Active and Passive Remote Sensing of Ice

Abstract

Fully polarimetric scattering of electromagnetic waves from snow and ice is studied with a multi-layered random medium model and applied to interpret experimental data obtained under laboratory controlled conditions such as CRRELEX. The snow layer is modeled as an isotropic random medium. The sea ice is described as an anisotropic random medium due to the nonspherical shape of brine inclusions. The underlying sea water is considered as a homogeneous half-space. The random media in both layers are characterized by three-dimensional correlation functions with variances and correlation lengths corresponding to the fluctuation strengths and the physical geometries of the inhomogeneities, respectively. The strong fluctuation theory is used to calculate the effective permittivities of the random media. The distorted Born approximation is then employed to obtain the covariance matrix which represents the fully polarimetric scattering properties of the snow-ice media. It has been shown that the polarimetric covariance matrix contains more information than the conventional scattering coefficients on the remotely sensed media.

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Document Details

Document Type
Technical Report
Publication Date
Nov 15, 1991
Accession Number
ADA243288

Entities

People

  • Jinau Kong

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Science
  • Electric Fields
  • Electrical Engineering
  • Electromagnetic Fields
  • Electromagnetic Scattering
  • Electromagnetism
  • Electronics
  • Engineering
  • Geography
  • Information Science
  • Jet Propulsion
  • Measurement
  • Radar
  • Remote Sensing
  • Synthetic Aperture Radar
  • Unsupervised Machine Learning

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Atmospheric Remote Sensing.
  • Calculus or Mathematical Analysis

Technology Areas

  • Space