Monitoring for climate adaptation.

The UrbanGreenEye project is to establish satellite data as a tool for action in municipal administration and planning processes in the determination of climate adaptation-relevant parameters. The aim is to create a uniform information and decision-making basis for municipal planning instruments.
 

Utilisation of satellite-based land surface temperature for integration into monitoring systems in line with the European Green Deal and the UN SDGs.

Land Surface Temperature (LST) is one of the essential climate variables contributing to the understanding of the Earth’s surface temperature, water, and carbon cycles. constellr will provide thermal infrared data with unprecedented temporal (daily from 2025) and spatial resolution (30m) using its own space infrastructure.

"Flooding is the most frequent and damaging natural disaster in Canada. Every year, floods cause more than 1 billion dollar in damage. These costs are expected to triple by 2030 due to climate change. The development of knowledge and the preparation regarding these risks among  governments, Insurance compnies, and the general public are among the biggest challenges related to this issue.

Satellite based subsidence monitoring, powered by AI.

"KorrAI, in collaboration with the Canadian Space Agency (CSA), is actively working to unlock the potential of vast Earth Observation (EO) data stored in archives worldwide. This ongoing project is positioning Canada at the forefront of the next technology and science revolution.

This project aims to lower the cost and improve the accuracy of satellite-derived bathymetry, across the full range of shallow waters found on Earth. The primary impact will be to improve safety of navigation, reducing the risk of accidents from grounding and its resulting marine pollution, as well as lower fuel costs and CO2 emissions from marine transportation.

At SkyWatch, we believe Earth observation should be simple for everyone to use. Our  existing products aggregate the world's EO data and remove the undifferentiated heavy lifting  that many organizations must endure. 

MUSLS: Persistent Multi-Sensor Land Surveillance and Change Monitoring

Evaluating Earth Observation Data and Deep Learning Methods to Support Landscape Disturbance Mapping.

At a time of rising climate change impacts, there is a vital and growing need to help authorities and ordinary citizens prepare for, respond to, and recover from floods and other disasters.  

Improving Space-based Radar Reflectometry for Better Ocean State and Target Monitoring Using Advanced Data Processing.