Presentation by Simon Casey of EUSI about the local tasking possibilities of WorldView-2 and successful image acquisition for agricultural purposes.

1. Large Area Collections With WorldView-2
& The Advantages of Local Tasking
CAPIGI 2011 Simon Casey
Amsterdam, The Netherlands Sales Manager
4 - 6 April 2011 European Space Imaging

2. Presentation Themes…
1. EDAF & Local Tasking
2. The WorldView-2 Satellite
3. Large area collections
4. 8-Band Agricultural Applications
2

3. Background Experience
Established in October 2002 in Munich
In March 2003 EUSI started operating the
German Regional Operations Center (GEROC) for IKONOS
Since April 2010 EUSI is operating the
European Direct Access Facility (EDAF) for WorldView-2
Both facilities
are at the German Aerospace Center (DLR) near Munich
have local tasking, data reception, and processing
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4. The new EDAF at DLR

5. Home of the EDAF
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6. What is Local Tasking?
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7. European Local Tasking
4/13/2011

8. Advantages of Local Tasking
1. Feedback during imaging
planning
last minute information incorporated
into collection plan
2. Real-time weather information
used up to minutes prior to pass
3. Very detailed imaging planning
possible
up to 4 hrs spent per pass to optimize
collection plan
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9. ½ hr prior to pass
cloudy! Automatically
scheduled
cloudy! images
 All images
cloudy!
cloudy!
cloudy!
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10. ½ hr prior to pass
Manually
scheduled
scheduled images
cloud free
 All images
cloud free!
scheduled
cloud free
scheduled
cloud free
scheduled
cloud free
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11. 2. Effect of Real-Time Weather
Average collection results over Europe using different levels
of weather information:
• No weather forecast 30 % good 70 % bad images
• Weather forecast files 50 % good 50 % bad images
• Real-time weather 80 % good 20 % bad images
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12. WorldView-2
WorldView-2 at the Ball Aerospace factory

13. WorldView-2
Launch from Vandenberg AFB 8 October 2009
Full operational capability 4 January 2010

14. WorldView-2
• Very high resolution
•46 cm* panchromatic at nadir
• The most spectral diversity commercially available
•1.84 m* resolution at nadir
•4 standard colors: blue, green, red, near-IR1
•4 new colors: coastal, yellow, red edge, and near-IR2
• Highly accurate geo-location accuracy
• Typically ~5m (depending on terrain)
• High capacity over a broad range of collection types
•16.4 km width imaging swath (wider than any competitor)
•Bi-directional scanning
•Rapid retargeting using Control Moment Gyros
(>2x faster than any competitor)
•2199 gigabits on-board storage
•Frequent revisits at high resolution enabled by higher altitude
•1.1 days at 1 m GSD or less
•3.7 days at 20° off-nadir or less (52 cm GSD)
* Distribution and use of imagery at better than .50 m GSD pan and 2.0 m GSD multispectral is subject to prior approval by the U.S. Government.
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15. Flexible Collection Units
Single shots
– 16 x 16 km
Multiple & long strips (16 km wide)
– Up to several hundreds of km long
– Up to 7 strips next to each other
Arbitrary alignment
– North-South
– East-West
– Diagonal

16. Single Pass Collection Example
Portugal Spain
Area Collected in 5 Strips collected
Single Pass over Portugal /
~10,000 km2 Spain 30 May 2010

17. Single Pass Collection Example

18. CwRS 2010 with WV-2
1 pass collection
9 sites in
Romania
13,800 km2
Very short
collection
windows:
16 – 20 days

19. WorldView-2 Additional 4 Spectral Bands
Band Description
Coastal Band This band supports vegetation identification and
(400-450 nm) analysis, and supports bathymetric studies based upon
its chlorophyll and water penetration characteristics. Also,
this band is subject to atmospheric scattering and will be
used to investigate atmospheric correction techniques.
Yellow Band Used to identify "yellow-ness" characteristics of targets,
(585-625 nm) important for vegetation applications. Also, this band will
assist in the development of "true-color" hue correction for
human vision representation.
Red Edge Band Aids in the analysis of vegetative condition. Directly rela-
(705-745 nm) ted to plant health revealed through chlorophyll production.
Near Infrared (IR) 2 Band This band overlaps the NIR 1 band but is less affected by
(860-1040nm) atmospheric influence. It supports vegetation analysis
and biomass studies.

20. Crop Identification and Acreage Estimation
Field
Boundary
Extraction
Cotton
Wheat
Tomato
Alfalfa
Bare soil
Garlic
Pistachio
Sunflower
Others

21. Agricultural Applications
Quantify human Quantify health of sports Determine premium production
encroachment into wetlands turf and urban forests areas in wine grapes
Dense Vegetation
GVI GVI
Color Index
95-100
90-94
85-89
80-84
75-79
70-74
65-69
60-64
55-59
50-54 Identify irrigation Monitor strawberry Resolve fertility and soil problems
45-49
40-44
35-39
problems in grapes production in avocados
30-34
25-29
20-24
15-19
10-14
5-9
0-4
Bare Soil