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Space has become a contested domain. Thousands of satellites from various nations and numerous commercial operators now share a limited number of orbital slots, and the line between peaceful and military-use spacecraft is increasingly blurred. An analyst attempting to monitor orbital activity in this environment faces a significant challenge. Publicly available data, primarily Two-Line Element (TLE) sets published by the US Space Force, provide an object’s location and trajectory. Still, it does not clarify whether that behavior is normal, if it has changed, or what it might signify.
Besides that, detecting an orbital maneuver using raw TLE data requires comparing historical element sets, predicting future positions, and identifying differences between predicted and actual orbits. Linking that maneuver to a geopolitical event, such as a military exercise, demands an additional layer of open-source analysis that basic tracking tools do not provide. SkyOSINT is designed to address both aspects: technical detection of maneuvers and intelligence correlation.
In this article, we will explore what SkyOSINT is and how to get started using it for satellite tracking. Let’s get rolling!
What Is SkyOSINT?
SkyOSINT is an online platform that tracks over 15,000 objects in Earth orbit in real-time. It goes beyond just showing where these objects are; it combines location data with behavioral analysis, radio frequency (RF) monitoring, and geopolitical insight. Instead of just telling you where something is, SkyOSINT helps answer tougher questions: What’s this object up to? Is what it’s doing normal? And what does that mean in a wider geopolitical context?
Space OSINT and Space Domain Awareness
Space Situational Awareness (SSA) is all about knowing where objects in orbit are located, and it has been a key focus for the military and civil sectors since the Cold War. The U.S. Space Surveillance Network has been tracking these orbital objects since the 1950s and now monitors tens of thousands of satellites, rocket parts, and debris. Until recently, though, this information was mostly used to avoid collisions and manage catalogs rather than for intelligence analysis.
Space Domain Awareness (SDA) is a bigger concept that the U.S. Department of Defense formally adopted around 2019. It goes beyond just tracking locations to also understand the status, capabilities, and intentions of objects in orbit.
Another important aspect to understand is the TLE set. The Two-Line Element set (TLE) is the standard format for describing a satellite’s orbital details. The U.S. Space Force publishes TLEs for every tracked object in its catalog. A TLE includes six Keplerian orbital elements: inclination, right ascension of the ascending node, eccentricity, argument of perigee, mean anomaly, and mean motion. Together, these explain an object’s orbit at a specific time known as the epoch. By using these elements with the SGP4 propagation model, software can predict the object’s position at any future time.
Why Maneuver Detection Matters
When a satellite maneuvers and changes its orbit by firing thrusters, it is signaling something important. The type, strength, and timing of the maneuver all hold intelligence value. Routine moves, such as station-keeping for geostationary satellites to maintain their positions, are expected and not particularly significant. However, a maneuver that alters a satellite’s orbital plane, significantly changes its altitude, or brings it close to another object could be noteworthy.
Spotting these maneuvers from public TLE data can be problematic. TLEs come with measurement noise, get updated at random intervals, and use a simplified gravitational model. It takes advanced statistics to separate genuine maneuvers from noise and to determine the direction and size of a change in velocity known as delta-v. This is a core analysis function that SkyOSINT handles.
The RF Intelligence Layer
Positional tracking tells you where a satellite is located. At the same time, radio frequency monitoring shows whether it is communicating, which frequency bands it uses, and whether those signals match what operators have publicly announced. Radio Frequency Intelligence, or RFINT, has traditionally been the area of national signals intelligence agencies. However, with accessible software-defined radio technology, even hobbyists and open-source RF monitoring have become important contributors to the field of space intelligence.
When a satellite starts transmitting on a new frequency, increases its signal strength, or is detected communicating when it should be quiet, it is showing unusual behavior that can be very significant. By combining this RF data with positional information, we can confirm whether a satellite is active, determine its operational phase, and sometimes even link its actions to events on the ground below.
Get Started with SkyOSINT
To start tracking satellites, open the website https://skyosint.io/ in your browser. You will see a webpage similar to the one below.
By scrolling down, we can see how many foreign satellites are passing over US territory and which country they belong to.
In addition, we can see the core OSINT capabilities of this tool. We’ll explore these capabilities in practice a bit later. For now, let’s check the overflight report.
SkyOSINT provides very clear statistics. As shown in the screenshot above, there are currently over 1,200 Russian satellites flying over the U.S. at the time of writing this article. Additionally, we can see satellite classifications, passes near major cities, exact times, and the most active satellites, including their names, NORAD IDs, inclinations, periods, passes, and types.
When you return to the main page and scroll down, you will also see active conflict zones and key locations.
Let’s click Ukraine to monitor.
A pop-up will appear as shown below; you can click Start Exploring.
Here we can see five satellites, represented as green dots. By clicking on them, you’ll see additional information about each one on the right side of the screen.
We can observe not only satellites but also GPS threats like jamming or spoofing.
In addition, SkyOSINT offers a dark mode and displays streets along with restricted zones. With satellite imagery, we can observe both civil and military aircraft.
Summary
SkyOSINT represents a significant advancement in making space intelligence more accessible. Previously, the ability to detect orbital maneuvers, monitor radio frequency (RF) signals, and link space activities with geopolitical events was largely held by national space agencies, defense contractors, and well-funded commercial Space Domain Awareness (SDA) firms. While the data itself has been open, the analytical tools needed to derive meaningful insights from it were not readily available.
With SkyOSINT, those analytical tools are now offered through an easy-to-use web-based platform. Analysts who are knowledgeable in this field can now monitor the behavior of over 15,000 space objects.
If you’re looking to enhance your OSINT skills, consider exploring our OSINT training. If you need assistance in uncovering the truth, don’t hesitate to reach out to us at [email protected], and we’ll conduct a comprehensive OSINT investigation for you.
Source: HackersArise
Source Link: https://hackers-arise.com/open-source-intelligence-osint-tracking-satellites-with-skyosint/