A bathymetric survey tells you the storage you had on the day the boat went out, nothing about the years either side of it. Sediment keeps arriving between surveys, water quality keeps shifting, and mostly you are flying blind through all of it. HydroSed reads surface turbidity, plume dynamics and water-extent change from orbit on a repeating cycle, turning them into a sedimentation and water-quality signal for the gap in between — each value carrying its own quantified uncertainty.
A continuously updated reservoir sediment-and-quality layer fills the gap between costly surveys. Every estimate is bounded by a calibrated interval and benchmarked against in-situ measurements, built to stand up in a dam-safety file rather than sit on a slide.
No measured accuracy percentage is quoted below, on purpose. What sets this apart is that every estimate ships with a calibrated, validated uncertainty band, and the method's blind spots are stated rather than 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 instead of producing a confident wrong answer. The surface signal is benchmarked against in-situ measurements, too. 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 outright. A satellite does not replace a survey boat, and we do not pretend otherwise. So we mitigate it three ways. First, we infer bed accumulation from the surface sediment budget — what the catchment delivers and what settles — calibrated against your bathymetry. Second, we fuse radar-derived water extent and level so storage change is still tracked when optical is unusable. Third, every inferred value carries a wider interval the further it sits from direct observation, which keeps the uncertainty visible instead of buried.
Cloud cover interrupts optical passes. We state the gaps explicitly and lean on radar to keep extent continuity through them.
Outputs are designed to support periodic bathymetric survey obligations and dam-safety monitoring regimes, not replace them, and they give you an auditable inter-survey record. Processing runs under EU data residency.
We do not hold a dam-safety certification or regulatory seal, and we are not going to claim one. What the product does is feed 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 · SCADA-ingestible feed |
| 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, and we are not going to publish a case study before the work actually exists. When a pilot does close, 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