Remote sensing of Earth terrain

Earth terrain covers were modeled as random media characterized by different dielectric constants and correlation functions. In order to model sea ice with brine inclusions and vegetation with row structures, the random medium is assumed to be anisotropic. A three layer model is used to simulate a v...

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Bibliographic Details
Main Author: Kong, Jin AU
Format: Other/Unknown Material
Language:unknown
Published: 1987
Subjects:
EARTH RESOURCES AND REMOTE SENSING
Sea ice
Online Access:http://hdl.handle.net/2060/19870008790
id ftnasantrs:oai:casi.ntrs.nasa.gov:19870008790
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19870008790 2023-05-15T18:18:00+02:00 Remote sensing of Earth terrain Kong, Jin AU Unclassified, Unlimited, Publicly available Mar 19, 1987 application/pdf http://hdl.handle.net/2060/19870008790 unknown Document ID: 19870008790 Accession ID: 87N18223 http://hdl.handle.net/2060/19870008790 No Copyright CASI EARTH RESOURCES AND REMOTE SENSING NASA-CR-180196 NAS 1.26:180196 1987 ftnasantrs 2019-07-21T04:24:17Z Earth terrain covers were modeled as random media characterized by different dielectric constants and correlation functions. In order to model sea ice with brine inclusions and vegetation with row structures, the random medium is assumed to be anisotropic. A three layer model is used to simulate a vegetation field or a snow covered ice field with the top layer being snow or leaves, the middle layer being ice or trunks, and the bottom layer being sea water or ground. The strong fluctuation theory with the distorted Born approximation is applied to the solution of the radar backscattering coefficients. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic EARTH RESOURCES AND REMOTE SENSING
spellingShingle EARTH RESOURCES AND REMOTE SENSING
Kong, Jin AU
Remote sensing of Earth terrain
topic_facet EARTH RESOURCES AND REMOTE SENSING
description Earth terrain covers were modeled as random media characterized by different dielectric constants and correlation functions. In order to model sea ice with brine inclusions and vegetation with row structures, the random medium is assumed to be anisotropic. A three layer model is used to simulate a vegetation field or a snow covered ice field with the top layer being snow or leaves, the middle layer being ice or trunks, and the bottom layer being sea water or ground. The strong fluctuation theory with the distorted Born approximation is applied to the solution of the radar backscattering coefficients.
format Other/Unknown Material
author Kong, Jin AU
author_facet Kong, Jin AU
author_sort Kong, Jin AU
title Remote sensing of Earth terrain
title_short Remote sensing of Earth terrain
title_full Remote sensing of Earth terrain
title_fullStr Remote sensing of Earth terrain
title_full_unstemmed Remote sensing of Earth terrain
title_sort remote sensing of earth terrain
publishDate 1987
url http://hdl.handle.net/2060/19870008790
op_coverage Unclassified, Unlimited, Publicly available
genre Sea ice
genre_facet Sea ice
op_source CASI
op_relation Document ID: 19870008790
Accession ID: 87N18223
http://hdl.handle.net/2060/19870008790
op_rights No Copyright
_version_ 1766193861111054336

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