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Vegetation Cover Fraction (SPOT/PROBA-V)

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This data set is only available for a restricted user group, please contact us if you want to access these data.

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Data access via OPeNDAP

Data access via file system:

/data/icdc/land/vegetationcoverfraction_spot_proba_v

Description

The Fraction of green Vegetation Cover (FCOVER) corresponds to the fraction of ground covered by green vegetation. Practically, it quantifies the spatial extent of the vegetation. It is independent from the illumination direction and it is sensitive to the vegetation amount. FCOVER is derived from the Leaf Area Index (LAI) and a number of structural parameters of the canopy. Used are top-of-canopy directionally normalized reflectances from SPOT-4 and -5 VEGETATION sensor and - later - the PROBA-V in the red, near-infrared, and shortwave infrared bands. These are used in a neural network approach which is trained with the best estimate of FCOVER from MODIS and CYCLOPES.

For more information we refer to the ATBDs mentioned in the references section.

This is version 2 of this data set provided by COPERNICUS Global Land Service.

Data were downloaded in netCDF file format with 1/112° grid cell resolution and global coverage. This data are available from ICDC on request. For the main data set offered here, data were block-averaged onto a 0.5° x 0.5° plate carree grid. Data are available for the latitude range 60°S to 80°N. Note, however, that limited solar illumination reduces the maximum northern latitude to smaller values during winter.

Last update of data set at ICDC: August 30, 2019.

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Parameters

Name Unit Comment
Percent fraction of green vegetation cover 0 ... 100 % resolution is 0.25%
Root-Mean squared error (RMSE) 0 ... 100 % resolution is 0.25%
Number of land pixels 0 ... 3136 per 0.5° grid cell (see information in netCDF file)
Number of valid data pixels 0 ... 3136 per 0.5° grid cell (see information in netCDF file)
Mean number of usable satellite data 0 ... 120 per 0.5° grid cell
Cumulative number of usable satellite data 0 ... 188160 per 0.5° grid cell
Surface type flag 1, 10, 20, 40 Dominant (major) surface type
    1: regular land, 10: evergreen broadleaf forest
    20: bare soil / wetland / inland waters, 40: not defined
Retrieval flag 0 ... 24 Dominant (major) retrieval type
    0: Invalid LAI value or no retrieval, 1: regular retrieval
    2: As 1 but for high geographic latitude / solar zenith angle
    11: As 1 but filled with climatology
    12: As 11 but for high geographic latitude / solar zenith angle
    14: Invalid LAI value, replaced by climatology
    21: As 11 but filled with temporal interpolation, 22: respectively for 12, 24: respectively for 14

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Coverage, spatial and temporal resolution

Period and temporal resolution:

  • 11-1998 to 05-2019
  • 10-daily sampling, 60-day effective resolution

Spatial coverage and resolution:

  • Global
  • Spatial resolution: 0.5° x 0.5° (Plate Carree)
  • Geographic latitude: 89.75°S to 89.75°N; data only between 60°S and 80°N
  • Geographic longitude: 179.75°W to 179.75°E
  • Dimension: 360 rows x 720 columns
  • Altitude: follows topography

Format:

  • NetCDF

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Data quality

The original data set at 1/112° grid resolution contains a bit-wise to read quality flag. The content of the flag can be read under http://land.copernicus.eu/global/products/fcover under "Technical".

The 0.5° x 0.5° data set offered here contains two basic separate flags. One flag refers to the two surface types where FCOVER retrieval is either impossible or prone to larger uncertainties. The other flag refers to the type of retrieval, i.e. whether data are interpolated or whether special corrections were applied to account for high latitude / high solar zenith angle illumination conditions. In addition, only the valid 1/112° x 1/112° grid points are used to compute the average value of the FCOVER and its uncertainty. As can be seen in the parameters section we give number of land pixels, number of valid pixels, and number of usable satellite data to convey information about reliability. We recommend to read the text given in the netCDF files.

FCOVER products have been validated and are reported to have a good quality, showing a spatial consistent global distribution of retrievals. Temporal profiles are very smooth and are highly consistent from year to year. Comparison with ground data shows that target accuracy is achieved, and no bias was detected. This applies to FCOVER based on SPOT-4 and -5 as well as on PROBA-V. More information about the validation efforts can be found in the validation reports listed under references.

We would like to mention that for continuing the SPOT-4 and -5 time series with PROBA-V some pre-processing needs to be done. Information about this given in this report.

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Contact

Frederic Baret
Institut National de la Recherche Agronomique (INRA), France
email: frederic.baret (at) avignon.inra.fr

Bruno Smets
VITO, Belgium
email: Bruno.Smets (at) vito.be

Stefan Kern
ICDC / CEN / University of Hamburg
email: stefan.kern (at) uni-hamburg.de

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References

  • Algorithm Theoretical Basis Document: ATBD_v2_issueI1.41
  • Product User Guide for Version 2: PUM_v2_issue1.33
  • Validationsreports for SPOT: QAR_v2_issueI2.01 and PROBA-V: QAR_v2_issueI1.40
  • Scientific Quality Evaluation for version 1 & 2: SQE2018_v1v2_issueI1.00
  • Scientific Quality Evaluation - Cross-cutting consistency: SQE2018_CCR_issueI1.00
  • Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makhmara, H., Pacholczyk, P., and Smets, B. (2013), GEOV1: LAI, FAPAR Essential Climate Variables and FCover global times series capitalizing over existing products. Part1: Principles of development and production. Remote Sensing of Environment, 137, 299–309.
  • Camacho, F., Cernicharo, J., Lacaze, R., Baret, F., and Weiss, M. (2013), GEOV1: LAI, FAPAR Essential Climate Variables and FCover global time series capitalizing over existing products. Part 2: Validation and inter-comparison with reference products. Remote Sensing of Environment, 137, 310-329.
  • Verger, A.,  Baret, F., and Weiss, M. (2014), Near real-time vegetation monitoring at global scale. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 3473-3481.
  • Tote, C., Swinnen, E., Sterckx, S., and 10 others (2018), Evaluation of PROBA-V Collection 1: Refined Radiometry, Geometry, and Cloud Screening. Remote Sensing, 10(9), 1375, http://doi.org/10.3390/rs10091375

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Data citation

Upon using this data please cite as follows:

Baret, F., et al. (2013). GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production. Remote Sensing of Environment, 137: 299-309

Camacho, F., et al. (2013). GEOV1: LAI, FAPAR Essential Climate Variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with reference products. Remote Sensing of Environment 137: 310-329

The product was generated by the land service of Copernicus, the Earth Observation programme of the European Commission. The research leading to the current version of the product has received funding from various European Commission Research and Technical Development programmes. The product is based on SPOT/VGT 1km data ((c) CNES / PROBA-V 1km data ((c) ESA and distributed by VITO), last access date: 05/08/2019, provided  on 0.5 degree x 0.5 degree plate carree grid in NetCDF file format by the Integrated Climate Data Center (ICDC, icdc.cen.uni-hamburg.de) University of Hamburg, Hamburg, Germany.

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