"A Machine Learning approach to reconstruct cloudy affected vegetation ..."

Erli Pinto dos Santos et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.COMPAG.2022.106753

access: closed

type: Journal Article

metadata version: 2022-10-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cea/SantosSAFD22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cea/SantosSAFD22
Erli Pinto dos Santos, Demetrius David da Silva, Cibele Hummel do Amaral, Elpídio Inácio Fernandes Filho, Rafael Luís Silva Dias:
A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8. Comput. Electron. Agric. 194: 106753 (2022)

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.