Description du projet
Télédétection et IA pour la gestion des forêts
Les inventaires forestiers reposent sur une cartographie précise des essences d’arbres, du volume de bois et de la biomasse. Les méthodologies existantes dépendent des données de terrain, une méthode coûteuse à forte intensité de main-d’œuvre et qui fournit des informations limitées. Des modèles minutieux combinant des données de télédétection et des techniques d’IA sont susceptibles d’apporter des informations précises et en temps réel sur les forêts. Le projet FORECAST, financé par l’UE, propose une solution destinée aux gestionnaires des forêts et aux industries du bois et de la pâte à papier qui exploite des données géospatiales et de télédétection afin d’optimiser l’aide à la décision sur leur approvisionnement en ressources forestières. Les systèmes d’étalonnage exclusifs sont au cœur de cette solution qui exploite des algorithmes d’IA avancés. Le projet permettra de réduire au minimum les parcelles de terrain et de maintenir un niveau élevé d’information.
Objectif
Accurate mapping of tree species and estimation of wood volume and biomass are important assignments of any forest inventory. However, forestry operations currently rely heavily on field data as a basis for estimating its attributes. This labour-intensive approach provides limited information and has become a costly bottleneck in completing operations. Today, remote sensing data plays a key role to characterize forests. Generation of accurate models combining a huge bunch of data requires the use of advance AI techniques that provides real time information about woods and its resources.
fora has pioneered high-resolution and timely forest inventory services which combine state-of-the-art remote sensing technologies and deep learning to produce operational forest inventories that help improving the efficiency of forest management activities. Whether LiDAR, RADAR, and/or optical imagery, airborne or satellite, these sensors able to cover a large area for intensive sampling without the disadvantages inherent to labour-intensive ground sampling schemes done by field crews. However, each remote sensing solution has its own pros and cons, mainly to operate as stand-alone service.
FORECAST is at the forefront of how geospatial and remote-sensing data can be harnessed to optimize safety, efficiency and productivity of forest operations. Key to FORECAST innovation is the fora proprietary calibration systems based on a double application of AI algorithms.
FORECAST is the solution for forest managers and wood and paper companies, reducing the field plots to a minimum, while maintaining a high quality of information about the state of the forest at the (local) scale of individual plantations. Whether an organisation is concerned with timber, access to mills, recreation or conservation, achieving long term sustainability with an optimal return is of paramount importance for the design and implementation of effective sustainable forest management plans and forest-related policie
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- agricultural sciencesagriculture, forestry, and fisheriesforestrysilviculture
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
42004 Soria
Espagne
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.