Illegal logging drains an estimated $50–150 billion from forest economies annually and accounts for 15–30% of global timber trade volume. Forest agencies relying on ground patrols or infrequent aerial surveys cannot match the speed or geographic reach of organised illegal operators who move equipment overnight and exploit cloud cover. By the time a violation is confirmed on the ground, the timber is already loaded and the machinery gone.
A sovereign constellation combining C-band SAR and medium-resolution optical imagery cuts through cloud cover and darkness to detect the surface disturbances — cleared patches, track incursions, log deck formation — that precede or accompany active cutting. Layering RF survey payloads to detect VHF radios and engine ignition signatures narrows the detection window from weeks to hours. Change-detection algorithms running on a national GPU cluster flag anomalies against a baseline forest map updated on every overpass, triggering enforcement tippers before timber leaves the forest edge.
The operational outcome is a real-time picture of forest criminality that prosecutors can use as court-admissible evidence, concession auditors can use to verify licence compliance, and customs authorities can use to challenge suspicious timber export certificates. Nations that control this pipeline own the evidence chain; those relying on commercial providers face data-sharing constraints, export controls on SAR products, and no guarantee that raw imagery will be retained long enough for criminal proceedings.