CEOS Interoperability Handbook for space agencies and providers

The Non-GEO Constellations Analysis Toolkit (NCAT) version 5.4 is now live with powerful new features to support smarter planning for LEO/MEO satellite networks. What is NCAT? A user-friendly web-based platform for strategic analysis, business modeling, and performance benchmarking across non-GEO constellations. It supports: - Multi-orbit, multi-band analysis (coverage, capacity, latency..) - Real-time and accelerated simulations (up to 300×) - Custom demand models, beam allocation, mobility and link budgets - AI-powered reporting and dynamic visual outputs What’s new in 5.4: - Advanced orbit customization - Upgraded mobility modeling (aviation, maritime, rail) - Terrestrial coexistence via exclusion zones (esp. for D2D) - Day/night boundary visualization for EO missions - Crowdsourced data integration (beta) - Light /dark UI modes Why it matters: As MNOs and telecom operators embrace satellite constellations for rural connectivity, backhaul and D2D, NCAT offers: - Constellation vs. terrestrial network and bandwidth benchmarking - Business case sensitivity testing (e.g., capex/opex trade-offs) - Rigorous supply-demand modeling and interference avoidance Plan smarter. Simulate faster. Decide with clarity: Explore NCAT and the latest updates in version 5.4 through the links below. To see how NCAT can support your strategy, contact Analysys Mason for more information. - NCAT info page: https://lnkd.in/dSKWwSy2 - NCAT 5.4 enhancements: https://lnkd.in/e6yb5wVt P.S. The attached video shows a simulation over Argentina, incorporating exclusion zones around cell tower locations.

Want to transform how you deliver and visualise geospatial data? In our latest webinar, Johnnie Shannon, Principal Geospatial Consultant, demonstrates how ERDAS APOLLO V2023.4, now fully integrated with Luciad Fusion, blends style with substance to deliver one of the most powerful data management solutions available. The session covers how to: • Apply advanced styling to raster and vector data • Create web services with custom styles for effortless sharing • Manage and visualise data seamlessly within Catalog Explorer Watch the full webinar on here: https://bit.ly/48hGDwi #ERDASAPOLLO #LuciadFusion #GeospatialInsight #Hexagon #RemoteSensing #SpatialAnalysis #GeospatialWebinar #DataManagement

Looking to enhance the way you deliver and visualise geospatial data? In our latest webinar, Johnnie Shannon, Principal Geospatial Consultant, showcased how ERDAS APOLLO V2023.4, now fully integrated with Luciad Fusion, combines style with substance to create one of the most powerful data management solutions available. The session explored how to: • Style raster and vector data with advanced options • Create web services with applied styles for seamless sharing • Visualise and manage data efficiently in Catalog Explorer Ready to see it in action? Watch the full webinar on YouTube here: https://bit.ly/4gRsc4l #ERDASAPOLLO #LuciadFusion #GeospatialInsight #Hexagon #RemoteSensing #SpatialAnalysis #GeospatialWebinar #DataManagement

How do we know when Earth's orbit is full? As the number of satellites being launched every year continues to grow rapidly, researchers have begun to ask the question - how many satellites can Earth's orbit sustainably support? MIT's ARCLab is working to answer that question! I'm pleased to share that our new paper, "Constraining Earth's Orbital Capacity via Operational Feasibility" has just been published in the Acta Astronautica Journal! In this work, we propose a definition of orbital capacity based on the number of close approaches between satellites. This framework allows us to understand which areas of orbit are crowded past the point of sustainability. This work was done in collaboration with my colleagues at MIT's ARCLab. Special thanks to co-authors William Parker, Giovanni Lavezzi, and Richard Linares. And thank you to Miles Lifson for the feedback along the way. I'm especially excited because this is my first journal publication as a grad student at MIT! Read our paper here: https://lnkd.in/gEGRDUSz

Satellites aren’t launched to spend their lives dodging each other in orbit. Starlink already performs >100,000 collision avoidance maneuvers per year. As the orbital catalog continues to grow, at what point does the burden of collision avoidance make it impossible to accomplish our goals in space? How does coordination help prevent unnecessary maneuver burden? Read more in our newly published paper below! Great work by Maya Harris and the team on this important issue.

🚀 ECMWF Data Stores go ARCO (Analysis-Ready Cloud-Optimised) Copernicus ECMWF is rolling out an ARCO Data Lake for CAMS & C3S—bringing faster, cloud-native access to big climate datasets (hello, ERA5! 🙌). What’s live now 📈 ERA5 hourly time-series (single levels, 1940-present) 🌍 ERA5-Land hourly time-series (1950-present) Both delivered in Zarr, powering apps like ERA Explorer & Thermal Trace. Why ARCO matters ⚡ Analysis-ready: use data directly—less wrangling. ☁️ Cloud-optimised: chunked in space & time → rapid point time series. 🤖 ML/AI-friendly: perfect for modern pipelines. Pro tip ✅ Best for long time series at a point & ML workloads. 📦 For large spatial domains / complex vars / ops use, stick to native NetCDF/GRIB. What’s next 🔐 Tokenised access to data cubes (testing) 🧰 Deeper integration with Polytope, Earthkit, and Anemoi ML stack ☁️ All on the ECMWF Common Cloud Infrastructure Huge step for reproducible, scalable climate analytics 👏 Who’s excited to port their ERA5 workflows to Zarr + dask/xarray? What’s your first ARCO use case? #ECMWF #C3S #CAMS #ERA5 #ARCO #Zarr #OpenData #ClimateTech #MLforClimate #DataEngineering #CloudComputing #WEkEO

The Port of Corpus Christi, one of the largest ports in the U.S., is redefining how critical infrastructure operates with a real-time digital twin. Their OPTICS platform (Overall Port Tactical Information Computer System) integrates vessel tracking, police dispatch, and environmental data into a unified 3D operational view. The result? Enhanced situational awareness, faster decision-making, and safer field operations. This is a powerful example of how spatial computing and digital twins are moving from planning tools to live operational systems that can transform not only ports, but also cities, utilities, and transportation networks. 🔗 Read the full article: https://lnkd.in/g6iWHu-f #DigitalTwin #SpatialComputing #RealTimeData #SmartPorts #MaritimeInnovation #GIS #3DVisualization #OperationalIntelligence

The future of Space Data is federated! 🛰️ LEONSEGS partners Z_GIS - Department of Geoinformatics, University of Salzburg and Aistech Space were at the Big Data from Space (BiDS) 2025 event in Riga, reinforcing the project's vision. The conference highlighted that the industry's biggest needs are small, federated solutions and interoperability, exactly the challenge LEONSEGS is tackling. This alignment confirms the project's vital role in maximizing the benefits of EO data for the European sector. Read the full report on the conference: https://lnkd.in/ddJKQ9he #LEONSEGS #BiDS2025 #EarthObservation #BigData #Interoperability #NewSpace 

🌟 New Blog Just Published! 🌟 📌 Synthetic Tracing: Smarter Data for Better Observability 🚀 ✍️ Author: Hiren Dave 📖 In contemporary architectures, insight is no longer a luxury; it is a prerequisite for reliability. Observability aggregates logs, metrics, and traces so that engineers can pose any hypothesis about..... 🕒 Published: 2025-10-18 📂 Category: Tech 🔗 Read more: https://lnkd.in/d9mzx_E8 🚀✨ #synthetictracing #observability #systemmonitoring

Last night, I stepped outside in Dallas and looked up at the exact second my app told me the International Space Station (ISS) would pass overhead. There it was, right on schedule. The app told me exactly, to the second, when the ISS would appear, when it would disappear, and in which direction to look in the sky to find it. That level of precision, even for someone with engineering degrees, still feels surreal. We can track a 420,000-kilogram laboratory hurtling around Earth at 17,500 mph with astonishing accuracy. Now, compare that to supply chains. Instead of predictable orbital mechanics, we wrestle with volatile lead times, shifting demand, unpredictable supplier performance, and global disruptions. Unlike the ISS, we can’t forecast exact “coordinates” for what will happen tomorrow. But here’s the key: Supply chains don’t need perfect prediction. What they need is resilience. With robust mathematical models, frequent data updates, and built-in flexibility, we can adapt quickly when things inevitably shift off course. If satellites are about precision, supply chains are about agility. Both require good modeling. Both require constant monitoring. One operates on Newton’s laws, while the other relies on human behavior and uncertainty. And while we can’t yet schedule a shipment as precisely as spotting the ISS, we can design systems ready to respond the moment reality diverges from the plan. That’s the real orbital mechanics of supply chains. ---------------------- Speaking of precision and good modeling, I invite you to check out the following webinar I hosted last December. It demonstrates how to design and optimize your supply chain network using Microsoft Excel and the lesser-known Solver functionality, a free add-in to the basic Excel package. No multi-hundred-thousand-dollar software required. Just a little knowledge and the proper training. https://lnkd.in/gdjR3jcJ #SupplyChain #Logistics #NetworkDesign