Advanced OSM Queries for Intelligence

This lesson builds on the fundamentals of Overpass Turbo to create more sophisticated queries for intelligence gathering and analysis.

Combining Multiple Criteria

Advanced intelligence work often requires combining multiple search criteria:

[out:json];
{{geocodeArea:Kiev}}->.searchArea;
(
  // Government facilities
  node["office"="government"](area.searchArea);
  way["office"="government"](area.searchArea);

  // Critical infrastructure
  node["power"="substation"](area.searchArea);
  way["power"="substation"](area.searchArea);

  // Transportation hubs
  node["aeroway"="aerodrome"](area.searchArea);
  way["aeroway"="aerodrome"](area.searchArea);
  node["railway"="station"](area.searchArea);
);
out body;
out skel qt;

Advanced Filters and Operators

Regular Expressions

Use regular expressions to find patterns in tags:

// Find all military facilities containing "base" or "training" in name
node["military"]["name"~"base|training", i](area.searchArea);

Boolean Logic

Combine criteria with boolean logic:

// Buildings that are either government offices OR have security systems
node["building"]["office"="government"](area.searchArea);
node["building"]["security_system"](area.searchArea);

Working with Relations

Relations in OSM represent complex features like multipolygons or routes:

// Find border crossing points
relation["boundary"="administrative"]["admin_level"="2"];
node(r:"outer")["barrier"="border_control"];

Spatial Analysis Techniques

Proximity Analysis

Find elements within a specific distance of a point of interest:

// Security features within 500m of a government building
node["office"="government"](area.searchArea)->.govt;
(
  node["security_camera"](around.govt:500);
  node["barrier"="checkpoint"](around.govt:500);
);
out body;

Intersection Analysis

Find elements that intersect with other elements:

// Find military facilities that intersect with highways
way["military"](area.searchArea);
way(if:crossing["highway"]);
out geom;

Time-Based Analysis

Query for elements changed within a specific timeframe:

// Security-relevant changes in the last 30 days
[out:json][timeout:300][date:"{{date:30days}}"];
{{geocodeArea:Kyiv}}->.searchArea;
(
  node["military"](changed:"{{date:30days}}")(area.searchArea);
  way["military"](changed:"{{date:30days}}")(area.searchArea);
  node["barrier"](changed:"{{date:30days}}")(area.searchArea);
);
out meta;

Exporting for Advanced Analysis

For deeper analysis in dedicated GEOINT tools:

1. Run your advanced query
2. Click "Export"
3. Choose "GeoJSON" format
4. Process the data in QGIS or ArcGIS for:
5. Heat mapping
6. Network analysis
7. Pattern identification
8. Overlay with other intelligence sources

Case Study: Area Vulnerability Assessment

This Overpass query identifies critical infrastructure in a target area:

[out:json];
{{geocodeArea:Mariupol}}->.searchArea;
(
  // Critical infrastructure
  node["power"](area.searchArea);
  way["power"](area.searchArea);
  node["utility"](area.searchArea);
  way["utility"](area.searchArea);

  // Command and control
  node["office"="government"](area.searchArea);
  way["office"="government"](area.searchArea);
  node["military"](area.searchArea);
  way["military"](area.searchArea);

  // Transportation
  node["highway"="motorway_junction"](area.searchArea);
  way["highway"="motorway"](area.searchArea);
  way["highway"="trunk"](area.searchArea);
  node["railway"="station"](area.searchArea);
  way["aeroway"](area.searchArea);
);
out body;
out skel qt;

Exercise

Develop an advanced intelligence query for a scenario of your choice:

1. Select a geographic area of interest
2. Define intelligence requirements (what information you need)
3. Create an Overpass query that combines multiple data types
4. Export the results for further analysis
5. Document your intelligence findings based on the query results