Atmospheric, Aerosols Measurements with MODIS

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Aerosols. MODIS.
See also Sulfur Di-Oxide, Sulphur, SO2.

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

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

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

Ma, Y.[Yan], Li, Z.Q.[Zheng-Qiang], Li, Z.Z.[Zhao-Zhou], Xie, Y.S.[Yi-Song], Fu, Q.Y.[Qiao-Yan], 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

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

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,
RS(8), No. 9, 2016, pp. 765.
DOI Link 1610
Aerosol Optical Depth. BibRef

Belle, J.H., Liu, Y.[Yang],
Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States,
RS(8), No. 10, 2016, pp. 815.
DOI Link 1609

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

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

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

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

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

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

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

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

Shen, X.J.[Xiao-Jing], Bilal, M.[Muhammad], Qiu, Z.F.[Zhong-Feng], Sun, D.Y.[De-Yong], Wang, S.Q.[Sheng-Qiang], 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

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.
Aerosols, Backscatter, Clouds, Land surface, Laser radar, MODIS, Sea surface, Aerosols, laser radar, radiometry, surface reflectance 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

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

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

Ceca, L.S.D.[Lara Sofía Della], Ferreyra, M.F.G.[María Fernanda García], Lyapustin, A.[Alexei], Chudnovsky, A.[Alexandra], Otero, L.[Lidia], Carreras, H.[Hebe], Barnaba, F.[Francesca],
Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data,
PandRS(145), 2018, pp. 250-267.
Elsevier DOI 1811
Air pollution, Aerosol, Particulate matter, MODIS, MAIAC, South America, Argentina, Córdoba BibRef

Shi, S., Cheng, T., Gu, X., Guo, H., Chen, H., Wang, Y., Wu, Y.,
Multisensor Data Synergy of Terra-MODIS, Aqua-MODIS, and Suomi NPP-VIIRS for the Retrieval of Aerosol Optical Depth and Land Surface Reflectance Properties,
GeoRS(56), No. 11, November 2018, pp. 6306-6323.
Land surface, Optical surface waves, Aerosols, MODIS, Atmosphere, Shape, Surface waves, Aerosol optical depth (AOD), Visible Infrared Imaging Radiometer Suite (VIIRS) BibRef

Tian, X.P.[Xin-Peng], Liu, Q.A.[Qi-Ang], Li, X.H.[Xiu-Hong], Wei, J.[Jing],
Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Ge, B., Li, Z., Liu, L., Yang, L., Chen, X., Hou, W., Zhang, Y., Li, D., Li, L., Qie, L.,
A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation,
GeoRS(57), No. 1, January 2019, pp. 381-394.
Aerosols, MODIS, Satellite broadcasting, Sea surface, Land surface, Clouds, Advanced Himawari imager (AHI), normalized difference vegetation index (NDVI) BibRef

Zhang, L.[Lei], Zhang, M.[Ming], Yao, Y.[Yibin],
Multi-Time Scale Analysis of Regional Aerosol Optical Depth Changes in National-Level Urban Agglomerations in China Using Modis Collection 6.1 Datasets from 2001 to 2017,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902

Bilal, M.[Muhammad], Nazeer, M.[Majid], Nichol, J.[Janet], Qiu, Z.F.[Zhong-Feng], Wang, L.C.[Lun-Che], Bleiweiss, M.P.[Max P.], Shen, X.J.[Xiao-Jing], Campbell, J.R.[James R.], Lolli, S.[Simone],
Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903

Wang, Z., Ma, P., Chen, H., Zhang, Y., Zhang, L., Li, S., Li, Q., Chen, L.,
Aerosol Retrieval in the Autumn and Winter From the Red and 2.12~mum Bands of MODIS,
GeoRS(57), No. 4, April 2019, pp. 2372-2380.
aerosols, air pollution, atmospheric optics, environmental monitoring (geophysics), remote sensing BibRef

Jiang, T.T.[Ting-Ting], Chen, B.[Bin], Chan, K.K.Y.[Karen Kie Yan], Xu, B.[Bing],
Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Wei, J., Li, Z., Peng, Y., Sun, L., Yan, X.,
A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China,
GeoRS(57), No. 7, July 2019, pp. 4748-4757.
Aerosols, MODIS, Atmospheric modeling, Atmospheric measurements, Optical surface waves, Adaptive optics, Sea surface, multiangle implementation of the atmospheric correction (MAIAC) BibRef

Jin, S.K.[Shi-Kuan], Ma, Y.Y.[Ying-Ying], Zhang, M.[Ming], Gong, W.[Wei], Dubovik, O.[Oleg], Liu, B.M.[Bo-Ming], Shi, Y.F.[Yi-Fan], Yang, C.L.[Chang-Lan],
Retrieval of 500 m Aerosol Optical Depths from MODIS Measurements over Urban Surfaces under Heavy Aerosol Loading Conditions in Winter,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910

Wang, Y.[Yuan], Yuan, Q.Q.A.[Qiang-Qi-Ang], Li, T.W.[Tong-Wen], Shen, H.F.[Huan-Feng], Zheng, L.[Li], Zhang, L.P.[Liang-Pei],
Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation,
PandRS(157), 2019, pp. 1-12.
Elsevier DOI 1911
Aerosol Optical Depth. Large scale, MODIS, AOD recovery, Spatial-temporal hybrid fusion, Aerosol variation mitigation BibRef

Wei, J., Li, Z., Sun, L., Yang, Y., Zhao, C., Cai, Z.,
Enhanced Aerosol Estimations From Suomi-NPP VIIRS Images Over Heterogeneous Surfaces,
GeoRS(57), No. 12, December 2019, pp. 9534-9543.
Aerosols, Clouds, Optical surface waves, Atmospheric measurements, Estimation, MODIS, Optical imaging, Aerosol optical depth (AOD), Visible Infrared Imaging Radiometer Suite (VIIRS) BibRef

Sawyer, V.[Virginia], Levy, R.C.[Robert C.], Mattoo, S.[Shana], Cureton, G.[Geoff], Shi, Y.X.[Ying-Xi], Remer, L.A.[Lorraine A.],
Continuing the MODIS Dark Target Aerosol Time Series with VIIRS,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Tong, Y.[Yan], Feng, L.[Lian], Sun, K.[Kun], Tang, J.[Jing],
Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007

Gupta, P.[Pawan], Remer, L.A.[Lorraine A.], Patadia, F.[Falguni], Levy, R.C.[Robert C.], Christopher, S.A.[Sundar A.],
High-Resolution Gridded Level 3 Aerosol Optical Depth Data from MODIS,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009

Eibedingil, I.G.[Iyasu G.], Gill, T.E.[Thomas E.], van Pelt, R.S.[R. Scott], Tong, D.Q.[Daniel Q.],
Comparison of Aerosol Optical Depth from MODIS Product Collection 6.1 and AERONET in the Western United States,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106

Carmona, J.M.[Johana M.], Gupta, P.[Pawan], Lozano-García, D.F.[Diego F.], Vanoye, A.Y.[Ana Y.], Hernández-Paniagua, I.Y.[Iván Y.], Mendoza, A.[Alberto],
Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Zheng, J.Y.[Jian-Yu], Huang, X.[Xin], Sangondimath, S.[Supriya], Wang, J.[Jianwu], Zhang, Z.B.[Zhi-Bo],
Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109

Tian, X.P.[Xin-Peng], Liu, Q.[Qiang], Gao, Z.Q.[Zhi-Qiang], Wang, Y.[Yueqi], Li, X.H.[Xiu-Hong], Wei, J.[Jing],
Improving MODIS Aerosol Estimates Over Land With the Surface BRDF Reflectances Using the 3-D Discrete Cosine Transform and RossThick-LiSparse Models,
GeoRS(59), No. 12, December 2021, pp. 9851-9860.
Aerosols, Atmospheric modeling, Land surface, MODIS, Satellites, Atmospheric measurements, Sea surface, surface anisotropy BibRef

Sun, K.[Kun], Gao, Y.[Yang], Qi, B.[Bing], Yu, Z.F.[Zhi-Feng],
The Influence of Underlying Land Cover on the Accuracy of MODIS C6.1 Aerosol Products: A Case Study over the Yangtze River Delta Region of China,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202

El Amraoui, L.[Laaziz], Plu, M.[Matthieu], Guidard, V.[Vincent], Cornut, F.[Flavien], Bacles, M.[Mickaël],
A Pre-Operational System Based on the Assimilation of MODIS Aerosol Optical Depth in the MOCAGE Chemical Transport Model,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Yang, L.[Leiku], Tian, X.Y.[Xin-Yao], Liu, C.[Chao], Ji, W.Q.[Wei-Qian], Zheng, Y.[Yu], Liu, H.[Huan], Lu, X.F.[Xiao-Feng], Che, H.Z.[Hui-Zheng],
Evaluation and Comparison of MODIS C6 and C6.1 Deep Blue Aerosol Products in Arid and Semi-Arid Areas of Northwestern China,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Reid, J.S.[Jeffrey S.], Gumber, A.[Amanda], Zhang, J.L.[Jiang-Long], Holz, R.E.[Robert E.], Rubin, J.I.[Juli I.], Xian, P.[Peng], Smirnov, A.[Alexander], Eck, T.F.[Thomas F.], O'Neill, N.T.[Norman T.], Levy, R.C.[Robert C.], Reid, E.A.[Elizabeth A.], Colarco, P.R.[Peter R.], Benedetti, A.[Angela], Tanaka, T.[Taichu],
A Coupled Evaluation of Operational MODIS and Model Aerosol Products for Maritime Environments Using Sun Photometry: Evaluation of the Fine and Coarse Mode,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208

Qi, L.[Lin], Liu, R.G.[Rong-Gao], Liu, Y.[Yang],
Retrieval of Aerosol Single-Scattering Albedo from MODIS Data Using an Artificial Neural Network,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212

Jiang, J.[Jie], Liu, J.X.[Jia-Xin], Jiao, D.L.[Dong-Lai], Zha, Y.[Yong], Cao, S.[Shusheng],
Evaluation of MODIS DT, DB, and MAIAC Aerosol Products over Different Land Cover Types in the Yangtze River Delta of China,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301

Huang, F.F.[Fang-Fang], Ma, W.Q.[Wei-Qiang], Wang, S.[Suichan], Feng, C.[Chao], Kong, X.Y.[Xiao-Yi], Liu, H.[Hao],
Analysis and Validation of the Aerosol Optical Depth of MODIS Products in Gansu Province, Northwest China,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307

?tefanie, H.I.[Hora?iu Ioan], Radovici, A.[Andrei], Mereu?a, A.[Alexandru], Arghiu?, V.[Viorel], Camara?an, H.[Horia], Costin, D.[Dan], Botezan, C.[Camelia], Gînsca, C.[Camelia], Ajtai, N.[Nicolae],
Variation of Aerosol Optical Properties over Cluj-Napoca, Romania, Based on 10 Years of AERONET Data and MODIS MAIAC AOD Product,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307

Deaconu, L.T.[Lucia-Timea], Mereuta, A.[Alexandru], Radovici, A.[Andrei], Stefanie, H.I.[Horatiu Ioan], Botezan, C.[Camelia], Ajtai, N.[Nicolae],
Consistency of Aerosol Optical Properties between MODIS Satellite Retrievals and AERONET over a 14-Year Period in Central-East Europe,
RS(16), No. 10, 2024, pp. 1677.
DOI Link 2405

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,
Springer DOI 1011
MODIS data BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Pollution, Ozone Measurements, O3 .

Last update:May 29, 2024 at 17:34:46