GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements

Due to their importance in monitoring and modelling Earth's climate, the Global Climate Observing System (GCOS) designates leaf area index (LAI) and the fraction of absorbed photosynthetically active radiation (FAPAR) as essential climate variables (ECVs). The Simplified Level 2 Biophysical Pro...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Remote sensing of environment Jg. 326; S. 114797
Hauptverfasser:	Brown, Luke A., Fernandes, Richard, Verrelst, Jochem, Morris, Harry, Djamai, Najib, Reyes-Muñoz, Pablo, D.Kovács, Dávid, Meier, Courtney
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 15.08.2025
Schlagworte:	algorithms automation biodiversity Canada carbon climate environment forest management Fraction of absorbed photosynthetically active radiation FRM GPR land cover Leaf area index Machine learning photosynthetically active radiation radiative transfer terrestrial ecosystems uncertainty vegetation Canada FRM GPR Fraction of absorbed photosynthetically active radiation Machine learning Leaf area index S2
ISSN:	0034-4257
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!