37 citations as recorded by crossref.

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8. Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe S. Ibrahim et al. 10.3390/rs13153027
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11. Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products M. Román et al. 10.1016/j.rse.2023.113963
12. Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm for Himawari-8 Data L. She et al. 10.3390/rs11232771
13. Wildfire Smoke Cools Summer River and Stream Water Temperatures A. David et al. 10.1029/2018WR022964
14. New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests H. Hashimoto et al. 10.1038/s41467-021-20994-y
15. Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds T. Eck et al. 10.5194/acp-14-11633-2014
16. Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach J. Wei et al. 10.1016/j.rse.2019.111221
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18. Constraining chemical transport PM<sub>2.5</sub> modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley M. Friberg et al. 10.5194/acp-18-12891-2018
19. A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations W. Wang et al. 10.3390/rs14040964
20. Improvement of spatial-temporal resolution of aerosol profile by using multi-source satellite data over the Persian Gulf M. Pashayi et al. 10.1016/j.atmosenv.2022.119410
21. Calibration of Maxar Constellation Over Libya-4 Site Using MAIAC Technique M. Choi et al. 10.1109/JSTARS.2024.3367250
22. MODIS Collection 6 MAIAC algorithm A. Lyapustin et al. 10.5194/amt-11-5741-2018
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24. Limitations of cloud cover for optical remote sensing of agricultural areas across South America V. Prudente et al. 10.1016/j.rsase.2020.100414
25. The HelioMont method for assessing solar irradiance over complex terrain: Validation and improvements M. Castelli et al. 10.1016/j.rse.2014.07.018
26. Atmospheric pollutants in Rosario, Argentina analysed through remote sensing: Wildfires and COVID-19 lockdown effects M. Valle Seijo et al. 10.1016/j.rsase.2024.101326
27. Mapping Seasonal High-Resolution PM2.5 Concentrations with Spatiotemporal Bagged-Tree Model across China J. He et al. 10.3390/ijgi10100676
28. Evaluation and comparison of MODIS and VIIRS aerosol optical depth (AOD) products over regions in the Eastern Mediterranean and the Black Sea P. Ettehadi Osgouei et al. 10.1016/j.atmosenv.2021.118784
29. Spatiotemporal Variations and Driving Factor Analysis of Aerosol Optical Depth in Terrestrial Ecosystems in Northern Xinjiang from 2001 to 2023 Z. Xiang et al. 10.3390/atmos15111302
30. Transport of Po Valley aerosol pollution to the northwestern Alps – Part 1: Phenomenology H. Diémoz et al. 10.5194/acp-19-3065-2019
31. Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR Y. Qin et al. 10.1109/TGRS.2015.2433911
32. Observed aerosol-induced radiative effect on plant productivity in the eastern United States S. Strada et al. 10.1016/j.atmosenv.2015.09.051
33. Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data L. Della Ceca et al. 10.1016/j.isprsjprs.2018.08.016
34. Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments L. Di Antonio et al. 10.5194/acp-23-12455-2023
35. Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia E. Kang et al. 10.1016/j.atmosenv.2023.119951
36. Influence of the Indian Summer Monsoon on Inter-Annual Variability of the Tibetan-Plateau NDVI in Its Main Growing Season X. Mao et al. 10.3390/rs15143612
37. LST retrieval algorithm adapted to the Amazon evergreen forests using MODIS data J. Gomis-Cebolla et al. 10.1016/j.rse.2017.10.015