LSASAF MSG SEVIRI (MDLAI)

Period: 2006 – present

Sensor: MSG SEVIRI

Frequency: 1 days

Resolutions: full SEVIRI spatial resolution (3km at equator)

Extent: MSG disk

Data can be accessed here.

Algorithm description: The algorithm is uses a semi-empirical approach, wherein LAI is retrieved from the Fractional Vegetation Cover (FCV) data, where FCV calculation relies on k0 BRDF parameters in the red, NIR and MIR bands.

Accuracy:Accuracy was estimated by comparison to ground data, GEOV1 product and MODIS v5 products. The LAI was estimated with a RMSE = 0.74, 0.84, 1.02, respectively. MDLAI shows better overall accuracy than MODIS and GEOV1.

Limitations:

• Large fraction of missing data was found over Europe, mainly in northern latitudes during wintertime.
• Over forest sites MSG product tends to underestimate thee LAI values.
• Very coarse spatial resolution.

Reference:

Garcia-Haro, F. J. & Camacho, F. Algorithm Theoretical Basis Document for Vegetation parameters (VEGA) Version 2.0. 1–40 (2016).

Camacho, F., Garcia-Haro, F. J., Sanchex-Zapero, J. & Fuster, B. The EUMETSAT Satellite Application Facility on Land Surface Analysis Validation Report MSG/SEVIRI Vegetation Parameters (VEGA). 1–109 (2018).

Roujean, J.-L. & Lacaze, R. Global mapping of vegetation parameters from POLDER multiangular measurements for studies of surface-atmosphere interactions: A pragmatic method and its validation. J. Geophys. Res. 107, (2002).