EU JRC IES GVM FAPAR WestAfrica

FAPAR WestAfrica from EU JRC IES GVM: Global Vegetation Monitoring Unit.

Documents

overviewan outline showing sub-datasets of this dataset

Datasets and variables

EU JRC IES GVM FAPAR WestAfrica monthly[nb_temporal_fapar fapar dev_temporal_fapar day_fapar ]
EU JRC IES GVM FAPAR WestAfrica tenday[nb_temporal_fapar fapar version dev_temporal_fapar day_fapar ]

Independent Variables (Grids)

NVZ grid: /NVZ (unitless) ordered (1.0) to (4.0) by 1.0 N= 4 pts :grid
Longitude (longitude) grid: /X (degree_east) ordered (12.99008W) to (7.990085E) by 0.01983003 N= 1059 pts :grid
Latitude (latitude) grid: /Y (degree_north) ordered (16.99026N) to (4.009745N) by 0.01949026 N= 667 pts :grid

Other Info

Mission
Seastar SeaWiFS
Processing_Center
Joint Research Centre - IMW - GVM / IES
Software_Name
ReMap Aggregate - JRC - GVM / IES
Software_Version
ReMap Aggregate - Version 1.0

References

Gobron, N., B. Pinty, F. Mélin, M. Taberner and M. M. Verstraete (2002) Sea Wide Field-of-View Sensor (SeaWiFS) - An Optimized FAPAR Algorithm - Theoretical Basis Document, Institute for Environment and Sustainability, EUR Report No. 20148 EN, 20 pp.

N. Gobron, B. Pinty, O. Aussedat, J. Chen, W. B. Cohen, R. Fensholt, V. Gond, K. F. Hummerich, T. Lavergne, F. Mélin, J. L. Privette, I. Sandholt, M. Taberner, D. P. Turner, M. M. Verstraete & J.-L. Widlowski (2006) ‘Evaluation of FAPAR products for different canopy radiation transfer regimes: Methodology and results using JRC products derived from SeaWiFS against ground-based estimations ’, Journal of Geophysical Research, 111, D13110, doi: 10.1029/2005JD006511.

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

EU JRC IES GVM FAPAR WestAfrica[ ]