Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/350663
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | GEOV2: Improved smoothed and gap filled time series of LAI, FAPAR and FCover 1 km Copernicus Global Land products |
Autor: | Verger, Aleixandre CSIC ORCID; Sánchez-Zapero, Jorge; Weiss, Marie; Descals, Adrià; Camacho, Fernando; Lacaze, Roselyne; Baret, Frédéric | Palabras clave: | Global vegetation monitoring Leaf area index Fraction of absorbed PAR Green vegetation cover SPOT/VGT PROBA-V |
Fecha de publicación: | sep-2023 | Editor: | Elsevier | Citación: | International Journal of Applied Earth Observation and Geoinformation 123: 103479 (2023) | Resumen: | 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. | Versión del editor: | https://doi.org/10.1016/j.jag.2023.103479 | URI: | http://hdl.handle.net/10261/350663 | DOI: | 10.1016/j.jag.2023.103479 | ISSN: | 0303-2434 | E-ISSN: | 1872-826X |
Aparece en las colecciones: | (CIDE) Artículos (CREAF) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
GEOV2_Verger_Art_2023.pdf | 6,51 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
1
checked on 07-may-2024
Page view(s)
23
checked on 07-may-2024
Download(s)
7
checked on 07-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons