Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach

Author:

Yang Qianqian,Yuan QiangqiangORCID,Yue Linwei,Li Tongwen,Shen HuanfengORCID,Zhang LiangpeiORCID

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of Wuhan Univeristy

Science and Technology Major Project of Hubei Province

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference58 articles.

1. Estimating urban PM10 and PM2.5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data;Beloconi;Remote Sens. Environ.,2016

2. Impacts of snow and cloud covers on satellite-derived PM2.5 levels;Bi;Remote Sens. Environ.,2019

3. Applied multiple linear regression (Vol. 63, No. 6). 6570th Personnel Research Laboratory, Aerospace Medical Division;Bottenberg;Air Force Systems Command, Lackland Air Force Base.,1963

4. Fifteen-year global time series of satellite-derived fine particulate matter;Boys;Environ. Sci. Technol.,2014

5. Random Forest;Breiman;Machine Learning,2001

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