"Estimating Ground-Level NO2 Concentrations Using Machine Learning ..."

Jesus Rodrigo Cedeno Jimenez, Maria Antonia Brovelli (2024)

> Home

Details and statistics

DOI: 10.3390/RS16173320

access: open

type: Journal Article

metadata version: 2024-09-20

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/JimenezB24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/JimenezB24
Jesus Rodrigo Cedeno Jimenez, Maria Antonia Brovelli:
Estimating Ground-Level NO2 Concentrations Using Machine Learning Exclusively with Remote Sensing and ERA5 Data: The Mexico City Case Study. Remote. Sens. 16(17): 3320 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.