Comment tirer le meilleur des technologies d’infonuagique pour traiter des TB de données satellitaires afin de créer un fond de cartes satellitaires global. Depuis 2010, Mapbox utilise les technologies proposées par Amazon Web Services afin de créer la meilleure carte globale a haute résolution.

1. Comment Mapbox traite les
données d’imagerie satellitaires
avec AWS
Vincent Sarago
@_VincentS_

2. We make maps*

3. We help you make maps.

4. https://www.mapbox.com/help/how-satellite-imagery-works/
Satellite sources
- Zoom levels 0–8 use de-clouded data from NASA MODIS satellites.
- Zoom levels 9–12 use NASA/USGS Landsat 5 & 7 imagery.
- Zoom levels 13+ use a combination of open and proprietary sources, including Digital Globe for
much of the world, USDA’s NAIP 2011–2013 in the contiguous United States, and open aerial
imagery from Denmark, Finland, and parts of Germany.

5. The Satellite Team

6. Processing at scale
https://blog.mapbox.com/updating-8–2-million-km²-of-high-
resolution-satellite-imagery-b68070bdf4b2

7. Tuiles

8. Raster Data → → Map Tiles
Formats
Projection
NoData
Color
Bands
…

9. Pixelmonster Amazon Web Services
→
Lambda
Elasticache
SQS
SNS
ECS
S3

10. Open Source
+
https://www.mapbox.com/about/open/
+

11. Live basemap update
https://www.mapbox.com/bites/00145/

12. Raster processing using AWS Lambda
github.com/mapbox/rio-tiler
github.com/mapbox/landsat-tiler

13. https://github.com/mapbox/rasterio
https://blog.mapbox.com/tagged/satellite
https://github.com/vincentsarago/simple-rio-lambda
https://github.com/mapbox/ecs-watchbot
https://www.mapbox.com/about/open/

14. Merci
https://www.mapbox.com/jobs/
Vincent Sarago
@_VincentS_

15. Questions ?