Worldwide 40 cm Global Imagery Tasking Now Available

European Space Imaging and the WorldView Global Alliance are excited to announce we are now accepting orders for new tasking collections for 40 cm DigitalGlobe Core Imagery products worldwide.

Using the existing order process customers can submit new tasking orders for 40 cm resolution Standard and Advanced Ortho Series products across a range of sensors. This development strengthens the already existing 40 cm global imagery offer from ImageLibrary data.

When ordering imagery from the archive customers can order a 40 cm product including imagery collected at any Ground Sample Distance (GSD) from GeoEye-1, WorldView-1, and WorldView-2, but not from IKONOS or QuickBird. The recommendation is not to resample imagery with a GSD greater than 49.9 cm to 40 cm, but it is allowed. ImageFinder has been updated so you can search and filter on GSD to determine which orders would benefit from higher resolution deliveries.

Related Stories

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.

Read More »
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.

Read More »