General Information
Most of the data is based on OSM (Open Street Map) or third-party WMS services. Other data is based on OSINT (Open Source Intelligence) data collection and manual mapping by guerillamap.
Currently, we have two collaborations with global intelligence firms, sharing their data with us:
The main map “Guerillamap” focuses on the conflicts worldwide. It shows geopolitical, military and infrastructural data. The data is divided into different categories: Conflicts, Military, Infrastructure, Environment and some Auxiliary data.
“Conflicts” shows the recent military, political and socioeconomical conflicts worldwide Each of these conflicts has the potential for a further escalation and possibly have global consequences. Some of these conflicts may seem far in the past, but they are still relevant up to this date and can rekindle anytime.
Layers:
Large migration can lead to conflicts, but they are also an indicator in which nation the people tendentially want to live – and where not! So migration is caused by conflict and can again lead to more conflict.
“Military” shows Global military installations, such as Airports, bases or nuclear missile sites. Most of the data derived from Open Streep Map, but quite a lot was mapped manually – either by us or by IOSI (iosi.global).
Some of the most important military – and some non-military – alliances worldwide. Source: Wikipedia.org
The Military Comparison map shows the firepower of the 45 strongest nations. All data derived from: globalfirepower.com. The firepower index not only compares military units, but also the county’s geography, financial situation etc.
Layers:
The most devastating natural disasters of the current year. Click the icons to receive more information and a link to news sites describing the disaster. There are additional layers linked to natural disasters, such as recent weather data.
“Weather”:
“Disasters”:
“Hazard”:
Use OSINT by yourself and map whatever you feel is related to military, conflict or geopolitics.
There are plots of several nations for when and where specific IMINT (Imagery Intelligence) satellites are passing. Note that the time is always in UTC (universal time). The passings are modelled using the TLE (telemetry data) for these satellites. The TLE data is used from N2YO.com and Celestrack.org. A passing is defined by a minimum of 45° elevation above horizon from the target location to the satellite – this is usually the maximum pointing capability of such satellites. Note that the modelled target location is always at 1 m a.m.s.l – so no terrain data is used in modelling the passes.
Use this STANAG table to get an idea, what GSD is needed to detect your targets:
So for example: A Vehicle can be detected with a GSD of 1.5 m – but at this GSD, we have no idea what kind of vehicle it is. With a GSD of 0.5 m we can probably say if it is a tank, a pickup truck or a civil car. If we want to know if it is a Tesla or a Toyota, we would need a GSD of 0.15 m – for tanks probably a GSD of 0.3 m would be enough. Please read more in IMINT and image analysis in our introduction article here: https://guerillamap.com/imint-a-very-basic-introduction/