EyeLand
ABSTRACT
Monitoring rural areas is essential to ensure the success of national and European strategies related to consumer health and environmental protection. Remote sensing programs cannot be fully utilized due to the lack of necessary field observations to calibrate and validate the information.
The project aims to create a platform based on “crowd sensing,” which, through a network of voluntary “contributors” (such as producers, agronomists, etc.), will collect the field observations required to harness the potential of remotely sensed images from established multispectral platforms and the latest hyperspectral sensors.
The project addresses the growing need of the EU and local administrations for detailed knowledge of rural areas and will become a model for data acquisition in the rural context. It integrates widespread technologies (GPS sensors, high-quality and high-resolution cameras) and distributed expertise (agronomists, agroforestry operators) to produce detailed territorial data on a large scale. Furthermore, the involvement of various stakeholders in the development and implementation of this system helps raise awareness and sensitivity towards the environment and the territory.
Identification Code: PRIN 2020 – Settore ERC LS9 – Bando 2020 Prot. 2020EMLWTN
Total project cost: 589.366 Euro
Total cost DAFNE: 126.724 Euro
DAFNE Role: Lead Partner
Scientific Supervisor DAFNE: Prof. Maria Nicolina Ripa
Email: nripa@unitus.it
Start date: 8/05/2022
End date: 8/05/2025
LINK
PARTNERSHIP
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