Multisensor Data Synergy of Terra-MODIS, Aqua-MODIS, and Suomi NPP-VIIRS for the Retrieval of Aerosol Optical Depth and Land Surface Reflectance Properties
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Xingfa Gu | Tianhai Cheng | Ying Wang | Hao Chen | Shuaiyi Shi | Yu Wu | Hong Guo | Xingfa Gu | T. Cheng | Shuaiyi Shi | Hong Guo | Hao Chen | Ying Wang | Yu Wu
[1] P. R. Bevington,et al. Data Reduction and Error Analysis for the Physical Sciences , 1969 .
[2] J. Ross. The radiation regime and architecture of plant stands , 1981, Tasks for vegetation sciences 3.
[3] P. Deschamps,et al. Influence of the atmosphere on space measurements of directional properties. , 1983, Applied optics.
[4] T. L. Wolfe,et al. An assessment of the impact of pollution on global cloud albedo , 1984 .
[5] J. Roujean,et al. A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data , 1992 .
[6] Alan H. Strahler,et al. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing , 1992, IEEE Trans. Geosci. Remote. Sens..
[7] J. Coakley,et al. Climate Forcing by Anthropogenic Aerosols , 1992, Science.
[8] J. Kiehl,et al. The Relative Roles of Sulfate Aerosols and Greenhouse Gases in Climate Forcing , 1993, Science.
[9] Yoram J. Kaufman,et al. Effect of Amazon smoke on cloud microphysics and albedo - analysis from satellite imagery , 1993 .
[10] R. J. Flowerdew,et al. An approximation to improve accuracy in the derivation of surface reflectances from multi‐look satellite radiometers , 1995 .
[11] E. Vermote,et al. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer , 1997 .
[12] Didier Tanré,et al. Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..
[13] S. Running,et al. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .
[14] Bernard Pinty,et al. Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging , 1998, IEEE Trans. Geosci. Remote. Sens..
[15] Gerrit de Leeuw,et al. Retrieval of aerosol optical depth over land using two‐angle view satellite radiometry during TARFOX , 1998 .
[16] 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..
[17] Alan H. Strahler,et al. An algorithm for the retrieval of albedo from space using semiempirical BRDF models , 2000, IEEE Trans. Geosci. Remote. Sens..
[18] J. Veefkind,et al. Aerosol optical depth over Europe in August 1997 derived from ATSR‐2 data , 2000 .
[19] H. Swenson,et al. Using VIIRS to provide data continuity with MODIS , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).
[20] Alan H. Strahler,et al. Improving MODIS surface BRDF/Albedo retrieval with MISR multiangle observations , 2002, IEEE Trans. Geosci. Remote. Sens..
[21] B. Brunekreef,et al. Air pollution and health , 2002, The Lancet.
[22] O. Boucher,et al. A satellite view of aerosols in the climate system , 2002, Nature.
[23] Michael D. King,et al. Aerosol properties over bright-reflecting source regions , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[24] Nadine Gobron,et al. Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land , 2005 .
[25] E. Vermote,et al. The MODIS Aerosol Algorithm, Products, and Validation , 2005 .
[26] D. Chu,et al. Improving National Air Quality Forecasts with Satellite Aerosol Observations , 2005 .
[27] Yong Xue,et al. Aerosol optical thickness determination by exploiting the synergy of TERRA and AQUA MODIS , 2005 .
[28] R. Dickinson,et al. Analysis of leaf area index products from combination of MODIS Terra and Aqua data , 2006 .
[29] Bernhard Geiger,et al. Spectral Normalization and Fusion of Optical Sensors for the Retrieval of BRDF and Albedo: Application to VEGETATION, MODIS, and MERIS Data Sets , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[30] R. Betts,et al. Changes in Atmospheric Constituents and in Radiative Forcing. Chapter 2 , 2007 .
[31] Marion Schroedter-Homscheidt,et al. Improvements of synergetic aerosol retrieval for ENVISAT , 2008 .
[32] P. North,et al. Aerosol optical depth from dual-view (A)ATSR satellite observations , 2009 .
[33] Christopher Justice,et al. Towards a Generalized Approach for Correction of the BRDF Effect in MODIS Directional Reflectances , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[34] Didier Tanré,et al. Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations , 2010 .
[35] K. Lee,et al. Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days , 2010 .
[36] Yong Xue,et al. Retrieval of aerosol optical depth over bright land surfaces by coupling bidirectional reflectance distribution function model and aerosol retrieval model , 2012 .
[37] Jack Xiong,et al. Terra and Aqua MODIS Instrument Status , 2012 .
[38] Richard Siddans,et al. Use of MODIS-derived surface reflectance data in the ORAC-AATSR aerosol retrieval algorithm: Impact of differences between sensor spectral response functions , 2012 .
[39] Chen Hongbin,et al. Identification of Aerosol Types and Their Optical Properties in the North China Plain Based on Long-Term AERONET Data , 2013 .
[40] Jin Huang,et al. Enhanced Deep Blue aerosol retrieval algorithm: The second generation , 2013 .
[41] Andrew M. Sayer,et al. Validation and uncertainty estimates for MODIS Collection 6 “Deep Blue” aerosol data , 2013 .
[42] José A. Sobrino,et al. Analysis of directional effects on atmospheric correction , 2013 .
[43] L. Remer,et al. The Collection 6 MODIS aerosol products over land and ocean , 2013 .
[44] P. North,et al. Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data , 2014 .
[45] Michael J. Garay,et al. Improving satellite-retrieved aerosol microphysical properties using GOCART data , 2014 .
[46] Edith Rodriguez,et al. Determination of land surface reflectance using the AATSR dual-view capability , 2014 .
[47] B. Stevens. Rethinking the Lower Bound on Aerosol Radiative Forcing , 2015 .
[48] Yi Qin,et al. Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[49] D. Lowe,et al. Aerosol–radiation–cloud interactions in a regional coupled model: the effects of convective parameterisation and resolution , 2015 .
[50] Min Min,et al. Multi-sensor quantification of aerosol-induced variability in warm clouds over eastern China , 2015 .
[51] Robert E. Holz,et al. Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance , 2015 .
[52] W. Verhoef,et al. Multi-temporal, multi-sensor retrieval of terrestrial vegetation properties from spectral–directional radiometric data , 2015 .
[53] A. Lacis,et al. How well do satellite AOD observations represent the spatial and temporal variability of PM2.5 concentration for the United States , 2015 .
[54] Gabriele Curci,et al. Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions , 2015 .
[55] Y. Lee,et al. Uncertainties in global aerosols and climate effects due to biofuel emissions , 2015 .
[56] Yujie Wang,et al. Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States. , 2016, Environmental science & technology.
[57] Christina Kluge,et al. Data Reduction And Error Analysis For The Physical Sciences , 2016 .
[58] Andrew S. Gibson,et al. MOPITT Mechanisms 16 Years In-Orbit Operation on TERRA , 2016 .
[59] 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.
[60] Zhengqiang Li,et al. Retrieval of Aerosol Optical Depth Using the Empirical Orthogonal Functions (EOFs) Based on PARASOL Multi-Angle Intensity Data , 2017, Remote. Sens..
[61] Xingfa Gu,et al. Synergy of MODIS and AATSR for better retrieval of aerosol optical depth and land surface directional reflectance , 2017 .