Remote sensing of the changing Earth – sub group
The aim of the research team is the development of measurement technologies and applying them in the remote sensing of the phenomena related to global change.
This research aims at developing active 3-dimensional hyperspectral imaging combined with multisensor positioning.
The RAGE project will develop automatic and reliable mineral detection based on AI machine learning based on active hyperspectral 3D sensing, indoor positioning, and real-time AI.
FinSig will use the Finnish National GNSS network ‘FinnRef’ in first-hand monitoring of the status of GNSS signal quality over Finland. A service architecture design will be developed and demonstrated, including a list of hardware, software, inter-modular communication, and system integration needs.
Making Finland a global leader of sustainable mineral industry requires continuous improvement of expertise in mining indstry. Mineral extraction industry demands for fast, cost efficient and safe remote sensing methods. The Kaivos Project works on efficient and safe identification of minerals.
The laser spectroscopy project utilizes a supercontinuum laser source.
The hyperspectral lidar (HSL) technology developed at the FGI produces non-contact spectral information in 3D.
The aim of this project is the development of active hyperspectral LiDAR prototype.
This project brings up novel spectroscopic and radiometric laser scanning methods to be applied in the change detection of the Boreal environment.
A standard lidar survey produces a point cloud consisting of the topographic information (e.g., position in x,y,z) and the intensity (I).