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.
Imaging using light-weight, Unmanned Airborne Vehicles (UAVs) is one of the most rapidly developing fields in remote sensing technology.
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.
