Active and Passive Remote Sensing of Ice.

During the period August 1, 1986 to January 31, 1987, we have studied the volume scattering effects of snow-covered sea ice with a three-layer random medium model for microwave remote sensing. The strong fluctuation theory and the bilocal approximation are applied to calculate the effective permitti...

Full description

Bibliographic Details
Main Author: Kong, Jin A
Other Authors: MASSACHUSETTS INST OF TECH CAMBRIDGE RESEARCH LAB OF ELECTRONICS
Format: Text
Language:English
Published: 1987
Subjects:
Snow
Ice and Permafrost
Active & Passive Radar Detection & Equipment
*BACKSCATTERING
*ICE
*RADAR CROSS SECTIONS
*REMOTE DETECTORS
*SEA ICE
*BISTATIC DETECTION
VOLUME
SCATTERING
LAYERS
THEORY
SCATTERING CROSS SECTIONS
PASSIVE SYSTEMS
MICROWAVES
VARIATIONS
SNOW COVER
COEFFICIENTS
EMISSIVITY
BISTATIC RADAR
Ice
permafrost
Point Barrow
Sea ice
Online Access:http://www.dtic.mil/docs/citations/ADA179461
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA179461
Description
Summary:During the period August 1, 1986 to January 31, 1987, we have studied the volume scattering effects of snow-covered sea ice with a three-layer random medium model for microwave remote sensing. The strong fluctuation theory and the bilocal approximation are applied to calculate the effective permittivities for snow and sea ice. The wave scattering theory in conjunction with the distorted Born approximation is then used to compute bistatic coefficients and backscattering cross sections. Theoretical results are illustrated by matching experimental data for dry snow-covered thick first-year sea ice at Point Barrow. The radar backscattering cross sections are seen to increase with snow cover for snow-covered sear ice, due to the increased scattering effects in the snow layer. The results derived can also be applied to the passive remote sensing by calculating the emissivity from the bistatic scattering coefficients.

Similar Items