"Extraction of Plant Physiological Status from Hyperspectral Signatures ..."

Daniel Doktor et al. (2014)

> Home

Details and statistics

DOI: 10.3390/RS61212247

access: open

type: Journal Article

metadata version: 2024-06-18

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/DoktorLST14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/DoktorLST14
Daniel Doktor, Angela Lausch, Daniel Spengler, Martin Thurner:
Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods. Remote. Sens. 6(12): 12247-12274 (2014)

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.