I’ve been looking at broadcast maritime warnings around the eastern Med / Aegean, and some of the missile-operation windows are oddly interesting when you line them up against wider regional activity.

The obvious explanation is routine range activity. Greece/NATO-related missile exercises, exclusion areas, scheduled hazardous ops, etc. These warnings exist so civilian shipping does not sail into a live-fire box.

But the less comfortable question is this:

Are these warning areas also useful as indicators of future operational posture?

If you had surface ships or submarines in the eastern Med with land-attack missiles, the geography is not irrelevant. You are outside the Gulf, outside the most obvious chokepoints, but still within plausible long-range strike geometry depending on platform and munition. You also get political cover because the public signal looks like normal maritime safety traffic: “missile operations, sunrise/sunset, this box, these dates.”

Not saying “this warning equals a coming strike.” That would be a reach.

But as a forecasting layer, it seems worth watching:

1. Do missile-operation warnings cluster before regional escalation?
2. Do their timings overlap with known launch windows or airspace closures?
3. Do they coincide with AIS gaps, naval asset movement, or unusual SAR / comms traffic?
4. Are the same polygons reused as normal training ranges, or do they shift before major events?
5. Are civilian shipping patterns treating them as routine noise, or actually routing around them?

The interesting bit is not any single warning. It is the correlation over time.

Maritime safety broadcasts may be one of those boring public data sources that only becomes useful when you stop reading them as notices and start treating them as operational intent leaking through bureaucracy.

I’ve been working on a maritime intelligence research build called Phantom Tide, and I put together a short YouTube demo of the latest workflow.

The emergency-management angle is triage under incomplete information. At sea, no single feed tells the full story. AIS can be absent, sparse, delayed, or misleading. Thermal activity can be ambiguous. Warning areas can be broad. Infrastructure proximity can be benign. The useful part is seeing where several weak signals overlap and then preserving the context an analyst would need to review it properly.

The demo shows a multi-source workflow using vessel identity, movement behaviour, thermal anomalies, maritime warnings, chokepoint geography, infrastructure proximity, DSC communications, weather polygons, and curated reference data.

One example is thermal anomaly review in areas with absent or sparse AIS. Missing AIS alone is not treated as suspicious. It only becomes interesting when compared with other evidence and ranked for review. The video also shows improved map performance, better marker recognition, selected-signal inspection, chokepoint-scale scoring, cable-proximity review, and a panel that explains which signals are driving the current risk level.

This is not an automated incident detector and it is not meant to be another vessel-tracking dashboard. It is an analyst-support workflow: what deserves attention, which signals contributed, and what benign explanations still need to be ruled out.

I wanted to test Apache Superset properly, so I built a wildfire exposure monitor as I’ve been meaning to properly try Apache Superset for a while. It feels a bit overlooked compared with Grafana, Metabase, custom dashboards, and heavier GIS tooling.

So instead of doing a toy BI dashboard, I built a self-hosted wildfire exposure monitor. It ingests near-real-time VIIRS fire hotspot data, stores it in PostGIS, overlays infrastructure/corridor layers, and then calculates which recent detections are near assets or strategic areas.

The bit I cared about was moving from:

“Here is a hotspot on a map”

to:

“Here is a recent thermal detection near a power station / port / datacenter / refinery / military site / terminal / cable corridor.”

The stack is roughly:

- Python ingestor

- PostgreSQL/PostGIS

- Apache Superset

- Redis

- Docker Compose

- materialized proximity views

- infrastructure overlays

The early version was too slow because the first proximity refresh was expensive. Fixing that meant doing the obvious PostGIS work properly: GiST indexes, materialized views, lateral spatial probes, and not letting Superset publish the dashboard before the match tables existed.

Public read-only demo: Public Read Only Demo

username: demo

password: vUmNOD8dTio3HcwJXNSn7w

Superset is not a full GIS system, but with PostGIS behind it, it seems pretty underrated for this kind of operational dashboard.

I’ve been watching this region over the last few days and, even compared to roughly 72 hours ago, there seems to be a noticeable increase in naval-linked activity. This screenshot is showing a pretty dense concentration of tracked contacts across the Eastern Mediterranean, with especially heavy clustering around Port Said, Damietta, the Suez approaches, parts of southern Italy, western Greece, and the Turkish straits area. What stands out to me is not just isolated contacts, but how much activity seems to be stacking around major chokepoints and transit corridors.

I do not have a solid baseline for what ‘normal’ looks like here, so I’m trying to sanity check whether this is actually unusual or just a region that always looks crowded once you start paying attention. For people who follow this area closely: does this level of visible activity look broadly routine, or does it seem elevated? If it is elevated, is that usually more consistent with exercises, repositioning, escort/protection patterns, regional signalling, or something else?

I’ve been watching this region over the last few days and, even compared to roughly 72 hours ago, there seems to be a noticeable increase in naval-linked activity. This screenshot is showing a pretty dense concentration of tracked contacts across the Eastern Mediterranean, with especially heavy clustering around Port Said, Damietta, the Suez approaches, parts of southern Italy, western Greece, and the Turkish straits area. What stands out to me is not just isolated contacts, but how much activity seems to be stacking around major chokepoints and transit corridors.

I do not have a solid baseline for what ‘normal’ looks like here, so I’m trying to sanity check whether this is actually unusual or just a region that always looks crowded once you start paying attention. For people who follow this area closely: does this level of visible activity look broadly routine, or does it seem elevated? If it is elevated, is that usually more consistent with exercises, repositioning, escort/protection patterns, regional signalling, or something else?

Small demo of a feature I am building into Phantom Tide.

The focus is DSC communications that are actually worth an analyst looking at, especially distress and rescue-linked traffic, instead of treating everything as the same flat feed. Also trying to make it easier to see counterpart vessels / stations and comms links directly on the map.

Not a finished thing, but enough now to show the direction.