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Tropical and Boreal Forest – Atmosphere Interactions: A Review
This review presents how the boreal and the tropical forests affect the atmosphere, its
chemica...
Artaxo, P, Hansson, H-C, .... de Leeuw, G. ..... | Journal: Tellus B: Chemical and Physical Meteorology | Volume: 74 | Year: 2022 | First page: 24 | Last page: 163 | doi: https://doi.org/10.16993/tellusb.34
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Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and Reanalyses data.
In this study, combined Dark Target and Deep Blue (DTB) aerosol optical depth at 550 nm (AOD550 n...
Ali, M.A. Bilal, M., Wang, Y., Qiu, Z., Nichol, J.E., Mhawish, A., de Leeuw, G., Zhang, Y., Shahid, S., Almazroui, M., Islam, M.N., Rahman, M.A., Mondol, S.K., Tiwari, P., Khedher, K.M. | Journal: Journal of Environmental Management | Volume: 35 | Year: 2022 | First page: 115097 | doi: https://doi.org/10.1016/j.jenvman.2022.115097
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FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG
The Advanced Geostationary Radiation Imager (AGRI) is one of the main imaging sensors on the Feng...
Ding, H., L. Zhao, S. Liu, X. Chen, G. de Leeuw, F. Wang, F. Zheng, Y. Zhang, J. Liu, J. Li, L. She, Y. Si, X. Gu. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 5591 | doi: https://doi.org/10.3390/rs14215591
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Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021.
The spatiotemporal variation of the aerosol optical depth (AOD) over China was studied using MODI...
de Leeuw, G., Fan, C, Li, Z., Dong, J., Li, Y., Ou, Y., and Zhu, S. | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | First page: 101359 | doi: https://doi.org/10.1016/j.apr.2022.101359
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Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.
Geostationary satellites observe the earth surface and atmosphere with a short repeat
time, thus...
Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980
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