Assessing the within field spatial variability of crop growth status by remote sensing for site specific N fertilization management

Sophie Moulin (1) , Martine Guerif (1) , Jean-Marie J.-M. Machet (2) , Frédéric Baret (1)

1 Unité de bioclimatologie
2 UA LRM - Unité de Recherche Agronomie Laon-Reims-Mons

Existing decision support system could be improved in terms of N fertilizer recommendations by taking into account the spatial and temporal variability in the soil and crop, especially at the within field scale. The proposed method consists in using models simulating the radiative transfer within the leaf and within the canopy to estimate gLAI and CHL from hyper-spectral reflectance measurements in the short-wave part of the spectrum. The study was performed on a wheat field, where 6 test-sites corresponded to crop in 6 different nitrogen status. The performance of the inversion was evaluated by comparing LAI estimations with measurements.

Domaines: Sciences du Vivant [q-bio]; Sciences de l'environnement

Sophie Moulin, Martine Guerif, Jean-Marie J.-M. Machet, Frédéric Baret. Assessing the within field spatial variability of crop growth status by remote sensing for site specific N fertilization management. 3. European Conference on Precision Farming, Jun 2001, Montpellier, France. 7 p. ⟨hal-02826612⟩