Dec 10, 2023
Atlas of Human Settlements
Inland Empire, CA, 2023
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Atlas of Human Settlements
Inland Empire, CA, 2023
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“Therefore, as you received Christ Jesus the Lord, so walk in him, rooted and built up in him and established in the faith, just as you were taught, abounding in thanksgiving”- Colossians 2:6-7
Flip flops time!
Collapsed building detections in south-east Turkey following the Feb. 6, 2023 earthquake.
Automated proposals of collapsed buildings are generated by a rubble detector followed by spatial aggregation.
Original images are property of Maxar Technologies, and are made publicly available under the Open Data Program
The Atlas of Human Settlements (AHS) v4.0 is just out!
AHS is built-up basemap of global extent, delivered at 10m spatial resolution and updated annually, with legacy layers going back to 2016. Version 4.0 features many quality improvements and additional raster and vector layers. Check it out in the official Atlas AI website at https://www.atlasai.co/ .
The images show the Built-up Index layer of major cities across the world.
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The Atlas of Human Settlements
AHS is the single most complete global built-up base-map of the world that meets the quality criteria set forth by the Joint Research Center of the European Commission.
It is a collection of geospatial layers reporting the built-up index and built-up surface across the globe.
The images show settlements across Texas, USA. Settlements are aggregates of the built-up base map, at a scale of 0.5 km in this case.
A zoom into Dallas, TX and one further in a suburban areas of Dallas are shown next with the built-up index and built-up surface layers respectively, superimposed.
AHS is produced and maintained by #AtlasAI. To find out more check our website at https://www.atlasai.co/
Automatic built-up detection using the CSL (characteristic-scale, saliency, level) semantic triplet.
The CSL is the result of the structured collapse of a differential area profile vector field computed from the max-tree data structure of a radiometrically reduced image. The example shows a section of Seattle (WA). More on https://lnkd.in/emYcWAB and https://lnkd.in/eRiAUZV
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