Building footprints hand-labeled by community mapping teams overlaid (in yellow outline) on high resolution drone imagery in Dar es Salaam, Tanzania from the Open Cities AI Challenge dataset.

Segment buildings in African cities from aerial imagery and advance Responsible AI ideas for disaster risk management

Takeaways

An Interactive Intro to Geospatial Deep Learning on Google Colab

Rapidly mapping the extent of Rohingya refugee camps in Bangladesh with drones, cloud optimized geoTIFFs, & deep learning

Imagine

California’s largest wildfire on record (the Thomas Fire in southern CA), 10/2017 to 1/2018. Satellite imagery in false-color composite (SWIR2-NIR-Blue) to visualize active fires and burn scar (red) on vegetation (green) and buildings (grey). Landsat-8 data courtesy of US Geological Survey.
Isle de Jean Charles & its waters, time-lapse 2013 to 2018. Rotated clockwise (north points to the right) & in false color (near infrared, blue, coastal blue) to better contrast vegetation and land (red, gray/white) from water (green, blue, black). Landsat-8 data courtesy of US Geological Survey.
A 2014 short film on Isle de Jean Charles by Emmanuel Vaughan-Lee at Global Oneness Project
Cape Town & its largest reservoir, Theewaterskloof, from Dec 2013 to Jan 2018. Landsat-8 images displayed in false color (Near Infrared-Green-Blue) courtesy of U.S. Geological Survey

Annotated version:

Photo credit: Frans Lanting/Corbis via Smithsonian Mag

“Two billion years ago, cyanobacteria oxygenated the atmosphere and powerfully disrupted life on Earth. But they didn’t know it.

We’re the first species that’s become a planet-scale influence and is aware of that reality. That’s what distinguishes us.”

- Andrew Revkin (@revkin) via Smithsonian

Dave Luo

Writing on tech for climate change, sustainable dev, & planetary health in the Anthropocene. Geospatial ML consultant @GFDRR Labs & making things at anthropo.co

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