shi-hua, ZHANG Yu, et al(孟宪红,吕世华, 张 宇, 等). Plateau Meteorology(高原气象),2005,24(5):721. [16] ZHANG Zhao-ming, HE Guo-jin, XIAO Rong-bo, et al(张兆明,何国金, 肖荣波, 等). Remote Sensing Technology and Application(遥感技术与应用),2005,20(6):547. [17] Anding D, Kauth R. Remote Sensing Environ., 1970, 1: 217. [18] Prabhakara C, Dalu G, Kunde V G. Journal Geophys. Res., 1974, 79: 5039. [19] Price J C. J. Geophys. Res., 1984, 89: 7231. [20] Wan Z M, Li Z L. IEEE Transactions Geoscience Remote Sensing, 1997, 35: 980. [21] Gillespie A, Rokugawa S, Matsunaga T, et al. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36:1113. [22] XU Xi-ru, ZHUANG Jia-li, CHEN Liang-fu, et al(徐希孺,庄家礼,陈良富, 等). Acta Scientiaram Naturalium Universitatis Pekinensis(北京大学学报·自然科学版),2000,36(4):555. [23] SONG Xiao-ning, ZHAO Ying-shi(宋小宁,赵英时). Journal of China University of Mining & Technology(中国矿业大学学报),2004,33(4):406. [24] ZHUANG Jia-li, CHEN Liang-fu, XU Xi-ru(庄家礼,陈良富,徐希孺). Journal of Remote Sensing(遥感学报), 2001, 5(1): 1. [25] JIA Yuan-yuan, LI Zhao-liang(贾媛媛,李召良). Progress in Geography(地理科学进展),2006,25(3):96. [26] MAO Ke-biao, SHI Jian-cheng, LI Zhao-liang, et al(毛克彪,施建成,李召良, 等). Remote Sensing for Land & Resources(国土资源遥感),2005,(3):14. [27] ZHANG Jia-hua, XU Xiang-de, YAN Xiao-dong, et al(张佳华, 徐祥德, 延晓冬, 等). Journal of Applied Meteorological Science(应用气象学报), 2003, 14(6):745.