Mobile Mapping and Autonomous Driving
The research group of Mobile Mapping and Autonomous Driving is working actively in the areas of mobile mapping technology (hardware/software), applications, and algorithms.
Autonomous Driving on Snow-Covered Terrain
Lidar-based energy efficient ICT solutions (ICT_Lidar)
The aim of this research project is to deepen the knowledge of cryosphere-lithosphere interaction in Antarctica.
Road distress mapping
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.
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,
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.
RYM-TO is a Finnish nationwide multidisciplinary doctoral programme that covers extensively the field of the 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.
The research of laser scanning was initiated in Finland in 1997.
The objective of the project is to improve measurement techniques in forest tomography.
LuHaGeoIT project aims to contribute to a more open flow of information on climate change research.
In this project we develop and innovate new Finnish knowhow related to future cars and autonomous driving technologies.
Project Sohjoa addresses the challenges of new economic growth industries as well as sustainable intelligent transportation development.
Finnish Geodetic Institute (FGI) functioned as an expert and quality control consultant for the Ministry of Agriculture and Forestry.
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.
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) project
The main objective of the project is to develop a near-automatic characterization/interpretation method for natural objects by using a complete model
The objective in this investigation is to develop biodiversity change mapping technologies.
A portal for remote sensing companies.