Any reservoir on Earth
40,000+ dams pre-catalogued from GRanD, plus user-drawn polygons for unlisted lakes, wetlands, and seasonal water bodies. No "supported reservoirs" list.
Pick any dam, lake, or wetland. Arariel pulls every cloud-free satellite image of it since 2000, measures the waterline, and tells you the wettest and driest moments of each year — the watermarks. Then it forecasts the next one.
Reservoirs are the world's water bank accounts. They get deposits (snowmelt, rain, river inflow) and withdrawals (drinking water, irrigation, hydropower). If you don't know the balance, you can't plan.
Until now, knowing the balance meant either trusting whatever the dam operator publishes — which is often delayed, redacted, or just not public for foreign reservoirs — or hiring a remote-sensing analyst at $50,000+ to read the satellite imagery by hand.
Arariel reads the satellite imagery automatically and gives you a 25-year history in minutes. No insider access. No manual labor. No waiting.
Click any reservoir on a world map. Arariel ships with the Global Reservoir and Dam Database (GRanD) — about 40,000 reservoirs worldwide — plus user-defined polygons for lakes and wetlands that aren't in GRanD.
The app fetches every cloud-free Landsat 5/7/8/9 and Sentinel-2 scene of the reservoir since 2000. That's typically 200–600 usable scenes per reservoir.
For each scene, Arariel computes MNDWI — the Modified Normalized Difference Water Index, a published water-detection method — and traces the waterline. Out comes a surface area in km² for every observation.
The annual peak and trough are the HIGH and LOW watermarks. The forecast is an ordinary-least-squares regression on the trend, validated by leave-one-out cross-validation (LOOCV). Every number is reproducible from the source scenes.
Same methodology Arariel applied to the Indus Basin's Tarbela and Mangla reservoirs in our flagship engagement (study HYD-26-014) — re-run here on the most-watched reservoir in the United States, with 25 years of U.S. Bureau of Reclamation elevation history as ground truth.
End-of-month elevation, Lake Mead, 2000–2025. The gold dots mark each year's LOW watermark; the blue dots mark each year's HIGH. Hover for exact values.
The full dataset is 26 years × 2 watermarks = 52 rows. Showing the most recent 12 below. Download all 52 (CSV) · XLSX
| Year | HIGH date | HIGH elev (ft) | HIGH area (km²) | LOW date | LOW elev (ft) | LOW area (km²) | Drop (ft) |
|---|
OLS regression on 25 years of HIGH watermark data, with a 95% prediction interval derived from leave-one-out cross-validation (LOOCV). The same forecast you'd get from Arariel on any reservoir, computed live in your browser from the dataset above.
elev = β₀ + β₁ · year.
This is the same forecast the Arariel desktop app generates when you click "Forecast" on any reservoir. The math is transparent on purpose — you can re-derive it from the CSV.
Every Arariel engagement produces this same artifact set. The Hoover Dam bundle below is free — same format, same depth as our paid client deliveries.
40,000+ dams pre-catalogued from GRanD, plus user-drawn polygons for unlisted lakes, wetlands, and seasonal water bodies. No "supported reservoirs" list.
Landsat record goes back to 1972. Modern Collection-2 calibration covers 2000–present at 30 m resolution. Sentinel-2 fills in at 10 m from 2015 onward.
CSV dataset, branded PDF study, editable DOCX, annotated satellite imagery, time-series charts, forecast with uncertainty bands. Pick what you need on the SOW.
Every result traces back to specific Landsat scene IDs and an explicit MNDWI threshold. Methodology is published, not proprietary. Defensible in court, in peer review, in IG audits.
NASA / USGS / NOAA / ESA / ECMWF / OpenStreetMap. No subscription fees, no licensing gotchas, no foreign-data-access restrictions.
HelioLink Technologies is a Service-Disabled Veteran-Owned Small Business, eligible for set-aside and sole-source contracting under FAR 19.14.
Volume discount on multi-reservoir engagements · quarterly refresh subscriptions available · GovCloud hosting on request