Assessing GEDI-NASA system for forest fuels classification using machine learning techniques

  1. Hoffrén, R.
  2. Lamelas, M.T.
  3. de la Riva, J.
  4. Domingo, D.
  5. Montealegre, A.L.
  6. García-Martín, A.
  7. Revilla, S.
Aldizkaria:
International Journal of Applied Earth Observation and Geoinformation

ISSN: 1872-826X,  1569-8432

Argitalpen urtea: 2023

Alea: 116

Mota: Artikulua

DOI: 10.1016/J.JAG.2022.103175 GOOGLE SCHOLAR lock_openSarbide irekia editor

Garapen Iraunkorreko Helburuak