ANR GEORESET (2023 – 2027): This research proposal aims to develop a versatile foundation model for geo-spatial data that can be used for any task and with any data modality. By using location on the Earth’s surface as the common link between different modalities, the model will be able to incorporate a variety of data sources, including remote sensing imagery, textual descriptions of places, and features in maps.
H2020 Eco2Adapt (2022 – 2027): Forests can be destroyed through climatic events such as storms or drought, or attacked by pests and pathogens, leaving a devastated landscape and despairing local populations. The EU-funded eco2adapt project will develop the ecosystem-based adaptation framework derived from nature-based solutions and work in Living Labs located in climate hotspots in Europe and China. It will use an advanced Decision Theatre approach to investigate how to integrate disturbance and vulnerability into forest management by developing changemaking scenarios. Furthermore, it will create innovative technical, economic and governance mechanisms at a regional level to enable users to add data on climate-resilient forests, and provide cutting-edge tools to monitor vulnerability and resilience.
OFB IMPACT (2024 – 2027): The IMPACT project focuses on the epidemiological surveillance of three regulated diseases of perennial plants transmitted by vectors, Huanglongbing (HLB) on citrus fruits, pox on prunus and flavescence ore (FD) on vines. The project has the goal to exploit remote sensing data and modeling techniques to ameliorate the risk mapping of the three targeted vegetal diseases. The conducted analysis will provide a better understanding of the influence of vector communities on FD variants circulating in the underlying landscapes and distinguish in the vineyard cases of infection with epidemic versus low-epidemic variants, the latter not requiring treatment.
ANR BEYOND (2021 – 2026): The BEYOND project is part of France’s Priority Research Program “Growing and Protecting Crops Differently”, an initiative to intensely mobilize the principles of agroecology and prophylaxis in order to pave the way for the emergence of an agriculture that is free of synthetic pesticides by 2030-2040. This project focuses on enhancing epidemiological surveillance strategies by developing new indicators of risk of plant disease and by proposing new types of plans for achieving surveillance. One of the main goals is to rationally integrate the available plethora of potential indicators from smart sensors, social networks, digital maps and remotely-sensed imagery into epidemiological models and then make them accessible for epidemiologists.
