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Mapping the Poles

Mapping the Poles

Brad Herried, Lead Cartographer & GIS Developer
The Polar Geospatial Center (PGC)
@herried
@polargeospatial
#nacis2015

Nathaniel V. KELSO

October 14, 2015
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  1. Mapping the Poles.
    Brad Herried, Lead Cartographer & GIS Developer
    @herried
    @polargeospatial
    NACIS 2015
    Geographic Data Collections
    Day
    October 14, 2015
    The Polar Geospatial Center (PGC).

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  2. About me.
    B.A. Cartography & GIS, University of Wisconsin (2008)
    Masters of GIS, University of Minnesota (2010)
    Graduate Assistant, Polar Geospatial Center (2008-2010)
    Research Fellow, Polar Geospatial Center (2010-present)
    Roles & Responsibilities
    •  Cartography & Logistics Mapping
    •  User Support & Special Projects
    •  Web Services Administration
    •  GIS Application Developer

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  3. About the Polar Geospatial Center.
    Founded in 2007 as the Antarctic Geospatial Information Center (AGIC)
    Funded by National Science Foundation (NSF) cooperative
    agreement
    Sub-awards from NASA, U.S. FWS, others
    In 2010 added support for Arctic, evolved into the Polar Geospatial
    Center
    Currently 10 staff, several graduate & undergraduate students
    Home institution is the University of Minnesota on the St. Paul Campus
    Mission of PGC
    •  Provide GIS, mapping, and remote sensing support to NSF-funded
    polar researchers and logistics contractors
    •  In short, solve geospatial problems at the poles

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  4. Our Users.
    Span gamut of GIS expertise.
    •  Principal Investigators & research groups
    •  Field site planning (reconnaissance mapping)
    •  Real-time awareness
    •  Advanced remote sensing
    •  Logistics Contractors
    •  Fixed-wing aircraft, helicopter, and vessel operations
    •  Safety, safety, safety!
    •  Masses
    •  Reference maps & base layers
    •  Web mapping services & applications

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  5. Unique Geographies = Unique Problems
    HOW TO MAP THE POLES?

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  8. Palmer Station, Antarctica.
    Images from USAP, BAS

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  9. Amundsen-Scott South Pole Station, Antarctica.
    Images from USAP Photo Library

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  10. McMurdo Station, Antarctica.
    Image from Antarctic Sun (USAP)

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  11. Logistics.
    Image from USAP Photo Library

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  12. Logistics.
    USAP Fixed-Wing Landing Site Map

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  13. Logistics.
    Image from USAP Photo Library

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  14. Logistics.
    Image from PGC; imagery © 2015 DigitalGlobe, Inc.

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  15. Logistics.
    Image from USAP Photo Library

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  16. Logistics.
    South Pole Traverse (SPoT) Daily Update Maps

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  17. The Hard Problems.
    The polar regions are, put simply, different.
    •  Lack of historic maps
    •  Lack of (quality) fundamental GIS data & imagery
    •  Map projections (ugh.)
    •  No centralized mapping agencies
    •  Massive geographic footprint
    •  Remote, isolated, dangerous

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  18. But, somewhere around 2009...
    “What would you do if you had
    access to an unlimited archive
    of commercial satellite
    imagery?”

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  19. Commercial Satellite Imagery.
    Value of high-resolution commercial imagery.
    •  Spatial Resolution
    •  Temporal Resolution
    Challenges with high-resolution commercial imagery.
    •  Image size and volume
    •  File formats (especially from U.S. Government sources)
    •  Clouds, fog, and darkness
    •  Bit depth and radiometric correction
    •  Projection and terrain correction
    •  Cost ($$$)

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  20. WorldView-2
    GeoEye
    QuickBird
    IKONOS WorldView-3 WorldView-1
    DigitalGlobe Satellite Constellation.

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  21. DigitalGlobe Satellite Constellation.
    Figure from DigitalGlobe, Inc.; images from Apollo Mapping

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  22. imagery © DigitalGlobe, Inc.
    Sisimiut, Greenland.

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  23. imagery © DigitalGlobe, Inc.
    Some ice stream, Antarctica.

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  24. Image courtesy Dan Costa, UC Santa Cruz
    Emperor Penguin Colony, Antarctica.

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  25. Imagery © DigitalGlobe, Inc.
    Edward VII Peninsula Penguin Colony, Antarctica.

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  26. imagery © 2009 DigitalGlobe, Inc.
    Bull Pass Camp, McMurdo Dry Valleys, Antarctica.

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  27. imagery © 2009 DigitalGlobe, Inc.
    Bull Pass Camp, McMurdo Dry Valleys, Antarctica.

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  28. PGC, NSF, and NGA.
    The National Geospatial-Intelligence Agency (NGA)
    licenses DigitalGlobe, Inc. imagery for U.S. government
    purposes.
    •  PGC is the largest civilian user of commercial satellite
    imagery
    •  Unique but mutually-beneficial relationship with NGA
    •  Access point for U.S. federally-funded researchers
    •  October 2015:
    5,500,000+ unique scenes
    2.4+ petabytes (1.7 petabytes online)
    ~30 new terabytes/week
    •  PGC fundamentally changed its focus

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  29. Unique Data = Unique Problems*
    WHAT TO DO WITH PETABYTES OF
    COMMERCIAL SATELLITE IMAGERY?
    *opportunities, right?

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  30. WorldView-2: A Geochemical Tool
    •  Pyroxene, a mineral common
    in volcanic rocks, exhibits
    diagnostic spectral signatures
    at infrared wavelengths.
    •  These diagnostic signatures
    can be measured and mapped
    using orbiting spectrometers,
    such as WorldView-2.
    •  The WorldView-2 near-infrared bands can
    measure the strength and slope of the limb
    of the 1 µm pyroxene crystal field absorption.
    •  Variations in the strength of this feature are
    linked to variations in pyroxene abundance.
    M. R. Salvatore & J. W. Head, Brown University
    Crystal field absorptions, due to Fe2+ in
    the M2 crystallographic site in pyroxenes.

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  31. WorldView-2: A Geochemical Tool
    •  With a spatial resolution of 1.8 m
    pix-1, WorldView-2 is able to
    map localized changes in the
    strength and abundance of
    pyroxene.
    •  In Victoria Valley, the
    Basement Sill of the
    Ferrar Dolerite is
    exposed, showing
    variations in the
    distribution and
    abundance of pyroxene.
    OPX-Poor OPX-Rich
    The distribution of
    these signatures provides
    information regarding the
    magmatic evolution of the
    Ferrar Dolerite.

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  32. Remote Compositional Analysis
    of the Transantarctic Mountains
    Mark Salvatore1, Spencer Niebuhr2, Paul Morin2
    1Arizona State University, 2Polar Geospatial Center, University of Minnesota
    NSF Award No. 1414378, EAGER: Surface Variability and Spectral Analyses of the Central
    Transantarctic Mountains, Antarctica

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  33. Relative Spectral Variability
    (RSV)
    •  RSV parameters are designed to
    highlight compositional diversity
    using limited data.
    •  Combined into the same red,
    green, blue color combination:
    –  Red: A measure of the strength of the
    1000 nm absorption feature, which is
    due to octahedrally coordinated Fe2+ in
    mafic minerals (e.g., pyroxene, olivine)
    –  Green: A measure of the inflection near
    546 nm, due to an Fe3+ charge-transfer
    absorption and commonly dominates
    stained sedimentary lithologies
    –  Blue: An inverse measure of the
    inflection near 478 nm, which is
    common in coarse-grained igneous and
    metamorphic lithologies
    •  Same RGB color combination
    allows for easy comparisons

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  34. Thanksgiving Point, VIS

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  35. Thanksgiving Point, RSV
    Mafic units
    (dolerites?)
    Less oxidized Intruded Unit
    (granitic?)

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  36. Mapping Photosynthetic
    Materials in Taylor Valley
    •  Biological “hot spots” can
    be identified by mapping
    the photosynthetic “red
    edge” across a landscape.
    •  Only possible using multi-
    spectral data with high
    spatial resolution.
    •  Repeat measurements can
    be used to track the
    migration and evolution of
    these ecosystems as the
    local hydrologic cycle
    changes.
    500 m 500 m

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  37. Orthomosaics.
    Antarctic 50cm Panchromatic Imagery Mosaic

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  38. Orthomosaics.
    Arctic 50cm Panchromatic Imagery Mosaic (cutlines overlain)

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  39. Orthomosaics.
    Arctic 50cm Panchromatic Imagery Mosaic (Alaska)

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  40. Putting it all together.
    Leverage open-source and commercial software and tools.
    •  Storage: cheap, fast, replaceable
    •  Compute: desktop, cluster, HPC
    •  Cataloging: index footprints, metadata, renaming
    •  Processing: orthorectification, projecting, file
    conversions
    •  Productization: mosaics, DEMs, maps
    •  Distribution: FTP, web services
    •  Automate, automate, automate

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  41. The Next Big Thing.
    WHY DON’T WE JUST COLLECT
    ALL THE IMAGERY IN STEREO?

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  42. Stereophotogrammetric Digital Elevation Models.
    Photogrammetric techniques
    applied to commercial imagery
    •  Software: ASP, SETSM
    •  Very computationally
    intensive
    •  Elevation models ±4m
    without ground control
    •  Quality compares to LiDAR,
    without the cost of LiDAR
    •  PGC leading partnership
    for the ArcticDEM project
    Image from DigitalGlobe, Inc.

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  43. North Slope, Alaska. 2 meter DEM.

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  44. Iceland. 2 meter DEM.

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  46. Global Stereo Imagery Coverage.

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  47. Summary. PGC’s “Geographic Data Collection.”
    What?
    How much of it?
    Where?
    For Who?
    Why is this important?
    High-resolution, commercial satellite imagery;
    derived products such as elevation models,
    mosaics, or map products
    Petabytes… and growing
    Complete coverage of Antarctica and the Arctica;
    global archive increasing; perpetual acquisitions
    United States federally-funded (polar) researchers
    Established a connection to advance science
    through a U.S. government resource; innovation
    and automation for a relatively small cost

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  48. Brad Herried
    [email protected]
    Polar Geospatial Center, University of Minnesota
    @herried
    @polargeospatial
    Thank you!
    Questions?

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