Investigating Patterns of Air Pollution in Metropolises Using Remote Sensing and Neural Networks During the COVID-19 Pandemic.

Shaygan M, Mokarram M

Open source

DOI
10.1016/j.asr.2023.06.027
Published
2023 Jun 21
Container
Advances in space research : the official journal of the Committee on Space Research (COSPAR)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.asr.2023.06.027,
  title = {Investigating Patterns of Air Pollution in Metropolises Using Remote Sensing and Neural Networks During the COVID-19 Pandemic.},
  author = {Shaygan M and Mokarram M},
  year = {2023},
  journal = {Advances in space research : the official journal of the Committee on Space Research (COSPAR)},
  doi = {10.1016/j.asr.2023.06.027},
  url = {https://doi.org/10.1016/j.asr.2023.06.027}
}

RIS

TY  - JOUR
TI  - Investigating Patterns of Air Pollution in Metropolises Using Remote Sensing and Neural Networks During the COVID-19 Pandemic.
AU  - Shaygan M
AU  - Mokarram M
PY  - 2023
JO  - Advances in space research : the official journal of the Committee on Space Research (COSPAR)
DO  - 10.1016/j.asr.2023.06.027
UR  - https://doi.org/10.1016/j.asr.2023.06.027
ER  - 

APA

M, S., & M, M. (2023). Investigating Patterns of Air Pollution in Metropolises Using Remote Sensing and Neural Networks During the COVID-19 Pandemic.. Advances in space research : the official journal of the Committee on Space Research (COSPAR). https://doi.org/10.1016/j.asr.2023.06.027

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