New Features of the Climate Hazard Toolbox: Data Explorer

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💻 I will use this discussion to illustrate features of the toolbox ✨✨

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🧾 Relative Wealth Index

You can now download Facebook Relative Wealth Index, a state-of-the-art data layer illustrating relative standard of living for any city in the low- and middle-income countries. It is created from household surveys, satellite imagery, cellular network data, as well as other data sources using deep learning.

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🧾 Palmer Drought Severity Index (PDSI)

You can now download Palmer Drought Severity Index , a useful data layer for drought monitoring. It uses readily available temperature and precipitation data to estimate relative dryness.

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🧾 Critical Infrastructure Spatial Index (CISI)

Geospatial data on the location of critical infrastructure (CI) are fundamental for risk analyses and disaster management. Taking high-resolution geospatial OpenStreetMap (OSM) data of 39 CI types into account., CISI is a first-of-its-kind globally harmonized spatial dataset for the representation of CI.

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🧾 Urban Heat Island Daytime Index

Using MODIS satellite images to calculate the UHI intensity for over 9500 urban clusters using over 15 years of data, this data layer developed by Yale University is very useful to monitor urban heat island (UHI) intensities of global cities. Note that nighttime index is also available.

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🧾 Urbanization Degree

The Global Human Settlement Layer (GHSL) layer is a useful tool for urbanization classification. It identifies built-up areas from satellite images, census data, and crowd sources.

The classification scheme from Google Earth Engine can bee view here.

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🧾 Global Population (LandScan)

LandScan High-Definition (HD) 2021 is the finest resolution global population distribution data available which represents an ambient population. It is intended to aid in emergency preparedness, recovery missions, risk assessments and site suitability studies. The data source can be viewed here.