An automated satellite image interpretation application based on artificial intelligence is awarded federal R & D funding
Effigis Geo-Solutions (Effigis) announces a CANARIE federal funding for a research and development project led by principal investigator Yacine Bouroubi, who is a collaborator at Effigis and professor in the Applied Geomatics Department at Université de Sherbrooke.
Multispectral satellite imagery enables high-precision predictive mapping for large territories around the world.
Series of satellite images covering the floods that occurred in Quebec in the spring of 2017.
Effigis’s Earth Observation Team helps develop a solution that rationally uses agricultural inputs.
The upsurge in the use of sensors installed in pilot-less devices, known as drones, to acquire aerial images has given new life to photogrammetric applications. It was not so long ago that these applications were reserved for specialists who had mastered the mathematical principles of camera modelling, image block aerotriangulation and geometric correction.
Using two SENTINEL-1A radar images acquired on March 27 and April 20, 2016, and differential interferometry (DInSAR), the Effigis Earth Observation team measured the ground displacement that took place following this earthquake.
High-resolution satellite images acquired in urgent mode can be used to plan and manage interventions during a natural disaster (forest fire, earthquake, flood).
Using Landsat 7 and 8 satellite images, we see the extent of the natural disaster that has been raging since May 1, 2016 at Fort McMurray (Alberta).
Landsat-7 and 8 satellite images allow to see the extent of this natural disaster.
Precision Agriculture: Moving to “Customized” Nitrogen Fertilization in Order to Maximize Economic and Environmental Gains
By wanting to avoid performance loss due to nitrogen deficiencies, current practices favour overfertilization, which leads to unnecessary costs as well as serious environmental problems.