RC Levy, S Mattoo, LA Munchak… - Atmospheric …, 2013 - amt.copernicus.org
The twin Moderate resolution Imaging Spectroradiometer (MODIS) sensors have been flying on Terra since 2000 and Aqua since 2002, creating an extensive data set of global Earth …
K Gui, W Yao, H Che, L An, Y Zheng, L Li… - Atmospheric …, 2022 - acp.copernicus.org
Although a remarkable reduction in the frequency of sand and dust storms (SDSs) in the past several decades has been reported over northern China (NC), two unexpected mega …
Y Yu, P Ginoux - Nature Geoscience, 2022 - nature.com
Large wildfires reduce vegetation cover and soil moisture, leaving the temporally degraded landscapes an emergent source of dust emission. However, the global extent of post-fire …
C Chen, O Dubovik, D Fuertes… - Earth System …, 2020 - essd.copernicus.org
Proven by multiple theoretical and practical studies, multi-angular spectral polarimetry is ideal for comprehensive retrieval of properties of aerosols. Furthermore, a large number of …
RC Levy, LA Remer, S Mattoo… - Journal of …, 2007 - Wiley Online Library
Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from Moderate Resolution Imaging Spectroradiometer (MODIS) …
Y Zhang, Z Li - Remote Sensing of Environment, 2015 - Elsevier
With the economic development during the past thirty years, the atmospheric particulate matters over eastern China have reached high levels, causing serious environmental …
A Gkikas, E Proestakis, V Amiridis… - Atmospheric …, 2021 - amt.copernicus.org
Monitoring and describing the spatiotemporal variability in dust aerosols is crucial for understanding their multiple effects, related feedbacks, and impacts within the Earth system …
J Zhang, JS Reid - Journal of Geophysical Research …, 2006 - Wiley Online Library
Currently, the Moderate‐resolution Imaging Spectroradiometers (MODIS) level II aerosol product (MOD04/MYD04) is the best aerosol optical depth product suitable for near‐real …
We derived two observation-based global monthly mean dust aerosol optical depth (DAOD) climatological datasets from 2007 to 2019 with a 2∘(latitude)× 5∘(longitude) spatial …