June 2026

SatSummit is coming to St. Louis and Lisbon

Two new editions of Satsummit have just been announced: St. Louis will host the conference on 18 and 19 November, followed by Lisbon next year on 16 and 17 March.

As usual, the conferences cover a range of earth-observation-related topics; this time with special emphasis on the effects of AI on the landscape. From the newsletter (unfortunately, there’s no public permalink available):

The satellite and geospatial sectors are entering a period of rapid change. Artificial intelligence is reshaping how Earth observation data is analyzed and applied. Commercial and government priorities are increasingly intertwined. Questions around access, competition, ethics, funding, and public benefit are becoming more urgent than ever.

Topics will include:

• The role of satellite data in humanitarian response, conservation, and climate resilience
• Funding shifts and their impact on open science and mission-driven work
• Sustaining community resources as funding landscapes shift
• The dual-use dilemma and when satellite imagery serves both humanitarian and military ends
• How humanitarian and climate organizations are doing mission-critical work with less
• GeoAI in practice: what works, what’s hype, and who benefits
• Commercial imagery, government pressure and the price of access

Geoserver 3.0

Simone Giannecchini:

GeoServer 3 set out to modernise the platform from the foundation up, and that is what this release delivers. The work was a coordinated programme rather than a single change, where a handful of major upgrades each set off a chain of smaller, necessary changes across the codebase. The items below are the headline changes that triggered much of the surrounding effort.

A modern Java foundation. The GeoServer ecosystem now runs on JDK 17 and Spring 7, the central upgrade that drove the rest of the work and brings GeoServer back onto a current, supported stack. That move cascaded into Jakarta, modern servlet containers, and a wide set of supporting libraries that all had to be carried forward together. The project worked through the dependency tree end to end, so the platform sits on a clean, maintainable base.

Modern raster processing. ImageN has replaced the legacy image-processing engine, putting raster processing on a modern foundation that is far easier to maintain going forward.

Reinforced security. Security and vulnerability management have been strengthened throughout, putting GeoServer on a stronger footing for the kinds of compliance and assurance its users increasingly need.

A refreshed administration experience and documentation. The administration interface has been rebuilt with a new context-driven design, and the documentation has been refreshed and updated alongside it.

Geoserver has been around forever, its one of these open-source projects that often fly under the radar. Rarely do you see flashy demos that work well on social media. But it’s nevertheless a core part of the geospatial open-source ecosystem and used in countless places. The variety of organisations that funded this work proves it.