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ESA Vegetation Parameters Climate Change Initiative (Vegetation_Parameters_cci): LAI and fAPAR, Version 1.0

Update Frequency: Not Planned
Latest Data Update: 2023-11-15
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2023-12-18
DOI Publication Date: 2023-12-18
Download Stats: last 12 months
Dataset Size: 54.01K Files | 263GB


Climate Research Data Package 1 from the ESA Climate Change Initiative Vegetation Parameters Project (Vegetation_parameters_cci). The dataset consists of Leaf Area Index (LAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) gridded at 1 km resolution for the period 2000-2020. The dataset is based on data from SPOT4/5-VEGETATION1/2 and PROBA-V as input data.

LAI and fAPAR are retrieved using OptiSAIL (see Blessing and Giering, 2021 doi:10.20944/preprints202109.0147.v1). The dataset is processed for a north-south transect from Finland to South-Africa, as well as for a set of globally distributed sites that is representative for all biomes and for those sites where in-situ reference data is available.

The temporal resolution of both datasets is 5 days, but is computed using data selected from a symmetric 10-days window. The data are not smoothed in time. The transect is ordered in tiles following the PROBA-V tiling definition. These files contain the fully validated layers of (effective) LAI, fAPAR, their uncertainties and the correlation between both. The sites additionally include the variables Chlorophyll a+b leaf pigment concentration (Cab), the fraction of Chlorophyll Absorbed Photosynthetically Active Radiation (fAPAR_Cab) and Surface Albedo calculated as bi-hemispheric reflectance (BHR) for diffuse illumination with a reference spectrum for spectral broadband intervals visible wavelengths (VIS, 400-700 nm), near-infrared wavelengths (NIR, 700-2500 nm), and for the combined shortwave range (SW, 400-2500 nm), as well as directional-hemispherical reflectance (DHR) for the same spectral broadbands, computed for local solar noon. These additional variables are not validated.

Further details about the data, including validation and intercomparison with similar datasets, can be found in the PDF documentation.

Citable as:  Swinnen, E.; Van der Tol, C.; Blessing, S.; Camacho, F.; Giering, R.; Jolivet, D.; Martínez-Sánchez, E.; Ramon, D.; Sánchez-Zapero, J.; Toté, C.; Vanhoof, K. (2023): ESA Vegetation Parameters Climate Change Initiative (Vegetation_Parameters_cci): LAI and fAPAR, Version 1.0. NERC EDS Centre for Environmental Data Analysis, 18 December 2023. doi:10.5285/34e4bfe402c048c783e64eac0f0bca37.
Abbreviation: Not defined
Keywords: ESA, CCI, Vegetation, LAI, fAPAR, climate change, GCOS


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data was produced by the ESA Vegetation Parameters CCI team as part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open Data Portal project.

Data Quality:
See the Vegetation Parameters CCI documentation for information on data quality.
File Format:
The data are provided in netCDF format.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

VEGETATION-1 Deployed on: SPOT-4
VEGETATION-2 Deployed on: SPOT-5
Végétation-P Deployed on: PROBA-V

Computation Element: 1

Title OptiSAIL retrieval
Abstract The retrieval model OptiSAIL is built around the established components 4SAILH (Scattering of Arbitrarily Inclined Leaves, with 4-stream extension and hot-spot), PROSPECT-D (simulation of leaf spectra, version D including senescence; Féret et al., 2017), TARTES (Two-streAm Radiative Transfer in Snow; Libois et al., 2013), with the addition of an empirical soil reflectance model, a semi-empirical soil moisture model (Philpot, 2010), the Ross-Thick-Li-Sparse BRDF model, and a cloud contamination simulation.
Input Description None
Output Description None
Software Reference Blessing, S., Giering, R. (2021). Simultaneous Retrieval of Soil, Leaf, and Canopy Parameters from Sentinel-3 OLCI and SLSTR Multi-spectral Top-of-Canopy Reflectances. Preprints. None
Output Description


No variables found.

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