digital globe presentation for earth observation in the cloud demo day
TRANSCRIPT
@iheartcrowds
Crowdsourcing 2
3,500,000 km2 collected EVERY DAY
13,200,000,000,000 pixels
Last 3 Days
Last 14 Days
Last 3 Months
Heavy Data
Big Data
1900x size of Landsat8
60x size of PlanetLabs
Landsat 8 15m GSD
Average scene size 0.5 GB
Planet Labs Doves3-5m GSD
Equivalent size16 GB
WorldView 30.3m GSD
Equivalent size941 GB
* Planet Labs |http://creativecommons.org/licenses/by-sa/4.0/©Landsat/USGS
Big Data
Geospatial Big Data
Extract information from imagery at scale…
Show me there
Show me where!
13
Show me where…remote dwellings are located
Show me where…all the vehicles are
New Construction
Show me where…all the new construction is
Show me where…there is change
AfterBefore
And what that change is…
Every day we create 2.5 quintillion bytes of data ….
90% of the data in the world has been created in the last two
years alone - IBM
1. Processing TB of high quality multiband imagery requires storage and compute
Cloud based compute platform to move the Compute to the Data
Tier based pricing with Developer friendly tiers to encourage innovation
What are we doing to solve Big Data problems?
2. Selling per km2 “data as an asset” pricing is expensive for large scale extractions
Geospatial Big Data Platform
GBD Storage
GBD Compute
GBD Customer Tools
DigitalGlobe Factory
GBD on AWS
CatalogAPI
WorkflowAPI
DG Factory & Archive
Landsat8in S3
Docker Hub
Developer Community
Fat UDP Pipe
Task Workers
GBD Enabled
App
Algorithm Developers
New Algorithm
Ordering
DG Imagery in S3
Example: California water wasters
-3%
4300 image strips30 TBs of data going back 5 yearsIdentify and quantify rate of water usage
Big Data Approach to water use
NDVI w/thresholdin
g Model
Additional data(county records, water co estimates,…)
Thousands of opportunistic images
