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
collaborating institutions

2 papers

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…

cs.SI2017

Depicting urban boundaries from a mobility network of spatial interactions: A case study of Great Britain with geo-located Twitter data

Junjun Yin, Aiman Soliman, Dandong Yin +1

Existing urban boundaries are usually defined by government agencies for administrative, economic, and political purposes. Defining urban boundaries that consider socio-economic re…