Abstract
The objective of this study is to describe a completely new 10-day gross primary production (GPP) product
(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface
Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.
The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed
photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A
parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning
under optimal conditions, and a coefficient quantifying the reduction of photosynthesis as a consequence of
water stress. A three years data record (2015–2017) was used in an assessment against site-level eddy covariance
(EC) tower GPP estimates and against other Earth Observation (EO) based GPP products. The site-level comparison
indicated that the MGPP product performed better than the other EO based GPP products with 48% of
the observations being below the optimal accuracy (absolute error < 1.0 g m−2 day−1) and 75% of these data
being below the user requirement threshold (absolute error < 3.0 g m−2 day−1). The largest discrepancies
between the MGPP product and the other GPP products were found for forests whereas small differences were
observed for the other land cover types. The integration of this GPP product with the ensemble of LSA-SAF MSG
(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface
Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.
The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed
photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A
parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning
under optimal conditions, and a coefficient quantifying the reduction of photosynthesis as a consequence of
water stress. A three years data record (2015–2017) was used in an assessment against site-level eddy covariance
(EC) tower GPP estimates and against other Earth Observation (EO) based GPP products. The site-level comparison
indicated that the MGPP product performed better than the other EO based GPP products with 48% of
the observations being below the optimal accuracy (absolute error < 1.0 g m−2 day−1) and 75% of these data
being below the user requirement threshold (absolute error < 3.0 g m−2 day−1). The largest discrepancies
between the MGPP product and the other GPP products were found for forests whereas small differences were
observed for the other land cover types. The integration of this GPP product with the ensemble of LSA-SAF MSG
| Original language | English |
|---|---|
| Article number | 10.1016/j.isprsjprs.2019.11.010 |
| Pages (from-to) | 220-236 |
| Number of pages | 17 |
| Journal | ISPRS Journal of Photogrammetry and Remote Sensing |
| Volume | 159 |
| DOIs | |
| Publication status | Published - 2020 Jan |
Subject classification (UKÄ)
- Physical Geography
Free keywords
- GPP
- SEVIRI/MSG
- 10-day
- LSA SAF
- Water stress
- Light-use efficiency
- MGPP
