• Corpus ID: 119444732

Validation approaches for satellite-based PM2.5 estimation: Assessment and a new approach

@article{Li2018ValidationAF,
  title={Validation approaches for satellite-based PM2.5 estimation: Assessment and a new approach},
  author={Tongwen Li and Huanfeng Shen and Qiangqiang Yuan and Liang-pei Zhang},
  journal={arXiv: Atmospheric and Oceanic Physics},
  year={2018}
}
Satellite-derived aerosol optical depth (AOD) has been increasingly employed for the estimation of ground-level PM2.5, which is often achieved by modeling the relationship between AOD and PM2.5. To evaluate the accuracy of PM2.5 estimation, the cross-validation (CV) technique has been widely used. There have been several CV-based validation approaches applied for the AOD-PM2.5 models. However, the applicable conditions of these validation approaches still remain unclear. Additionally, is there… 
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