Evaluation of the LSA-SAF gross primary production product derived from SEVIRI/MSG data (MGPP)

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 day) 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 https://doi.org/10.1016/j.isprsjprs. 2019.11.010 Received 20 February 2019; Received in revised form 12 September 2019; Accepted 12 November 2019 Abbreviations: AET, actual evapotranspiration; APAR, absorbed photosynthetically active radiation; AVHRR, advanced very high resolution radiometer; BPLUT, biome property look up table; BRDF, bidirectional reflectance distribution function; CGLS, copernicus global land service; CRO, croplands; Cws, water stress coefficient; DAAC, distributed active archive center; DBF, deciduous broadleaf forest; DIDSSF, daily integrated downward surface shortwave flux; DMET, daily MSG evapotranspiration; DMETREF, daily MSG reference evapotranspiration; DSSF, downward surface shortwave flux; ε, light use efficiency; εmax, maximum light use efficiency; EBF, evergreen broadleaf forest; EC, eddy covariance; ECV, essential climate variables; ENF, evergreen needleaf; EO, earth observation; EPS, EUMETSAT polar system; ET, evapotranspiration; ET0, reference evapotranspiration; EUMETSAT, European organization for the exploitation of meteorological satellites; fAPAR, fraction of absorbed photosynthetically active radiation; GDMP, gross dry matter productivity; GLC2000, global land cover 2000; GPP, gross primary production; GRS, grasslands; LAI, leaf area index; LP, Land processes; LSA SAF, land surface analysis satellite application facility; MAD, mean absolute difference; MAE, mean absolute error; MBD, mean bias difference; MBE, mean bias error; MDFAPAR, MSG daily fraction of absorbed photosynthetic active radiation; MDGPP, MSG daily gross primary production; MGPP, MSG 10-day gross primary production; MODIS, moderate resolution imaging spectroradiometer; MSG, meteosat second generation; MXF, mixed forests; NASA, national aeronautics and space administration; RMAD, relative mean absolute difference; RMD, root mean difference; RMSD, root mean square difference; RMSE, root mean square error; RNIR, near infrared reflectance; RR, red reflectance; SAF, satellite application facility; SAV, savanna; SEVIRI, spinning enhanced visible and infrared imager; SMAP, soil moisture active passive; SHR, shrublands; PAR, photosynthetically active radiation; PET, potential evapotranspiration; PROBA-V, project for on-board autonomy ⁎ Corresponding author. E-mail address: beatriz.martinez@uv.es (B. Martínez). ISPRS Journal of Photogrammetry and Remote Sensing 159 (2020) 220–236 0924-2716/ © 2019 The Authors. Published by Elsevier B.V. on behalf of International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/). T products is conducive to meet user needs for a better understanding of ecosystem processes and for improved understanding of anthropogenic impact on ecosystem services.