光谱学与光谱分析 |
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Atmospheric Influences Analysis on the Satellite Passive Microwave Remote Sensing |
QIU Yu-bao1, SHI Li-juan2, 4, SHI Jian-cheng2, ZHAO Shao-jie3 |
1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China 2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 3. School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China 4. University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract Passive microwave remote sensing offers its all-weather work capabilities, but atmospheric influences on satellite microwave brightness temperature were different under different atmospheric conditions and environments. In order to clarify atmospheric influences on Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E), atmospheric radiation were simulated based on AMSR-E configuration under clear sky and cloudy conditions, by using radiative transfer model and atmospheric conditions data. Results showed that atmospheric water vapor was the major factor for atmospheric radiation under clear sky condition. Atmospheric transmittances were almost above 0.98 at AMSR-E’s low frequencies (<18.7 GHz) and the microwave brightness temperature changes caused by atmosphere can be ignored in clear sky condition. Atmospheric transmittances at 36.5 and 89 GHz were 0.896 and 0.756 respectively. The effects of atmospheric water vapor needed to be corrected when using microwave high-frequency channels to inverse land surface parameters in clear sky condition. But under cloud cover or cloudy conditions, cloud liquid water was the key factor to cause atmospheric radiation. When sky was covered by typical stratus cloud, atmospheric transmittances at 10.7, 18.7 and 36.5 GHz were 0.942, 0.828 and 0.605 respectively. Comparing with the clear sky condition, the down-welling atmospheric radiation caused by cloud liquid water increased up to 75.365 K at 36.5 GHz. It showed that the atmospheric correction under different clouds covered condition was the primary work to improve the accuracy of land surface parameters inversion of passive microwave remote sensing. The results also provided the basis for microwave atmospheric correction algorithm development. Finally, the atmospheric sounding data was utilized to calculate the atmospheric transmittance of Hailaer Region, Inner Mongolia province, in July 2013. The results indicated that atmospheric transmittances were close to 1 at C-band and X-band. 89 GHz was greatly influenced by water vapor and its atmospheric transmittance was not more than 0.7. Atmospheric transmittances in Hailaer Region had a relatively stable value in summer, but had about 0.1 fluctuations with the local water vapor changes.
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Received: 2014-10-11
Accepted: 2015-02-26
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Corresponding Authors:
QIU Yu-bao
E-mail: qiuyb@radi.ac.cn
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[1] Marco Tedesco, James Wang. IEEE Geoscience and Remote Sensing Letter,2006, 3(3): 320. [2] Matthew H Savoie, Richard L Armstrong, Mary J Brodzik, et al. Remote Sensing of Environment,2009, 113(12): 2661. [3] YAO Zhi-gang, CHEN Hong-bin(姚志刚, 陈洪斌). Journal of the Meteorological Sciences(气象科学),2005, 2(25): 133. [4] Qiu Yubao, Shi Jiangcheng, Jiang Lingmei. IEEE International Geoscience and Remote Sensing Symposium,2007. 1873. [5] Qiu Yubao, Shi Jiangcheng, Lemmetyinen Juha, et al. IEEE International Geoscience and Remote Sensing Symposium, 2009. 610. [6] WANG Yong-qian, FENG Wen-lan, SHI Jian-cheng, et al(王永前,冯文兰,施建成,等). Journal of Infrared and Millimeter Wave(红外与毫米波学报),2014,33(2): 192. [7] HUANG Xing-you, ZHANG Xi, LENG Liang, et al(黄兴友,张 曦,冷 亮,等). Journal of the Meteorological Sciences(气象科学),2013, 33(2): 138. [8] Liebe H J, Hufford G A, Cotton M G. In AGARD,52<sup>nd</sup> Specialists Meeting of the Electromagnetic Wave Propagation Panel, 1993, 1993: 3.1. [9] Kummerow C. Journal of Geophysical Research-Atmospheres,1993, 98(D2): 2757. [10] Kummerow C, Olson W S, Giglio L. IEEE Transactions on Geoscience and Remote Sensing,1996, 34(5): 1213. [11] Olson W S, Bauer P, Viltard N F, et al. Journal of Applied Meteorology,2001, 40(7): 1145. [12] U. S. Standard Atmosphere, U. S. Government Printing Office, Washington, D. C., 1962. [13] ZHOU Jun, LEI Heng-chi, WEI Chong, et al(周 珺, 雷恒池, 魏 重, 等). Chinese Journal of Atmospheric Sciences(大气科学),2008, 32(5): 1071. [14] SHI Li-juan, QIU Yu-bao, SHI Jian-cheng(石利娟, 邱玉宝, 施建成). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2013, 33(5): 1157.
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