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name: geospatial-osint description: Open-source geospatial intelligence gathering and visualization dashboard. Use when building Worldview-style spy thriller dashboards, monitoring geopolitical events, or analyzing multi-source OSINT. Covers satellite tracking, live flights (commercial + military), maritime traffic, street cameras, seismic data, and real-time visualization with post-processing effects. Supports 3D globe rendering with CRT/NVG/thermal modes, time-based replay, and multi-agent development workflows.

Geospatial OSINT / Worldview Dashboard

This skill covers building real-time geospatial intelligence dashboards inspired by Bilawal Sidhu's Worldview project.

Quick Start

Core Data Sources (Free)

Source	API/URL	Use Case
ADS-B Exchange	API, free key	Commercial flights
ADS-B Exchange Military	API	Military aircraft
OpenSky Network	Free API	Flight data
MarineTraffic	Free tier	Ship positions
CelesTrak	TLE files	Satellite orbits
n2yo.com	Free API	Satellite passes
GPSJam	Static	GPS jamming heatmaps
Earthquakes	GeoJSON	Seismic data
Insecam	Public cams	CCTV cameras
OpenStreetMap	Overpass API	Road networks

Paid Options (Optional)

• Planet Labs (daily imagery)
• Maxar (high-res)
• Capella Space (SAR)
• MarineTraffic Pro

Architecture

Stack

Frontend:      Cesium.js (3D globe) + Three.js (effects)
Data Layer:    Polling APIs → WebSocket → Entity updates
Visual:        Post-processing (bloom, CRT, NVG, thermal)
Development:   Multi-agent CLI (OpenClaw, Claude, etc.)

Visual Modes

Worldview supports multiple rendering modes:

// Effect pipeline examples
const effects = {
  // Night Vision Goggles (green tint + scanlines)
  nvg: {
    colorMatrix: [0,1,0,0, 0,1,0,0, 0,0,1,0, 0,0,0,1],
    scanlines: true,
    vignette: 0.3
  },
  
  // Thermal (heat map coloring)
  thermal: {
    colorMap: 'inferno',
    threshold: true
  },
  
  // CRT (scanlines + curvature + glow)
  crt: {
    scanlines: 0.5,
    curvature: 0.02,
    bloom: 0.5
  },
  
  // Fluor (high contrast military green)
  fluor: {
    colorMatrix: [0,0.5,0,0, 0,1,0,0, 0,0.5,0,0, 0,0,0,1],
    contrast: 1.5
  }
};

Data Layers

Layer	Source	Update Freq
Satellites	CelesTrak TLE	Periodic refresh
Commercial flights	ADS-B / OpenSky	~5 sec
Military flights	ADS-B Exchange military	~5 sec
Ships	MarineTraffic	~1 min
CCTV	Insecam	~1 min
Road traffic	OSM + simulation	Static + particles
Earthquakes	USGS	Real-time
GPS jamming	GPSJam	Static/daily

Dashboard Template

Basic Cesium Setup

import * as Cesium from 'cesium';

const viewer = new Cesium.Viewer('container', {
  terrainProvider: Cesium.createWorldTerrain(),
  baseLayerPicker: false,
  timeline: true,
  animation: true,
  sceneMode: Cesium.SceneMode.SCENE3D
});

// Enable 3D buildings
viewer.scene.primitives.add(Cesium.createOsmBuildings());

// Clock settings for replay
viewer.clock.shouldAnimate = true;
viewer.clock.multiplier = 60; // 60x speed

Loading Flight Data

async function loadFlights(bounds) {
  const response = await fetch(
    `https://opensky-network.org/api/states/all?lamin=${bounds.minLat}&lomin=${bounds.minLon}&lamax=${bounds.maxLat}&lomax=${bounds.maxLon}`
  );
  const data = await response.json();
  
  data.states.forEach(flight => {
    const [icao, callsign, .., lat, lon, alt, .., velocity, heading] = flight;
    // Add entity to viewer
    viewer.entities.add({
      id: icao,
      position: Cesium.Cartesian3.fromDegrees(lon, lat, alt),
      point: { pixelSize: 5, color: getFlightColor(callsign) },
      label: { text: callsign, font: '10px monospace' }
    });
  });
}

Satellite Tracking

// Load TLE and calculate positions
const satellites = await fetch('https://celestrak.org/NORAD/elements/gp.php?GROUP=visual&FORMAT=tle')
  .then(r => r.text());

// Use satellite.js to propagate
import { propagate, eciToEcf } from 'satellite.js';

function updateSatellite(satrec, time) {
  const position = propagate(satrec, time);
  const gmst = satellite.gstime(time);
  const positionEcf = eciToEcf(position.position, gmst);
  
  return {
    x: positionEcf.x * 1000,
    y: positionEcf.y * 1000,
    z: positionEcf.z * 1000
  };
}

CCTV Camera Overlay

// Insecam - public cameras
async function loadCameras(bounds) {
  const response = await fetch(
    `https://www.insecam.org/en/by-country/XX/?page=1` // Filter by country
  );
  // Parse camera list, add as entities with video texture
}

// Project camera onto 3D geometry
cameraEntities.forEach(cam => {
  viewer.entities.add({
    position: cam.location,
    billboard: {
      image: cam.snapshot,
      width: 320,
      height: 240,
      pixelOffset: new Cesium.Cartesian2(0, -120)
    }
  });
});

Post-Processing Effects

// Using Cesium's PostProcessStage
const bloom = viewer.scene.postProcessStages.bloom;
bloom.enabled = true;
bloom.threshold = 0.5;
bloom.strength = 0.5;

// Custom shader for CRT effect
const crtEffect = new Cesium.PostProcessStage({
  name: 'crt',
  fragmentShader: `
    uniform sampler2D colorTexture;
    varying vec2 v_textureCoord;
    void main() {
      vec4 color = texture2D(colorTexture, v_textureCoord);
      // Scanlines
      float scanline = sin(v_textureCoord.y * 800.0) * 0.04;
      // Vignette
      float vignette = 1.0 - length(v_textureCoord - 0.5) * 0.5;
      gl_FragColor = vec4(color.rgb * (1.0 - scanline) * vignette, 1.0);
    }
  `
});

Workflow: Building with AI Agents

Multi-Agent Setup

Run multiple terminals in parallel:

Terminal 1: Core 3D globe + Cesium setup
Terminal 2: Data integration (flights, satellites)  
Terminal 3: Visual effects (shaders, post-processing)
Terminal 4: UI controls + camera systems

Prompt Template

Build a [feature] for my Cesium.js geospatial dashboard.
Requirements:
- [specific behavior]
- Integration with existing data layer
- Performance: handle [N] entities without lag
- Visual style: [CRT/NVG/thermal/none]

Performance Tips

// Sequential loading for large datasets
async function loadSequential(data, chunkSize = 1000) {
  for (let i = 0; i < data.length; i += chunkSize) {
    const chunk = data.slice(i, i + chunkSize);
    chunk.forEach(addEntity);
    await new Promise(r => setTimeout(r, 100)); // Yield to UI
  }
}

// Use PointPrimitiveCollection for 10k+ points
const points = viewer.scene.primitives.add(new Cesium.PointPrimitiveCollection());
points.add({ position: ..., color: ... });

Region Monitoring

Automated Polling

import requests
import schedule
from datetime import datetime

REGIONS = {
  'iran': {'lat': 32.0, 'lon': 52.0, 'radius': 500},
  'gulf': {'lat': 26.0, 'lon': 52.0, 'radius': 300},
}

def monitor():
    for name, bounds in REGIONS.items():
        flights = get_flights(bounds)
        military = get_military(bounds)
        if detect_anomaly(flights, military):
            alert(f"Anomaly in {name}: {details}")

schedule.every(5).minutes.do(monitor)

Alert Conditions

• Sudden flight rerouting
• New no-fly zones
• Unusual military activity
• Satellite coverage of area of interest

References

• Cesium.js
• Rendering Stack
• ADS-B API
• Satellite Passes
• Post-Processing