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<strong>AGILE</strong> <strong>GEOINT</strong> <strong>3.0</strong><br />

The New Game<br />

Jill Smith<br />

Chairman and Chief Executive Officer<br />

June 2010<br />

7/9/2010 DigitalGlobe 1


Trends in Remote Sensing 1<br />

• Historically, imagery was scarce and available to relatively few people<br />

• Today, number of sensors, availability of imagery and variety of tools<br />

are proliferating at unprecedented rate<br />

• However, problems you are trying to solve are becoming more<br />

complex, distributed<br />

• Climate change<br />

• Environmental management, monitoring<br />

• Natural resources management<br />

• Disaster response<br />

• Etc…<br />

• Change is a constant


<strong>GEOINT</strong> <strong>3.0</strong><br />

Key Success Factor: Agility<br />

• Goals of <strong>GEOINT</strong> <strong>3.0</strong>: Enable better, more timely UNDERSTANDING<br />

of challenges; DECISION-MAKING on courses of action;<br />

MEASUREMENT of effects<br />

• Requires <strong>AGILE</strong> collection, analysis, platform and delivery systems<br />

to get the right information and insight rapidly to users when, where<br />

and how they need it<br />

• From Collect..................... to Connect<br />

• From Orientation.............. to Understanding<br />

• From <strong>GEOINT</strong> 1.0 (GIS).... to <strong>GEOINT</strong> <strong>3.0</strong> (Insight)


Power of a Constellation<br />

UP TO 2,000,000 km 2 per day


More Than One BILLION km²<br />

and Counting…..<br />

•2002 •2003 •2004 •2005 •2006 •2007 •2008 •2009<br />

•2010<br />

•24 Million<br />

km²<br />

•43 Million<br />

km²<br />

•43 Million<br />

km²<br />

•45 Million<br />

km²<br />

•57 Million<br />

km²<br />

•87 Million<br />

km²<br />

•267 Million<br />

km²<br />

•241 Million<br />

km²<br />

•500 Million<br />

km²<br />

•Projected


Egypt<br />

DigitalGlobe Proprietary


Reliable Currency and Refresh<br />

30 Day Window at ~º33 latitude<br />

1 2 3 4 5 6 7<br />

More…Accesses<br />

28 total accesses<br />

• Panchromatic Access : 28<br />

• Multispectral Access: 19<br />

• Stereo Access: 22<br />

Better…Collection<br />

7 Intraday revisits<br />

8 9 10 11 12 13 14<br />

15 16 17 18 19 20 21<br />

Faster…Refresh<br />

22 23 24 25 26 27 28<br />

29 30<br />

Results based on 30º off nadir


Power of a Constellation<br />

~150,000 km 2


Real Life Example - Currency<br />

Collection Less Than 24 Hours After Earthquake in Haiti<br />

Event + One Day<br />

Port-au-Prince Cathedral, Collect by WorldView-1, Wednesday January 13th 2010<br />

•7/9/2010<br />

9


Real Life Example - Currency<br />

Collection One Day Later<br />

Event + Two Days<br />

Port-au-Prince Presidential Palace, Collect by WorldView-1, Thursday January 14 th 2010<br />

10


Real Life Example - Refresh<br />

Collection One Day Later<br />

Event + Two Days<br />

Port-au-Prince International Airport, Collect by WorldView-2, Thursday January 14 th 2010<br />

11


Real Life Example - Refresh<br />

Collection Two Days Later<br />

Event + Three Days<br />

Port-au-Prince Cathedral, Collect by QuickBird, Friday January 15 th 2010<br />

12


Real Life Example - Refresh<br />

Collection Two Days Later<br />

Event + Three Days<br />

Port-au-Prince Presidential Palace, Collect by WorldView-2, Friday January 15 th 2010<br />

Constellation Coverage of the Earthquake in Haiti<br />

WorldView-1 January 13 th<br />

WorldView-1 January 14 th<br />

WorldView-2 January 14 th<br />

WorldView-2 January 15 th<br />

QuickBird January 15 th and so on…<br />

13


Local Buildings Destroyed<br />

Port-au-Prince, Haiti - WorldView-1 High Off-Nadir Image Wednesday January 13th 2010<br />

Before<br />

Before<br />

Before<br />

DigitalGlobe’s WorldView-1 High<br />

Off-Nadir Image January 13, 2010<br />

Port-au-Prince, Haiti<br />

Coordinates: 18-32-57 N / 072-20-52 W


3D Model Creation


Improved Spatial Accuracy<br />

with WorldView Satellites<br />

• With Worldview, accuracy<br />

within 4.1 meters, allowing<br />

creation of ortho products/<br />

maps with high positional<br />

accuracy<br />

•WorldView-1 & 2 CE90%<br />

•Certified at 4.1m CE90%<br />

•WorldView-2<br />

Port Botany, Australia<br />

October 20, 2009<br />

•QuickBird CE90%<br />

Radius = 23 m<br />

•DigitalGlobe Proprietary<br />

•16


© DigitalGlobe 2010<br />

Improved Positional Accuracy with<br />

Multiple Collections Over the Same Area<br />

GCP database<br />

automatically generated<br />

from WV class satellites<br />

Multiple sensor bundle adjustment<br />

uses multiple collections of the same<br />

areas and overlapping strips will<br />

reduce the positional errors from 4.1<br />

meters to 1.5 meters, globally without<br />

a need for GCP’s<br />

Error: 4.1M<br />

New error: 1.5M


Understanding – When, Where,<br />

How You Want it<br />

Problem: Put imagery in hands of people in field ASAP<br />

Solution: DG Web Services:<br />

Sample DG Web Services (via Google Earth)<br />

• Map accurate base layer updated<br />

quarterly<br />

• Currency layer updated following<br />

receipt of new imagery within:<br />

• 18 hours (avg)<br />

• 24 hours (worst)<br />

• OPEN access - industry standard<br />

interfaces:<br />

• OGC standard WMS, WMTS,<br />

WCS, WFS


Understanding – When, Where, How<br />

You Want it<br />

20<br />

20


Seconds to Anywhere with DG’s<br />

Next Generation Geospatial Cloud<br />

•DigitalGlobe<br />

Geospatial Cloud<br />

•The imagery you want.<br />

•Faster and easier than ever before.<br />

•DigitalGlobe Proprietary


DG High Performance<br />

(Geospatial) Computing<br />

•Leverage computer<br />

gaming advances<br />

•DGGC-1 HPC Reference Cluster<br />

•30,720 GPU cores, 512 CPU cores<br />

•0.5 PetaFLOP, 3 Petabytes


GPU Case Study:<br />

Port-Au-Prince, Haiti<br />

• 120,000 km 2 of WV-2 imagery acquired post earthquake<br />

• Height map shows terrain relief in a color map, blue is highest terrain<br />

• GPU height extraction process provides a 47X speedup over CPU<br />

•Low<br />

•High


Residential Area Flooded, Mud<br />

Washed Over Green Space and Roads<br />

•More<br />

Change<br />

•Less<br />

Change<br />

DigitalGlobe Proprietary 25


Ruptured Oil Tank,<br />

Oil Spill On the Ground<br />

•More<br />

Change<br />

•Less<br />

Change<br />

7/9/2010 DigitalGlobe Proprietary 26


•DigitalGlobe Proprietary<br />

Building Change Detection Map<br />

•Unchanged<br />

•New<br />

•Demolished


WV2 Adds New Spectral Bands<br />

New spectral bands for better image exploitation


WorldView2 4 New Bands<br />

Coastal<br />

• Atmospheric scattering correction<br />

• Coastal Applications: Bathymetry; Benthic Habitat Mapping<br />

Red Edge<br />

• Map vegetation health<br />

• Vegetation mapping<br />

Yellow<br />

• True Color<br />

• Benthic Habitat Health Monitoring<br />

• Cyano-bacteria mapping<br />

• Better feature identification (shadows vs water)<br />

• Tree Age mapping<br />

NIR2<br />

• Urban Mapping<br />

• Vegetation Mapping<br />

•29


Simple Natural Color<br />

(RGB bands)<br />

© DigitalGlobe 2010


© DigitalGlobe 2010<br />

Enhanced Color<br />

(YBC bands)<br />

Enhanced detailed of 10000 year old Palaeo channels with different Worldview2 band combinations


Submerged Aquatic Vegetation<br />

R,G,B NIR1, R, G<br />

Submerged Aquatic Vegetation (SAV) is clearly visible with this band<br />

combination as chlorophyll in coral reefs and sea grasses has high NIR<br />

reflectance


Bathymetry<br />

R,G,B<br />

C,B,G<br />

•Coastal band along with Blue and Green bands allows for<br />

accurate mapping benthic habitat mapping


Bathymetry<br />

•Deep Reef<br />

Deep<br />

Terrace<br />

Deep Terrace<br />

Linear Reef<br />

•Flats


WV2 for Bathymetry<br />

•97% accurate +/- 1.5 meters<br />

Florida Keys


Feature Extraction –<br />

Automated using 8 Bands<br />

Landuse/Landcover Layer<br />

Water<br />

Railroad<br />

Residential<br />

Feature extraction accuracies >90% with 8<br />

bands, vs 75%, with 4 bands<br />

Greater detail in feature extraction with 8 bands<br />

(e.g. tree classes)<br />

Wetlands<br />

Grass<br />

Recreation<br />

Commercial<br />

Roads and Parking Lots


Even Fine Detail can be<br />

Delivered Quickly<br />

Vancouver BC<br />

37<br />

37


Agility – Understanding<br />

with Speed<br />

Coverage + Currency<br />

Information + Indices<br />

Accessibility<br />

DG Platform


Agile <strong>GEOINT</strong> <strong>3.0</strong><br />

<strong>AGILE</strong> <strong>GEOINT</strong> <strong>3.0</strong> =<br />

SPEED, ACCESSIBILITY, INFORMATION AND INSIGHT<br />

(Change Analysis, Feature Extraction, Bathymetry) …<br />

BETTER, MORE TIMELY<br />

UNDERSTANDING OF CHALLENGES<br />

DECISION-MAKING ON COURSE OF ACTION<br />

MEASUREMENT OF EFFECTS<br />

...ACROSS GOVERNMENT AND ENTERPRISES

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