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Risk indicators — available datasets#

The risk-indicators catalog ships the dataset ids below across the three providers. Pass one as the single entry in variables=. The output_kind column tells you the return shape: tabular → a pandas.DataFrame, vector → a pyramids.feature.collection.FeatureCollection.

List them live at any time:

from earthlens.earthlens import EarthLens

EarthLens.list_datasets("risk-indicators")

ThinkHazard! (public, tabular)#

Natural-hazard screening across 11 hazards. Returns one row per hazard with country, admin_code, hazard, hazard_type, level (mnemonic) and level_title. Needs country= (ISO3) or a raw admin_code=.

dataset id output kind description
thinkhazard:flood_river tabular River flood hazard level
thinkhazard:flood_urban tabular Urban flood hazard level
thinkhazard:flood_coastal tabular Coastal flood hazard level
thinkhazard:earthquake tabular Earthquake hazard level
thinkhazard:landslide tabular Landslide hazard level
thinkhazard:tsunami tabular Tsunami hazard level
thinkhazard:cyclone tabular Cyclone hazard level
thinkhazard:water_scarcity tabular Water scarcity (drought) hazard level
thinkhazard:extreme_heat tabular Extreme heat hazard level
thinkhazard:wildfire tabular Wildfire hazard level
thinkhazard:volcano tabular Volcano hazard level
thinkhazard:all tabular All 11 hazard levels for a division

INFORM Risk (public, tabular)#

The composite index and its three dimensions, plus the climate variant. Returns iso3, indicator_id, indicator_score, validity_year. country= filters to one country; omit it for every country.

dataset id output kind description
inform:risk tabular INFORM Risk composite index
inform:hazard_exposure tabular Hazard & Exposure dimension
inform:vulnerability tabular Vulnerability dimension
inform:coping_capacity tabular Lack of Coping Capacity dimension
inform:climate_risk tabular INFORM Climate Change Risk (SSP5 2050)

Global Forest Watch (needs GFW_API_KEY)#

Forest indicators and the GADM admin geometry. Needs country= (ISO3) and a key.

dataset id output kind description
gfw:tree_cover_loss tabular Annual tree-cover loss (ha) by year (UMD/Hansen, canopy ≥ 30%)
gfw:tree_cover_loss_summary tabular Total tree-cover loss (ha) (UMD/Hansen, canopy ≥ 30%)
gfw:admin_boundary vector GADM admin-boundary geometry the indicators are computed over

Country / admin resolution#

ThinkHazard keys its API on numeric division codes, which at country level are the FAO GAUL 2015 ADM0 codes. The catalog ships an ISO3 → code lookup (243 countries) so country="KEN" resolves to division 133. A raw admin_code= bypasses the lookup for a sub-national division.