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COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS

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Title: COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS


1
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND
ANALYSIS Brief to Federal Geographic Data
Committee Marine and Coastal Spatial Data
PROJECT OFFICER Capt David B.
Gerlach MARCORSYSCOM PM Intel (703)784-0975 DSN
278 FAX (703)784-0131 gerlachdb_at_mcsc.usmc.mil
TECHNICAL DEVELOPMENT Mr. Rex Lawrence USMC
Project Office NAVSEA, Panama City (850)234-4179 D
SN 436 FAX (850)230-7070 lawrencere_at_ncsc.navy.mil
2
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • Key Points
  • UAV MS sensor system
  • Detects minefields, obstacles,
  • and camouflaged defenses
  • Enhances tactical GIS for situation
  • awareness
  • Proven minefield detection
  • capability
  • Important secondary benefits for
  • environmental characterization,
  • mapping, and assessments

3
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • Exploiting COBRA Data
  • Cataloging and reviewing existing classification
    systems for coastal zones (w/ NOAA and NRL-DC),
  • Developing draft coastal/marine classification
    standards that generalize biological and physical
    interactions,
  • Participating in workshops (FGDC) to implement
    classification standards,
  • Revising the standards as needed, based on
    requirements of C4ISR community,
  • Adapting Multiple Database Integration and Update
    software with coastal rules,
  • Integrating MDBIU with the Topographic
    Production Capability, and
  • identifying locations and partners to test rapid
    population of a coastal database suitable for
    navigation.

4
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • Bridges gap between coastal research advances and
    operational requirements
  • Apply DoD and commercial remote sensing advances
    to
  • Observe meteorological and oceanographic
    parameters
  • Characterize winds, waves, currents, fronts,
    eddies, temperature, chlorophyll, slick, and
    pollution
  • Fill gaps with information from UAVs and AUVs
  • Survey shallow water features
  • Position, depths, obstacles, mines, shoaling
    waves, nearshore currents, plumes, temperature,
    and fluorescence
  • Assimilate data from in situ sensors
  • Mini Drifting Data Buoys
  • Miniaturized Sensors

5
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • Combine and display UAV, AUV, model, and in situ
    data using GIS
  • Evaluate user requirements, environmental
    factors, and current capabilities
  • Identify spatial and temporal scales of
    variability for displayed information
  • Provide appropriate resolution and fidelity for
    product
  • Data collection methods depend on physical and
    biological interactions shaping the coast
  • Optimize collection of data based on resolution
    requirements and environmental conditions
  • Collect, process, and analyze data
  • disseminate intelligence

6
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • Availability of shallow water data to merge
    differs in accordance with coast type
  • Consider interaction of physical and biological
    processes
  • Typical coast types (e.g., Shepard, 1977) might
    include
  • Drowned River Delta Fiord
  • Drumlins Volcanic Fault
  • Wave Erosion Barrier Island
    Cuspate Foreland
  • Mangrove Coral Reef
  • Understanding coast types is necessary to
    characterize beaches
  • Vary aerial and hydrographic survey methodologies
    to provide authoritative representations of
    coastal zone
  • Optimize sensors
  • Extract features

7
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • Date collection, processing, analysis, and
    display
  • Ongoing research topic for areas not accessible
    by survey vessels
  • Non-intrusive (remote sensing based) methods such
    as SHOALS system or vertical photography/imagery
    in combination with water level data
  • Intrusive surveys using AUVS such as REMUS or
    SAHRV
  • Identify sensors and construct a data model
  • Prototype data for use in TDAs, MPAS, and MS
  • Integrate datasets and digital libraries
  • Develop a data dictionary
  • Establish rule sets for conflation, fusion, etc.
  • Development of Multiple Database Integration and
    Update capability for coastal zone

8
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • Developmental tasks
  • Classify littoral areas, determine time, depths,
    location, benchmark heights, maximum water level,
    make immovable structure and location comments,
    etc.
  • Obtain all sources of data (bottom-mounted
    sensors to satellites)
  • Approve value-add methods for aerial and
    hydrographic surveys using AUVs and UAVs
  • Build littoral logical data model
  • Create master database (e.g., create a two-way
    library architecture)
  • Update the baseline products such as nautical
    charts and digital sea-floor grids
  • Validate updated products for general use

9
COBRA
COASTAL BATTLEFIELD RECONNAISSANCE AND ANALYSIS
  • QUESTIONS
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