Institut für Strategien und Folgenabschätzung
As a result of climate change, extreme weather events are increasingly affecting the vitality of agricultural crops, which can lead to significant yield losses. Based on regional case studies, concepts for comprehensive monitoring of indicators of plant vitality and agricultural yield are to be developed in Hy- PiPE. The established processes should also be used on a national scale in the course of the project. The goal is the derivation of crop-species-specific plant state variables based on hyperspectral EnMAP satellite data and their assimilation into a process-based agroecosystem model (AEM). With a pixel-specific parameterization of the radiation transfer model PROSAIL-PRO and the AEMs DSSAT-CERES, uncertainties in the model inversion and the yield estimation should be reduced. The ambiguity of model results poses a particular challenge when inverting radiative transfer models. In Hy- PiPE, the entire spectral resolution of EnMAP is integrated into the physical model approach and parameterization is carried out using pixel-based feature classes in order to derive plant state variables as robustly as possible. Emphasis is placed on the use of the applicant's crop-specific classification products and on the spatial compilation of (EnMAP) soil spectra. The integration of the plant state variables derived from satellite data into an AEM makes it possible to map the current crop condition when simulating the entire soil-plant-atmosphere system. In addition, spatial heterogeneities can be better taken into account, which promises greater accuracy in the yield forecast. The high-resolution datasets to be developed in Hy-PiPE can provide valuable and directly usable information for practical agriculture and politics.
Federal Ministry for Economic Affairs and Energy
