Radiative transfer model inversion using high-resolution hyperspectral airborne imagery – Retrieving maize LAI to access biomass and grain yield
Type:
Title:
Radiative transfer model inversion using high-resolution hyperspectral airborne imagery – Retrieving maize LAI to access biomass and grain yield
Creator:
Ahmed Kayad;
Rodrigues, F.;
https://orcid.org/0000-0001-7273-2217
Scopus ID
Researcher ID
Mendeley
Items in this Repository
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Naranjo, S.;
Sozzi, M.;
Pirotti, F.;
Marinello, F.;
Schulthess, U.;
Defourny, P.;
Gerard, B.;
Weiss, M.
Rodrigues, F.;

Rodrigues, F.




View
Naranjo, S.;
Sozzi, M.;
Pirotti, F.;
Marinello, F.;
Schulthess, U.;

Defourny, P.;
Gerard, B.;

Weiss, M.
Year:
2022
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Field Crops Research
Journal volume:
282
Article number:
108449
Place of Publication:
Amsterdam (Netherlands)
Publisher:
Elsevier
Citation:
Radiative transfer model inversion using high-resolution hyperspectral airborne imagery – Retrieving maize LAI to access biomass and grain yield. 2022. 282 DOI: 10.1016/j.fcr.2022.108449 Elsevier.