Klimex
No data team required

Climate risk scores for
any coordinate on Earth.

Drop a pin. Get flood exposure, fire history, drought stress, and heat risk — derived from satellite imagery and 30 years of climate data. Instant results. No GIS skills needed.

See example reports

What we analyze

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Vegetation & fire history

5 years of cloud-free satellite passes reveal drought stress trends, canopy loss, fire episode detection, and urban heat signatures — at 10 m resolution, globally.

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Flood exposure, rain or shine

Radar sees through clouds and at night. Klimex detects chronic inundation and acute flood events at your exact coordinates — not from a flood map drawn in 1996.

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30 years of climate context

Temperature trends, precipitation anomalies, vapor pressure deficit, and drought index. Long-term baselines that put today's risk in historical perspective.

How we analyze

Sentinel-2 L2A 10 m · 5-day revisit · optical

Monthly best-scene composites over a 5-year window. Seven bands read from public COG assets on AWS, masked for cloud and snow via the Scene Classification Layer. Six spectral indices computed per scene: NDVI · NDWI · NDMI · NBR · NDSI · BSI. Aggregated to long-term features: vegetation trend, canopy proxy, fire episode detection, bare soil frequency, and surface water persistence.

Sentinel-1 GRD 20 m · 6-day revisit · C-band SAR

VV polarization backscatter read from IW GRD scenes. Water pixels identified by DN threshold calibrated to the sentinel-s1-l1c archive. Flood events detected via an orbit-stratified adaptive threshold (MAD). Snow and steep terrain excluded from water fraction computation. Outputs: chronic inundation frequency, acute flood event count, active flood flag.

TerraClimate 4 km · monthly · 30-year reanalysis

Point extraction via OPeNDAP from the University of Idaho THREDDS server. Five variables: tmax · tmin · ppt · vpd · PDSI. Derived features: maximum temperature trend and anomaly, annual precipitation, high-VPD frequency, and drought month frequency. Grid-cell results cached in DuckDB and shared across nearby queries.

Copernicus GLO-30 30 m · global DEM · terrain

Elevation, slope, and terrain relief extracted from the public Copernicus 30 m DEM on S3. Slope used to mask steep pixels from SAR flood detection. Elevation range used in risk scoring as a topographic flood modifier.

Risk scoring Köppen-weighted · 6 dimensions

All derived features are merged and scored across six climate risk dimensions: drought · wetness · fire · heat mitigation · flood · heat stress. Weights are climate-zone-specific via Köppen classification — a Mediterranean site and a tropical site are not scored the same way. Urban locations receive a canopy-deficit-weighted composite.

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