43 citations as recorded by crossref.

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2. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
3. Impact of environmental attributes on the uncertainty in MAIAC/MODIS AOD retrievals: A comparative analysis S. Falah et al. https://doi.org/10.1016/j.atmosenv.2021.118659
4. Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data O. Zawadzka & K. Markowicz https://doi.org/10.3390/rs6087182
5. Retrieval of Aerosol Single-Scattering Albedo from MODIS Data Using an Artificial Neural Network L. Qi et al. https://doi.org/10.3390/rs14246341
6. Optimal estimation of spectral surface reflectance in challenging atmospheres D. Thompson et al. https://doi.org/10.1016/j.rse.2019.111258
7. Operational AOD Retrieval at Subkilometer Resolution Using OceanSat‐2 OCM Over Land: SAER Algorithm, Uncertainties, Validation & Inter‐Sensor Comparison M. Mishra et al. https://doi.org/10.1029/2023EA002896
8. Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS L. Wang et al. https://doi.org/10.1016/j.isprsjprs.2024.06.022
9. Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. https://doi.org/10.5194/amt-13-985-2020
10. Long-term validation and error analysis of DB and MAIAC aerosol products over bright surface of China W. Ji et al. https://doi.org/10.1016/j.atmosres.2023.107106
11. Simultaneous Characterization of Wildfire Smoke and Surface Properties With Imaging Spectroscopy During the FIREX‐AQ Field Campaign P. Brodrick et al. https://doi.org/10.1029/2021JD034905
12. Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) M. Schaepman et al. https://doi.org/10.1016/j.rse.2014.11.014
13. Surface albedo regulates aerosol direct climate effect A. Chen et al. https://doi.org/10.1038/s41467-024-52255-z
14. XCO2 retrieval error over deserts near critical surface albedo Q. Zhang et al. https://doi.org/10.1002/2015EA000143
15. Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al. https://doi.org/10.1016/j.jqsrt.2014.01.003
16. Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L. Feng et al. https://doi.org/10.1016/j.scitotenv.2021.148958
17. Orbiting Carbon Observatory-2 (OCO-2) cloud screening algorithms: validation against collocated MODIS and CALIOP data T. Taylor et al. https://doi.org/10.5194/amt-9-973-2016
18. Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. https://doi.org/10.1109/TGRS.2023.3330544
19. Assessment of Atmospheric Correction Methods for Sentinel-2 MSI Images Applied to Amazon Floodplain Lakes V. Martins et al. https://doi.org/10.3390/rs9040322
20. Error sources in the retrieval of aerosol information over bright surfaces from satellite measurements in the oxygen A band S. Nanda et al. https://doi.org/10.5194/amt-11-161-2018
21. Accuracy, stability, and continuity of AVHRR, SeaWiFS, MODIS, and VIIRS deep blue long-term land aerosol retrieval in Asia X. Su et al. https://doi.org/10.1016/j.scitotenv.2022.155048
22. Improvements in aerosol layer height retrievals from TROPOMI oxygen A-band measurements by surface albedo fitting in optimal estimation M. de Graaf et al. https://doi.org/10.5194/amt-18-2553-2025
23. Revisiting Pseudo Invariant Calibration Sites (PICS) Over Sand Deserts for Vicarious Calibration of Optical Imagers at 20 km and 100 km Scales C. Bacour et al. https://doi.org/10.3390/rs11101166
24. Global evaluation and uncertainty analysis of MODIS Deep Blue and MAIAC aerosol products over bright surfaces P. Zhang et al. https://doi.org/10.1016/j.atmosenv.2026.121991
25. New spectral functions of the near-ground albedo derived from aircraft diffraction spectrometer observations C. Varotsos et al. https://doi.org/10.5194/acp-14-6953-2014
26. The Ascension Island Boundary Layer in the Remote Southeast Atlantic is Often Smoky P. Zuidema et al. https://doi.org/10.1002/2017GL076926
27. Retrieval of aerosol parameters from the oxygen A band in the presence of chlorophyll fluorescence A. Sanders & J. de Haan https://doi.org/10.5194/amt-6-2725-2013
28. Multi-Sensor Retrieval of Aerosol Optical Properties for Near-Real-Time Applications Using the Metop Series of Satellites: Concept, Detailed Description, and First Validation M. Grzegorski et al. https://doi.org/10.3390/rs14010085
29. Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. https://doi.org/10.1016/j.scitotenv.2023.163794
30. Reconstructing coastal blue with blue spectrum based on ZY-1(02D) satellite W. Tan et al. https://doi.org/10.1016/j.ijleo.2021.166901
31. Absolute radiometric calibration with lunar surface reflectance as reference for earth-observing VNIR camera W. Tan et al. https://doi.org/10.1016/j.heliyon.2022.e11776
32. Above-cloud aerosol radiative effects based on ORACLES 2016 and ORACLES 2017 aircraft experiments S. Cochrane et al. https://doi.org/10.5194/amt-12-6505-2019
33. Total CO2 budget estimate and degassing dynamics for an active stratovolcano: Turrialba Volcano, Costa Rica K. Nelson et al. https://doi.org/10.1016/j.jvolgeores.2024.108075
34. Intercomparison of satellite dust retrieval products over the west African Sahara during the Fennec campaign in June 2011 J. Banks et al. https://doi.org/10.1016/j.rse.2013.05.003
35. Development of a Multispectral Albedometer and Deployment on an Unmanned Aircraft for Evaluating Satellite Retrieved Surface Reflectance over Nevada’s Black Rock Desert J. Boehmler et al. https://doi.org/10.3390/s18103504
36. Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. https://doi.org/10.3389/fenvs.2021.770662
37. Assessment of the spectral misalignment effect (SMILE) on EarthCARE's Multi-Spectral Imager aerosol and cloud property retrievals N. Docter et al. https://doi.org/10.5194/amt-17-2507-2024
38. Global maps of aerosol single scattering albedo using combined CERES-MODIS retrieval A. Devi & S. Satheesh https://doi.org/10.5194/acp-22-5365-2022
39. Can We Detect the Brownness or Greenness of the Congo Rainforest Using Satellite-Derived Surface Albedo? A Study on the Role of Aerosol Uncertainties S. Moparthy et al. https://doi.org/10.3390/su11051410
40. Can satellite-derived aerosol optical depth quantify the surface aerosol radiative forcing? H. Xu et al. https://doi.org/10.1016/j.atmosres.2014.07.008
41. Assessing Earth's sphericity effects in the specific case of geostationary satellite observations: focus on operational land/aerosol applications from Meteosat Third Generation-Imager G. Klein et al. https://doi.org/10.5194/amt-19-2787-2026
42. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. https://doi.org/10.1002/2017JD026934
43. Assessing the Potential of Geostationary Satellites for Aerosol Remote Sensing Based on Critical Surface Albedo X. Ceamanos et al. https://doi.org/10.3390/rs11242958