Island Mapping: Measuring Urban Footprints with Mapillary & Open Source Tools
summary
Shows how Mapillary images plus Overpass API, Who's On First, osmnx and QGIS turn street photos into extractable features (sidewalks, power lines, signs) and into cell-by-cell urban density from street imagery measures. Projects include 360 helmet cameras in the Galapagos, comprehensive mapping of Avalon on Catalina, the Faroe Islands work including sheep-mounted Street View, and community-led Zanzibar drone and street campaigns. Demonstrates machine learning pixel classification, data layers returned to OpenStreetMap, and practical gaps still needing local participation.
AI-written summary · about
chapters (11)
- 0:00Start
- 3:39Santa Catalina Island
- 5:33Galápagos Islands
- 6:52Faroe Islands
- 10:19Hawaiian Islands
- 13:02Sicily
- 14:58Zanzibar
- 16:14Urbanization
- 16:38Urban footprints
- 17:45Mapping an Island
- 18:20OpenStreetMap
related talks
15mAustralia to Vanuatu: A visual exploration of the mapping challenges in Asia...
10mMapping sidewalks and street furniture with AI and computer vision
22mUnderstanding our cities with FOSS4G
18mMapping reef islands in 3D
13mUsing open source mapping tools to understand indoor navigation routes...
01h 41mOpenStreetWhat? Mapping The World With Open Data
19mHow we leverage AI to build great maps at massive scale
04mUsing OpenStreetMap to create training data