22.1.4.33 Atmospheric, Aerosols, Measurements, Air Quality, Remote Sensing

Chapter Contents (Back)
Aerosols. Air Quality. Pollution. Atmospheric Measurements. Atmospheric. See also Pollution, Particulate, PM2.5. See also Atmospheric, Water Vapor, Precipitable Water Vapor, PWV. See also Atmospheric, Dust, Dust Storms, Volcanic Ash, Remote Sensing. See also Surface Temperature, Atmospheric Measurements, Remote Sensing.

Brennan, J.I., Kaufman, Y.J., Koren, I., Li, R.R.,
Aerosol-Cloud Interaction: Misclassification of MODIS Clouds in Heavy Aerosol,
GeoRS(43), No. 4, April 2005, pp. 911-911.
IEEE Abstract. 0501
BibRef

Loughner, C.P.[Christopher P.], Lary, D.J.[David J.], Sparling, L.C.[Lynn C.], Cohen, R.C.[Ronald C.], DeCola, P.[Phil], Stockwell, W.R.,
A Method to Determine the Spatial Resolution Required to Observe Air Quality From Space,
GeoRS(45), No. 5, May 2007, pp. 1308-1314.
IEEE DOI 0704
BibRef

Davies, W.H., North, P.R.J., Grey, W.M.F., Barnsley, M.J.,
Improvements in Aerosol Optical Depth Estimation Using Multiangle CHRIS/PROBA Images,
GeoRS(48), No. 1, January 2010, pp. 18-24.
IEEE DOI 1001
BibRef

Schutgens, N., Nakata, M., Nakajima, T.,
Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model,
RS(4), No. 11, November 2012, pp. 3528-3543.
DOI Link 1211
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Hoffmann, A., Clifford, D., Aulinas, J., Carton, J., Deconinck, F., Esen, B., Hüsing, J., Kern, K., Kox, S., Krejci, D., Krings, T., Lohrey, S., Romano, P., Topham, R., Weitnauer, C.,
A Novel Satellite Mission Concept for Upper Air Water Vapour, Aerosol and Cloud Observations Using Integrated Path Differential Absorption LiDAR Limb Sounding,
RS(4), No. 4, April 2012, pp. 867-910.
DOI Link 1202
BibRef

Schaap, M.[Martijn], Kranenburg, R.[Richard], Curier, L.[Lyana], Jozwicka, M.[Magdalena], Dammers, E.[Enrico], Timmermans, R.[Renske],
Assessing the Sensitivity of the OMI-NO2 Product to Emission Changes across Europe,
RS(5), No. 9, 2013, pp. 4187-4208.
DOI Link 1310
BibRef

Grogan, K.[Kenneth], Fensholt, R.[Rasmus],
Exploring Patterns and Effects of Aerosol Quantity Flag Anomalies in MODIS Surface Reflectance Products in the Tropics,
RS(5), No. 7, 2013, pp. 3495-3515.
DOI Link 1308
BibRef

Kanike, R.K.[Raghavendra Kumar], Sivakumar, V.[Venkataraman], Reddy, R.R.[Rajuru Ramakrishna], Gopal, K.R.[Kotalo Rama],
Remote sensing of atmospheric aerosols in South Africa,
SPIE(Newsroom), May 30, 2013
DOI Link 1308
Optical and physical properties of aerosols are measured using a sun photometer to help understand the meteorology of an aerosol hotspot region. BibRef

Themistocleous, K.[Kyriacos], Hadjimitsis, D.G.[Diofantos G.],
Development of an image based integrated method for determining and mapping aerosol optical thickness (AOT) over urban areas using the darkest pixel atmospheric correction method, RT equation and GIS: A case study of the Limassol area in Cyprus,
PandRS(86), No. 1, 2013, pp. 1-10.
Elsevier DOI 1312
AOT BibRef

Nelson, D.L.[David L.], Garay, M.J.[Michael J.], Kahn, R.A.[Ralph A.], Dunst, B.A.[Ben A.],
Stereoscopic Height and Wind Retrievals for Aerosol Plumes with the MISR INteractive eXplorer (MINX),
RS(5), No. 9, 2013, pp. 4593-4628.
DOI Link 1310
BibRef

Rajasegarar, S., Havens, T.C., Karunasekera, S., Leckie, C., Bezdek, J.C., Jamriska, M., Gunatilaka, A., Skvortsov, A., Palaniswami, M.,
High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors,
GeoRS(52), No. 7, July 2014, pp. 3823-3832.
IEEE DOI 1403
Atmospheric modeling BibRef

Li, L.L.[Li-Li], Yang, J.X.[Jing-Xue], Wang, Y.P.[Yun-Peng],
An improved dark object method to retrieve 500 m-resolution AOT (Aerosol Optical Thickness) image from MODIS data: A case study in the Pearl River Delta area, China,
PandRS(89), No. 1, 2014, pp. 1-12.
Elsevier DOI 1403
Aerosol BibRef

He, J.L.[Jun-Liang], Zha, Y.[Yong], Zhang, J.H.[Jia-Hua], Gao, J.[Jay],
Aerosol Indices Derived from MODIS Data for Indicating Aerosol-Induced Air Pollution,
RS(6), No. 2, 2014, pp. 1587-1604.
DOI Link 1403
BibRef

Zawadzka, O.[Olga], Markowicz, K.[Krzysztof],
Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data,
RS(6), No. 8, 2014, pp. 7182-7211.
DOI Link 1410
BibRef

Zhang, Y.[Yang], Liu, Z.H.[Zhi-Hong], Wang, Y.Q.[Yong-Qian], Ye, Z.X.[Zhi-Xiang], Leng, L.[Lu],
Inversion of Aerosol Optical Depth Based on the CCD and IRS Sensors on the HJ-1 Satellites,
RS(6), No. 9, 2014, pp. 8760-8778.
DOI Link 1410
BibRef

Landulfo, E.[Eduardo], Nakaema, W.M.[Walter M.], Larroza, E.G.[Eliane G.], da Costa, R.F.[Renata F.], Rodrigues, P.F.[Patricia F.], de Almeida, G.A.[Gregori A.], de Almeida Correia Junior, P.[Paulo], de Souza Barros, H.D.A.[Hebert D. A.], da Silva Lopes, F.J.[Fabio J.],
Atmospheric aerosol measurements in São Paulo, Brazil,
SPIE(Newsroom), August 26, 2014.
DOI Link 1410
New lidar systems and algorithms permit in situ real-time monitoring as part of a global network. BibRef

Shi, J.C.[Jian-Cheng], Zhao, T.J.[Tian-Jie], Du, J.Y.[Jin-Yang], Ji, D.B.[Da-Bin], Xiong, C.[Chuan], Dong, X.L.[Xiao-Long], Liu, H.[Hao], Wang, Z.Z.[Zhen-Zhan], Jiang, L.M.[Ling-Mei], Du, Y.[Yang],
Observing Earth's water cycle from space,
SPIE(Newsroom), November 7, 2014.
DOI Link 1501
A satellite system comprising active and passive microwave remote sensors enables synchronous accurate acquisition of key elements in the Earth's water cycle. BibRef

Li, L.L.[Li-Li], Yang, J.X.[Jing-Xue], Wang, Y.P.[Yun-Peng],
Retrieval of High-Resolution Atmospheric Particulate Matter Concentrations from Satellite-Based Aerosol Optical Thickness over the Pearl River Delta Area, China,
RS(7), No. 6, 2015, pp. 7914.
DOI Link 1507
BibRef

Shi, G.M.[Guang-Ming], Li, C.C.[Cheng-Cai], Ren, T.[Tong], Wang, Y.F.[Ye-Fang],
Retrieval of Atmospheric Aerosol and Surface Properties Over Land Using Satellite Observations,
GeoRS(53), No. 2, February 2015, pp. 1039-1047.
IEEE DOI 1411
aerosols BibRef

Han, G.[Ge], Gong, W.[Wei], Lin, H.[Hong], Ma, X.[Xin], Xiang, Z.C.[Zhi-Cheng],
Study on Influences of Atmospheric Factors on Vertical CO_2 Profile Retrieving From Ground-Based DIAL at 1.6 mu-m,
GeoRS(53), No. 6, June 2015, pp. 3221-3234.
IEEE DOI 1503
Micro-meters. aerosols BibRef

Qie, L.[Lili], Li, Z.Q.[Zheng-Qiang], Sun, X.B.[Xiao-Bing], Sun, B.[Bin], Li, D.H.[Dong-Hui], Liu, Z.[Zhao], Huang, W.[Wei], Wang, H.[Han], Chen, X.F.[Xing-Feng], Hou, W.Z.[Wei-Zhen], Qiao, Y.L.[Yan-Li],
Improving Remote Sensing of Aerosol Optical Depth over Land by Polarimetric Measurements at 1640 nm: Airborne Test in North China,
RS(7), No. 5, 2015, pp. 6240-6256.
DOI Link 1506
BibRef

Wang, H.[Han], Yang, L.[Leiku], Deng, A.[Anjian], Du, W.B.[Wei-Bing], Liu, P.[Pei], Sun, X.B.[Xiao-Bing],
Remote Sensing of Aerosol Optical Depth Using an Airborne Polarimeter over North China,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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],
Application of the Ultraviolet Scanning Elastic Backscatter LiDAR for the Investigation of Aerosol Variability,
RS(7), No. 5, 2015, pp. 6320-6335.
DOI Link 1506
BibRef

Moon, T.[Taesup], Wang, Y.Q.[Yue-Qing], Liu, Y.[Yang], Yu, B.[Bin],
Evaluation of a MISR-Based High-Resolution Aerosol Retrieval Method Using AERONET DRAGON Campaign Data,
GeoRS(53), No. 8, August 2015, pp. 4328-4339.
IEEE DOI 1506
Bayes methods BibRef

Tomasi, C.[Claudio], Petkov, B.H.[Boyan H.], Mazzola, M.[Mauro], Ritter, C.[Christoph], di Sarra, A.G.[Alcide G.], di Iorio, T.[Tatiana], del Guasta, M.[Massimo],
Seasonal Variations of the Relative Optical Air Mass Function for Background Aerosol and Thin Cirrus Clouds at Arctic and Antarctic Sites,
RS(7), No. 6, 2015, pp. 7157.
DOI Link 1507
BibRef

Mousivand, A.[Alijafar], Verhoef, W.[Wout], Menenti, M.[Massimo], Gorte, B.[Ben],
Modeling Top of Atmosphere Radiance over Heterogeneous Non-Lambertian Rugged Terrain,
RS(7), No. 6, 2015, pp. 8019.
DOI Link 1507
BibRef

Wang, S.P.[Shu-Peng], Fang, L.[Li], Zhang, X.Y.[Xing-Ying], Wang, W.H.[Wei-He],
Retrieval of Aerosol Properties for Fine/Coarse Mode Aerosol Mixtures over Beijing from PARASOL Measurements,
RS(7), No. 7, 2015, pp. 9311.
DOI Link 1506
BibRef

Tirelli, C.[Cecilia], Curci, G.[Gabriele], Manzo, C.[Ciro], Tuccella, P.[Paolo], Bassani, C.[Cristiana],
Effect of the Aerosol Model Assumption on the Atmospheric Correction over Land: Case Studies with CHRIS/PROBA Hyperspectral Images over Benelux,
RS(7), No. 7, 2015, pp. 8391.
DOI Link 1506
BibRef

Xie, Y.S.[Yi-Song], Li, Z.Q.[Zheng-Qiang], Li, D.H.[Dong-Hui], Xu, H.[Hua], Li, K.[Kaitao],
Aerosol Optical and Microphysical Properties of Four Typical Sites of SONET in China Based on Remote Sensing Measurements,
RS(7), No. 8, 2015, pp. 9928.
DOI Link 1509
BibRef

Qin, Y.[Yi], Mitchell, R., Forgan, B.W.,
Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR,
GeoRS(53), No. 11, November 2015, pp. 6163-6182.
IEEE DOI 1509
Green's function methods BibRef

Chen, H.[Hao], Cheng, T.H.[Tian-Hai], Gu, X.F.[Xing-Fa], Li, Z.Q.[Zheng-Qiang], Wu, Y.[Yu],
Evaluation of Polarized Remote Sensing of Aerosol Optical Thickness Retrieval over China,
RS(7), No. 10, 2015, pp. 13711.
DOI Link 1511
BibRef

Djuric, N.[Nemanja], Kansakar, L.[Lakesh], Vucetic, S.[Slobodan],
Semi-supervised combination of experts for aerosol optical depth estimation,
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Elsevier DOI 1512
Combination of experts BibRef

Rosser, K.[Kent], Pavey, K.[Karl], FitzGerald, N.[Nicholas], Fatiaki, A.[Anselm], Neumann, D.[Daniel], Carr, D.[David], Hanlon, B.[Brian], Chahl, J.[Javaan],
Autonomous Chemical Vapour Detection by Micro UAV,
RS(7), No. 12, 2015, pp. 15858.
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Liu, Y.[Yao], Zhang, W.J.[Wen-Juan], Zhang, B.[Bing],
Top-of-Atmosphere Image Simulation in the 4.3-mu-m Mid-infrared Absorption Bands,
GeoRS(54), No. 1, January 2016, pp. 452-456.
IEEE DOI 1601
atmospheric radiation BibRef

Benevides, P., Nico, G., Catalao, J., Miranda, P.M.A.,
Bridging InSAR and GPS Tomography: A New Differential Geometrical Constraint,
GeoRS(54), No. 2, February 2016, pp. 697-702.
IEEE DOI 1601
Atmospheric measurements BibRef

Benevides, P., Nico, G., Catalão, J., Miranda, P.M.A.,
Analysis of Galileo and GPS Integration for GNSS Tomography,
GeoRS(55), No. 4, April 2017, pp. 1936-1943.
IEEE DOI 1704
Global Positioning System BibRef

Berndt, E.B., Zavodsky, B.T., Folmer, M.J.,
Development and Application of Atmospheric Infrared Sounder Ozone Retrieval Products for Operational Meteorology,
GeoRS(54), No. 2, February 2016, pp. 958-967.
IEEE DOI 1601
Gases BibRef

Ma, P., Chen, L., Wang, Z., Zhao, S., Li, Q., Tao, M., Wang, Z.,
Ozone Profile Retrievals From the Cross-Track Infrared Sounder,
GeoRS(54), No. 7, July 2016, pp. 3985-3994.
IEEE DOI 1606
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Chen, B., Liu, Z.,
A Comprehensive Evaluation and Analysis of the Performance of Multiple Tropospheric Models in China Region,
GeoRS(54), No. 2, February 2016, pp. 663-678.
IEEE DOI 1601
Accuracy 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,
RS(8), No. 1, 2016, pp. 23.
DOI Link 1602
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Chen, W.[Wei], Tang, H.[Hongzhao], Zhao, H.[Haimeng], Yan, L.[Lei],
Analysis of Aerosol Properties in Beijing Based on Ground-Based Sun Photometer and Air Quality Monitoring Observations from 2005 to 2014,
RS(8), No. 2, 2016, pp. 110.
DOI Link 1603
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Ma, Y.[Yan], Li, Z.[Zhengqiang], Li, Z.[Zhaozhou], Xie, Y.S.[Yi-Song], Fu, Q.[Qiaoyan], Li, D.H.[Dong-Hui], Zhang, Y.[Ying], Xu, H.[Hua], Li, K.[Kaitao],
Validation of MODIS Aerosol Optical Depth Retrieval over Mountains in Central China Based on a Sun-Sky Radiometer Site of SONET,
RS(8), No. 2, 2016, pp. 111.
DOI Link 1603
BibRef

Nichol, J.E.[Janet E.], Bilal, M.[Muhammad],
Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia,
RS(8), No. 4, 2016, pp. 328.
DOI Link 1604
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,
RS(8), No. 4, 2016, pp. 300.
DOI Link 1604
BibRef

Hirsch, M.[Michael], Semeter, J.[Joshua], Zettergren, M.[Matthew], Dahlgren, H.[Hanna], Goenka, C.[Chhavi], Akbari, H.[Hassanali],
Reconstruction of Fine-Scale Auroral Dynamics,
GeoRS(54), No. 5, May 2016, pp. 2780-2791.
IEEE DOI 1604
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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
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Dupuy, E.[Eric], Morino, I.[Isamu], Deutscher, N.M.[Nicholas M.], Yoshida, Y.[Yukio], Uchino, O.[Osamu], Connor, B.J.[Brian J.], de Mazière, M.[Martine], Griffith, D.W.T.[David W. T.], Hase, F.[Frank], Heikkinen, P.[Pauli], Hillyard, P.W.[Patrick W.], Iraci, L.T.[Laura T.], Kawakami, S.[Shuji], Kivi, R.[Rigel], Matsunaga, T.[Tsuneo], Notholt, J.[Justus], Petri, C.[Christof], Podolske, J.R.[James R.], Pollard, D.F.[David F.], Rettinger, M.[Markus], Roehl, C.M.[Coleen M.], Sherlock, V.[Vanessa], Sussmann, R.[Ralf], Toon, G.C.[Geoffrey C.], Velazco, V.A.[Voltaire A.], Warneke, T.[Thorsten], Wennberg, P.O.[Paul O.], Wunch, D.[Debra], Yokota, T.[Tatsuya],
Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network,
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And: Correction: RS(8), No. 12, 2016, pp. 982.
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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], Zhang, Y.[Ying], Liu, Z.H.[Zhi-Hong], Chen, X.F.[Xing-Feng], Hou, W.[Weizhen], Li, K.[Kaitao], Li, D.H.[Dong-Hui], Xu, H.[Hua],
Retrieval of Aerosol Fine-Mode Fraction from Intensity and Polarization Measurements by PARASOL over East Asia,
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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,
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Chen, W.[Wei], Yan, L.[Lei], Ding, N.[Nan], Xie, M.D.[Meng-Die], Lu, M.[Ming], Zhang, F.[Fan], Duan, Y.X.[Yong-Xu], Zong, S.[Shuo],
Analysis of Aerosol Radiative Forcing over Beijing under Different Air Quality Conditions Using Ground-Based Sun-Photometers between 2013 and 2015,
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Weidmann, D.[Damien], Macleod, N.[Neil],
Detecting chemical threats at safe standoff distances,
SPIE(Newsroom), May 18, 2016
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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

Gao, L., Li, J., Chen, L., Zhang, L., Heidinger, A.K.,
Retrieval and Validation of Atmospheric Aerosol Optical Depth From AVHRR Over China,
GeoRS(54), No. 11, November 2016, pp. 6280-6291.
IEEE DOI 1610
Aerosols BibRef

Yeom, J.M.[Jong-Min], Hwang, J.[Jisoo], Jin, C.G., Lee, D.H., Han, K.S.,
Radiometric Characteristics of KOMPSAT-3 Multispectral Images Using the Spectra of Well-Known Surface Tarps,
GeoRS(54), No. 10, October 2016, pp. 5914-5924.
IEEE DOI 1610
aerosols BibRef

Yeom, J.M.[Jong-Min], Hwang, J.[Jisoo], Jung, J.H.[Jae-Heon], Lee, K.H.[Kwon-Ho], Lee, C.S.[Chang-Suk],
Initial Radiometric Characteristics of KOMPSAT-3A Multispectral Imagery Using the 6S Radiative Transfer Model, Well-Known Radiometric Tarps, and MFRSR Measurements,
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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.
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Wu, Y.R.[Ye-Rong], de Graaf, M.[Martin], Menenti, M.[Massimo],
The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data,
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Belle, J.H., Liu, Y.[Yang],
Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States,
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Qin, Z., Zou, X.,
Uncertainty in Fengyun-3C Microwave Humidity Sounder Measurements at 118 GHz With Respect to Simulations From GPS RO Data,
GeoRS(54), No. 12, December 2016, pp. 6907-6918.
IEEE DOI 1612
atmospheric techniques BibRef

Saeed, U., Rocadenbosch, F., Crewell, S.,
Adaptive Estimation of the Stable Boundary Layer Height Using Combined Lidar and Microwave Radiometer Observations,
GeoRS(54), No. 12, December 2016, pp. 6895-6906.
IEEE DOI 1612
aerosols BibRef

Venkata, S.L.[Srikanth L.], Reagan, J.A.[John A.],
Aerosol Retrievals from CALIPSO Lidar Ocean Surface Returns,
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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.
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Xia, X.L.[Xiao-Lin], Qi, Q.W.[Qing-Wen], Liang, H.[Hong], Zhang, A.[An], Jiang, L.[Lili], Ye, Y.J.[Yan-Jun], Liu, C.F.[Chan-Fang], Huang, Y.F.[Yuan-Feng],
Pattern of Spatial Distribution and Temporal Variation of Atmospheric Pollutants during 2013 in Shenzhen, China,
IJGI(6), No. 1, 2017, pp. xx-yy.
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Wilkes, T.C.[Thomas Charles], Pering, T.D.[Tom David], McGonigle, A.J.S.[Andrew John Samuel], Tamburello, G.[Giancarlo], Willmott, J.R.[Jon Raffe],
A Low-Cost Smartphone Sensor-Based UV Camera for Volcanic SO2 Emission Measurements,
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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,
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Yu, Z.C.[Zhi-Chen], Zhong, S.[Shaobo], Wang, C.[Chaolin], Yang, Y.S.[Yong-Sheng], Yao, G.[Guannan], Huang, Q.[Quanyi],
Mapping Comparison and Meteorological Correlation Analysis of the Air Quality Index in Mid-Eastern China,
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Châteauneuf, F.[François], Proulx, C.[Christian], Phong, L.N.[Linh Ngo], Lamontagne, F.[Frédéric], Wang, M.[Min], Fisette, B.[Bruno], Martin, L.[Louis],
Measuring ice clouds with an airborne far-IR radiometer,
SPIE(Newsroom), January 4, 2017
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A new aircraft-certified instrument is suitable for unattended operation on the Polar 6 aircraft, and will ultimately be redesigned as a future microsatellite payload. BibRef

Hong, H.[Hyunkee], Lee, H.[Hanlim], Kim, J.[Jhoon], Jeong, U.[Ukkyo], Ryu, J.[Jaeyong], Lee, D.S.[Dae Sung],
Investigation of Simultaneous Effects of Aerosol Properties and Aerosol Peak Height on the Air Mass Factors for Space-Borne NO2 Retrievals,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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Hong, H.[Hyunkee], Kim, J.[Jhoon], Jeong, U.[Ukkyo], Han, K.S.[Kyung-Soo], Lee, H.[Hanlim],
The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Yang, H.[Hang], Zhang, L.[Lifu], Ong, C.[Cindy], Rodger, A.[Andrew], Liu, J.[Jia], Sun, X.[Xuejian], Zhang, H.M.[Hong-Ming], Jian, X.[Xun], Tong, Q.X.[Qing-Xi],
Improved Aerosol Optical Thickness, Columnar Water Vapor, and Surface Reflectance Retrieval from Combined CASI and SASI Airborne Hyperspectral Sensors,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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She, L.[Lu], Mei, L.[Linlu], Xue, Y.[Yong], Che, Y.[Yahui], 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
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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
Spectral fingerprints of chemical compounds. BibRef

Go, S.[Sujung], Kim, M.[Mijin], Kim, J.[Jhoon], Park, S.S.[Sang Seo], Jeong, U.[Ukkyo], Choi, M.[Myungje],
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
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Wang, Y.[Yang], Chen, L.[Liangfu], Li, S.[Shenshen], Wang, X.[Xinhui], 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
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Strawbridge, K.B.[Kevin B.], Firanski, B.J.[Bernard J.], Travis, M.S.[Michael S.],
Autonomous ozone, aerosol, and water vapor profiling of the atmosphere,
SPIE(Newsroom), May 9, 2017
DOI Link 1705
The Autonomous Mobile Ozone Lidar Instrument for Tropospheric Experiments is used to obtain atmospheric profiles from near to the ground to altitudes of more than 10km. BibRef

Zhu, J.[Jun], Xia, X.G.[Xian-Gao], Wang, J.[Jun], Che, H.Z.[Hui-Zheng], Chen, H.B.[Hong-Bin], Zhang, J.[Jinqiang], Xu, X.G.[Xiao-Guang], Levy, R.C.[Robert C.], Oo, M.[Min], Holz, R.[Robert], Ayoub, M.[Mohammed],
Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
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Wang, Y.[Yi], Wang, J.[Jun], Levy, R.C.[Robert C.], Xu, X.G.[Xiao-Guang], Reid, J.S.[Jeffrey S.],
MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Chen, W.[Wei], Fan, A.[Aiping], Yan, L.[Lei],
Performance of MODIS C6 Aerosol Product during Frequent Haze-Fog Events: A Case Study of Beijing,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
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Dolgii, S.I.[Sergey I.], Nevzorov, A.A.[Alexey A.], Nevzorov, A.V.[Alexey V.], Romanovskii, O.A.[Oleg A.], Kharchenko, O.V.[Olga V.],
Intercomparison of Ozone Vertical Profile Measurements by Differential Absorption Lidar and IASI/MetOp Satellite in the Upper Troposphere-Lower Stratosphere,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
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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.
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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.[Zhongyi], Matsumura, S.[Shinji],
A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land,
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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.[Zhongyi], Matsumura, S.[Shinji],
A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data,
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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
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Kim, D.W.[Dae-Won], Lee, H.[Hanlim], Hong, H.[Hyunkee], Choi, W.[Wonei], Lee, Y.G.[Yun Gon], Park, J.[Junsung],
Estimation of Surface NO2 Volume Mixing Ratio in Four Metropolitan Cities in Korea Using Multiple Regression Models with OMI and AIRS Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Gu, J.B.[Jian-Bin], Chen, L.F.[Liang-Fu], Yu, C.[Chao], Li, S.S.[Shen-Shen], Tao, J.H.[Jin-Hua], Fan, M.[Meng], Xiong, X.Z.[Xiao-Zhen], Wang, Z.F.[Zi-Feng], Shang, H.Z.[Hua-Zhe], Su, L.[Lin],
Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Qin, K.[Kai], Rao, L.L.[Lan-Lan], Xu, J.[Jian], Bai, Y.[Yang], Zou, J.H.[Jia-Heng], Hao, N.[Nan], Li, S.S.[Shen-Shen], Yu, C.[Chao],
Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted Regression Model,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Osorio, M.[Matías], Casaballe, N.[Nicolás], Belsterli, G.[Gastón], Barreto, M.[Miguel], Gómez, Á.[Álvaro], Ferrari, J.A.[José A.], Frins, E.[Erna],
Plume Segmentation from UV Camera Images for SO2 Emission Rate Quantification on Cloud Days,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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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
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He, L.J.[Li-Jie], Wang, L.[Lunche], Lin, A.[Aiwen], Zhang, M.[Ming], Bilal, M.[Muhammad], Tao, M.H.[Ming-Hui],
Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001-2015,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Qin, W.[Wenmin], Wang, L.[Lunche], 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,
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DOI Link 1808
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He, L.J.[Li-Jie], Wang, L.[Lunche], Lin, A.[Aiwen], Zhang, M.[Ming], Bilal, M.[Muhammad], Wei, J.[Jing],
Performance of the NPP-VIIRS and aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Zhang, M.[Ming], Wang, L.[Lunche], Gong, W.[Wei], Ma, Y.Y.[Ying-Ying], Liu, B.[Boming],
Aerosol Optical Properties and Direct Radiative Effects over Central China,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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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
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Qu, Y.[Yawei], Han, Y.[Yong], Wu, Y.[Yonghua], Gao, P.[Peng], Wang, T.[Tijian],
Study of PBLH and Its Correlation with Particulate Matter from One-Year Observation over Nanjing, Southeast China,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Fusaro, L.[Lina], Marando, F.[Federica], Sebastiani, A.[Alessandro], Capotorti, G.[Giulia], Blasi, C.[Carlo], Copiz, R.[Riccardo], Congedo, L.[Luca], Munafò, M.[Michele], Ciancarella, L.[Luisella], Manes, F.[Fausto],
Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Misra, P.[Prakhar], Fujikawa, A.[Aya], Takeuchi, W.[Wataru],
Novel Decomposition Scheme for Characterizing Urban Air Quality with MODIS,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Si, Y.[Yidan], Li, S.[Shenshen], Chen, L.[Liangfu], Yu, C.[Chao], Zhu, W.[Wende],
Estimation of Satellite-Based SO42- and NH4+ Composition of Ambient Fine Particulate Matter over China Using Chemical Transport Model,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Pan, C., Weng, F., Beck, T., Flynn, L., Ding, S.,
Recent Improvements to Suomi NPP Ozone Mapper Profiler Suite Nadir Mapper Sensor Data Records,
GeoRS(55), No. 10, October 2017, pp. 5770-5776.
IEEE DOI 1710
albedo, atmospheric composition, atmospheric techniques, ozone, remote sensing, AD 2011 10 28, OMPS nadir mapper spectrometer, OMPS sensor data quality, Ozone Mapper Profiler Suite, BibRef

Ou, Y.[Yang], Zhao, W.H.[Wen-Hui], Wang, J.Q.[Jun-Qian], Zhao, W.[Wenji], Zhang, B.[Bo],
Characteristics of Aerosol Types in Beijing and the Associations with Air Pollution from 2004 to 2015,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Dieudonné, E.[Elsa], Chazette, P.[Patrick], Marnas, F.[Fabien], Totems, J.[Julien], Shang, X.X.[Xiao-Xia],
Raman Lidar Observations of Aerosol Optical Properties in 11 Cities from France to Siberia,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Shokr, M.[Mohammed], El-Tahan, M.[Muhammed], Ibrahim, A.[Alaa], Steiner, A.[Allison], Gad, N.[Nashaat],
Long-Term, High-Resolution Survey of Atmospheric Aerosols over Egypt with NASA's MODIS Data,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Kang, L.[Litai], Chen, S.[Siyu], Huang, J.P.[Jian-Ping], Zhao, S.[Shuman], Ma, X.J.[Xiao-Jun], Yuan, T.G.[Tian-Gang], Zhang, X.R.[Xiao-Rui], Xie, T.T.[Ting-Ting],
The Spatial and Temporal Distributions of Absorbing Aerosols over East Asia,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Yuchechen, A.[Adrián], Lakkis, S.G.[Susan Gabriela], Canziani, P.[Pablo],
Linear and Non-Linear Trends for Seasonal NO2 and SO2 Concentrations in the Southern Hemisphere (2004-2016),
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Shi, C.H.[Chun-Hua], Zhang, C.[Chenxin], Guo, D.[Dong],
Comparison of Electrochemical Concentration Cell Ozonesonde and Microwave Limb Sounder Satellite Remote Sensing Ozone Profiles for the Center of the South Asian High,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Reuter, M.[Maximilian], Buchwitz, M.[Michael], Schneising, O.[Oliver], Noël, S.[Stefan], Rozanov, V.[Vladimir], Bovensmann, H.[Heinrich], Burrows, J.P.[John P.],
A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering: Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef
And: A1, A2, A3, A4, A6, A7, Only:
A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering: Part 2: Application to XCO2 Retrievals from OCO-2,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Zhang, M.[Ming], Huang, B.[Bo], He, Q.Q.[Qing-Qing],
An Evaluation of Four MODIS Collection 6 Aerosol Products in a Humid Subtropical Region,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Stachlewska, I.S.[Iwona S.], Zawadzka, O.[Olga], Engelmann, R.[Ronny],
Effect of Heat Wave Conditions on Aerosol Optical Properties Derived from Satellite and Ground-Based Remote Sensing over Poland,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Javadnia, E.[Eslam], Abkar, A.A.[Ali Akbar], Schubert, P.[Per],
Estimation of High-Resolution Surface Shortwave Radiative Fluxes Using SARA AOD over the Southern Great Plains,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
AOD: Atmospheric aerosol optical depth, to estimate shortwave fadiative flux. SARA: Simplified Aerosol Retrieval Algorithm. BibRef

Nalli, N.R., Gambacorta, A., Liu, Q., Barnet, C.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., 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

Sun, Z., Davis, J., Gao, W.,
Estimating Error Covariance and Correlation Region in UV Irradiance Data Fusion by Combining TOMS-OMI and UVMRP Ground Observations,
GeoRS(56), No. 1, January 2018, pp. 355-370.
IEEE DOI 1801
Kalman filters, atmospheric composition, atmospheric optics, atmospheric radiation, ozone, radiative transfer, remote sensing, ultraviolet (UV) irradiance BibRef

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],
A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods,
IJGI(6), No. 12, 2017, pp. xx-yy.
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

Zhang, W.H.[Wen-Hao], Xu, H.[Hui], Zheng, F.J.[Feng-Jie],
Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Chazette, P.[Patrick], Totems, J.[Julien],
Mini N2-Raman Lidar Onboard Ultra-Light Aircraft for Aerosol Measurements: Demonstration and Extrapolation,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Rouquié, B.[Bastien], Hagolle, O.[Olivier], Bréon, F.M.[François-Marie], Boucher, O.[Olivier], Desjardins, C.[Camille], Rémy, S.[Samuel],
Using Copernicus Atmosphere Monitoring Service Products to Constrain the Aerosol Type in the Atmospheric Correction Processor MAJA,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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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,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Zhang, M.[Miao], Luo, G.[Geping], de Maeyer, P.[Philippe], Cai, P.[Peng], Kurban, A.[Alishir],
Improved Atmospheric Modelling of the Oasis-Desert System in Central Asia Using WRF with Actual Satellite Products,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Stachlewska, I.S.[Iwona S.], Samson, M.[Mateusz], Zawadzka, O.[Olga], Harenda, K.M.[Kamila M.], Janicka, L.[Lucja], Poczta, P.[Patryk], Szczepanik, D.[Dominika], Heese, B.[Birgit], Wang, D.X.[Dong-Xiang], Borek, K.[Karolina], Tetoni, E.[Eleni], Proestakis, E.[Emmanouil], Siomos, N.[Nikolaos], Nemuc, A.[Anca], Chojnicki, B.H.[Bogdan H.], Markowicz, K.M.[Krzysztof M.], Pietruczuk, A.[Aleksander], Szkop, A.[Artur], Althausen, D.[Dietrich], Stebel, K.[Kerstin], Schuettemeyer, D.[Dirk], Zehner, C.[Claus],
Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Bilal, M.[Muhammad], Qiu, Z.F.[Zhong-Feng], Campbell, J.R.[James R.], Spak, S.N.[Scott N.], Shen, X.J.[Xiao-Jing], Nazeer, M.[Majid],
A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product on a 3 km Spatial Grid,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Bilal, M.[Muhammad], Nazeer, M.[Majid], Qiu, Z.F.[Zhong-Feng], Ding, X.L.[Xiao-Li], Wei, J.[Jing],
Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Lu, X.[Xin], Mao, F.Y.[Fei-Yue], Pan, Z.[Zengxin], Gong, W.[Wei], Wang, W.[Wei], Tian, L.[Liqiao], Fang, S.[Shenghui],
Three-Dimensional Physical and Optical Characteristics of Aerosols over Central China from Long-Term CALIPSO and HYSPLIT Data,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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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,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Tian, X.[Xinpeng], Liu, S.[Sihai], Sun, L.[Lin], Liu, Q.A.[Qi-Ang],
Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

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],
Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

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

Liu, W., Cao, S., Jin, Z., Wang, Z., Chen, Y.,
A Novel Hydrocarbon Detection Approach via High-Resolution Frequency-Dependent AVO Inversion Based on Variational Mode Decomposition,
GeoRS(56), No. 4, April 2018, pp. 2007-2024.
IEEE DOI 1804
Bandwidth, Continuous wavelet transforms, Dispersion, Frequency estimation, Hydrocarbons, Signal resolution, variational mode decomposition (VMD) BibRef

Dai, G.Y.[Guang-Yao], Wu, S.[Songhua], Song, X.[Xiaoquan],
Depolarization Ratio Profiles Calibration and Observations of Aerosol and Cloud in the Tibetan Plateau Based on Polarization Raman Lidar,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Park, J.S.[Jun-Sung], Lee, H.[Hanlim], Kim, J.[Jhoon], Herman, J.[Jay], Kim, W.[Woogyung], Hong, H.[Hyunkee], Choi, W.[Wonei], Yang, J.[Jiwon], Kim, D.W.[Dae-Won],
Retrieval Accuracy of HCHO Vertical Column Density from Ground-Based Direct-Sun Measurement and First HCHO Column Measurement Using Pandora,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Shen, X.J.[Xiao-Jing], Bilal, M.[Muhammad], Qiu, Z.[Zhongfeng], Sun, D.[Deyong], Wang, S.[Shengqiang], Zhu, W.J.[Wei-Jun],
Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Zhang, C.[Chao], Yan, J.C.[Jun-Chi], Li, C.S.[Chang-Sheng], Wu, H.[Hao], Bie, R.F.[Rong-Fang],
End-to-end learning for image-based air quality level estimation,
MVA(29), No. 4, May 2018, pp. 601-615.
Springer DOI 1805
BibRef

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

Josset, D., Pelon, J., Pascal, N., Hu, Y., Hou, W.,
On the Use of CALIPSO Land Surface Returns to Retrieve Aerosol and Cloud Optical Depths,
GeoRS(56), No. 6, June 2018, pp. 3256-3264.
IEEE DOI 1806
Aerosols, Backscatter, Clouds, Land surface, Laser radar, MODIS, Sea surface, Aerosols, laser radar, radiometry, surface reflectance BibRef

Zhang, M.[Miao], Wang, L.[Lunche], Bilal, M.[Muhammad], Gong, W.[Wei], Zhang, Z.[Ziyue], Guo, G.[Guangmeng],
The Characteristics of the Aerosol Optical Depth within the Lowest Aerosol Layer over the Tibetan Plateau from 2007 to 2014,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Lim, H.[Hyunkwang], Choi, M.[Myungje], 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
BibRef

Yang, F.[Fukun], Wang, Y.[Yang], Tao, J.H.[Jin-Hua], Wang, Z.[Zifeng], Fan, M.[Meng], de Leeuw, G.[Gerrit], Chen, L.[Liangfu],
Preliminary Investigation of a New AHI Aerosol Optical Depth (AOD) Retrieval Algorithm and Evaluation with Multiple Source AOD Measurements in China,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Just, A.C.[Allan C.], De Carli, M.M.[Margherita M.], Shtein, A.[Alexandra], Dorman, M.[Michael], Lyapustin, A.[Alexei], Kloog, I.[Itai],
Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM2.5 in the Northeastern USA,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Zhang, C., Liu, C., Wang, Y., Si, F., Zhou, H., Zhao, M., Su, W., Zhang, W., Chan, K.L., Liu, X., Xie, P., Liu, J., Wagner, T.,
Preflight Evaluation of the Performance of the Chinese Environmental Trace Gas Monitoring Instrument (EMI) by Spectral Analyses of Nitrogen Dioxide,
GeoRS(56), No. 6, June 2018, pp. 3323-3332.
IEEE DOI 1806
Absorption, Atmospheric measurements, Calibration, Electromagnetic interference, Extraterrestrial measurements, trace gases BibRef

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,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
Evaluation of the environmental impact of gas plumes from stack emissions. BibRef

Hara, Y.[Yukari], Nishizawa, T.[Tomoaki], Sugimoto, N.[Nobuo], Osada, K.[Kazuo], Yumimoto, K.[Keiya], Uno, I.[Itsushi], Kudo, R.[Rei], Ishimoto, H.[Hiroshi],
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
BibRef

Djamai, N.[Najib], Fernandes, R.[Richard],
Comparison of SNAP-Derived Sentinel-2A L2A Product to ESA Product over Europe,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
Compare aerosol optical thickness (AOT), precipitable water vapour (WVP) and surface reflectance products. BibRef

Bhatia, N.[Nitin], Tolpekin, V.A.[Valentyn A.], Stein, A.[Alfred], Reusen, I.[Ils],
Estimation of AOD Under Uncertainty: An Approach for Hyperspectral Airborne Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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

Vadrevu, K.[Krishna], Lasko, K.[Kristofer],
Intercomparison of MODIS AQUA and VIIRS I-Band Fires and Emissions in an Agricultural Landscape: Implications for Air Pollution Research,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Qin, W.[Wenmin], Liu, Y.[Ying], Wang, L.[Lunche], Lin, A.[Aiwen], Xia, X.[Xiangao], Che, H.[Huizheng], Bilal, M.[Muhammad], Zhang, M.[Ming],
Characteristic and Driving Factors of Aerosol Optical Depth over Mainland China during 1980-2017,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Masieri, S., Palazzi, E., Ravegnani, F., Bortoli, D., Petritoli, A., Premuda, M., Kostadinov, I., Pisoni, E., Carnevale, C., Volta, M., Giovanelli, G.,
Vertical Distribution of Lower Tropospheric NO2 Derived From Diffuse Solar Radiation Measurements: A Geometrical Retrieval Approach,
GeoRS(52), No. 8, August 2014, pp. 4846-4857.
IEEE DOI 1403
Atmospheric measurements BibRef

Kim, H.C.[Hyun Cheol], Lee, S.M.[Sang-Mi], Chai, T.F.[Tian-Feng], Ngan, F.[Fong], Pan, L.[Li], Lee, P.[Pius],
A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Balzarolo, M.[Manuela], Peñuelas, J.[Josep], Filella, I.[Iolanda], Portillo-Estrada, M.[Miguel], Ceulemans, R.[Reinhart],
Assessing Ecosystem Isoprene Emissions by Hyperspectral Remote Sensing,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Franklin, M.[Meredith], Chau, K.[Khang], Kalashnikova, O.V.[Olga V.], Garay, M.J.[Michael J.], Enebish, T.[Temuulen], Sorek-Hamer, M.[Meytar],
Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Su, X.L.[Xiao-Li], Cao, J.[Junji], Li, Z.Q.[Zheng-Qiang], Li, K.T.[Kai-Tao], Xu, H.[Hua], Liu, S.X.[Sui-Xin], Fan, X.H.[Xue-Hua],
Multi-Year Analyses of Columnar Aerosol Optical and Microphysical Properties in Xi'an, a Megacity in Northwestern China,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Lee, H.[Huikyo], Garay, M.J.[Michael J.], Kalashnikova, O.V.[Olga V.], Yu, Y.[Yan], Gibson, P.B.[Peter B.],
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
BibRef

Shahzad, M.I.[Muhammad Imran], Nichol, J.E.[Janet Elizabeth], Campbell, J.R.[James R.], Wong, M.S.[Man Sing],
Assessment of MODIS, OMI, MISR and CALIOP Aerosol Products for Estimating Surface Visual Range: A Mathematical Model for Hong Kong,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

McPhetres, A.[Alyson], Aggarwal, S.[Srijan],
An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

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
BibRef

You, Y., Lu, C., Wang, W., Tang, C.,
Relative CNN-RNN: Learning Relative Atmospheric Visibility From Images,
IP(28), No. 1, January 2019, pp. 45-55.
IEEE DOI 1810
Atmospheric modeling, Atmospheric measurements, Estimation, Meteorology, Observatories, Support vector machines, large-scale image collection BibRef


Mechtley, B.[Brandon], Roberts, C.[Christopher], Stein, J.[Julian], Nandin, B.[Benjamin], Sha, X.W.[Xin Wei],
Enactive Steering of an Experiential Model of the Atmosphere,
VAMR18(I: 126-144).
Springer DOI 1807
BibRef

Yoshida, T., Wasenmüller, O., Stricker, D.,
Time-of-flight sensor depth enhancement for automotive exhaust gas,
ICIP17(1955-1959)
IEEE DOI 1803
Automotive engineering, Gaussian distribution, Gaussian mixture model, Mathematical model, Solids, Standards, image processing BibRef

Chakma, A.[Avijoy], Vizena, B.[Ben], Cao, T.T.[Ting-Ting], Lin, J.[Jerry], Zhang, J.[Jing],
Image-Based Air Quality Analysis Using Deep Convolutional Neural Network,
ICIP17(3949-3952)
IEEE DOI 1803
aerosols, air pollution, air quality, atmospheric techniques, diseases, geophysical image processing, neural nets, Particulate Matter 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,
MultiTemp17(1-6)
IEEE DOI 1712
BibRef
And: A4, A5, A1, A3, A2:
Joint Surface Reflectance and AeRosol properties retrieval in the PV-LAC framework, part II: Validation,
MultiTemp17(1-4)
IEEE DOI 1712
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],
A Simulation Study of Micro-Drone Chemical Plume Tracking Performance in Tree Farm Environments,
IVIC17(260-269).
Springer DOI 1711
BibRef

Presles, B., Debayle, J.,
A distance-based shape descriptor invariant to similitude and its application to shape classification,
ICPR16(2598-2603)
IEEE DOI 1705
Atmospheric measurements, Noise measurement, Particle measurements, Robustness, Sensitivity, Shape, Shape, measurement BibRef

Ghosh, R., Ghosh, D., Roy, S., Mukherjee, A.,
Exploring the self similar properties for monitoring of air quality information,
ICAPR15(1-6)
IEEE DOI 1511
air pollution control BibRef

Marais, W., Holz, R., Hu, Y.H., Willett, R.,
Atmospheric lidar imaging and poisson inverse problems,
ICIP16(983-987)
IEEE DOI 1610
Imaging BibRef

Li, Y.[Yan], Liu, Y.[Yuanliang], Wu, J.[Jianliang],
High Resolution Aerosol Optical Depth Mapping Of Beijing Using Lansat8 Imagery,
ISPRS16(B8: 1309-1312).
DOI Link 1610
BibRef

Lin, T.H.[Tang-Huang], Liu, G.R.[Gin-Rong], Liu, C.Y.[Chian-Yi],
A Novel Index For Atmospheric Aerosol Types Categorization With Spectral Optical Depths From Satellite Retrieval,
ISPRS16(B8: 277-279).
DOI Link 1610
BibRef

Acosta Porras, E.A., Kishi, R.T., Fuchs, S., Hilgert, S.,
Estimation Of Phosphorus Emissions In The Upper Iguazu Basin (brazil) Using Gis And The More Model,
ISPRS16(B8: 299-304).
DOI Link 1610
BibRef

Marek, L., Campbell, M., Epton, M., Storer, M., Kingham, S.,
Real-time Environmental Sensors To Improve Health In The Sensing City,
ISPRS16(B2: 729-733).
DOI Link 1610
BibRef

Levis, A.[Aviad], Schechner, Y.Y.[Yoav Y.], Davis, A.B.,
Multiple-Scattering Microphysics Tomography,
CVPR17(5797-5806)
IEEE DOI 1711
Atmospheric modeling, Clouds, Computational modeling, Mathematical model, Scattering, Tomography BibRef

Levis, A.[Aviad], Schechner, Y.Y.[Yoav Y.], Aides, A.[Amit], Davis, A.B.,
Airborne Three-Dimensional Cloud Tomography,
ICCV15(3379-3387)
IEEE DOI 1602
Atmospheric modeling BibRef

Veikherman, D.[Dmitry], Aides, A.[Amit], Schechner, Y.Y.[Yoav Y.], Levis, A.[Aviad],
Clouds in the Cloud,
ACCV14(IV: 659-674).
Springer DOI 1504
Light-field imaging for spaceborne instruments. Monitor the atmosphere. BibRef

Saulquin, B.[Bertrand], Fablet, R.[Ronan], Bourg, L.[Ludovic], Mercier, G.[Gregoire], d'Andon, O.F.[Odile Fanton],
Non-homogeneous priors in a Bayesian latent class model for ocean color inversion,
ICIP15(3680-3684)
IEEE DOI 1512
remote sensing. To separate water contribution from the atmospheric contribution. BibRef

Rajitha, K., Mohan, M.M.P.[M.M. Prakash], Varma, M.R.R.,
Effect of cirrus cloud on normalized difference Vegetation Index (NDVI) and Aerosol Free Vegetation Index (AFRI): A study based on LANDSAT 8 images,
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,
MultiTemp15(1-4)
IEEE DOI 1511
clouds BibRef

Liu, G.L.[Gui-Liang],
Seemingly unrelated regression modeling of urban air quality by direct Monte Carlo algorithm,
ICWAPR15(171-174)
IEEE DOI 1511
Bayes methods BibRef

Bhattacharjee, S., Ghosh, S.K.,
Exploring spatial dependency of meteorological attributes for multivariate analysis: A granger causality test approach,
ICAPR15(1-6)
IEEE DOI 1511
atmospheric humidity BibRef

Nguyen, T.N.T.[Thi Nhat Thanh], Mantovani, S.[Simone], Campalani, P.[Piero], Cavicchi, M.[Mario], Bottoni, M.[Maurizio],
Aerosol Optical Thickness Retrieval from Satellite Observation Using Support Vector Regression,
CIARP10(492-499).
Springer DOI 1011
MODIS data BibRef

Wijeratne, I.K., Bijker, W.,
Mapping Dispersion of Urban Air Pollution with Remote Sensing,
IfromI06(xx-yy).
PDF File. 0607
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Pollution, Methane Measurements .


Last update:Oct 15, 2018 at 09:19:25