Poster + Paper
12 September 2021 LSA SAF: a long-term service of vegetation variables for modelling terrestrial ecosystems at regional and global scales
F. Javier García-Haro, Manuel Campos-Taberner, Beatriz Martínez, Sergio Sánchez-Ruiz, Fernando Camacho, M. Amparo Gilabert
Author Affiliations +
Conference Poster
Abstract
The LSA-SAF produces and disseminates variables for the characterization of terrestrial ecosystems and their role in the energy balance of Earth, such as land surface fluxes and vegetation parameters, taking full advantage of remotely sensed data from EUMETSAT satellites and sensors. All LSA SAF products are distributed according with EUMETSAT data policy and have been classified as essential and are distributed free of charge. This work provides an overview of the SEVIRI/MSG and AVHRR/MetOp LSA-SAF vegetation products. The LSA-SAF vegetation products provide consistent long-term data records with well-characterized uncertainty, which are required by the scientific community to model terrestrial ecosystems and energy cycles at regional and global scales. Three vegetation products (FVC, LAI, FAPAR) are provided from SEVIRI/MSG and AVHRR/MetOp observations. The vegetation products are routinely validated and provide pixel-wise uncertainty estimates and quality flag information to identify unreliable observations. The entire archive with the latest version of the several retrieval algorithms has been reprocessed in recent years in order to generate a homogeneous Climate Data Records (CDRs) of these vegetation variables. LSA-SAF has also developed recently two new products, SEVIRI/MSG GPP and EPS/AVHRR CWC. The future generation of new LSA-SAF products derived from the future MTG and EPS-SG satellites, with higher spatial and spectral resolution, will guarantee the continuity of the service.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Javier García-Haro, Manuel Campos-Taberner, Beatriz Martínez, Sergio Sánchez-Ruiz, Fernando Camacho, and M. Amparo Gilabert "LSA SAF: a long-term service of vegetation variables for modelling terrestrial ecosystems at regional and global scales", Proc. SPIE 11858, Sensors, Systems, and Next-Generation Satellites XXV, 118581B (12 September 2021); https://doi.org/10.1117/12.2600318
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KEYWORDS
Vegetation

Climatology

Ecosystems

Satellites

Modeling

Data modeling

Environmental sensing

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