Bathymetry of Shallow Coastal Regions Derived from Space-Borne Hyperspectral Sensor

Abstract

Hyperion is a hyperspectral sensor on board NASA's EO-1 satellite. Its spatial resolution is about 30 m with a swath of ~7 Km. Though Hyperion was not designed for ocean studies, its unique spectral configuration makes it especially attractive to study the effectiveness of such kind of sensor for observing complex coastal waters. In this study, Hyperion data over two sites of the Florida coasts were acquired, with one focused on the clear Key West waters, and the other focused on the relatively turbid Tampa Bay waters. From both data sets, water properties and bottom bathymetry were simultaneously derived from atmosphere corrected Hyperion data using a spectral matching technique. More importantly, in the top-to-bottom processing of Hyperion data, there was no use of 'a priori' or ground truth information. For the Key West site, derived bathymetry and water properties were validated with NAVOCEANO CHARTS (active bathymetric LIDAR system) and field measurements, respectively. It is found that the retrieved depths match LIDAR depths very well, indicating significant potential of using hyperspectral satellite sensor for efficient and repetitive observation of shallow coastal regions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 23, 2005
Accession Number
ADA449228

Entities

People

  • Alan Dean Weidemann
  • Brandon Casey
  • Robert A. Arnone
  • Rost Parsons
  • Wesley Goode
  • Zhongping Lee

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Abstracts
  • Accuracy
  • Algorithms
  • Artificial Satellites
  • Atmospheres
  • Bathymetry
  • Coastal Regions
  • Coefficients
  • Detectors
  • Earth Sciences
  • Geography
  • Measurement
  • Optical Properties
  • Optics
  • Regions
  • Remote Sensing

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Image Processing and Computer Vision.
  • Oceanography.

Technology Areas

  • Space