Unique ID: WB6

Division: Transport and ICT
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Predicting vulnerability to flooding and enhancing resilience using big data

Predicting vulnerability to flooding and enhancing resilience using big data

SDG: 01 - No Poverty02 - Zero Hunger11 - Sustainable Cities & Communities13 - Climate Action

The proposed activity draws from modeling data readily available on the Google cloud platform, including elevation, satellite imagery, and census data to dynamically refine a surface of risk within a flood prediction zone produced by weather services. The research aims at better identifying the population most at risk in case of flood, based on geographical and socio-economic data, in order to better define emergency/DRM planning.

Project Sources
Project Sources
Type Of Institution: international organization
Region: South Asia
Country Area: Bangladesh
Id Country Regional: country
SDG Indicators
SDG Indicators
SDG Comments: 1.5, 2.4, 11.5, 11b, 13.1
SDG: 01 - No Poverty02 - Zero Hunger11 - Sustainable Cities & Communities13 - Climate Action
Other
Other
Income Level: Lower-middle-income
Iso: BD
Timeframe To Produce Indicator: NA
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