A bathymetric survey tells you the storage you had on the day the boat went out. Between surveys, sediment keeps arriving and water quality keeps shifting — and you are flying blind. HydroSed reads surface turbidity, plume dynamics and water-extent change from orbit on a repeating cycle, and turns them into a sedimentation and water-quality signal for the years in between, each value carrying its own quantified uncertainty.
A continuously updated reservoir sediment-and-quality layer that fills the gap between costly surveys — every estimate bounded by a calibrated interval and benchmarked against in-situ measurements, so it stands up in a dam-safety file rather than sitting in a slide.
No measured accuracy percentage is quoted below. The differentiator is that every estimate ships with a calibrated, validated uncertainty band — and that the method's blind spots are stated, not hidden.
You trust it because it arrives with its limits attached. Each estimate is delivered as a conformal prediction interval with guaranteed coverage — a turbid plume, a partial cloud or a low sun angle widens the band rather than producing a confident wrong answer. The surface signal is benchmarked against in-situ measurements: where you hold sediment cores, turbidity probes or a recent bathymetric survey, those become the reference the satellite layer is checked against.
Spatial: per-pixel surface mapping across the reservoir footprint, resolving plumes, near-shore deposition zones and the inflow delta separately from open water.
Temporal: refreshed on the satellite revisit cycle — optical passes depend on clear sky, while radar water-extent continues through cloud.
The API exposes standard tag-style values and intervals that a SCADA / historian integration can ingest as derived points alongside existing instrumentation.
This is the central honest limit. Optical sensing reads the surface and near-surface — it cannot directly measure deposition on the bed of a deep reservoir, and very turbid water saturates the signal. We do not pretend a satellite replaces a survey boat. We mitigate three ways: (1) we infer bed accumulation from the surface sediment budget — what the catchment delivers and what settles — calibrated against your bathymetry; (2) we fuse radar-derived water extent and level so storage change is tracked even when optical is unusable; (3) every inferred value carries a wider interval the further it sits from direct observation, so the uncertainty is visible rather than buried.
Cloud cover interrupts optical passes; we state gaps explicitly and lean on radar to maintain extent continuity through them.
Outputs are designed to support, not replace, periodic bathymetric survey obligations and dam-safety monitoring regimes, giving an auditable inter-survey record. Processing runs under EU data residency.
We do not claim a dam-safety certification or regulatory seal we do not hold, and we say so. The product feeds the file your engineers and regulators already maintain.
HydroSed is primarily a monitoring and trend product: it closes the multi-year gap between surveys with a near-continuous record and a capacity-loss trajectory. Where inflow and catchment delivery are well observed, it also supports short-range outlook on sediment-load and turbidity events tied to high-flow inputs — always with the uncertainty band attached.
| ATTRIBUTE | HYDROSED · RESERVOIR SEDIMENTATION & QUALITY |
|---|---|
| Primary client | Dam & reservoir operators, critical-infrastructure owners, water utilities |
| Spatial resolution | Per-pixel surface mapping across the reservoir footprint |
| Update frequency | Satellite revisit cycle; radar maintains continuity through cloud |
| Uncertainty | Calibrated prediction interval (conformal, guaranteed coverage) on every value |
| Validation reference | In-situ sediment / turbidity measurements and client bathymetric surveys |
| Delivery | API · GeoTIFF · vector tables · PDF report · SaaS dashboard |
| Integration | SCADA / historian-ingestible feed; standard GIS import |
| Horizon | Inter-survey monitoring and capacity-loss trend; event-scale outlook where inflow is observed |
| Key limitation | Optical cannot see deep/turbid water directly — mitigated by surface-budget inference + radar fusion + wider intervals |
| Compliance relevance | Supports bathymetric-survey and dam-safety monitoring regimes; EU data residency |
This slot is reserved for a completed operator pilot. We do not publish a case study before the work exists. When a pilot closes it will carry the reservoir context, the comparison against that operator's own bathymetric and in-situ data, and the realised interval coverage.
The full comparison protocol, residual tables against in-situ reference, and the inter-survey monitoring spec ship under NDA with every pilot.
Start a pilot See how we validate