digital globe presentation for earth observation in the cloud demo day

@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

Shay Har-Noy, Ph.D.@iheartcrowds

geoBIGdata@DigitalGlobe.com