1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China 3. National Geomatics Center of China, Beijing 100089, China
Abstract:Dust aerosol can cause the change in the land surface emissivity in split window by radiative forcing (RF). Firstly, the present paper explained from the microscopic point of view the extinction properties of dust aerosols in the 11 and 12 μm channels, and their influence on the land surface emissivity. Secondly, on April 29, 2011, in the northern region of Inner Mongolia a strong sandstorm outbroke, and based on the analysis of the changes in land surface emissivity, this paper proposed a dust identification method by using the variation of emissivity. At last, the dust identification result was evaluated by the dust monitoring product provided by the National Satellite Meteorological Center. The result shows that under the assumption that the 12 μm emissivity equals to 1, using 11 μm relative emissivity could identify dust cover region effectively, and the 11 μm relative emissivity to a certain extent represented the intensity information of dust aerosol.
[1] LI Li, GU Xing-fa, YU Tao, et al(李 莉, 顾行发, 余 涛, 等). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2009, 28: 102. [2] Tom X P, Steve Ackerman, Wei Guo. Remote Sensing, 2010, 2: 2347. [3] Shi Guangyu, Sun Yuanlong. Atmospheric and Oceanic Science Letters, 2010, 3: 111. [4] Legrand M, Plana-Fattori A, N’doume C, et al. Journal of Geophysical Research, 2001, 106: 18251. [5] Brooks N, Legrand M. Advances in Global Change Research, 2003, 6: 1. [6] HU Xiu-qing, LU Nai-meng, ZHANG Peng(胡秀清, 卢乃锰, 张 鹏, 等). Journal of Applied Meteorological Science(应用气象学报), 2007, 18: 266. [7] Zhang Peng, Lu Naimeng, Hu Xiuqing,et al. Global and Planetary Change, 2006, 52: 197. [8] HAI Quan-sheng, BAO Yu-hai, Alatengtuoya, et al(海全胜, 包玉海, 阿拉腾图雅, 等). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2009, 2: 129. [9] Kopek P, Hess M, Schult I, et al. Global Aerosol DataSet. Report No.243, ISSN: 0937-1060. Max-Planck-Institutfür Meteorologie, Hamburg. [10] Omar Ali, Won Jae-Gwang, David M Winker, et al. Journal of Geophysical Research, 2005, 110: D10S14, doi: 10.1029/2004JD004874. [11] QIN Zhi-hao, LI Wen-juan, XU Bin, et al(覃志豪, 李文娟, 徐 斌, 等). Remote Sensing for Land and Resources(国土资源遥感), 2004, 3: 28. [12] Evan A, Heiginger A, Pavlonis M. International Journal of Remote Sensing, 2006, 27: 3903.