Descripción del proyecto
Teledetección e inteligencia artificial para la gestión forestal
Los inventarios forestales confían en un mapeo preciso de las especies de árboles, el volumen de madera y la evaluación de la biomasa. Sin embargo, las metodologías existentes dependen de datos de campo, lo que constituye un método caro y laborioso que proporciona una información limitada. Los modelos precisos que combinan datos de teledetección con el uso de técnicas de inteligencia artificial (IA) brindan información precisa y en tiempo real sobre los bosques. El proyecto forecast, financiado con fondos europeos, propone una tecnología para los administradores forestales y las industrias de la madera, el papel y la pasta de papel basada en datos geoespaciales y de teledetección a fin de optimizar la toma de decisiones sobre su suministro de recursos forestales. Los sistemas de calibración patentados constituyen una parte fundamental de la tecnología, que se basa en algoritmos avanzados de IA. El proyecto ayudará a reducir las parcelas de campo al mínimo y a mantener unos niveles elevados de información.
Objetivo
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
Ámbito científico
- 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
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
42004 Soria
España
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.