I-Resilience Will Supply Weather And Disaster Data Through ESRI Japan's ArcGIS
I-Resilience Inc., a Tokyo company working on disaster prevention DX, has signed a distributor agreement with ESRI Japan Corporation and will provide its weather and disaster prevention data to municipalities and companies through ArcGIS.
1 source 1h ago
Reporting from 1 source: ASCII.jp.
Why it matters
The agreement moves rainfall and snow risk data into the mapping environment municipalities and companies already use for business decisions, which is the part that decides whether the information gets consulted at all.
Key Facts
- I-Resilience Inc. concluded a distributor agreement with ESRI Japan Corporation.
- I-Resilience will provide weather and disaster prevention data usable with ArcGIS.
- The data includes heavy rain rarity information and snow accumulation weight information based on National Research Institute for Earth Science and Disaster Resilience research.
- Provided rarity figures cover 1.5-hour half-life effective rainfall, 72-hour half-life effective rainfall, and 24-hour cumulative rainfall.
- I-Resilience also supplies an overlay of the Japan Meteorological Agency's Kikikuru with heavy rain rarity information.
The data includes heavy rain rarity information and snow accumulation weight information based on National Research Institute for Earth Science and Disaster Resilience research, and an overlay of the Japan Meteorological Agency's Kikikuru with heavy rain rarity.
Heavy rain rarity expresses how many years apart the observed precipitation amount occurs in a given region. I-Resilience supplies three cuts of it: 1.5-hour half-life effective rainfall for localized sudden rain, 72-hour half-life effective rainfall for sediment disasters from prolonged rain, and 24-hour cumulative rainfall for river and flood risk from continuous rain.
A second product overlays the Japan Meteorological Agency's Kikikuru risk distribution on the rarity data, so users can see the current danger level and how unusual the rainfall is for that region side by side, and set response priorities from that pair. The company framed the arrangement around a practical gap: weather and hazard information has to be cross-checked against business map data, and that needs an environment where multiple layers sit together.
Written with AI by Yomimono from the 1 cited source below, including Japanese-language reporting where cited. See our editorial policy.
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Sources
- ASCII.jp Iーレジリエンスの気象・防災データをArcGISで提供開始