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2025
Khodayar, F., Ansari, M., Hojati, S., & Khodayar, E.
Comparing machine learning algorithms for estimating PM10 particle concentration using AOD and selected meteorological parameters

Iranian Journal of Soil and Water Research, 56(1), 127-150

Wang, Q., Wang, B., Kong, W., Wu, J., Yu, Z., Wu, X., & Yuan, X.
Spatiotemporal Evolution and Influencing Factors of Aerosol Optical Depth in Zhejiang Province: Insights from Land Use Dynamics and Transportation Networks Based on Remote Sensing

Sustainability, 17(13), 6126.

Cămărășan, H. A. et al.
Characterization of Historical Aerosol Optical Depth Dynamics Using LSTM and Peak Enhancement Techniques

Atmosphere, 16(6), 743.

Pearson, K. et al.
Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022

Scientific Data, 12(1), 410.

Zhu, J., Qiao, C., & Duan, M.
Retrieving Aerosol Optical Depth over Land from Landsat-8 Satellite Images with the Aid of Cloud Shadows

Remote Sensing, 17(2), 176.

Guebsi, R., and Chokmani, K.
Effects of Large-and Meso-Scale Circulation on Uprising Dust over Bodélé in June 2006 and June 2011

Remote Sensing, 17(15), 2674.

Hodnebrog, Ø. et al.
Strong reduction in near-surface turbulence due to aerosols in South and East Asia

npj Clean Air 1, (1), 9

Liu, H., Shu, L., Liu, X., Cheng, P., Wang, M., & Huang, Y.
Advancements in Artificial Intelligence Applications for Forest Fire Prediction

Forests 2025, 16(4), 704

Yang, X., Zhang, M., Wang, L., and Qin, W.
Influence of Temporal Representativeness of Satellite Aerosol Products on Direct Aerosol Radiative Effects

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-15, Art no. 4106215

Di Girolamo, L., Zhao, G., Zhang, G. et al.
Decadal changes in atmospheric circulation detected in cloud motion vectors

Nature 643, 983–987

Chen, J., Chen, H.W., Li, Z.Q, Wang, Q., Wang, G.Q., Jia, K., Yan, X.
Divergent radiative forcing of fine-mode aerosols across tree genera during wildfires in North America and Europe

Journal of Hazardous Materials, Volume 495, 138881

Junghenn Noyes, K. T. and Kahn, R. A.
Siberian wildfire smoke observations from space-based multi-angle imaging: A multi-year regional analysis of smoke particle properties, their evolution, and comparisons with North American boreal fire plumes

EGUsphere

Pan, X., Chin, M., Kahn, R. A., Matsui, H., Takemura, T., Lin, M., Xie, Y., Kim, D., and Val Martin, M.
The Sensitivity of Smoke Aerosol Dispersion to Smoke Injection Height and Source-Strength in Multiple AeroCom Models

EGUsphere

Zhu, Q. Z., Liu, Y., and Xiao, N.
The Frequency and Intensity of Extreme Dust Events and Related Driving Factors in Major Dust Sources Based on MERRA-2 Aerosol Reanalysis

Journal of Climate, Page(s): 4491–4504

Tariq, S., Zeydan, Ö., Shahzad, H. et al.
Spatial, Trend, and Wavelet Analysis of AOD Over Bangladesh

Water Air Soil Pollut 236, 384

Ramachandran, S., Ansari, K. & Cherian, R.
Air Pollution to Atmospheric Warming: Effects of Increasing Anthropogenic Aerosols on South Asia’s Climate

Earth Syst Environ

Sawyer V, Levy RC, Mattoo S, Shi YR, Kim M, Remer LA and Cureton G
An updated VIIRS dark target aerosol product for continuity with MODIS: assessing regional aerosol trends

Front. Environ. Sci., Sec. Environmental Informatics and Remote Sensing, 13:1602145

Algodon, M.R., Takahashi, Y., Kubota, H. et al.
3D reconstruction of typhoon Trami 2018 eye and eyewall clouds from airborne imaging

Sci Rep 15, 23721

Xie, D. et al.
Polarization Calibration Verification of the Directional Polarimetric Camera on the Terrestrial Ecosystem Carbon Inventory Satellite

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-12, Art no. 1001212

Nakata M, and Mukai S.
Aerosol Distribution Due to Wildfire in Sumatra, Indonesia Considered from Model Simulation

Remote Sensing. 17(10):1657.

Xi, X., Wang, J., Lu, Z., Sayer, A. M., Lee, J., Levy, R. C., Wang, Y., Lyapustin, A., Liu, H., Laszlo, I., Ahn, C., Torres, O., Abdullaev, S., Limbacher, J., and Kahn, R. A.
Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products

Atmos. Chem. Phys., 25, 7403–7429

Zhang, B.C., et al.
Evaluation of Himawari-8/AHI land surface reflectance at mid-latitudes using LEO sensors with off-nadir observation

Remote Sensing of Environment, Volume 316, 114491

Harshbardhan, K. and Shani, T.
Multi-sensor analysis of low-level cloudiness and its controlling factors over the Indian Ocean, Advances in Space Research

Advances in Space Research, Volume 76, Issue 5, Pages 2608-2625

Aerenson, T., and Marchand, R.
How Do Differences in the Simulation of Present‐Day Clouds Affect Cloud Feedbacks?

Journal of Geophysical Research: Atmospheres, 130(12), e2025JD044020.

Yang, H. et al.
Application of multi-angle spaceborne observations in characterizing the long-term particulate organic carbon pollution in China

Science of The Total Environment, 958, 177883.

Feng, J., Zhao, C., Gu, J., Li, G., Xu, M., Lin, S., & Feng, J.
Aerosol impacts on regional climate: chaotic or physical effect?

EGUsphere, 1-27

Li, Z., et al.
Focus on atmospheric remote sensing and environmental change

Environ. Res. Lett. 20 030202

Spurr, R. J. D. et al.
Solar Backscatter Ultraviolet (BUV) Retrievals of Mid-Stratospheric Aerosols from the 2022 Hunga Eruption

EGUsphere

Holloway, T., Bratburd, J. R., Fiore, A. M., Kerr, G. H., & Mao, J.
Satellite data to support air quality assessment and management

Journal of the Air & Waste Management Association, 75(6), 429-463.

Carr, J. L., Wilson, C. M., Wilson, D. T., Wu, D. L., & Madani, H.
StereoBit: Onboard Science Data Processing for Stereo Winds

Journal of Aerospace Information Systems, 22(5), 325-335.

Ngcoliso, N., Shikwambana, L., Mbulawa, Z., Molefe, M., & Kganyago, M.
Evaluating air pollution in South African priority areas: A qualitative comparison of satellite and in-situ data

Atmosphere, 16(7), 871.

Smith, S., Wu, Y., Levy, R., & Ting, M
The Solar Zenith Angle Impacts MODIS versus CALIPSO AOD Retrieval Biases, with Implications for Arctic Aerosol Seasonality

EGUsphere, 2025, 1-29.

Bendib, A.
Effect of the Great Sebkha of Oran (Western Algeria) on spatiotemporal variations in PM2. 5 surface concentrations: B. Abdelhalim

Theoretical and Applied Climatology, 156(7), 365.

Digby, R. A., von Salzen, K., Monahan, A. H., Gillett, N. P., & Li, J.
The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing

Atmospheric Chemistry and Physics, 25(5), 3109-3130.

Kuttippurath, J., and Patel, V. K
Advances in Earth Observation Satellites for global air quality monitoring

Sustainable Development Perspectives in Earth Observation (pp. 361-381). Elsevier

Lima, C. B., Prijith, S. S., and Suresh Babu, S.
Characterisation of dust aerosols and their absorbing efficiency over South Asia using infrared observations from INSAT-3D Imager

International Journal of Remote Sensing, 46(4), 1467-1490.

Mayol-Bracero, O. L., Prospero, J. M., Sarangi, B., Andrews, E., Colarco, P. R., Cuevas, E., ... & Zuidema, P.
“Godzilla”, the extreme African dust event of June 2020: Origins, Transport, and Impact on Air Quality in the Greater Caribbean Basin

Bulletin of the American Meteorological Society, BAMS-D.

Guo, H. et al.
Assessing clouds in GFDL's AM4. 0 with different microphysical parameterizations using the satellite simulator package COSP

Earth and Space Science, 12(6), e2024EA004053

Pouyaei, A., Ginoux, P., Ward, D. S., Yu, Y., & Horowitz, L. W.
Implementation of dynamic fire injection height in GFDL's Atmospheric Model (AM4. 0): Impacts on aerosol profiles and radiation

Journal of Advances in Modeling Earth Systems, 17(4), e2024MS004407.

Masroor, A., Yongjing, M., Lingbin, K., Tan, Y., and Jinyuan, X.
The Difference in MODIS Aerosol Retrieval Accuracy over Chinese Forested Regions

Remote Sensing, 17(14), 2401

Sprigg, W. A.
An Environmental Health Early Warning System: When Resilient Climates and Windblown Dusts Risk Public Health

Book chapter, Published by Springer Nature, p. 195-225

Saleem F.
Assessing the effects of climate change on the runoff of glaciers and snowmelt in a mountainous region using remote sensing and snow runoff modeling: a case study of Gilgit Baltistan

Trends in Animal and Plant Sciences, 5: 29-45

Li, W. et al.
Estimation and evaluation of land surface reflectance from a next-generation geostationary meteorological satellite, Himawari-8/9 AHI

Journal of the Meteorological Society of Japan. Ser. II, 103(1), 87-109

Viggiano, M. et al.
Combining Passive Infrared and Microwave Satellite Observations to Investigate Cloud Microphysical Properties: A Review

Remote Sensing, 17(2), 337.

Zhu, Hao. et al.
Improving XCO2 retrieval under high aerosol loads with fused satellite aerosol Data: Advancing understanding of anthropogenic emissions

ISPRS Journal of Photogrammetry and Remote Sensing,

Volume 223, Pages 146-158

Zhang, X. et al.
Dust weather in Tarim Basin derived from a dust event on April 18-21, 2023

Atmospheric Pollution Research, 102605.

Günaydın, E. et al.
Long-term aerosol optical depth analysis and prediction over the Antarctic Peninsula

Polar Science, 101212.

LaHaye, N. et al.
Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the Fire Influence on Regional to Global Environments and Air Quality Datasets

Remote Sensing, 17(7), 1267

Liu, H. et al.
Tropospheric aerosols over the western North Atlantic Ocean during the winter and summer deployments of ACTIVATE 2020: life cycle, transport, and distribution

Atmos. Chem. Phys., 25, 2087–2121

Terenzi, V. et al.
Comprehensive Validation of MODIS-MAIAC Aerosol Products and Long-Term Aerosol Detection over an Urban–Rural Area Around Rome in Central Italy

Remote Sensing, 17(12), 2051.

Kar, D. K., and Mahida, C
Atmospheric Changes During Natural Disaster: Case Study of a Dust Storm and a Volcanic Eruption Using Space and Ground Based Instruments

arXiv:2505.02730.

Xia, L. et al.
A comprehensive evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products of MODIS, GLASS, and GEO over China

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Chen, L., Liu, C., Wang, J., Chen, G., Zhao, Y., Jin, Y., & Jin, H
How is the spatiotemporal representativeness of ground- and satellite-based aerosol optical depth (AOD) measurements over Asia?

Atmospheric Research, 315, 107857.

Luo, N et al.
Distinct Spatiotemporal Patterns and Meteorological Impacts of Gobi Desert and Taklimakan Desert Dust Storms over China

Environmental Technology & Innovation, 104393

Gao, J., Huang, Y., Wright, J. S., Li, K., Geng, T., & Yu, Q.
Estimation of aerosol and cloud radiative heating rate in the tropical stratosphere using a radiative kernel method

Geosci. Model Dev., 18, 2569–2586

Petrenko, M. et al.
Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories

Atmospheric Chemistry and Physics, 25(3), 1545-1567.

Loveridge, J., and Di Girolamo, L.
Errors in stereoscopic retrievals of cloud top height for single-layer clouds

Atmospheric Measurement Techniques, 18(13), 3009-3033

Lee, S., Choi, Y., Choi, B., Seo, J., Song, M., Sohn, E., & Ahn, S.
Guided Super Resolution of Land Surface Temperature Using Multisatellite Imageries

IEEE Transactions on Geoscience and Remote Sensing. Vol 63

Xu, R., Yu, Y., Meng, X., Xue, H., Zhao, C., & Lin, J
Atmospheric Convection and Aerosol Absorption Boost Wildfire Smoke Injection

Geophysical Research Letters, 52(14), e2025GL115989.

Kishcha P, Gertman I, and Starobinets B
Surface and Subsurface Heatwaves in the Hypersaline Dead Sea Caused by Severe Dust Intrusion

Hydrology. 2025; 12(5):114.

Saif, H., Saeed, T., Hussain, M., Ullah, A., & Khokhar, M. F
Identification of the blue-sky conditions in Punjab, Pakistan by exploiting satellite and ground-based observations, and policy implications

International Journal of Remote Sensing, 1–21.

Wen, Y.
A new vegetation structural scattering index (VSSI) using a kernel-driven BRDF model based on Fengyun-4A/ARGI data

Remote Sensing Applications: Society and Environment, 37, 101501.

Abdulrahman, K
Air quality assessment by daily estimation of ground-level PM2.5 concentrations over Baghdad City using MODIS AOD data

Air Quality, Atmosphere & Health, 1-13.

Ham, S. et al.
Zonal Cloud Trends Observed by Passive MODIS and Active CALIOP and CPR Sensors

Journal of Climate, 38(11), 2605-2622.

Ahmed, M. F., Rana, B., Halder, B., Pramanik, M., Shakir, H. S., & Yaseen, Z. M.
Assessing atmospheric pollution in Asian major cities through sentinel-5p and google earth engine: a remote sensing approach

Theoretical and Applied Climatology, 156(9), 458

Kahina, S., Mourad, L., and Soltane, A
Temporal and Spatial Assessment of Aerosol Optical Depths in Tizi-Ouzou, Algeria, Using Aqua-MODIS Product

Izv. Atmos. Ocean. Phys. 61, 254–266

Zhao, R., Feng, X., Zhou, C., Zhang, Y., Leng, X., & Fu, B.
El Niño Southern oscillation events contribute significantly to the interannual variations of dust activity over East Asia

Atmospheric Research, 315, 107846.

Ahmed, A., Tikuye, B. G., Manjunatha, B. R., Jose, J., Ramaraju, H. K., & Venkatesha, G.
Spatio-temporal Variations and Forecast of PM2.5 concentration around selected Satellite Cities of Delhi, India using ARIMA model

Physics and Chemistry of the Earth, Parts A/B/C, 138, 103849

Ibe, O. C., Nwofor, O. K., & Okoro, U. K.
Evaluation of aerosol loading and its relationship with geopotential height in Nigeria’s Guinea Coast

Bulletin of the National Research Centre, 49(1), 11.

Piromthong, P., and Satirapod, C.
Assessment of Aerosol Optical Depth Measurements from MODIS and AERONET in Thailand, from 2004 to 2023

International Journal of Geoinformatics, 21(3), 115-138.

Booloorani, D. et al.
Global map of characterized dust sources using multisource remote sensing data

Sci Rep 15, 29805

Chutia, L. et al.
Correlated Modes of Spatiotemporal Variations between Light-Absorbing Aerosols and Tropospheric Temperature over the Indian Region

Nat Hazards 121, 12531–12549

Ji, Z., Li, Z., Zhang, Z., De Leeuw, G., Ma, Y., & Shi, Z.
An Aerosol Retrieval Algorithm Over Land From Multispectral Single-Viewing Measurements of Intensity and Polarization

IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-14, 2025, Art no. 4104814

Huang, J., and Yang, X.
Evaluation and improvement of the vertical accuracy of the global open DEM under forest environment

Geocarto International, 40(1).

Cavaliere, A et al.
Surface Broadband Radiation Data from a Bipolar Perspective: Assessing Climate Change Through Machine Learning

Climate, 13(7), 147.

Peng, W., Weng, F., & Ye, C
The Impact of MERRA-2 and CAMS Aerosol Reanalysis Data on FengYun-4B Geostationary Interferometric Infrared Sounder Simulations

Remote Sensing, 17(5), 761

Ge, B. et al.
A Novel Aerosol Retrieval Method Based on Joint Polarization and Intensity Data of Synchronization Monitoring Atmospheric Corrector (SMAC) onboard High Spatial-resolution GFDM satellite

IEEE Transactions on Geoscience and Remote Sensing

Hosseini, M., & Bagheri, H.
Improving the resolution of solar energy potential maps derived from global DSMs for rooftop solar panel placement using deep learning

Heliyon, 11(1).

Muth, L. J., Bierbauer, S., Hoose, C., Vogel, B., Vogel, H., & Hoshyaripour, G. A.
Influence of Fire-Induced Heat and Moisture Release on Pyro-Convective Cloud Dynamics During the Australian New Year's Event: A Study Using Convection-Resolving Simulations and Satellite Data

EGUsphere, 2025, 1-22.

Wang, Z. et al.
Aerosol Retrieval Method Using Multi-Angle Data from GF-5 02 DPC over the Jing–Jin–Ji Region

Remote Sensing, 17(8), 1415.

Roșu, I. A., Mourgela, R. N., Kasoar, M., Boleti, E., Parrington, M., & Voulgarakis, A.
Large-scale impacts of the 2023 Canadian wildfires on the Northern Hemisphere atmosphere

npj Clean Air, 1(1), 22

Lu, H. et al.
The contribution of fires to PM2.5 and population exposure in Asia Pacific

Atmospheric Chemistry and Physics, 25(17), 10141-10158.

Pan, R., Sun, J., Hu, B., & Liu, R
Attribution of vegetation changes in China based on improved residual trend method

Chinese Journal of Applied Ecology/Yingyong Shengtai Xuebao, 36(8).

Soni, P. S. et al.
Study of Aerosols Optical Depth and Ångström Exponent Over IGP: A Case Study

Aerosol Science and Engineering, 1-13.

Faria, A. L. S. et al.
The Role of the Intertropical Convergence Zone on the Aerosol Transport Pathways From Africa Towards the Western Tropical Atlantic Ocean

International Journal of Climatology, Volume 45, Issue 10, id.e8910, 16 pp

Duran, B. M. et al.
A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models

Atmospheric Chemistry and Physics, 25(4), 2123-2146.

Deng, S., Bai, T., Chen, Z., & Chen, Y.
A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province

Remote Sensing, 17(8), 1396.

Keller, G. R., Rosenberg, R. A., Merrelli, A., O’Dell, C. W., Spiers, G. D., Payne, V., & Chatterjee, A.
New Inflight Calibration of OCO-3’s A-Band for Version 11 Products

IEEE Transactions on Geoscience and Remote Sensing

Mohammad, L., Bandyopadhyay, J., Mondal, I., Altuwaijri, H. A., Hossain, S. A., Juliev, M., & Almaliki, A. H.
Air pollution and respiratory health risks in Jharkhand: a remote sensing and statistical approach

Environmental Monitoring and Assessment, 197(5), 540

Panicker, N. K. K., & Valarmathi, J.
Time series prediction of aerosol optical depth across the northern Indian region: integrating PSO-optimized SARIMA-SVR based on MODIS data

Acta Geophysica, 73(2), 2097-2126

Zaman, N. A. F. K
Twenty-Five Years of Satellite-Based Particulate Matter Estimation: A Bibliometric Analysis

Journal of Advanced Geospatial Science & Technology, 5(2), 266-285.

Unik, M., Sitanggang, I. S., Syaufina, L., & Jaya, I.
Stacking Regressor Model for PM 2.5 Concentration Prediction Based on Spatiotemporal Data

International Journal of Advanced Computer Science & Applications, 16(1)

Kumar, A., & Mehta, M.
Global evaluation of sentinel 2 level 2A Sen2Cor aerosol optical thickness retrievals

International Journal of Remote Sensing, 46(2), 728-744.

Jion, M. M. M. F. et al.
A critical review of NO2 and AOD in major Asian cities: challenges, mitigation approaches and way forwards

Air Quality, Atmosphere & Health, 18(1), 43-59.

Proestakis, E. et al.
Atmospheric Dust and Air Quality over large-cities and megacities of the World

EGUsphere, 2025, 1-58

Whaley, C. H. et al.
HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts

Geoscientific Model Development, 18(11), 3265-3309

Mohammad, L., Bandyopadhyay, J., Mondal, I., Altuwaijri, H. A., Pradhan, S., Hossain, S. A., & Juliev, M.
Evaluation of the spatiotemporal changes in ecological quality and public health status: a case study of Jharkhand State in India

Environ Dev Sustain 27, 14841–14877

Kumar, A., Singh, S., Chauhan, P. K., Sharma, G., Pratap, V., & Singh, A. K
Variation of aerosol optical and physical properties and their impact on rainfall over Indo-Gangetic Basin

Meteorology and Atmospheric Physics, 137(3), 1-14

Tan, C., Liu, C., Li, T., Luan, Z., Tang, M., & Zhao, T.
A Dynamically Updated Dust Source Function for Dust Emission Scheme: Improving Dust Aerosol Simulation on an East Asian Dust Storm

Atmosphere, 16(4), 357

Saeed, W., Tajbar, S., & Ullah, Z.
Spatiotemporal covariability between air pollution and meteorological variables over Khyber Pakhtunkhwa, Pakistan

Environmental Monitoring and Assessment, 197(4), 450.

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