| 光谱学与光谱分析 |
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| The Analysis of Consistency between HJ-1B and Landsat 5 TM for Retrieving LST Based on the Single-Channel Algorithm |
| LUO Ju-hua1,2, ZHANG Jing-cheng2,3, HUANG Wen-jiang2*, YANG Gui-jun2, GU Xiao-he2, YANG Hao2 |
1. State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing 100875, China
2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
3. Institute of Agriculture Remote Sensing & Information System Application, Zhejiang University, Hangzhou 310029, China |
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Abstract To ascertain whether the thermal infrared image of HJ-1B which has the similar sensor parameter and setting to Landsat 5 TM6 image is applicable for retrieving the land surface temperature (LST)，a comparison of retrieved LST between two types of sensors was conducted. Two scenes of thermal infrared images that came from different sensors were acquired in 5th, Apr 2009, which covered the same region in Beijing. To retrieve LST, a generalized single-channel algorithm developed by Jiménez-Muoz and Sobrino was applied. The LST of study area for both images was thus generated. Based on the LST mapping results and corresponding statistics, an apparent trend could be observed which indicated the consistency in both LST value and its spatial distribution. Consequently, the performance of HJ-1B IRS serving as the data source for LST retrieval was assessed and illustrated in this study. Besides, a high temporal resolution as well as wide swath of the HJ-IRS data suggested its potential in application.
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Received: 2010-02-10
Accepted: 2010-05-20
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Corresponding Authors:
HUANG Wen-jiang
E-mail: yellowstar0618@163.com
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[1] Jiménez-Muoz J C, Sobrino J A. Journal of Geophysical Research, 2003, 8(D22): 4688.
[2] QIN Zhi-hao, ZHANG Ming-hua, Arnon Karnieli，et al(覃志豪，Zhang Minghua，Arnon Karnieli，等). Acta Geographica Senica(地理学报), 2001, 56(4): 456.
[3] Qin Z, Karnieli A, Berliner P. International Journal of Remote Sensing, 2001, 22(18): 3719.
[4] Ulivieri C, Castromuovo M M, Francioni R, et al. Remote Sensing of Earths Surface and Atmosphere, 1993, 14(3): 59.
[5] Sobrino J A, Li Z L, Stoll M P, et al. International Journal of Remote Sensing, 1996, 17(11): 2089.
[6] Deng W, Wan Y Q, Zhao R C. International Journal of Remote Sensing, 2001, 22: 933.
[7] Roth M, Oke T R, Emery W J. International Journal of Remote Sensing, 1989, 10: 1699.
[8] Gallo K P, MeNab A L, Karl T R, et al. International Journal of Remote Sensing, 1993, 14(11): 2223.
[9] MA Jian-wen, HAN Xiu-zhen, LUO Jing-ning, et al(马建文，韩秀珍, 罗敬宁，等). Geographical Research(地理研究), 2003,22(2): 253.
[10] BAI Jie, LIU Shao-ming, HU Guang(白 洁，刘绍明，扈 光). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2008，24(9): 148.
[11] José A, Sobrino J A, Juan C, et al. Remote Sensing of Environment, 2004, 90(4): 434.
[12] DUAN Si-bo, YAN Guang-jian, QIAN Yong-gang, et al(段四波, 阎广建, 钱永刚, 等). Progress in Natural Science(自然科学进展), 2008, 18(9): 1001.
[13] QIN Zhi-hao, ZHU Wen-juan, XU Bin, et al(覃志豪, 朱文娟, 徐 斌, 等). Remote Sensing for Land ＆ Resources(国土资源遥感), 2004, (3): 28.
[14] MENG Xian-hong, Lü Shi-hua, ZHANG Yu, et al(孟宪红，吕世华，张 宇，等). Advances in Water Science(水科学进展). 2007, 18(2): 264.
[15] LI Hua, ZENG Yong-nian, YUN Pei-dong, et al(历 华, 曾永年, 贠培东, 等). Journal of Remote Sensing(遥感学报), 2007, 11(6): 891.
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