๐Ÿ“ Methodology

How accurate is this, actually?

An honest breakdown of what's scientifically validated, what's a useful proxy, and when a number needs field verification before you rely on it.

Trends, comparisons, and spatial patterns are highly reliable. Absolute numbers without field calibration are indicative, not laboratory-certified.

Water body size & area

Water extent is detected using NDWI thresholding at Sentinel-2's native 10m resolution โ€” meaning the smallest reliably-detected water feature is roughly a 10m ร— 10m patch.

FactorEffect on accuracy
Shoreline / edge pixelsA pixel that's 50% water, 50% land gets classified as one or the other, not both โ€” this is the main source of boundary error.
Typical accuracy vs. surveyed boundariesยฑ2โ€“5% for a well-defined open lake; worse for narrow rivers or vegetated shorelines.
Reeds / emergent vegetationCan be misclassified as land even when growing in shallow water โ€” undercounts true wet area.
Cloud / haze on the selected dateCan distort the apparent boundary if not fully masked by the cloud filter.

Category 1 โ€” scientifically well-validated

These indices have decades of peer-reviewed field validation behind them. Relative differences (higher/lower, more/less) are trustworthy at face value.

IndexConfidenceWhy
NDVI โ€” vegetation healthHIGHOne of the most validated indices in all of remote sensing.
NDWI / MNDWI โ€” water extentHIGHVery reliable for open water detection under normal conditions.
Nighttime lights (VIIRS)HIGHA direct physical radiance measurement โ€” real data, not a derived proxy.
NDBI โ€” built-up indexMEDIUM-HIGHWell-established, but can confuse bare soil with built-up surfaces.

Category 2 โ€” useful proxies, not calibrated measurements

These indices correlate strongly with the physical property they name, but converting them to a certified lab-grade number (mg/L, NTU, ยตg/L) requires a calibration sample from that specific water body. Treat them as a strong signal for where and when to investigate further, not as a lab result.

IndexConfidenceWhat it actually is
NDTI โ€” turbidityPROXYA spectral ratio that correlates with turbidity โ€” not the same as an NTU reading.
NDCI โ€” chlorophyllPROXYIndicates relative bloom intensity, not a lab-grade ยตg/L concentration.
TSS โ€” suspended solidsPROXYA band-ratio approximation; real TSS in mg/L needs local calibration.
Secchi depthPROXYThe least reliable of the water indices โ€” a statistical estimate, not a physical disk measurement. Can be meaningfully off in unusual water chemistry.
Geology indices (iron, clay, carbonate, evaporite)PROXYSpectral signatures suggesting mineral presence โ€” good for narrowing survey targets, not a substitute for lab mineral analysis.

Sensor resolution โ€” the hard physical limit

No amount of image processing can see detail smaller than the sensor's native pixel size. This sets the ceiling on precision regardless of which index you choose.

SensorResolutionRevisitBest for
Sentinel-210m / pixel~5 daysWater quality, vegetation, shoreline detail
Landsat 930m / pixel~16 daysGeology, large-area built-up trends, long historical baseline
VIIRS DNB500m / pixelNightlyCity-scale nighttime lights, not individual buildings

When to field-verify before relying on a number

โœ… Safe to use directly

Comparing the same location across two dates. Spotting which of several regions is worse/better. Tracking a multi-year trend direction. Screening many candidate sites to prioritise where to actually send a team.

โš ๏ธ Field-verify before relying on it

Regulatory compliance reporting. Legal or insurance evidence requiring certified values. Any decision with safety consequences (drinking water, livestock, swimming advisories). Converting a proxy index to a specific mg/L, NTU, or ยตg/L figure.

This platform doesn't replace a lab or a field survey โ€” it tells you where and when a lab or field survey is actually worth the cost, out of thousands of possible sites and dates.