"Combining Environmental, Multispectral, and LiDAR Data Improves Forest ..."

Raphael Trouvé et al. (2023)

> Home

Details and statistics

DOI: 10.3390/RS15010060

access: open

type: Journal Article

metadata version: 2023-02-10

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/TrouveJFWKBN23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/TrouveJFWKBN23
Raphael Trouvé, Ruizhu Jiang, Melissa Fedrigo, Matt D. White, Sabine Kasel, Patrick J. Baker, Craig R. Nitschke:
Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests. Remote. Sens. 15(1): 60 (2023)

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.