HYMEX Technology Demonstration Project: DND Hyperspectral Applications

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HYMEX Technology Demonstration Project DND
Hyperspectral Applications

• Jean-Pierre Ardouin, Josée Lévesque
• Workshop on Resource and Environmental Monitoring
  Products
• 24-26 January 2005, Victoria, BC

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Topics

• HYMEX Technology Demonstration Project Overview
• HYMEX/DND Applications

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Defence RD CanadaTechnology Demonstration
Program

• Objective demonstrate technologies fostered by
  Defence RD Canada and Canadian industry within
  the context of real and potential future Canadian
  Forces capabilities, concepts, doctrine,
  operations and equipment.
• Competitive program proposals evaluated on
  military impact, science and technology merit,
  technical achievability and project execution,
  etc
• Project duration typically 3-4 years

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HYMEX TD Objectives(Space-based reflective
HYperspectral iMage EXploitation)

• Demonstrate the military utility of future
  space-based reflective hyperspectral image
  sensors to the Canadian Forces
• Integrate existing algorithms into
  near-operational image exploitation tools.
• Quantify the performance of image exploitation
  tools through a series of experiments.
• Determine military utility of this technology for
  the CF missions based on performance results and
  other analysis.

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HYMEX TD Applications

• Land Applications
• Military Target Detection and Identification
• Terrain Categorization and Mapping
• Water / Coastal Zones and Ocean Applications

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HYMEX TD Schedule

• Project Definition Feb 05
• Senior Review Board Mar 05
• Project Implementation Apr 05
• Exploitation Tools Development
• Experimental Validation of Tools,
• Military Utility Study Sep 08

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Tools Development Task

• Algorithms selection among
• DRDC algorithms and tools
• Commercial tools
• Other government departments tools
• Universities algorithms
• Industry algorithms
• Prepare algorithms for data analysis and
  performance evaluation
• Analyze data with selected algorithms
• Quantify performance
• HSI vs MSI
• Effects of GSD
• Effects of environmental factors, target types,
  background types, etc
• Integrate most interesting algorithms into
  near-operational tools

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Experiments and Data Collection

• Sensors/Data
• Ground ref. data
• Airborne and space-borne hyperspectral imagery
• Space-borne multispectral imagery
• Sites Locations
• Western Sites
• Eastern Sites
• Artic Sites

• Type of Sites
• Military bases
• Civilian sites
• Type of Experiments
• DRDC led experiments
• Participation in trials of opportunity

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Exploitation Plan

• Each project under DRDC Technology Demonstration
  Program must define an Exploitation Plan
• Exploitation process aimed at
• Identifying DND beneficiary communities
• Identifying project exploitable results
• Developing of an exploitation plan describing
  strategies and tactics to transition project
  deliverables to beneficiary communities
• Exploitation Manager selected from beneficiary
  organization having greatest interest in the TDP
  project
• For HYMEX TD this will probably be the CF Mapping
  and Charting Establishment

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HYMEX and HERO Application Development Program

• Many similar products
• reflectance, water, vegetation, surface coverage,
  etc
• Some differences (e.g. HYMEX applies to many
  sensors with varied GSD)
• Possible collaboration opportunities

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Water/Coastal Zones and Ocean Applications

• Experimental Sites
• Main Site West coast (around Vancouver Island)
• Secondary Sites East coast, Artic (Baffin
  Island, Beaufort)

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Land Applications
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CF Trafficability Model

• Model status operational at CFB Gagetown
• Based on UNB Forest Hydrology Model (ForHyM2)
• ForHyM2 inputs air ground T, soil type, amount
  of P, wind speed direction.
• ForHyM2 output simulated soil moisture content
• Trafficability model uses ArcView GIS 3.2
• Input ForHyM2 output
• Output map of soil rating cone index for
  selected vehicle with 4 classes
• (1) wet (2) 1 pass (3) caution (4) 50
  passes
• Model includes road soil type, topography,
  drainage system an algorithm to convert ForHyM2
  output into soil moisture content for the various
  soil type
• Can enter forecast up to 2 weeks ahead
  (significant rainfall would decrease the
  probability)
• Model also use as an environmental check tool
• Avoid erosion by vehicles when soil is too wet
• Promote environmentally sustainable training
  exercises

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CF Trafficability Model

• Objective Improve CF trafficability model using
  HS data products
• How?
• Use HS data products on vegetation, soil,
  wetlands, to derive above-ground trafficability
  resistance
• Develop a composite index that will combine both
  above-ground and soil trafficability restrictions
• Benefits
• Will add precision to the model
• Will add new considerations to trafficability
  timing and location (e.g. avoiding areas of high
  value forest, fire-hazard forest, erosion prone
  soil)

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Impulse Noise Propagation Model (INPM)

• Model status operational (CFB Gagetown others)
• Inputs
• DTED
• Buffer file with ATM column (T, Precip.,
  Pressure, Ceiling height)
• Source location of noise
• Type of weapon used
• Output
• Decibel contour map updated every 12 hours (can
  predict up to 48 hours)
• Model use to validate complains from nearby
  residents predict best times to fire

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Impulse Noise Propagation Model (INPM)

• Objective Improve the INP model using HS data
  products
• How?
• Develop conversions between HS derived terrain
  data (e.g. vegetation parameters, wetlands types)
  and acoustic flow resistivity
• Validate the model by recording acoustic
  signature from a variety of detonation events at
  several distances simultaneously as the sound
  travels over mixed terrain.
• Benefits
• Input of precise terrain cover will increase the
  accuracy of the model in situation of significant
  geographic or seasonal variability

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Ecologically Sustainable Military Training Site

• CF Bases must now monitor their training areas to
  ensure ecologically sustainable training
• 14 environment indicators were recommended for
  use to monitor ecosystem conditions
• All indicators must meet the acceptable value or
  action must be taken to bring it back to this
  level
• 8 indicators are currently derived from SPOT or
  Landsat imagery

• Change in amount of healthy mixed prairie grass
  cover
• Change in amount of medum health mixed prairie
  grass cover
• Change in amount of poor health mixed prairie
  grass cover
• Change in amount of bare ground land area

• Change in amount of coniferous tree cover
• Change in amount of riparian, bog, and marsh
• Change in the amount of burnt area cover
• Change in amount of leafy spurge cover

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Ecologically Sustainable Military Training Site

• Objective Improve the definition of the
  environmental indicators
• Benefit
• Better indicator classes definition (broken down
  into smaller habitats) will help to focus
  restauration