DESCRIPTION
Advanced AI, data science, machine learning , focus on remote sensing, data analysis, and modeling. It utilizes high-performance computing to enhance forest management, biodiversity monitoring and biomas estimation
SERVICE AREA
IN SILICO
ACCESS TYPE
Remote (e.g. real-time data acquisition in a cloud)Virtual (e.g. Information - Databases - Digital twins)
ACCESS UNIT
Per sample
ESFRI CONTACT EMAIL
tnl@ign.ku.dk
EXTERNAL ORGANISATIONS INVOLVED
University of Copenhagen (DIKU)
IN EDU AREA
Yes
IN EDU CONTRIBUTION
The service supports education through research projects and courses that integrate AI and data science into forest management and sustainability studies.
KEYWORDS
AI, data science, machine learning, robots
OPEN ACCESS POLICY
Excellence-driven access (funding through subsidised projects)Wide virtual access (E-services - fees may apply or not)
OTHER INFORMATION
The Datalogisk Institut's research in AI and data science can be applied to forest research by enhancing data-driven decision-making and improving the accuracy of forest monitoring and management practices.
SCIENTIFIC FIELDS
Data science
SERVICE CONTACT EMAIL
pernille.bjorn@di.ku.dk
SERVICE TYPES
Databases & Info Systems (portal)Computation facilitiesData analysis softwaresModels & simulators
TECHNOLOGICAL FIELDS
Data informationData managementData analysisModelling & simulationAutomation and Systems technologyRobotics
ACCESS CHARTER
No