Mekong Institute

03 / DETECT

Early signals. Connected evidence.

From satellite observations to community tests and river stations.

About the demonstration ↙

DELIVERABLE #4 · SATELLITE AND AI SURVEILLANCE

A closer look at activity on the ground.

Archived Sentinel-2 imagery
Sepon mining areaLoading scene metadata…
10 m Sentinel-2 pixels · Zoom enlarges existing detail
Read the imagery and analysis correctly

True-colour imagery uses Sentinel-2 red, green and blue bands at 10 m. The vegetation index is calculated from red and near-infrared reflectance; it describes vegetation response, not contaminant concentration. Cloud masks are imperfect, and only selected valid land and water classes enter the index. One date cannot establish expansion, a trend or a pollution event.

These sites demonstrate image interpretation. No non-compliance or contamination is alleged. Dissolved metals, pathogens and discharge legality require field evidence, laboratory analysis and records.

Sources: Copernicus Sentinel-2 products · Cloud and scene classification · Element 84 Earth Search.

PROPOSED SURVEILLANCE MECHANISM

Observe → review → verify.

Human review before action
01 / ACQUIRE

Watch priority areas

Register mines, factories, rivers and water intakes. Check each available Sentinel-2 acquisition; retain date, bands and source identifiers.

02 / SCREEN

Keep usable pixels

Mask cloud, shadow and missing data. Compare equivalent seasons and flag areas without a usable observation for follow-up.

03 / ANALYZE

Find candidate changes

Propose AI segmentation for excavation and industrial footprints, then compare dates for disturbance and vegetation change. Calibrate water-colour indicators locally.

04 / REVIEW

Check the explanation

An analyst reviews images, uncertainty, source records and permits. Reject cloud artifacts and seasonal changes; record the reason.

05 / VERIFY

Send a focused field task

Give the community, station or mobile laboratory team a location, questions and a sampling plan. Confirm contamination before assigning a cause.

06 / LEARN

Improve with evidence

Return verified labels to the model. Track false alarms, missed events, usable-image delays and time from screening to confirmation.