Lead Detection and Mapping with Reference to Relationships between Scale, Sensor Characteristics, Surface Conditions and Atmospheric Properties

Abstract

During the first two years of the project, empirical studies of scale relationships in the retrieval of sea ice lead statistics have been undertaken, as have modeling investigations of atmospheric influences on the satellite signal. Additionally, we have developed statistical models that describe the scaling properties of leads. The empirical studies have been based primarily on comparisons within and between Landsat and AVHRR imagery, while the atmospheric models have been specific to the AVHRR. Submarine sonar data have been used in the statistical model development. Specific accomplishments to date include: The parameterizations of clouds, haze, and atmospheric chemical constituents in the LOWTRAN 7 radiative transfer model have been reviewed. Atmospheric temperature and humidity profiles for the arctic have been constructed from Soviet ice island data and are being used in the model. Resampling methods have been tested on simulated, AVHRR, and Landsat images, as have the effects of digital enhancements. Procedures for the retrieval of lead statistics have been developed and applied to Landsat imagery successively degraded to more coarse resolutions.

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Document Details

Document Type
Technical Report
Publication Date
Apr 20, 1992
Accession Number
ADA250437

Entities

People

  • E. Ellefsen
  • J. A. Maslanik
  • Joshua A. Key
  • R. S. Stone

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Arctic Ocean
  • Atmospheric Properties
  • Atmospheric Temperature
  • Climate Change
  • Detection
  • Ecology
  • Geometry
  • Heat Energy
  • High Resolution
  • Information Science
  • Low Resolution
  • Measurement
  • Measuring Instruments
  • Optical Properties
  • Radiative Transfer
  • Remote Sensing
  • Surface Properties

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Polar and Arctic Studies

Technology Areas

  • Space