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High-resolution aerial imagery concept showing landscape change detection patterns
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Earth Observation

See change as it happens, not hours later. On-orbit change detection, vegetation monitoring, and disaster response — at sensor rate, before downlink.

The latency gap in Earth observation

Modern Earth observation satellites are technically sophisticated sensors. High-resolution multispectral imagery, synthetic aperture radar, hyperspectral payloads with hundreds of spectral bands — the collection capability has advanced substantially over the past decade. The intelligence pipeline has not kept pace with the sensor.

The bottleneck is structural. Raw imagery collected over a region of interest sits on the satellite until a ground station pass opens — which may be 6 to 18 hours away depending on orbit inclination and ground segment coverage. Analysis cannot begin until that pass completes. For a commercial EO operator running change detection on agricultural land or urban infrastructure, that latency is a product limitation. For a disaster response customer, it can erase the value of the entire collection entirely.

What on-orbit processing enables for EO operators

Disaster Response

Wildfire perimeter mapping, flood extent delineation, infrastructure damage classification — TILE runs the detection algorithm in orbit as the satellite crosses the affected area. A compact alert packet with bounding coordinates is downlinked during the next available pass. The decision is made before the satellite has completed the overpass, not 12 hours later.

Agricultural Monitoring

Crop stress detection, irrigation anomaly classification, harvest readiness indicators — available at the cadence of the constellation, not constrained by downlink bandwidth limits.

Change Detection at Scale

TILE runs pixel-differencing or learned change detection models against a baseline image pre-loaded before launch. Detected change regions produce compact GeoJSON-equivalent alert packets. Routine unchanged imagery is summarized or discarded — raw multispectral frames only downlinked when they contain a flagged change above threshold.

Bandwidth Compression

Only anomalies and frames of interest are downlinked in full resolution. Routine imagery is compressed to summary statistics. Downlink capacity used for intelligence, not storage.

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