AGILE GEOINT 3.0
AGILE GEOINT 3.0
AGILE GEOINT 3.0
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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