WorldView 4 Where Geospatial meets Global Developmentgisconference.gsd.spc.int/images/2016-conf-presentation/DAY1/Session 2/GIS_RS...WorldView 4 : Where Geospatial meets Global Development

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DigitalGlobe Proprietary and Business Confidential

WorldView 4 : Where Geospatial meets Global Development

Abhineet Jain

DigitalGlobe, Singapore


Constellation Continuum……

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DigitalGlobe Proprietary and Business Confidential3

WorldView‐4

Space Launch Complex 3 ‐

Vandenberg AFB

United Launch Alliance Atlas V

Launcher

WorldView‐4


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


Meet WorldView‐4

Orbit: 617 km, 10:30 am sun syncResolution / 0.31 m / PanchromaticSpectral bands: 1.24 m / 4 MultispectralNadir swath: 13.1 kmLine rates: 12k/3k lps

20k/5K lps24k w/MS aggregated in‐track

Global capacity: 640,000 sq km/dayGeolocation spec: 5.0 m CE90 (w/o GCPs)Design life: 7 yearsExpected life: 10‐12 yearsPropellant life: 15‐50 years for 770‐500 kmReliability: Ps ≥ 0.72 @7 years

Mass: 2510 kg (454 kg propellant)Array / battery: 3.75 kW / 312 AhrImage storage: 3.2 TbitsImage downlink: 800 Mbps (695 + EDAC)

Simultaneous w/imaging

LM Heritage BusHigh agility platform

Exelis InstrumentHigh 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 20118

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 20119

1 hectare

• Scouts need to travel to fields to get insights

Dark Spot?

Why so much variability in the fields?


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

43 47 47S, 172 8 13E 23 Feb 201110

1 hectare

Manmade Object

Crops have been harvested.

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Nouméa, New Caledonia

Noumea|30cm|May 2016


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 orthorectification

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 1.2500.750 1.0000.500

Example: Measurement and removal of atmospheric effects over Beijing

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What color is this roof?

DigitalGlobe Proprietary and Business ConfidentialDigitalGlobe Proprietary and Business ConfidentialDigitalGlobe 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 FilhoMaracanãRio 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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SRTM90 meter resolution

SRTM90 meter resolution


DG DTM2 meter resolution

DG DTM2 meter resolution

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DG DSM2 meter resolution

DG DSM2 meter resolution


» 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

DigitalGlobe’s 30 cm Imagery also delivers industry‐leading accuracy

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 byBeijing Institute of Surveying and Mapping Aerial Survey and Remote Sensing

Institute


Global Development

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

ENVIRONMENTAL SUSTAINABIL ITY

FOOD & NUTR I T ION SECUR I TY

HUMAN R I G H T S INFRASTRUCTURE DEVE LOPMENT

L I VE L I HOODS

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Cyclone Winston‐ Damage Assessment

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WorldView 4 Where Geospatial meets Global Developmentgisconference.gsd.spc.int/images/2016-conf-presentation/DAY1/Session 2/GIS_RS...WorldView 4 : Where Geospatial meets Global Development