Google and NASA find 23,000 hidden methane plumes, radar tracks penguins in the polar night, and Europe launches two EO ...

Stage Five is acquiring Loplat. We examine what the deal means for indoor location intelligence, telecom services and consumer privacy.

Google built a system that goes from a plain-English question to a trained planetary model without a data engineer touching it. NISAR opened its radar archive to everyone. A chunk of Greenland the ...

Every technology company now has an AI sentence. Trimble has something more useful: five years of financial restructuring that might allow the sentence to become a business model. The positioning, ...

AI can write software, summarize contracts and generate convincing images. Asking it to navigate a factory full of moving equipment is a rather more expensive test. NavVis believes the missing input ...

For most of us, GPS is one of those technologies that simply works. We use it to navigate, survey land, fly drones, track assets and synchronise infrastructure, rarely thinking about the signals ...

Ask one AI model to summarize a document, and it may work well. Ask the same model to analyse satellite imagery, query a PostGIS database, compare flood boundaries, calculate road closures, and ...

[First published: July 14, 2017 by Vinithra Rajendran. Major 2026 rewrite: list rebuilt from the live catalogues at Mastersportal and FindAMasters.] With most autumn-intake decisions landing around ...

Why commercial maps are falling behind global urbanization, and how multi-modal AI pipelines are the real solution? If you drop a pin at coordinates 29.96, 31.73 on a standard commercial web map in ...

Understanding Iran requires more than headlines. The country sits at the crossroads of the Middle East, Central Asia, and the Caucasus, with a history spanning millennia, a population of more than 90 ...

As 2026 begins, geospatial technologies are forming a new “nervous system” for Earth, combining high-resolution satellites, AI, and digital infrastructure to track environmental change in real time.

Imagine a model trained using ultra-high-resolution drone imagery over a small farming village. At this scale, objects like cars or tractors occupy thousands of pixels. The model learns fine details, ...