Satellite image of a city at very high resolution

Beginner’s Guide to Satellite Imagery: 10 Terms You Need to Know

Satellite imagery is an amazing but highly technical field with terms that might be hard to understand, especially for somebody with expertise in a completely different area. That’s why we are explaining the basics of satellite imagery in this article. What’s geolocational accuracy? What is the ideal off nadir angle? How can you see through clouds? Let’s dive right in.

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AI in satellite based forest management

AI Uses 15 cm Satellite Images to Cut Costs and Increase Scalability in Forest Management and Urban Forestry

Forest managers across Europe face an impossible task: monitor millions of hectares with shrinking budgets while meeting increasingly strict EU environmental targets. But with the rise of AI and satellite technology, they now have new solutions at their disposal – smarter, cheaper, and more scalable – to monitor forest health, automate tree inventories, and plan sustainable logging. In this article, we introduce one of these solutions: an AI forestry algorithm developed by Arboair using 15 cm satellite data from EUSI.

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15 cm HD Imagery by Maxar

When your organisation’s business decisions require you to identify small features on the ground, an improved visual experience is key. The identification of objects such as road lines, individual plants, building edges and vehicles often requires the highest level of visual clarity. True 30 cm resolution imagery has long been

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.

30 cm Satellite Imagery as an Alternative to Aerial Data

Remote sensing projects can often begin with the question “Should I use aerial imagery or satellite imagery?”. This question may come up again and again over the course of long term projects where unforeseen circumstances change the ability to collect data, the reliability of the data or the scope of