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Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach

Publication ,  Journal Article
Zheng, T; Bergin, MH; Hu, S; Miller, J; Carlson, DE
Published in: Atmospheric Environment
2020

Duke Scholars

Published In

Atmospheric Environment

Publication Date

2020

Start / End Page

117451 / 117451

Publisher

Pergamon

Related Subject Headings

  • Meteorology & Atmospheric Sciences
  • 4011 Environmental engineering
  • 3702 Climate change science
  • 3701 Atmospheric sciences
  • 0907 Environmental Engineering
  • 0401 Atmospheric Sciences
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zheng, T., Bergin, M. H., Hu, S., Miller, J., & Carlson, D. E. (2020). Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach. Atmospheric Environment, 117451–117451.
Zheng, Tongshu, Michael H. Bergin, Shijia Hu, Joshua Miller, and David E. Carlson. “Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach.” Atmospheric Environment, 2020, 117451–117451.
Zheng T, Bergin MH, Hu S, Miller J, Carlson DE. Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach. Atmospheric Environment. 2020;117451–117451.
Zheng, Tongshu, et al. “Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach.” Atmospheric Environment, Pergamon, 2020, pp. 117451–117451.
Zheng T, Bergin MH, Hu S, Miller J, Carlson DE. Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach. Atmospheric Environment. Pergamon; 2020;117451–117451.

Published In

Atmospheric Environment

Publication Date

2020

Start / End Page

117451 / 117451

Publisher

Pergamon

Related Subject Headings

  • Meteorology & Atmospheric Sciences
  • 4011 Environmental engineering
  • 3702 Climate change science
  • 3701 Atmospheric sciences
  • 0907 Environmental Engineering
  • 0401 Atmospheric Sciences
  • 0104 Statistics