Characterizing soil hydraulic properties from Sentinel 2 and STICS crop model

Lammoglia Sabine Karen Djidemi, Chanzy André, Guérif Martine. 2019. Characterizing soil hydraulic properties from Sentinel 2 and STICS crop model. In : 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor 2019). IEEE. New-York : IEEE, 312-316. ISBN 978-1-7281-3612-7 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor 2019), Portici, Italie, 24 Octobre 2019/26 Octobre 2019.

https://doi.org/10.1109/MetroAgriFor.2019.8909266

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Résumé : Soil Water storage Capacity (SWC) is an important quantity in the field of hydrology and agronomy, but SWC characterization using classic method is often impossible due to soil spatial variability. In this study we take profit of the new capacities offered by the Sentinel 2 mission, which allows characterizing relevant features in vegetation dynamic linked to stresses and particularly water stresses. In addition, yield map offers an additional source of information. Both yield and vegetation development are sensitive to several factors as the water supply, nitrogen supply, crop installation quality or pest. To isolate the influence of the water supply, and therefore access parameters involved in the SWC, it is necessary to invert a crop model able to simulate the observation together with the representation of most of influencing factors. After a sensitivity analysis we have developed an inversion procedure of the STICS crop model. The procedure was tested on non-rrigated durum wheat in a Mediterranean context in southeastern France. The approach was evaluated on heterogeneous field. Soil heterogeneities are well captured by the method, but some heterogeneities interpreted as soil heterogeneities might be artefacts induced by other factors. A multiyear analysis is then necessary to get the permanent features that are most likely linked to soil properties.

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