detailed target analyses using high resolution dem and
TRANSCRIPT
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Detailed target analyses using high resolution DEM and WorldView satellite imagery: spatial and spectral fusion
Bill Baugh |DigitalGlobe PD & L| Colorado, USA 08 April 2014
Mt Everest | Digital Elevation Model | 0.5 m | WorldView 2 | 2m | False Color IR Drape
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Mt Everest, Nepal Sediments
Metamorphic Rocks
Qomolangma detachment
Graphic: Searle, et al., 2003
Everest Changtse Lhotse
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DEM + spectral analysis = useful data fusion!
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Outline • Uluru, Australia • Digital Elevation Models (DEM) • Spectral reflectance of rocks • WorldView satellites • Cuprite, USA • Smoke penetration • Rooftops • Sydney, Australia
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Uluru, Australia
4 Uluru, AU | Digital Elevation Model | 2 m | WorldView 1 and 2 | 6 perspectives
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Uluru, Australia
5 Uluru, AU | Digital Elevation Model | 2 m | Hillshade and Elevation Color Gradient
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Uluru, Australia
6 Uluru, AU | Digital Elevation Model | 2 m | WorldView 2 False Color IR Drape
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Uluru, Australia
7 Uluru, AU | Digital Elevation Model | 2 m | WorldView 2 False Color IR Drape
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Uluru, Australia
8 Uluru, AU | Digital Elevation Model | 2 m | WorldView 2 False Color IR Drape
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Uluru, Australia
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Uluru, AU | Digital Elevation Model | 2 m | WorldView 2 False Color IR Drape
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Uluru, Australia
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Legend Conglomerate Arkose Folded Proterzoic sedimentary rocks Igneous and metamorphic rocks Palaeozoic rocks Alluvial sediments
Graphic Source:
Uluru, AU | Geologic Map and Cross Section
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DEM Definitions
•Digital Terrain Model (DTM) = Earth surface without vertical objects.
•Digital Surface Model (DSM) = Earth surface with vertical objects (e.g. trees, buildings).
•Digital Height Model (DHM) = [DSM – DTM] leaving ONLY vertical features.
DigitalGlobe Proprietary. ©DigitalGlobe. All rights reserved. Stereo Satellite Imaging Geometry 12
Satellite Stereo Collection
~ 35 degree forward
~ 35 degree aft
+/- 10 degrees off nadir
•Stereo derived from single pass fore and aft collections.
•Coincident multispectral imagery.
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Aerial Camera axes are parallel.
Satellite Camera axes angled.
Stereo Pairs
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Why Reflectance? radiance vs reflectance
Radiance is what a satellite measures. It is ‘how much energy’. - Things look different when they are brightly or dimly lit. - This is radiance.
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Why Reflectance? radiance vs reflectance
Reflectance is a constant, predictable property of the material. - Reflectance is a ratio. OUT/IN = reflectance - This is reflectance.
In In
Out Out
“Percent of light that is reflected!” 50% 50%
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Light-Matter Interaction
Water Molecule | Light-Matter interaction
The Options 1. Reflect 2. Absorbed as heat
“Spectral scientist wants both”
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Wavelength (um)
WV3 Bands Calcite Kaolinite Blue Tarp Oil
Hyperspectral verses Super-Spectral
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Wavelength (um)
WV3 Bands Calcite Kaolinite Blue Tarp Tarp WV3 Oil
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Hyperspectral verses Super-Spectral
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DigitalGlobe » Overview 19
WorldView-3
Introducing the 1st multi-payload, super-spectral, high-resolution commercial satellite.
Late 2014
8 SWIR + atmospheric correction bands
WorldView bus: High-agility platform
Resolution: .31 meter, < 3.5 m CE90
Instrument: Panchromatic + 8 Multispectral
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ASTER • Multispectral: 10 bands VNIR - SWIR. • Pixels: 15, 30 m. • SWIR failed. CASI/SASI • Airborne Hyperspectral: 186 bands VNIR -
SWIR. • Pixels vary depending on altitude.
WorldView-3 • Multispectral: 16 bands VNIR-SWIR. • Pixels: 1.2, 3.7 m. • CAVIS instrument for atmospheric retrievals.
Sensor Introduction
Expected launch: mid-2014
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300 500 700 900 1100 1300 1500 1700 1900 2100 2300 2500 21
WV-3 and SWIR (Short Wave Infrared)
Landsat 8 (30 m)
ASTER (15/30 m)
WV 2 - 3 (1.2 / 3.7)
WV 3 only
Visible (V)
Iron Rocks Man made Veg Picture
Near Infrared (NIR) Short Wave Infrared (SWIR)
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Hydrothermal Ore Deposit Model
Typical for acid-sulfate systems Note patterns of: Alunite, Calcite, Illite, and Kaolinite. Understanding patterns can help us find the ore deposit!
Graphic Source: Livo, et al., USGS PP 1717
Ore Deposit!
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Hydrothermal Ore Deposit Model
Clay Zones Kaolinite Alunite
Graphic Source: Taranik, et al., 2010.
Zonation aids in predicting location of precious metals.
Hydrothermal Ore Deposit Model
Ore Deposit!
DigitalGlobe Proprietary. ©DigitalGlobe. All rights reserved. Cuprite, Nevada USA | AVIRIS| 3.7 m | WorldView 1 Panchromatic Simulation
Exploitation Panchromatic “WV-1”
DigitalGlobe Proprietary. ©DigitalGlobe. All rights reserved. Cuprite, Nevada USA | AVIRIS| 3.7 m | WorldView 2 Color Simulation
Exploitation True Color “GE-1, WV-2”
DigitalGlobe Proprietary. ©DigitalGlobe. All rights reserved. Cuprite, Nevada USA | AVIRIS| 3.7 m | WorldView 3 SWIR Mineral Index Simulation
Exploitation Mineral Indices “WV-3”
Clay
Carbonates
Mica
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Mineral Ore Extraction Boddington Mine, Australia
Vertical Volume Change
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Vertical Perspective
Mineral Ore Extraction Boddington Mine, Australia
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Smoke Penetration in SWIR • Station Fire, Los Angeles National Forest, CA • Advanced Land Imager (ALI) 03 SEP 2009
“Seeing a better world”
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True color SWIR-6 (2215 nm)
Cloud Cloud
Active Fire
Smoke
Station Fire, Los Angeles, CA | ALI Image | WV3 Simulation | 30 m
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Exploitation SWIR rooftop classification
True Color: R, G, B Rooftop spectral classification
Los Angeles area, California USA | AVIRIS| 3.4 m | WV-3 Roof Spectral Classification
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Sydney, Australia
31 Sydney, AU | Digital Elevation Model | 2 m | WorldView 2 | 50 cm
Vertical Perspective
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Sydney, Australia
32 Sydney, AU | Digital Elevation Model | 2 m | WorldView 2 | 50 cm
Vertical Perspective
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Summary
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• High resolution DEMs can be made from 1+ satellite passes. • DEM resolution (post spacing) near image resolution. • Image-DEM drapes facilitate rock outcrop mapping. • SWIR bands provides information about material type. • Anticipated WV-3 will have ASTER-like SWIR bands at high spatial
resolution, and 0.31 meter panchromatic. • DEM + spectral analysis = useful data fusion:
- Texture - Structure - Vertical and horizontal relationships - Material categories or types - Remote field logistics
Acknowledgements • Chad Bleiler • Chuck Chaapel • Milan Karspeck
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DEM Specifications
Product Accuracy Mapping Precision Very High Precision
Resolution 8 m 4 m 2 m Relative Vertical (LE90) 5 m 2 m 1 m
Absolute Vertical (LE90) 8 m 4 m 2 m
Relative Horizontal (CE90) 8 m 4 m 2 m
Absolute Horizontal (CE90) 10 m 5 m 3 m
The vertical accuracies are based on low to medium relief areas that generally have a slope less than 30%. For rugged areas that have a consistent slope >30%, the values above can be scaled by 1.5.
Source: DigitalGlobe web site “Advanced Elevation Series”