Talisman-Saber 2009 Remote Sensing Experiment

Abstract

This report describes the data collected during one of a series of NRL remote sensing and calibration and validation (Cal/Val) campaigns, providing data and information for the development of models of coast types and their associated environmental factors for use in rapidly processing hyperspectral imagery (HSI) and generating shallow water bathymetric charts and trafficability maps. This report documents data that was collected during a remote sensing campaign that was conducted from May 18 to 29, 2009 at the Shoalwater Bay Training Area (SWBTA) located in Australia along a tropical stretch of the Queensland coast. Airborne collections from the HyMap (trademark) sensor were used to build shallow water bathymetric charts and trafficability maps that were provided to military planners during Exercise Talisman-Saber 2009, which was conducted primarily in Australia and surrounding waters from July 13 to 16, 2009. This report details both the airborne HyMap imagery collected as well as the ground and water spectral and geotechnical data collected to calibrate and validate the products developed in support of the exercise.

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Document Details

Document Type
Technical Report
Publication Date
Mar 30, 2012
Accession Number
ADA559586

Entities

People

  • C. R. Nichols
  • Carl Gross
  • Charles M. Bachmann
  • Chris Parrish
  • John C. Fry
  • Jon Sellars
  • Marcos J. Montes
  • Robert A. Fusina
  • Rong-rong Li
  • Stephen E White

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Counter WMD
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Bearing Strength
  • Civil Engineering
  • Department Of Defense
  • Drops
  • Geographic Information Systems
  • Geography
  • Global Positioning Systems
  • Hyperspectral Imagery
  • Measurement
  • Metal Matrix Composites
  • Military Research
  • Operating Systems
  • Ridges
  • Soil Tests
  • Terrain
  • United States Pacific Command
  • Warfare

Readers

  • Coastal Oceanography
  • Image Processing and Computer Vision.
  • Oceanography.