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A Method for Spaceborne Synthetic Remote Sensing of Atmospheric Aerosol Optical Depth and Vegetation Reflectance


doi: 10.1007/s00376-998-0014-8

  • Spaceborne synthetic remote sensing of atmospheric aerosol optical depth and vegetation reflectance is very sig-nificant, but it remains to be a question unresolved yet. Based on the property of vegetation reflectance spectra from near ultra-violet to near infrared and the sensitivity of outgoing radiance to vegetation reflectance and atmospheric aerosol optical depth, a new method for spaceborne synthetic remote sensing of the reflectance and the depth is pro-posed, and an iteration-correlation inversion algorithm is developed in this paper. According to numerical experi-ment, effects of radiance error, error in aerosol imaginary index and vegetation medium inhomogeneity on retrieved result are analyzed. Inversion results show that the effect of error in aerosol imaginary index is very important. As the error of aerosol imaginary index is within 0.01, standard errors of aerosol optical depth and vegetation reflectance so-lutions for 14 spectral channels, from 410 nm to 900 nm are respectively less than 0.063 and 0.023. And as the radiance error is within 2%, the standard errors are less than 0.023 and 0.0056.
  • [1] Xuehua FAN, Xiang'ao XIA, Hongbin CHEN, 2018: Can MODIS Detect Trends in Aerosol Optical Depth over Land?, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 135-145.  doi: 10.1007/s00376-017-7017-2
    [2] Min ZHAO, Tie DAI, Hao WANG, Qing BAO, Yimin LIU, Hua ZHANG, Guangyu SHI, 2022: Simulating Aerosol Optical Depth and Direct Radiative Effects over the Tibetan Plateau with a High-Resolution CAS FGOALS-f3 Model, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 2137-2155.  doi: 10.1007/s00376-022-1424-8
    [3] Xiaoli XIA, Jinzhong MIN, Feifei SHEN, Yuanbing WANG, Chun YANG, 2019: Aerosol Data Assimilation Using Data from Fengyun-3A and MODIS: Application to a Dust Storm over East Asia in 2011, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1-14.  doi: 10.1007/s00376-018-8075-9
    [4] Qiu Jinhuan, Nobuo Takeuchi, 2001: Effects of Aerosol Vertical Inhomogeneity on the Upwelling Radiance and Satellite Remote Sensing of Surface Reflectance, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 539-553.  doi: 10.1007/s00376-001-0043-z
    [5] Hye-Ryun OH, Chang-Hoi HO, Yong-Sang CHOI, 2013: Comments on ``Direct Radiative Forcing of Anthropogenic Aerosols over Oceans from Satellite Observation", ADVANCES IN ATMOSPHERIC SCIENCES, 30, 10-14.  doi: 10.1007/s00376-012-1218-5
    [6] Xiao ZHANG, Saichun TAN, Guangyu SHI, 2018: Comparison between MODIS-derived Day and Night Cloud Cover and Surface Observations over the North China Plain, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 146-157.  doi: 10.1007/s00376-017-7070-x
    [7] FENG Qian, CUI Songxue, ZHAO Wei, 2015: Effect of Particle Shape on Dust Shortwave Direct Radiative Forcing Calculations Based on MODIS Observations for a Case Study, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1266-1276.  doi: 10.1007/s00376-015-4235-3
    [8] HUO Juan, LU Daren, 2010: Preliminary Retrieval of Aerosol Optical Depth from All-sky Images, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 421-426.  doi: 10.1007/s00376-009-8216-2
    [9] Qiu Jinhuan, 1986: AN APPROXIMATE EXPRESSION OF THE SKY RADIANCE IN ALMUCANTAR AND ITS APPLICATION, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 1-9.  doi: 10.1007/BF02680041
    [10] Huang Runheng, Kuo_Nan Liou, 1984: REMOTE SOUNDING OF THE CIRRUS OPTICAL DEPTH AND TEMPERATURE FROM 3.7 AND 11 MICROMETER WINDOWS, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 150-178.  doi: 10.1007/BF02678128
    [11] GUO Jianping, XUE Yong, CAO Chunxiang, ZHANG Hao, GUANG Jie, ZHANG Xiaoye, LI Xiaowen, 2009: A Synergic Algorithm for Retrieval of Aerosol Optical Depth over Land, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 973-983.  doi: 10.1007/s00376-009-7218-4
    [12] Qiu Jinhuan, Wang Hongqi, Zhou Xiuji, Lu Daren, 1985: EXPERIMENTAL STUDY OF REMOTE SENSING OF ATMOSPHERIC AEROSOL SIZE DISTRIBUTION BY COMBINED SOLAR EXTINCTION AND FORWARD SCATTERING METHOD, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 307-315.  doi: 10.1007/BF02677246
    [13] WANG Han, SUN Xiaobing, SUN Bin, LIANG Tianquan, LI Cuili, and HONG Jin, 2014: Retrieval of Aerosol Optical Properties over a Vegetation Surface Using Multi-angular, Multi-spectral, and Polarized data, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 879-887.  doi: 10.1007/s00376-013-3100-5
    [14] Qiu Jinhuan, Lu Daren, 1991: On Lidar Application for Remote Sensing of the Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 369-378.  doi: 10.1007/BF02919620
    [15] Jun LI, Alan J. GEER, Kozo OKAMOTO, Jason A. OTKIN, Zhiquan LIU, Wei HAN, Pei WANG, 2022: Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 9-21.  doi: 10.1007/s00376-021-1088-9
    [16] Liu Changsheng, 1988: REMOTE SENSING OF TEMPERATURE PROFILES IN THE BOUNDARY LAYER, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 67-74.  doi: 10.1007/BF02657346
    [17] Zhao Bolin, 1990: Study on Microwave Remote Sensing of Atmosphere, Cloud and Rain, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 475-490.  doi: 10.1007/BF03342566
    [18] Lei SONG, Yinan WANG, 2016: A Solely Radiance-based Spectral Angular Distribution Model and Its Application in Deriving Clear-Sky Spectral Fluxes over Tropical Oceans, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 259-268.  doi: 10.1007/s00376-015-5040-8
    [19] Ping YANG, Kuo-Nan LIOU, Lei BI, Chao LIU, Bingqi YI, Bryan A. BAUM, 2015: On the Radiative Properties of Ice Clouds: Light Scattering, Remote Sensing, and Radiation Parameterization, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 32-63.  doi: 10.1007/s00376-014-0011-z
    [20] Swapan MALLICK, Devajyoti DUTTA, Ki-Hong MIN, 2017: Quality Assessment and Forecast Sensitivity of Global Remote Sensing Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 371-382.  doi: 10.1007/s00376-016-6109-8

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Manuscript History

Manuscript received: 10 January 1998
Manuscript revised: 10 January 1998
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Method for Spaceborne Synthetic Remote Sensing of Atmospheric Aerosol Optical Depth and Vegetation Reflectance

  • 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029

Abstract: Spaceborne synthetic remote sensing of atmospheric aerosol optical depth and vegetation reflectance is very sig-nificant, but it remains to be a question unresolved yet. Based on the property of vegetation reflectance spectra from near ultra-violet to near infrared and the sensitivity of outgoing radiance to vegetation reflectance and atmospheric aerosol optical depth, a new method for spaceborne synthetic remote sensing of the reflectance and the depth is pro-posed, and an iteration-correlation inversion algorithm is developed in this paper. According to numerical experi-ment, effects of radiance error, error in aerosol imaginary index and vegetation medium inhomogeneity on retrieved result are analyzed. Inversion results show that the effect of error in aerosol imaginary index is very important. As the error of aerosol imaginary index is within 0.01, standard errors of aerosol optical depth and vegetation reflectance so-lutions for 14 spectral channels, from 410 nm to 900 nm are respectively less than 0.063 and 0.023. And as the radiance error is within 2%, the standard errors are less than 0.023 and 0.0056.

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