Near‐Cloud Aerosol Retrieval Using Machine Learning Techniques, and Implied Direct Radiative Effects
Sign Up to like & getrecommendations! Published in 2022 at "Geophysical Research Letters"
DOI: 10.1029/2022gl098274
Abstract: There is a lack of satellite‐based aerosol retrievals in the vicinity of low‐topped clouds, mainly because reflectance from aerosols is overwhelmed by three‐dimensional cloud radiative effects. To account for cloud radiative effects on reflectance observations,… read more here.
Keywords: direct radiative; aerosol retrieval; aerosol; near cloud ... See more keywords
A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2892813
Abstract: Moderate resolution imaging spectroradiometer (MODIS) has been widely used in related aerosol studies because of its long data records. However, operational aerosol optical depth (AOD) products at coarse spatial resolutions limit their applications on small… read more here.
Keywords: resolution; aerosol retrieval; modis; aod ... See more keywords
Satellite Aerosol Retrieval Using Scene Simulation and Deep Belief Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3116154
Abstract: Aerosol satellite remote sensing retrieval is of great importance in the study of climatic and environmental effects. However, due to varied factors affecting the signals reaching satellite sensors, accurate aerosol retrieval remains challenging. Focusing on… read more here.
Keywords: aerosol retrieval; retrieval; network; deep belief ... See more keywords
Aerosol Retrieval Algorithm for Sentinel-2 Images over Complex Urban Areas
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3158061
Abstract: High-resolution aerosol retrieval is of great significance for understanding the impact of aerosols on air pollution and climate change. In this study, an algorithm for aerosol retrieval at a spatial resolution of 60 m over… read more here.
Keywords: sentinel aods; urban areas; aerosol retrieval; retrieved sentinel ... See more keywords