22.2.20 Atmospheric, Aerosols, Aerosol Optical Depth, Measurements, Air Quality, Remote Sensing

Chapter Contents (Back)
Aerosols. Air Quality. Pollution. Atmospheric Measurements. Atmospheric. Mostly the general methods, for specific sites:
See also Aerosols, Aerosol Optical Depth, Air Quality, Specific Sites.
See also Atmospheric, Aerosols Measurements with MODIS.
See also Pollution, Particulate, PM2.5.
See also Sulfur Di-Oxide, Sulphur, SO2.
See also Pollution, NOx Measurements, Nitric, Nitrous Oxide, Nitrogen Oxides.
See also Pollution, CO2 Measurements, Carbon Dioxide, Carbon Monoxide.
See also Pollution, Ozone Measurements.
See also Atmospheric, Water Vapor, Precipitable Water Vapor, PWV.
See also Atmospheric, Dust, Dust Storms, Volcanic Ash, Remote Sensing.
See also Land Surface Temperature, Remote Sensing. Changes due to Covid:
See also GIS: GIS for Medical Applications, COVID Specific Tracking, Spread, Analysis.

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Zhang, Y.[Yang], Liu, Z.H.[Zhi-Hong], Wang, Y.Q.[Yong-Qian], Ye, Z.X.[Zhi-Xiang], Leng, L.[Lu],
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Shi, G.M.[Guang-Ming], Li, C.C.[Cheng-Cai], Ren, T.[Tong], Wang, Y.F.[Ye-Fang],
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aerosols BibRef

Gao, F.[Fei], Stanic, S.[Samo], Bergant, K.[Klemen], Li, Y.[Ying], Li, S.[Songhui], Hua, D.X.[Deng-Xin], Wang, L.L.[Long-Long],
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Moon, T.[Taesup], Wang, Y.Q.[Yue-Qing], Liu, Y.[Yang], Yu, B.[Bin],
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Liu, Y.[Yao], Zhang, W.J.[Wen-Juan], Zhang, B.[Bing],
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atmospheric radiation BibRef

Sun, L.[Lin], Wei, J.[Jing], Bilal, M.[Muhammad], Tian, X.P.[Xin-Peng], Jia, C.[Chen], Guo, Y.M.[Ya-Min], Mi, X.T.[Xue-Ting],
Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images,
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DOI Link 1602
BibRef

Chen, W.[Wei], Tang, H.Z.[Hong-Zhao], Zhao, H.M.[Hai-Meng], Yan, L.[Lei],
Analysis of Aerosol Properties in Beijing Based on Ground-Based Sun Photometer and Air Quality Monitoring Observations from 2005 to 2014,
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DOI Link 1603
BibRef

Zhao, X.[Xuepeng], Heidinger, A.K.[Andrew K.], Walther, A.[Andi],
Climatology Analysis of Aerosol Effect on Marine Water Cloud from Long-Term Satellite Climate Data Records,
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DOI Link 1604
BibRef

Hirsch, M.[Michael], Semeter, J.[Joshua], Zettergren, M.[Matthew], Dahlgren, H.[Hanna], Goenka, C.[Chhavi], Akbari, H.[Hassanali],
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Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci),
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DOI Link 1606
BibRef

Chang, I., Christopher, S.A.,
Identifying Absorbing Aerosols Above Clouds From the Spinning Enhanced Visible and Infrared Imager Coupled With NASA A-Train Multiple Sensors,
GeoRS(54), No. 6, June 2016, pp. 3163-3173.
IEEE DOI 1606
aerosols BibRef

Zhang, Y.[Yang], Li, Z.Q.[Zheng-Qiang], Qie, L.[Lili], Hou, W.Z.[Wei-Zhen], Liu, Z.H.[Zhi-Hong], Zhang, Y.[Ying], Xie, Y.S.[Yi-Song], Chen, X.F.[Xing-Feng], Xu, H.[Hua],
Retrieval of Aerosol Optical Depth Using the Empirical Orthogonal Functions (EOFs) Based on PARASOL Multi-Angle Intensity Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhang, Y.[Yang], Li, Z.Q.[Zheng-Qiang], Liu, Z.H.[Zhi-Hong], Zhang, J.[Juan], Qie, L.[Lili], Xie, Y.S.[Yi-Song], Hou, W.Z.[Wei-Zhen], Wang, Y.Q.[Yong-Qian], Ye, Z.X.[Zhi-Xiang],
Retrieval of the Fine-Mode Aerosol Optical Depth over East China Using a Grouped Residual Error Sorting (GRES) Method from Multi-Angle and Polarized Satellite Data,
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DOI Link 1812
BibRef

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Bao, F., Gu, X., Cheng, T., Wang, Y., Guo, H., Chen, H., Wei, X., Xiang, K., Li, Y.,
High-Spatial-Resolution Aerosol Optical Properties Retrieval Algorithm Using Chinese High-Resolution Earth Observation Satellite I,
GeoRS(54), No. 9, September 2016, pp. 5544-5552.
IEEE DOI 1609
aerosols BibRef

Zeng, Y., Li, J., Liu, Q., Huete, A.R., Xu, B., Yin, G., Zhao, J., Yang, L., Fan, W., Wu, S., Yan, K.,
An Iterative BRDF/NDVI Inversion Algorithm Based on A Posteriori Variance Estimation of Observation Errors,
GeoRS(54), No. 11, November 2016, pp. 6481-6496.
IEEE DOI 1610
Aerosols BibRef

Koner, P.K.[Prabhat K.], Harris, A.R.[Andrew R.], Dash, P.[Prasanjit],
A Deterministic Method for Profile Retrievals From Hyperspectral Satellite Measurements,
GeoRS(54), No. 10, October 2016, pp. 5657-5670.
IEEE DOI 1610
atmospheric humidity BibRef

Koner, P.K.[Prabhat K.], Dash, P.[Prasanjit],
Maximizing the Information Content of Ill-Posed Space-Based Measurements Using Deterministic Inverse Method,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Venkata, S.L.[Srikanth L.], Reagan, J.A.[John A.],
Aerosol Retrievals from CALIPSO Lidar Ocean Surface Returns,
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DOI Link 1612
BibRef

Sun, K.[Kun], Chen, X.L.[Xiao-Ling], Zhu, Z.M.[Zhong-Min], Zhang, T.H.[Tian-Hao],
High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Chen, X.[Xi], Yang, D.X.[Dong-Xu], Cai, Z.N.[Zhao-Nan], Liu, Y.[Yi], Spurr, R.J.D.[Robert J. D.],
Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

She, L.[Lu], Mei, L.[Linlu], Xue, Y.[Yong], Che, Y.H.[Ya-Hui], Guang, J.[Jie],
SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

García-Sobrino, J., Serra-Sagristà, J., Laparra, V., Calbet, X., Camps-Valls, G.,
Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression,
GeoRS(55), No. 4, April 2017, pp. 2213-2224.
IEEE DOI 1704
atmospheric techniques BibRef

Sun, Y.C.[Yuan-Chang], Wu, W.[Wensong], Xin, J.[Jack],
Computational modeling of spectral data fitting with nonlinear distortions,
SIViP(11), No. 4, May 2017, pp. 651-658.
Springer DOI 1704
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Go, S.J.[Su-Jung], Kim, M.[Mijin], Kim, J.[Jhoon], Park, S.S.[Sang Seo], Jeong, U.[Ukkyo], Choi, M.J.[Myung-Je],
Detection of Absorbing Aerosol Using Single Near-UV Radiance Measurements from a Cloud and Aerosol Imager,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Wang, Y.[Yang], Chen, L.F.[Liang-Fu], Li, S.S.[Shen-Shen], Wang, X.H.[Xin-Hui], Yu, C.[Chao], Si, Y.[Yidan], Zhang, Z.L.[Zi-Li],
Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Zhong, B.[Bo], Wu, S.L.[Shan-Long], Yang, A.[Aixia], Liu, Q.H.[Qin-Huo],
An Improved Aerosol Optical Depth Retrieval Algorithm for Moderate to High Spatial Resolution Optical Remotely Sensed Imagery,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Zhong, G.S.[Guo-Sheng], Wang, X.F.[Xiu-Feng], Guo, M.[Meng], Tani, H.[Hiroshi], Chittenden, A.R.[Anthony R.], Yin, S.[Shuai], Sun, Z.Y.[Zhong-Yi], Matsumura, S.[Shinji],
A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Zhong, G.S.[Guo-Sheng], Wang, X.F.[Xiu-Feng], Tani, H.[Hiroshi], Guo, M.[Meng], Chittenden, A.R.[Anthony R.], Yin, S.[Shuai], Sun, Z.Y.[Zhong-Yi], Matsumura, S.[Shinji],
A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data,
RS(8), No. 12, 2016, pp. 998.
DOI Link 1612
BibRef

Schwarz, K.[Katharina], Cermak, J.[Jan], Fuchs, J.[Julia], Andersen, H.[Hendrik],
Mapping the Twilight Zone: What We Are Missing between Clouds and Aerosols,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Vicent, J.[Jorge], Sabater, N.[Neus], Verrelst, J.[Jochem], Alonso, L.[Luis], Moreno, J.[Jose],
Assessment of Approximations in Aerosol Optical Properties and Vertical Distribution into FLEX Atmospherically-Corrected Surface Reflectance and Retrieved Sun-Induced Fluorescence,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Qin, W.M.[Wen-Min], Wang, L.C.[Lun-Che], Lin, A.[Aiwen], Zhang, M.[Ming], Bilal, M.[Muhammad],
Improving the Estimation of Daily Aerosol Optical Depth and Aerosol Radiative Effect Using an Optimized Artificial Neural Network,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Tratt, D.M., Young, S.J., Hackwell, J.A., Rudy, D.J., Warren, D.W., Vore, A.G., Johnson, P.D.,
MAHI: An Airborne Mid-Infrared Imaging Spectrometer for Industrial Emissions Monitoring,
GeoRS(55), No. 8, August 2017, pp. 4558-4566.
IEEE DOI 1708
Atmospheric measurements, Atmospheric modeling, Atmospheric waves, Calibration, Gases, Imaging, Water, Atmospheric measurements, infrared image sensors, spectral, analysis BibRef

Tosca, M.G.[Mika G.], Campbell, J.[James], Garay, M.[Michael], Lolli, S.[Simone], Seidel, F.C.[Felix C.], Marquis, J.[Jared], Kalashnikova, O.[Olga],
Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Nalli, N.R., Gambacorta, A., Liu, Q., Barnet, C.D.[Christopher D.], Tan, C., Iturbide-Sanchez, F., Reale, T., Sun, B., Wilson, M., Borg, L., Morris, V.R.,
Validation of Atmospheric Profile Retrievals From the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 1: Temperature and Moisture,
GeoRS(56), No. 1, January 2018, pp. 180-190.
IEEE DOI 1801
atmospheric humidity, atmospheric temperature, radiosondes, remote sensing, statistical analysis, weather forecasting, soundings BibRef

Nalli, N.R., Gambacorta, A., Liu, Q., Tan, C., Iturbide-Sanchez, F., Barnet, C.D.[Christopher D.], Joseph, E., Morris, V.R., Oyola, M., Smith, J.W.,
Validation of Atmospheric Profile Retrievals from the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 2: Ozone,
GeoRS(56), No. 1, January 2018, pp. 598-607.
IEEE DOI 1801
atmospheric composition, ozone, remote sensing, statistical analysis, weather forecasting, satellite applications BibRef

Smith, N.[Nadia], Barnet, C.D.[Christopher D.],
Uncertainty Characterization and Propagation in the Community Long-Term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS),
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DOI Link 1906
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Xie, X.Z.[Xing-Zhe], Semanjski, I.[Ivana], Gautama, S.[Sidharta], Tsiligianni, E.[Evaggelia], Deligiannis, N.[Nikos], Rajan, R.T.[Raj Thilak], Pasveer, F.[Frank], Philips, W.[Wilfried],
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DOI Link 1801
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Xie, Y., Xue, Y., Che, Y., Guang, J., Mei, L., Voorhis, D., Fan, C., She, L., Xu, H.,
Ensemble of ESA/AATSR Aerosol Optical Depth Products Based on the Likelihood Estimate Method With Uncertainties,
GeoRS(56), No. 2, February 2018, pp. 997-1007.
IEEE DOI 1802
aerosols, atmospheric optics, atmospheric techniques, maximum likelihood estimation, mean square error methods, ensemble BibRef

Chazette, P.[Patrick], Totems, J.[Julien],
Mini N2-Raman Lidar Onboard Ultra-Light Aircraft for Aerosol Measurements: Demonstration and Extrapolation,
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Rouquié, B.[Bastien], Hagolle, O.[Olivier], Bréon, F.M.[François-Marie], Boucher, O.[Olivier], Desjardins, C.[Camille], Rémy, S.[Samuel],
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Lee, S.J.[Su Jeong], Ahn, M.H.[Myoung-Hwan], Chung, S.R.[Sung-Rae],
Atmospheric Profile Retrieval Algorithm for Next Generation Geostationary Satellite of Korea and Its Application to the Advanced Himawari Imager,
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Schläpfer, D.[Daniel], Hueni, A.[Andreas], Richter, R.[Rudolf],
Cast Shadow Detection to Quantify the Aerosol Optical Thickness for Atmospheric Correction of High Spatial Resolution Optical Imagery,
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Kim, M.[Mijin], Kim, J.[Jhoon], Torres, O.[Omar], Ahn, C.W.[Chang-Woo], Kim, W.[Woogyung], Jeong, U.[Ukkyo], Go, S.[Sujung], Liu, X.[Xiong], Moon, K.J.[Kyung Jung], Kim, D.R.[Deok-Rae],
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Witek, M.L., Diner, D.J., Garay, M.J., Xu, F., Bull, M.A., Seidel, F.C.,
Improving MISR AOD Retrievals With Low-Light-Level Corrections for Veiling Light,
GeoRS(56), No. 3, March 2018, pp. 1251-1268.
IEEE DOI 1804
aerosols, atmospheric optics, clouds, remote sensing, AOD overestimation, Antarctica, MAN observations, stray light BibRef

Xu, J.[Jian], Schreier, F.[Franz], Wetzel, G.[Gerald], de Lange, A.[Arno], Birk, M.[Manfred], Trautmann, T.[Thomas], Doicu, A.[Adrian], Wagner, G.[Georg],
Performance Assessment of Balloon-Borne Trace Gas Sounding with the Terahertz Channel of TELIS,
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Zhang, C.[Chao], Yan, J.C.[Jun-Chi], Li, C.S.[Chang-Sheng], Wu, H.[Hao], Bie, R.F.[Rong-Fang],
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MVA(29), No. 4, May 2018, pp. 601-615.
Springer DOI 1805
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Kikuchi, M., Murakami, H., Suzuki, K., Nagao, T.M., Higurashi, A.,
Improved Hourly Estimates of Aerosol Optical Thickness Using Spatiotemporal Variability Derived From Himawari-8 Geostationary Satellite,
GeoRS(56), No. 6, June 2018, pp. 3442-3455.
IEEE DOI 1806
Aerosols, Clouds, Land surface, Pollution measurement, Spatiotemporal phenomena, Aerosols, algorithms, remote sensing, satellites BibRef

Lim, H.[Hyunkwang], Choi, M.J.[Myung-Je], Kim, J.[Jhoon], Kasai, Y.[Yasuko], Chan, P.W.[Pak Wai],
AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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de Donato, P.[Philippe], Barres, O.[Odile], Sausse, J.[Judith], Martin, D.[Delphine],
Near Real-Time Ground-to-Ground Infrared Remote-Sensing Combination and Inexpensive Visible Camera Observations Applied to Tomographic Stack Emission Measurements,
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DOI Link 1806
Evaluation of the environmental impact of gas plumes from stack emissions. BibRef

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Retrieval of Aerosol Components Using Multi-Wavelength Mie-Raman Lidar and Comparison with Ground Aerosol Sampling,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Bhatia, N.[Nitin], Tolpekin, V.A.[Valentyn A.], Stein, A.[Alfred], Reusen, I.[Ils],
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RS(10), No. 6, 2018, pp. xx-yy.
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Aerosol Optical Depth. BibRef

Cecilia, J.M., Timón, I., Soto, J., Santa, J., Pereñíguez, F., Muñoz, A.,
High-Throughput Infrastructure for Advanced ITS Services: A Case Study on Air Pollution Monitoring,
ITS(19), No. 7, July 2018, pp. 2246-2257.
IEEE DOI 1807
Big Data, Computer architecture, Heterogeneous networks, Monitoring, Pollution, Real-time systems, Sensors, HPC, intelligent transport systems BibRef

Martin, R.K., Keyser, C., Ausley, L., Steinke, M.,
LADAR System and Algorithm Design for Spectropolarimetric Scene Characterization,
GeoRS(56), No. 7, July 2018, pp. 3735-3746.
IEEE DOI 1807
Atmospheric measurements, Detectors, Imaging, Laser excitation, Laser radar, Nonlinear optics, Stimulated emission, Laser radar, polarimetry BibRef

Balzarolo, M.[Manuela], Peñuelas, J.[Josep], Filella, I.[Iolanda], Portillo-Estrada, M.[Miguel], Ceulemans, R.[Reinhart],
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How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models?,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Che, Y.H.[Ya-Hui], Mei, L.[Linlu], Xue, Y.[Yong], Guang, J.[Jie], She, L.[Lu], Li, Y.[Ying],
Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms: Part 1: Global Evaluation,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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And: Heckel, A.[Andreas], North, P.[Peter], Correction: RS(11), No. 5, 2019, pp. xx-yy.
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You, Y., Lu, C., Wang, W., Tang, C.,
Relative CNN-RNN: Learning Relative Atmospheric Visibility From Images,
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Ou, Y.[Yang], Li, L.[Lei], Li, Z.Q.[Zheng-Qiang], Zhang, Y.[Ying], Dubovik, O.[Oleg], Derimian, Y.[Yevgeny], Chen, C.[Cheng], Fuertes, D.[David], Xie, Y.S.[Yi-Song], Lopatin, A.[Anton], Ducos, F.[Fabrice], Peng, Z.[Zongren],
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Training, Climate change, Visualization, Satellites, Uncertainty, Roads, Estimation BibRef

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Calassou, G., Foucher, P.Y., Leon, J.F.,
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ICIVC20(296-302)
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Air quality, Convolution, Neural networks, Indexes, Data models, Biological system modeling, air quality inference BibRef

Zhang, T., Dick, R.P.,
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ICIP19(2060-2064)
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Air Quality, Light Attenuation, Support Vector Regression, Atmospheric Modeling BibRef

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ICPR18(471-476)
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Air pollution, Feature extraction, Atmospheric measurements, Pollution measurement, Convolutional neural networks, Scattering, Training BibRef

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Yoshida, T., Wasenmüller, O., Stricker, D.,
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ICIP17(1955-1959)
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Automotive engineering, Gaussian distribution, Gaussian mixture model, Mathematical model, Solids, Standards, image processing BibRef

Luffarelli, M., Govaerts, Y., Goossens, C., Wolters, E.L.A., Swinnen, E.,
Joint retrieval of surface reflectance and aerosol properties from PROBA-V observations, part I: Algorithm performance evaluation,
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And: A4, A5, A1, A3, A2:
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MultiTemp17(1-4)
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aerosols, PROBA-V observations, aerosol properties, algorithm performance evaluation, atmospheric state variables, joint retrieval. aerosols, atmospheric optics, AOT observations, Aerosol Optical Thickness, validation BibRef

Eu, K.S.[Kok Seng], Yap, K.M.[Kian Meng], Tan, W.C.[Wan Chew],
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Presles, B., Debayle, J.,
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Atmospheric measurements, Noise measurement, Particle measurements, Robustness, Sensitivity, Shape, Shape, measurement BibRef

Ghosh, R., Ghosh, D., Roy, S., Mukherjee, A.,
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air pollution control BibRef

Marais, W., Holz, R., Hu, Y.H., Willett, R.,
Atmospheric lidar imaging and poisson inverse problems,
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Imaging BibRef

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Multiple-Scattering Microphysics Tomography,
CVPR17(5797-5806)
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Atmospheric modeling, Clouds, Computational modeling, Mathematical model, Scattering, Tomography BibRef

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Airborne Three-Dimensional Cloud Tomography,
ICCV15(3379-3387)
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Atmospheric modeling BibRef

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Clouds in the Cloud,
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ICAPR15(1-5)
IEEE DOI 1511
aerosols BibRef

Julien, Y., Sobrino, J.A.,
CloudSim: A fair benchmark for comparison of methods for times series reconstruction from cloud and atmospheric contamination,
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IEEE DOI 1511
clouds BibRef

Liu, G.L.[Gui-Liang],
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Bayes methods BibRef

Bhattacharjee, S., Ghosh, S.K.,
Exploring spatial dependency of meteorological attributes for multivariate analysis: A granger causality test approach,
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Aerosols, Aerosol Optical Depth, Air Quality, Specific Sites .


Last update:Nov 1, 2021 at 09:26:50