Contact person in research groups
Ongoing research groups
Contact person in projects
Autonomous Driving on Snow-Covered Terrain
Mapping of forest health, species and forest fire risks using Novel ICT Data and Approaches
Lidar-based energy efficient ICT solutions (ICT_Lidar)
LAS3R Project – Low orbit altimetry, Albedo, and Antarctic Snow and Sea-ice Surface Roughness.
Road distress mapping
Quality4Trees Project – Feasibility of Inside-Canopy UAV Laser Scanning for Automated Tree Quality Surveying
Scan4estEcosystem project – Measuring Spatiotemporal Changes in Forest Ecosystem
Unite — Forest-Human-Machine Interplay - Building Resilience, Redefining Value Networks and Enabling Meaningful Experiences.
Unite is a competence center for high-quality research and societal impact. We are one of the Academy of Finland Finnish flagships.
Application of Remote Sensing for Estimation of Agricultural Crop Production
Due to increasing consumption of food in the world and due to increasing cooperation of agriculture policy between European countries the importance of annual crop production estimation has been increased.
Centre of Excellence in Laser Scanning Research 2014-2019
In The Centre of Excellence in Laser Scanning Research (Academy of Finland CoE 2014-2019), more than 30 Dr.Sc./PhD's from Finnish Geodetic Institute,
Development of mapping and modeling methods as part of flood risk management business
The making of flood risk assessment and management plans for possible flood scale mapping and modeling and the modeling of changes in river habitats is a hundreds of millions worth business in Europe.
Doctoral programme of built environment
RYM-TO is a Finnish nationwide multidisciplinary doctoral programme that covers extensively the field of the built environment.
Economy and technology of a global peer produced 3D geographical information system in built environment
The objective of the research project is to study how an alternative peer produced (user-generated, community-created) economy could be built to complement the current ones.
In the study, different algorithms and methods are developed for growth estimation.
Improved absolute-gravity measurements in the Antarctic (GRAVLASER)
The aim of this research project is to deepen the knowledge of cryosphere-lithosphere interaction in Antarctica.
Methods and algorithms of laser scanning
The research of laser scanning was initiated in Finland in 1997.
Mobile Forest Tomography - Interaction of Lidar/Radar Beams with Forests Using Mini-UAV and Mobile Forest Tomography
The objective of the project is to improve measurement techniques in forest tomography.
Natural Resources Risk Management in GeoIT solutions
LuHaGeoIT project aims to contribute to a more open flow of information on climate change research.
Navigation and Remote Sensing Technologies and Possibilities related to Future Cars and their Autonomous Driving Sensor Technologies (NavDrive)
In this project we develop and innovate new Finnish knowhow related to future cars and autonomous driving technologies.
Physical and virtual innovation platform of autonomous Last mile urban transportation (SOHJOA)
Project Sohjoa addresses the challenges of new economic growth industries as well as sustainable intelligent transportation development.
Quality of the Finnish Land Parcel Identification Map
Finnish Geodetic Institute (FGI) functioned as an expert and quality control consultant for the Ministry of Agriculture and Forestry.
Regional Innovation Ecosystems (RYM-RIE)
The core contributions of the project are to develop and demonstrate innovative digital solutions to the regional information models, including automatic updating of the models.
Science and Technology Towards Precision Forestry
The main objective of the project is to develop new measurement technology for precision forestry.
The Advanced Techniques for Forest Biomass and Biomass Change Mapping Using Novel Combination of Active Remote Sensing Sensors (Advanced_SAR)
The Advanced Techniques for Forest Biomass and Biomass Change Mapping Using Novel Combination of Active Remote Sensing Sensors (Advanced_SAR) project
Towards improved characterization of map objects
The main objective of the project is to develop a near-automatic characterization/interpretation method for natural objects by using a complete model
Unmanned Airborne Vehicle- based 4D Remote Sensing for Mapping Rain Forest Biodiversity and Its Change in Brazil (UAV_4D_Bio)
The objective in this investigation is to develop biodiversity change mapping technologies.
Web Sites for Remote Sensing
A portal for remote sensing companies.