the power of the cloud & the power of partnerships using satellite imagery in...
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The power of the Cloud & the power of Partnerships
Using satellite imagery in the SDGs: the case of 6.6.1
UN-GGIM Side Event
27 November 2017
Rebecca Moore
Director, Google Earth, Earth Engine & Earth Outreach
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Operating NASA Earth Science Missions
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Earth Observation Data Archives
6 Million Landsat images (1972-2017)
2 Petabytes stored on tapes at USGS
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-Jim Gray (1944-2007)
“Often it turns out to be more efficient
to move the questions than to move
the data.”
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Google Cloud: Data Storage co-located with
Processing
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earthengine.google.com/timelapse
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32 yearsof satellite data
5,000,000
+Landsat scenes analyzed
3quadrillion pixels
2MMore than hours of computation over 66,000 computers
~1.
5Elapsed time: days to build the mosaics
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The Earth Engine Public Data Catalog
> 200 public datasets > 6000 new images every day
> 11 million images > 8 petabytes of data
Our (long-term) mission: Organize all the world's Earth science data
and make it universally accessible and useful, with computation on top.
Today:
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Parallel-processing on thousands of CPUs
Massive scale of
Cloud-computation
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Original Image
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Original Imageis divided into 256px sub-units.
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Sub-units are distributed
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Sub-units are distributedto separate machines where they can be processed in parallel.
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Thousands can be processed
simultaneously.
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Result is reassembled
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Result is reassembledinto a finished image.
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THE BEGINNINGMAIN
Global Forests:Map, Measure, Monitor
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• Earth Engine (time series)
• StreetSmart
Imagery + Compute
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• Earth Engine (time series)
• StreetSmart
Imagery + Compute
654,178Landsat
Scenes
1,000,000Hours of
Computation
700Terapixels
of Data
10,000CPUs
Used
4Days to
Complete
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After citing Global Forest Watch on the floor, the
Philippines House of Representatives approved a new
bill prohibiting the destruction of mangrove forests.
Illegal deforestation in Peru was revealed using GFW’s
monitoring systems.
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Photo: Dibyendu Ash, www.goingwild.com
"This study was made possible by free availability of satellite
imagery, cloud computing services, and interactive web tools.
We were able to analyze 14 years of high-resolution
global forest loss data across 76 landscapes that span 13
countries."
http://advances.sciencemag.org/content/2/4/e1501675.full
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Confidential + Proprietary
Chasing deforestation through the clouds
Lineal deforestation feature growing deep into a
National Forest, identified by ISA in February
using their SIRAD app on ESA Sentinel-1 radar
data in Earth Engine.
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Image credit: New York
Times
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Global-surface-water.appspot.com
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Global-surface-water.appspot.com
3,066,102Landsat
Scenes
10,000,000Hours of
Computation
1,823Terapixels
of Data
10,000CPUs
Used
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Charlemagne at dinner; detail of a miniature from BL Royal MS 15 E vi, f. 155r (the "Talbot Shrewsbury Book"). Held and digitised by the British Library.
Processing 3 million scenes on one
computer would have taken 1,212 yearsProcessing 3 million scenes in
Google’s Earth Engine took 45 days
Start your computer running just after Charlemagne conquers Saxony in 804... leave it running 24 hours a day, 7 days a week and the water maps just might be ready today
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https://www.servirglobal.net/Global/Articles/Article/2527/bringing-the-power-of-google-to-scientists-in-the-lower-mekong
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680Buildings in
Maskelyne
Community
150Currently
Inundated
by High Tide
475Inundated at
High Tide by
2100
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DiSARM: Maps, Machine
Learning & Malaria
Problem: How to prioritize villages for
intervention and resource deployment, e.g.
bed nets?
UCSF and other orgs are using Earth
Engine to generate automated high-
resolution malaria risk maps in Zimbabwe
and Swaziland.
DiSARM’s mobile app can be used by the
malaria programs and field teams to target
interventions. The goal is to make their
monitoring more efficient and effective, and
to eliminate malaria in Swaziland in the
next 3 years.
Current maps used by the National
Malaria Control Program in
Swaziland.
Monthly risk maps generated by the
DiSARM platform, powered by Earth
Engine. UCSF Global Health Group
Learn more at disarm.io
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Rebecca Moore, Google
earth.google.com
earthengine.google.com
earth.google.com/outreach
Thank you!