Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe
Carbon Cycle; Crop Types; Data-driven Modelling; Eddy covariance; MODIS; Sentinel-2; Global and Planetary Change; Earth-Surface Processes; Computers in Earth Sciences; Management, Monitoring, Policy and Law
Abstract :
[en] In Europe, the heterogeneous features of crop systems with majority of small to medium sized agricultural holdings, and diversity of crop rotations, require high-resolution information to estimate cropland Net Ecosystem Exchange (NEE) and its two main components of Gross Ecosystem Exchange (GEE) and the Ecosystem Respiration (RECO). In this context, this paper presents an assimilation of high-resolution Sentinel-2 indices with eddy covariance measurements at selected European cropland flux sites in a new modified version of Vegetation Photosynthesis Respiration Model (VPRM). VRPM is a data-driven model simulating CO2 fluxes previously applied using satellite-derived vegetation indices from the Moderate Resolution Imaging Spectroradiometer (MODIS). This study proposes a modification of the VPRM by including an explicit soil moisture stress function to the GEE and changing the equation of RECO. It also compares the model results driven by S2 indices instead of MODIS. The parameters of the VPRM model are calibrated using eddy-covariance data. All possible parameters optimization scenarios include the use of the initial version vs. the proposed modified VPRM, S2, or MODIS vegetation indices, and finally the choice of calibrating a single set of parameters against observations from all crop types, a set of parameters per crop type, or one set of parameters per site. Then, we focus the analysis on the improvement of the model with distinct parameters for different crop types vs. parameters optimized without distinction of crop types. Our main findings are: (1) the superiority of S2 vegetation indices over MODIS for cropland CO2 fluxes simulations, leading to a root mean squared error (RMSE) for NEE of less than 3.5 μmolm-2s-1 with S2 compared to 5 μmolm-2s-1 with MODIS (2) better performances of the modified VPRM version leading to a significant improvement of RECO, and (3) better performances when the parameters are optimized per crop-type instead of for all crop types lumped together, with lower RMSE and Akaike information criterion (AIC), despite a larger number of parameters. Associated with the availability of crop-type land cover maps, the use of S2 data and crop-type modified VPRM parameterization presented in this study, provide a step forward for upscaling cropland carbon fluxes at European scale.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Bazzi, Hassan; Université Paris-Saclay, AgroParisTech, INRAE, UMR 518, MIA Paris-Saclay, Palaiseau, France ; Atos France, Technical Services, Bezons, France
Ciais, Philippe; Laboratoire des Sciences du Climat et de l'Environnement, UMR 1572 CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette CEDEX, France
Abbessi, Ezzeddine ; Université Paris-Saclay, AgroParisTech, INRAE, UMR 518, MIA Paris-Saclay, Palaiseau, France ; Laboratoire des Sciences du Climat et de l'Environnement, UMR 1572 CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette CEDEX, France
Makowski, David ; Université Paris-Saclay, AgroParisTech, INRAE, UMR 518, MIA Paris-Saclay, Palaiseau, France
Santaren, Diego; Laboratoire des Sciences du Climat et de l'Environnement, UMR 1572 CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette CEDEX, France
Ceschia, Eric; CESBIO, Université de Toulouse, CNES/CNRS/INRAE/IRD/UPS, Toulouse, France
Brut, Aurore; CESBIO, Université de Toulouse, CNES/CNRS/INRAE/IRD/UPS, Toulouse, France
Tallec, Tiphaine ; CESBIO, Université de Toulouse, CNES/CNRS/INRAE/IRD/UPS, Toulouse, France
Buchmann, Nina ; ETH Zurich, Department of Environmental Systems Science, Institute of Agricultural Sciences, Zurich, Switzerland
Maier, Regine; ETH Zurich, Department of Environmental Systems Science, Institute of Agricultural Sciences, Zurich, Switzerland
Acosta, Manuel; Global Change Research Institute, Czech Academy of Sciences, Czech Republic
Loubet, Benjamin; UMR ECOSYS, INRAE-AgroParisTech, Université Paris-Saclay, Palaiseau, France
Buysse, Pauline ; Université de Liège - ULiège > Ingénierie des biosystèmes (Biose) > Echanges Ecosystèmes - Atmosphère ; UMR ECOSYS, INRAE-AgroParisTech, Université Paris-Saclay, Palaiseau, France
Léonard, Joël; BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules, Verne, 02000 Barenton-Bugny, France
Bornet, Frédéric; BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules, Verne, 02000 Barenton-Bugny, France
Fayad, Ibrahim; Laboratoire des Sciences du Climat et de l'Environnement, UMR 1572 CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette CEDEX, France
Lian, Jinghui ; Laboratoire des Sciences du Climat et de l'Environnement, UMR 1572 CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette CEDEX, France
Baghdadi, Nicolas; INRAE, UMR TETIS, University of Montpellier, AgroParisTech, Montpellier, France
Segura Barrero, Ricard; Sostenipra Research Group (SGR 01412), Institute of Environmental Sciences and Technology (MDM-2015-0552), Z Building, Universitat Autònoma de Barcelona (UAB), Campus UAB, Bellaterra, Barcelona, Spain
Brümmer, Christian ; Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany
Schmidt, Marius; Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH, Germany
Heinesch, Bernard ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges (BIODYNE)
Mauder, Matthias; TU Dresden, Institut für Hydrologie und Meteorologie, Professur für Meteorologie, Dresden, Germany
Gruenwald, Thomas; TU Dresden, Institut für Hydrologie und Meteorologie, Professur für Meteorologie, Dresden, Germany
Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe
Publication date :
March 2024
Journal title :
International Journal of Applied Earth Observation and Geoinformation
The authors would like to thank the CLAND convergence institute and the French National Research Agency (ANR) for supporting this work. Authors would like also to thank the Integrated Carbon Observation System (ICOS) and FLUXNET for providing eddy covariance data. The Czech site would like to thank the Ministry of Education, Youth and Sports of Czech Republic within the CzeCOS program for the funding support, grant number LM2023048.This work has benefited from the French State aid managed by the National Research Agency (ANR) under the Program of \u201CInvestments of the Future\u201D with the reference ANR-16-CONV-0003. The work received support of ATOS France and ANR, via the contract S40072 under the \u201CPlan France Relance\u201D.
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