The Spectrophotogrammetry group investigates the utilisation of the 3D geometry, high-resolution photogrammetric images and object reflectance signatures in various applications.
Preparing cities for sustainable Urban Air Mobility
Identification of unwanted species in seed multiplication and in pure oat cultivation
Unmanned aerial systems based solutions for real-time management of wildfires
Learning techniques for autonomous drone based hyperspectral analysis of forest vegetation
Dairy and beef industries in Finland: Progressing pathways to carbon-neutrality by 2035
RehuDrooni-project studies drone based remote sensing methods and their prospects for enhancing sustainable development of cattle feed production
Network for novel remote sensing technologies in forest disturbance ecology
Smart hyperspectral imaging solutions for new era in Earth and planetary observations
The project will create methods and practices to improve the climate resilience of our forests from a forest health perspective.
ASPECT Project - developing an autonomous UAV-based tree health analyzer
The project helps to adapt to the climate change induced increase in bark beetle damage.
CyberGrass -project introduces a new method for assessing the quality and quantity of grass fodder based on unmanned aerial vehicles (UAVs) and satellites.
The knowledge of the orientation of the images taken from airborne or space platforms is needed before the images can be exploited.
The focus of this project is to develop and enable an intelligent system that will apply precision management to whole farm grassland and grazing systems.
The goal of digital photogrammetry is to establish the geometric relationship between an object and a digital image and derive information about the object strictly from the image.
Digitalization - opportunities for practical applications
We are participating the European metrology research program (EMRP) project ”European Metrology for Earth Observation and
Digital imaging is rapidly replacing film imaging in phtogrammetric data capture.
FUAVE project – Finnish UAV Ecosystem
Market oriented, carbon sequestering and biodiversity enhanced crop rotations
Imaging using light-weight, Unmanned Airborne Vehicles (UAVs) is one of the most rapidly developing fields in remote sensing technology.
Remote sensing of Earth from space using the global observation system is the major means of obtaining the trustworthy data needed for climate change
In the modern society, the need for up-to-date three dimensional (3D) information is growing in many application fields.
We are coordinating a working group that develops novel national guidelines for airborne imaging.
OPAL-Life started in 2015 and it aims at mitigating greenhouse gas emissions from agriculture following the principle of sustainable intensification.
Solving orientations, i. e. parameters of the mathematical model of imaging, is an inevitable task when utilising aerial and satellite images
This is a Postdoctoral Researchers Project funded by the Academy of Finland.
The direct georeferencing is based on integration of GPS and IMU.
Remote sensing using small unmanned airborne vehicle (sUAV) is a rapidly emerging technology.
The objective in this investigation is to develop biodiversity change mapping technologies.