A new approach to retrieve aerosol optical thickness from AATSR over land

被引:0
|
作者
Guo, Jianping [1 ]
Xue, Yong [1 ]
Guang, Jie [1 ]
Bai, Linyan [1 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
关键词
AATSR; AERONET; AOT; land;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, an innovative method for simultaneous retrieval of AOT at 0.55 and 0.66 mu m from Advanced Along-Track Scanning Radiometer (AATSR) TOA radiance is presented which exploits multi-spectral and dual-angle view capabilities, based on the fact that the consistent angular dependence of reflectance exists in a certain spectrum and is invariable with wavelength. No assumptions are required about the land surface spectral properties, thus allowing for quantitative regional mapping of aerosol over virtually arbitrary land surface. This study uses the dual-angle 0.55-, 0.66-, and 1.6 mu m channel data from the AATSR on board ENVISAT to retrieve AOT over bright land like acrid, semi-acrid areas, and urban areas. Validation was performed over Beijing of China against AErosol RObotic NETwork (AERONET) ground-based Sun-photometer data, which shows good agreement between the AATSR-derived estimates of AOT and the sun-photometer measurements. Pearson's correlation coefficient, r(2), are 0.81 and 0.83 at nadir and forward view, respectively for 0.55 mu m and 0.88 and 0.81 for 0.66 mu m for 22 cases combined. Moreover, the algorithm is applied at region scales, thus resulting in AOT maps covering Beijing, demonstrating the great potential over bright land surface at global scales for atmosphere correction and as important climate model input parameters.
引用
收藏
页码:4264 / 4267
页数:4
相关论文
共 50 条
  • [21] Aerosol optical depth and land surface reflectance from Multiangle AATSR measurements: Global validation and intersensor comparisons
    Grey, William M. F.
    North, Peter R. J.
    Los, Sietse O.
    Mitchell, Ross M.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (08): : 2184 - 2197
  • [22] Synergy of MODIS and AATSR for better retrieval of aerosol optical depth and land surface directional reflectance
    Shi, Shuaiyi
    Cheng, Tianhai
    Gu, Xingfa
    Chen, Hao
    Guo, Hong
    Wang, Ying
    Bao, Fangwen
    Xu, Binren
    Wang, Wannan
    Zuo, Xin
    Meng, Can
    Zhang, Xiaochuan
    REMOTE SENSING OF ENVIRONMENT, 2017, 195 : 130 - 141
  • [23] A new algorithm to retrieve aerosol over the gulf of cambay in India
    Okada Y.
    Mukai S.
    Sano I.
    Journal of the Indian Society of Remote Sensing, 2002, 30 (1-2) : 81 - 86
  • [24] On the Use of CALIPSO Land Surface Returns to Retrieve Aerosol and Cloud Optical Depths
    Josset, D.
    Pelon, J.
    Pascal, N.
    Hu, Y.
    Hou, W.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (06): : 3256 - 3264
  • [25] Validating a new algorithm for estimating aerosol optical depths over land from MODIS imagery
    Zhong, B.
    Liang, S.
    Holben, B.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (18) : 4207 - 4214
  • [26] Simultaneous Retrieval of Aerosol Optical Thickness and Exponent of Junge Power-law From AATSR L1B
    Zhu Lin
    Xu Qingshan
    Sun Xiongwei
    Cheng Chen
    Fan Chuanyu
    Yang Lei
    OCEAN OPTICS AND INFORMATION TECHNOLOGY, 2018, 10850
  • [27] Retrieval of aerosol microphysical and optical properties over land using a multimode approach
    Fu, Guangliang
    Hasekamp, Otto
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (12) : 6627 - 6650
  • [28] The inter-comparison of AATSR dual-view aerosol optical thickness retrievals with results from various algorithms and instruments
    Kokhanovsky, A. A.
    Curier, R. L.
    De Leeuw, G.
    Grey, W. M. F.
    Lee, K. -H.
    Bennouna, Y.
    Schoemaker, R.
    North, P. R. J.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (17) : 4525 - 4537
  • [29] A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR
    Bevan, Suzanne L.
    North, Peter R. J.
    Los, Sietse O.
    Grey, William M. F.
    REMOTE SENSING OF ENVIRONMENT, 2012, 116 : 199 - 210
  • [30] Retrieval of aerosol optical thickness from NOAA/AVHRR data and its application to the derivation over land area in Chiba
    Asakuma, K
    Otsutsumi, S
    Kubota, T
    Yabuki, M
    Kuze, H
    Takeuchi, N
    OPTICAL REMOTE SENSING OF THE ATMOSPHERE AND CLOUDS II, 2001, 4150 : 290 - 298