Estimation of biomass and CO2 fluxes of sunflower by assimilating HSTR data in a simple crop model.
Authors contribution : Gaétan Pique, Rémy Fieuzal, Eric Ceschia (2020)
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS).
DOI : http://doi.org/10.1109/M2GARSS47143.2020.9105147
Abstract:
Although croplands are affected by climate change and contribute to it, their carbon budgets remain little known because of the lack of tools allowing estimating it at a fine resolution. In this study a modeling approach is proposed, assimilating high spatial and temporal resolution (HSTR) remote sensing optical products in a semi-physical crop model called SAFY-CO2 to estimate crop production and the components of the carbon budget. The model correctly reproduces the green area index (GAI )(R2=0.98, rRMSE =8%), the biomass (R2=0.95, rRMSE =16%) and the components of the carbon budget (GPP: R2=0.90; RMSE =1.61 gC.m−2.d−1; Reco: R2=0.87; RMSE =0.81 gC.m−2.d−1 gC.m−2.d−1; NEE: R2=0.86; RMSE =0.85 gC.m−2.d−1). This approach requires a few input parameters and no information about management practices which makes it suitable for large scale application and monitoring, reporting and verification (MRV) approaches.
