Flood evidence for insurance portfolios in Thailand

Screen insured locations against historical flood observations, district terrain and source-dependent evidence, with explicit coverage limits.

Which insured locations need a closer flood review?

Compare your geocoded asset locations with published historical flood extents and record the observation date and source for each match. This produces an evidence shortlist for an underwriter, not a flood probability or premium.

Review workflow

  1. Prepare asset coordinates and an internal policy identifier; keep policyholder details in your own system.
  2. Retrieve historical extents around each asset and inspect observation periods before intersecting geometry.
  3. Add district terrain context and source-dependent flood evidence separately; do not merge historical and recent observations into a single risk score.
  4. Review unmatched assets as unknown coverage, then send the matched evidence and exceptions to an underwriter for validation.

What to produce

An asset-level review sheet with observed overlap, source, observation period, district context and a separate unknown-coverage flag.

Available evidence and its limits
DatasetCoverage and cadenceSources and licencesLimitations
Flood history

Beta

Published UNOSAT observation extents in Thailand

Fixed historical archive

Historical or versioned data; no real-time freshness claim

UNOSAT / United Nations Satellite Centre (Thailand flood extents)
CC BY-SA (UNOSAT; verified in HDX catalog)

A fixed archive of historical satellite flood-extent observations (UNOSAT). It is not a real-time flood map, and absence of an extent is not evidence that an area stayed dry.
Current flood evidence

Experimental

Source-dependent observations in Thailand; BMA feeds cover Bangkok

Source-dependent; checked about hourly

Marked stale after 6 hours; unavailable after 7 days

Floodboard
CC BY 4.0

Bangkok DDS legacy road-flood telemetry
BMA reuse permission (confirmed by the data owner to the operator on 2026-09-27)

Bangkok DDS KlongMap canal water levels
BMA reuse permission (confirmed by the data owner to the operator on 2026-09-27)

Experimental, source-dependent observations (reports, road state, rainfall, water level). Coverage and cadence vary by source; an empty viewport does not mean no flooding.
Terrain

Beta

Thailand district summaries

Static historical elevation model

Historical or versioned data; no real-time freshness claim

Copernicus DEM GLO-30 via Mapterhorn
Copernicus WorldDEM-30 Licence (commercial use permitted)

District-level elevation summaries sampled from Copernicus DEM GLO-30. They are regional context, not parcel or building elevation and not a flood-probability model.
Administrative boundaries

Stable

Thailand

Versioned reference release

Historical or versioned data; no real-time freshness claim

Boundaries: RTSD / UN OCHA COD-AB
CC BY 3.0 IGO

Boundaries are the COD-AB reference set for Thailand. They are a cartographic aid, not a legal or cadastral boundary.

Questions this data cannot answer

The catalog does not supply actuarial loss curves, return periods, predictive hazard probabilities or building-level vulnerability. Historical overlap cannot establish future loss; no match cannot establish safety.

Try a bounded data request

Read-only, no key required, limited to 100 features in the stated viewport. An empty response can indicate missing coverage. Read the response timestamps, sources and status before use.

curl --fail-with-body 'https://api.mapscale.io/v1/public/atlas/layers/terrain?bbox=100.3%2C14.1%2C100.8%2C14.6&limit=100'

Terrain →

Foundation API documentation →

Relevant geographic context

Inspect source-backed public examples

Use these references to inspect source identity, timestamps and limits. They do not establish coverage for every location in your project.

Prepare a pilot with your team

For a portfolio pilot, agree a small, authorized sample of asset coordinates, an observation period and an overlap rule. Review matched, unmatched and missing-source counts with your underwriter before discussing a larger integration.

Scope a data pilot with MapScale →

Workflow documentation by MapScale, using the linked dataset contracts for sources and limitations. Report source discrepancies through our contact channel. Your team remains responsible for domain review and approval.