GEOV2 : Improved smoothed and gap filled time series of LAI, FAPAR and FCover 1 km Copernicus Global Land products
Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Sánchez-Zapero, Jorge (The Earth Observation Laboratory (EOLAB))
Weiss, Marie (Avignon Université. Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)
Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Camacho, Fernando (The Earth Observation Laboratory (EOLAB))
Lacaze, Roselyne (Hygeos)
Baret, Frédéric (Avignon Université. Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement)

Date:	2023
Abstract:	Essential vegetation variables including leaf area index (LAI), fraction of absorbed photosynthetic active radiation (FAPAR) and fraction of green vegetation cover (FCover) are produced and distributed in the Copernicus Global Land Service. We describe here the algorithmic principles, consistency and improvements of GEOV2, Version 2 of LAI, FAPAR and FCover products derived from SPOT/VGT (1999-2013) and PROBA-V data (2014-2020) at 1 km resolution, as compared to the earlier version GEOV1. GEOV2 is based on neural networks first trained with CYCLOPES and MODIS products to estimate LAI, FAPAR and FCover from daily top of canopy reflectance. Temporal techniques are then applied to filter, smooth, fill gaps and get a composited value every 10 days. Results show that GEOV2 products keep a high consistency with GEOV1 (90% of residuals within ± max(0. 5, 20%) LAI, and 80% within ± max(0. 05, 10%) FAPAR / FCover) and improves in terms of product completeness (<1% of missing data), temporal consistency, consistency across variables and accuracy.
Grants:	European Commission 218795
Rights:
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Global vegetation monitoring ; Leaf area index ; Fraction of absorbed PAR ; Green vegetation cover ; SPOT/VGT ; PROBA-V
Published in:	International journal of applied earth observation and geoinformation, Vol. 123 (September 2023) , art. 103479, ISSN 1872-826X

DOI: 10.1016/j.jag.2023.103479

12 p, 6.4 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Articles > Research articles
Articles > Published articles