Table 2.1
Table showing the different GEOV products
GEOV1/VGT
GEOV1/AVHRR
GEOV2/VGT
Sensors
Vegetation
AVHRR
Vegetation
Period
1999-present
1981–1998
1999-present
Spatial sampling
0.0089°
0.05°
0.0089°
Temporal sampling
10 days
10 days
10 days
Near real time
No
No
Yes
Products used for training
MODIS and CYCLOPES
GEOV1/VGT
MODIS and CYCLOPES
Input reflectance
Composited ToC normalized
reflectance (CYCLOPES L3a)
Daily ToC directionally normalized
Daily ToA i original view configuration
Output products
LAI, FPAR, FCOVER
LAI, FPAR, FCOVER
LAI, FPAR, FCOVER
Gap filling
No
Yes (using climatology)
Yes (using climatology)
Smoothing
Using BRDF model
(30 days window)
Using TSGF and CACAO
(variable window)
Using TSGF and CACAO (variable window)
Uncertainties
Based on training data set
Based on local differences with
daily estimates
Based on local differences with daily estimates
Definition domain
Yes
Yes
Yes
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S. Ganguly et al.