Coastal & Inland Water Quality from Satellite Data
Hyperspectral and multispectral Earth observation for chlorophyll-a, turbidity, CDOM, and harmful algal bloom risk—aligned with blue carbon and coastal MRV programs. Kumi Analytics combines physics-informed indices with machine learning for repeatable, audit-friendly water intelligence.
Discuss Water Monitoring
Why Water Quality Matters for Coastal Carbon and ESG Programs
Coastal water quality is tightly coupled to wetland health, sediment dynamics, and ecosystem stress. Optical water quality indicators help teams detect algal productivity shifts, sediment plumes, and changing light attenuation that can precede visible habitat change.
Satellite-based monitoring scales where in situ sampling cannot—delivering wall-to-wall coverage, consistent revisit, and long archives for trend analysis alongside your carbon and landcover workflows.
Water quality capabilities
Chlorophyll-a & Algal Productivity
Estimate chlorophyll-a and related proxies for phytoplankton biomass to support early harmful algal bloom awareness and seasonal productivity tracking.
Turbidity & Total Suspended Matter
Map sediment and suspended solids plumes from runoff, erosion, or dredging—critical context for mangrove and seagrass systems.
CDOM & Light Attenuation
Assess colored dissolved organic matter as an indicator of organic load and light field changes that affect submerged vegetation and benthic habitats.
Coastal & Estuarine Coverage
Operational monitoring across bays, lagoons, and deltas with methods tuned for optically complex waters common in tropical coastlines.
Time Series & Anomaly Context
Multi-temporal composites and anomaly flags help distinguish weather-driven noise from persistent regime shifts in water optical properties.
MRV-Adjacent Reporting
Structured outputs and documented methodology to sit alongside blue carbon and NbS monitoring evidence chains.
From Multispectral Baselines to Hyperspectral Detail
Sensor-Aware Algorithms for Optically Complex Waters
We combine multispectral baselines (e.g. Sentinel-2) with higher spectral dimensionality where available to improve retrieval stability in turbid and productive nearshore environments:
- Indices and inversions tailored to coastal adjacency effects and bottom reflectance risk
- QA-aware compositing to reduce cloud and sunglint contamination in operational series
- Transparent limitations and fit windows so results are defensible for technical reviewers
Fuse Field, Imagery, and Project Context
Where field campaigns exist, we align satellite retrievals with in situ profiles to tighten uncertainty. Where they do not, we apply conservative defaults and clearly state assumptions.
Operational Cadence
Monitoring frequency is matched to risk: weekly-style composites for bloom seasonality through to quarterly reporting snapshots for program governance.
Benefits for Coastal Programs
Program-Scale Consistency
One analytical spine across water, wetlands, and landcover reduces reconciliation overhead for technical teams.
Earlier Signal of Stress
Optical shifts can precede structural canopy loss—supporting proactive management responses.
Reviewer-Ready Documentation
Method summaries and uncertainty language aligned to how carbon and ESG reviewers evaluate remote sensing evidence.
Bring Satellite Water Quality into Your Workflow
Tell us your AOI, seasonality concerns, and reporting needs—we will propose a monitoring stack and cadence that fits your program.
Discuss Water Monitoring