Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling

The spaceborne imaging spectroscopy mission PRecursore IperSpettrale della Missione Applicativa (PRISMA), launched on 22 March 2019 by the Italian Space Agency, opens new opportunities in many scientific domains, including precision farming and sustainable agriculture. This new Earth Observation (EO...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	European journal of remote sensing Jg. ahead-of-print; H. ahead-of-print; S. 1 - 17
Hauptverfasser:	Ranghetti, Marina, Boschetti, Mirco, Ranghetti, Luigi, Tagliabue, Giulia, Panigada, Cinzia, Gianinetto, Marco, Verrelst, Jochem, Candiani, Gabriele
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Italy Taylor & Francis 31.12.2023 Taylor & Francis Ltd Taylor & Francis Group
Schlagworte:	Algorithms Canopies Chlorophyll Data transmission Image acquisition Machine learning machine learning regression algorithms Nitrogen Nitrogen content plant nitrogen uptake estimation Plant phenology Precision agriculture Precision farming Radiative transfer radiative transfer models Spectroscopy Sustainable agriculture radiative transfer models Precision farming plant nitrogen uptake estimation machine learning regression algorithms
ISSN:	2279-7254, 2279-7254
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!