Ensemble of ESA/AATSR Aerosol Optical Depth Products Based on the Likelihood Estimate Method With Uncertainties
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Yong Xue | Jie Guang | Linlu Mei | Hui Xu | Cheng Fan | Lu She | Yahui Che | Yanqing Xie | Dave Voorhis | Yong Xue | J. Guang | L. Mei | Hui Xu | Y. Che | C. Fan | L. She | Yanqing Xie | Dave Voorhis
[1] C. Varotsos,et al. Impacts of climate warming on atmospheric phase transition mechanisms , 2017, Theoretical and Applied Climatology.
[2] Didier Tanré,et al. Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis , 2015 .
[3] R. J. Flowerdew,et al. Retrieval of aerosol optical thickness over land using the ATSR‐2 Dual‐Look Satellite Radiometer , 1996 .
[4] M. Nirala,et al. Technical Note: Multi‐sensor data fusion of aerosol optical thickness , 2008 .
[5] Alexander Smirnov,et al. Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .
[6] Linlu Mei,et al. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results. , 2017, Remote sensing of environment.
[7] Sundar A. Christopher,et al. Multisensor Data Product Fusion for Aerosol Research , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[8] Ralph A. Kahn,et al. A geostatistical data fusion technique for merging remote sensing and ground‐based observations of aerosol optical thickness , 2010 .
[9] Peter R. J. North,et al. Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multiangle imagery , 1999, IEEE Trans. Geosci. Remote. Sens..
[10] N. Cressie,et al. Spatial Statistical Data Fusion for Remote Sensing Applications , 2012 .
[11] Zhengqiang Li,et al. Remote sensing of atmospheric fine particulate matter (PM2.5) mass concentration near the ground from satellite observation , 2015 .
[12] T. Eck,et al. Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .
[13] B. Holben,et al. Validation of MODIS aerosol retrieval over ocean , 2002 .
[14] Yanchen Bo,et al. Spatiotemporal fusion of multiple‐satellite aerosol optical depth (AOD) products using Bayesian maximum entropy method , 2016 .
[15] P. Goloub,et al. Comparison of the aerosol optical properties and size distribution retrieved by sun photometer with in situ measurements at midlatitude , 2016 .
[16] Jinyuan Xin,et al. The empirical correlations between PM2.5, PM10 and AOD in the Beijing metropolitan region and the PM2.5, PM10 distributions retrieved by MODIS. , 2016, Environmental pollution.
[17] Yong Xue,et al. Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products overChina , 2016 .
[18] A. Cracknell,et al. Remote sounding of minor constituents in the stratosphere and heterogeneous reactions of gases at solid interfaces , 1994 .
[19] Dorit Hammerling,et al. Geostatistical inverse modeling for super-resolution mapping of continuous spatial processes , 2013 .
[20] Yuehua Wu,et al. Penalized Maximal t Test for Detecting Undocumented Mean Change in Climate Data Series , 2007 .
[21] Y. Kaufman,et al. Passive remote sensing of tropospheric aerosol and atmospheric , 1997 .
[22] Yong Xue,et al. Observation of an agricultural biomass burning in central and east China using merged aerosol optical depth data from multiple satellite missions , 2014 .
[23] Gerrit de Leeuw,et al. Retrieval of aerosol optical depth over land using two‐angle view satellite radiometry during TARFOX , 1998 .
[24] Roy G. Grainger,et al. Atmospheric Measurement Techniques A sea surface reflectance model for ( A ) ATSR , and application to aerosol retrievals , 2010 .
[25] Yunmei Li,et al. An Improved Land Target-Based Atmospheric Correction Method for Lake Taihu , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[26] Robert C. Levy,et al. MODIS Collection 6 aerosol products: Comparison between Aqua's e‐Deep Blue, Dark Target, and “merged” data sets, and usage recommendations , 2014 .
[27] A. Kokhanovsky,et al. Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments , 2007, Atmospheric Research.
[28] M. Lianou,et al. Long-term visibility variation in Athens (1931–2013): a proxy forlocal and regional atmospheric aerosol loads , 2016 .
[29] Yang Liu,et al. Statistical data fusion of multi-sensor AOD over the Continental United States , 2014 .
[30] Yong Xue,et al. A consistent aerosol optical depth (AOD) dataset over mainland China by integration of several AOD products , 2015 .
[31] Yan Yin,et al. Long-term (2002–2014) evolution and trend in Collection 5.1 Level-2 aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta , 2016 .
[32] Costas A. Varotsos,et al. New aspects of global climate-dynamics research and remote sensing , 2011 .
[33] Sietse O. Los,et al. A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR , 2012 .
[34] J. Luvall,et al. Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system , 2009 .
[35] Lei Yan,et al. Analysis of Aerosol Radiative Forcing over Beijing under Different Air Quality Conditions Using Ground-Based Sun-Photometers between 2013 and 2015 , 2016, Remote. Sens..
[36] G. Leeuw,et al. Aerosol Climate Time Series in ESA Aerosol_cci , 2016 .
[37] Yong Xue,et al. China Collection 2.0: The aerosol optical depth dataset from the synergetic retrieval of aerosol properties algorithm , 2014 .
[38] Richard Siddans,et al. Oxford-RAL Aerosol and Cloud (ORAC): aerosol retrievals from satellite radiometers , 2009 .
[39] Zengzhou Hao,et al. A Unified Algorithm for the Atmospheric Correction of Satellite Remote Sensing Data over Land and Ocean , 2016, Remote. Sens..
[40] Xiaoyan Ma,et al. Can MODIS AOD be employed to derive PM2.5 in Beijing-Tianjin-Hebei over China? , 2016 .
[41] Gerrit de Leeuw,et al. The ADV/ASV AATSR aerosol retrieval algorithm: current status and presentation of a full-mission AOD dataset , 2016, Int. J. Digit. Earth.
[42] Carsten Brockmann,et al. Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data , 2016 .
[43] B. Holben,et al. A spatio‐temporal approach for global validation and analysis of MODIS aerosol products , 2002 .