WorldView 4 Initial Launch of September 16 Delayed Due to Wildfire - - PDF document

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WorldView 4 : Where Geospatial meets

Global Development

Abhineet Jain DigitalGlobe, Singapore

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Constellation Continuum……

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WorldView‐4

Space Launch Complex 3 ‐ Vandenberg AFB United Launch Alliance Atlas V Launcher

WorldView‐4

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WorldView‐4 – Initial Launch of September 16 Delayed Due to Wildfire

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WorldView‐4 – Successfully Launched on November 11, 2016

https://www.youtube.com/watch?v=4Kt9ppJ0Sw4

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Meet WorldView‐4

Orbit: 617 km, 10:30 am sun sync Resolution / 0.31 m / Panchromatic Spectral bands: 1.24 m / 4 Multispectral Nadir swath: 13.1 km Line rates: 12k/3k lps 20k/5K lps 24k w/MS aggregated in‐track Global capacity: 640,000 sq km/day Geolocation spec: 5.0 m CE90 (w/o GCPs) Design life: 7 years Expected life: 10‐12 years Propellant life: 15‐50 years for 770‐500 km Reliability: Ps ≥ 0.72 @7 years Mass: 2510 kg (454 kg propellant) Array / battery: 3.75 kW / 312 Ahr Image storage: 3.2 Tbits Image downlink: 800 Mbps (695 + EDAC) Simultaneous w/imaging

LM Heritage Bus High agility platform Exelis Instrument High resolution panchromatic + 4 Multispectral bands

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30m GSD of Rakaia River, New Zealand (a la Landsat MS)

43 47 47S, 172 8 13E 23 Feb 2011

8

1 hectare

• Pixels are heavily mixed with

crop and non‐crop

• 30m x 30m sites are too big for

management

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6m GSD of Rakaia River, New Zealand (MR‐HR)

43 47 47S, 172 8 13E 23 Feb 2011

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1 hectare

• Scouts need to travel to fields to

get insights

Dark Spot? Why so much variability in the fields?

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50cm GSD of Rakaia River, New Zealand (VHR, pan sharpened)

43 47 47S, 172 8 13E 23 Feb 2011

10

1 hectare

Manmade Object Crops have been harvested.

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Nouméa, New Caledonia

Noumea|30cm|May 2016

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Enhancing the 30 cm capacity

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Key technologies enable us to use this imagery to create and exploit Geospatial Big Data

Spectral Diversity Surface Reflectance Elevation extraction Country‐scale

• rthorectification

Land use / land cover High‐res Urban Globe Object & feature extraction Crowdsourcing Terrain analytics Predictive analytics Content based search Image Processing Image Mining Analysis

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Beijing (China) ‐ August 12, 2012

0.250 1.250 0.750 1.000 0.500

Example: Measurement and removal of atmospheric effects over Beijing

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What color is this roof?

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DigitalGlobe Basemap 18

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• Using multiple mono images to produce 3D terrain data
• Unclassified 3m LE90 ‘Global Elevation’ data @ 50 cm GSD

Our constellation enables us to extract high‐ quality 3‐D terrain

Estádio Mario Filho Maracanã Rio de Janeiro, Brazil

With multiple mono collection, DigitalGlobe generates 50 cm posting and 3m LE90 3D terrain data

Viewshed Analysis Retrieve Precision 3D coordinate

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SRTM 90 meter resolution SRTM 90 meter resolution

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DG DTM 2 meter resolution DG DTM 2 meter resolution

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DG DSM 2 meter resolution DG DSM 2 meter resolution

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» An independent study compared WorldView‐3 stereo imagery to a highly accurate LiDAR grid to show the vertical accuracy of the WorldView‐3‐derived elevations as better than 15 cm RMSE.

» With global coverage, the satellite industry can now provide LiDAR‐quality elevation models at a scale and speed that is unmatched by other elevation processing technologies

Di Digi gitalGlobe’ lobe’s 30 30 cm cm Im Imagery al also so deliv livers indus ndustry try‐le leadin ing accur accuracy cy

30 cm | Accuracy

http://www.photosat.ca/pdf/garlock‐30cm‐ wv3‐elevation‐accuracy‐report‐mar2015.pdf

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Highlights from 30cm WV‐3 Stereo Images Data Accuracy Report by Beijing Institute of Surveying and Mapping Aerial Survey and Remote Sensing Institute

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Global Development

Imagery, machine learning‐based algorithms, & crowdsourcing to derive population maps

ENVIRONMENTAL SUSTAINABILITY FO O D & NUTRITION SEC URITY H U M A N R I G H T S INFRASTRUC TURE DE VE LO PME NT LIVE LIHOODS

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Cyclone Winston‐ Damage Assessment

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