Geospatial Research (United Kingdom)

most citedEstimating ground-level PM2.5 by fusing satellite and station observations: A geo-intelligent deep learning approach

417 citations

researchers with a paper here

Aiman Soliman1
B. Nazari1 · h 5
Dandong Yin1
Huanfeng Shen1 · h 76
Junjun Yin1
Liangpei Zhang1 · h 130
Qiangqiang Yuan1 · h 59
Shaowen Wang1
Tongwen Li1 · h 33
Xuechen Zhang1 · h 3

collaborating institutions

Digital Science (United States)US1 paper
Graphic Science (United Kingdom)GB1 paper
Ministry of EducationCL1 paper
National Center for Supercomputing ApplicationsUS1 paper
State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingCN1 paper
University of Illinois Urbana-ChampaignUS1 paper
University of TehranIR1 paper
Wuhan UniversityCN1 paper

Showing physics.ao-phShow all

1 paper · 1 filter

physics.ao-ph2017★ 417 cited

Estimating ground-level PM2.5 by fusing satellite and station observations: A geo-intelligent deep learning approach

Tongwen Li, Huanfeng Shen, Qiangqiang Yuan +2

Fusing satellite observations and station measurements to estimate ground-level PM2.5 is promising for monitoring PM2.5 pollution. A geo-intelligent approach, which incorporates ge…