Recent Stories

Natural disaster (fire) in a satellite image

Satellite Imagery for Emergency Management

The use of satellite imagery for emergency response and management is invaluable. Both optical and SAR images help rescuers save lives when disasters happen, assist with damage assessments, and in many cases contribute to successfully preventing and predicting emergencies. Which events can be prevented? How exactly do first responders use satellite images? When are they better than other methods? We have summarised our 20+ years of experience in this article.

Satellite Imagery as a Valuable Tool for the New Common Agricultural Policy 2023–2027 

On 1 January 2023, the new Common Agricultural Policy for years 2023–2027 entered into force. Hand in hand with the provided subsidies goes the necessity for monitoring and controls, which falls to the individual Member States. Therefore, an efficient, reliable, and cost-effective source of data is needed. Such source is Very High Resolution (VHR) satellite imagery. It allows you to conduct in-depth analysis of plant and soil conditions, map land use at wide scales with incredible detail and accuracy, and ensure that agricultural goals are being met.

SAR image of the Octagon

What is SAR Imagery? Introduction to Synthetic Aperture Radar

SAR imagery enables all-weather monitoring, penetrates dry soil, and offers resolution as high as 25 cm. Thanks to that, it’s invaluable for applications like emergency response, defence and intelligence, or agriculture. How does SAR work? What are its advantages and limitations? And what other data sources can you integrate it with? Read the article to learn more.

Satellite image of the Colosseum in Rome, Italy

18 European Landmarks in Satellite Images

Satellite sensors captured unique architecture, breathtaking nature and centuries of history. Explore the Colloseum, La Sagrada Familia, the Leaning Tower of Pisa, and other landmarks.

Satellite image ruined by sun glint

Sun Glint Can Ruin Satellite Imagery. How Do We Avoid It?

Sun glint occurs when sunlight reflects off water or another reflective surface at the satellite sensor, creating a bright glare in the image. That can make it impossible to extract useful information from satellite imagery. What do we do to minimise its impact?