◼ CASE · ENVIRONMENTAL · MENA

Sovereign Wildlife & Ecosystem Reserve

130,000 km² of the largest protected reserve in the Middle East — transformed from episodic monitoring into a continuous intelligence system for wildlife, water, and vegetation.

LOCATION
— · — · Region withheld
SCALE
130,000 km²
SOLUTION
S·06 + S·07
STATUS
Operational
  ▶ THE PROBLEM

Vast area. Tiny teams.
Intelligence, not patrols.

Rangers cannot walk 130,000 km². Satellite passes miss short-lived events. Fixed cameras see only what they point at. The reserve needed continuous awareness at ecosystem scale — not more devices.

The operational question was not "can we detect an animal". It was: can a ranger team, on any given day, know what moved, what changed, and what needs attention — across an area larger than most countries?

  ▶ THE DEPLOYMENT · LIVE SIMULATION

What a ranger sees today.

  ▶ OUTCOMES

Results at 12 months.

4×
Ranger coverage efficiency
31%
Water-source variance flagged
14%
NDVI drops identified
0
Invasive tags on tracked wildlife
  ▶ HOW IT WORKS

Sensors. Tracks. Events. Rangers.

  1. 01Scheduled UAV sweeps and camera-trap networks produce thermal + EO detections.
  2. 02MESH correlates detections into persistent individual tracks per species.
  3. 03Environmental layers (NDVI, water indices) build continuous baselines per zone.
  4. 04Deviations become ranked ecological events — not raw alerts.
  5. 05Closest qualified ranger team is tasked from the operator shell.
  ▶ FIELD NOTE
"We stopped asking where the animals might be. We started asking which ones need attention, and why."
— FIELD OPERATIONS LEAD, PROTECTED RESERVE

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