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Toute l'équipe de Dynafor est heureuse de recevoir votre visite sur son site. Vous trouverez ici de nombreuses informations sur nos activités. N'hésitez pas pour autant à nous contacter directement pour plus d'information et nouer des relations. Dynafor est une unité mixte de recherche (UMR) interdisciplinaire dont l'objectif est de générer des connaissances sur les représentations, le fonctionnement écologique, la gestion et la gouvernance des paysages agriforestiers afin de contribuer à la mise en place de pratiques agroécologiques et sylvoécologiques durables. Dynafor associe des chercheurs de 2 départements chez INRAE (ACT et ECODIV), des enseignants chercheurs de l'ENSAT (Ecole Nationale d'Agronomie de Toulouse) ainsi que des enseignants chercheurs de l’École d'ingénieurs de PURPAN.
Laroche-Pinel, E.; Albughdadi, M.; Duthoit, S.; Chéret, V.; Rousseau, J.; Clenet, H. Understanding Vine Hyperspectral Signature through different Irrigation Plans: A First Step to Monitor Vineyard Water Status. Remote Sens. 2021, 13, 536.
https://doi.org/10.3390/rs13030536
Abstract :The main challenge encountered by Mediterranean winegrowers is water management. Indeed, with climate change, drought events are becoming more intense each year, dragging the yield down. Moreover, the quality of the vineyards is affected and the level of alcohol increases. Remote sensing data are a potential solution to measure water status in vineyards. However, important questions are still open such as which spectral, spatial, and temporal scales are adapted to achieve the latter. This study aims at using hyperspectral measurements to investigate the spectral scale adapted to measure their water status. The final objective is to find out whether it would be possible to monitor the vine water status with the spectral bands available in multispectral satellites such as Sentinel-2. Four Mediterranean vine plots with three grape varieties and different water status management systems are considered for the analysis. Results show the main significant domains related to vine water status (Short Wave Infrared, Near Infrared, and Red-Edge) and the best vegetation indices that combine these domains. These results give some promising perspectives to monitor vine water status.