Altimeter Sea Ice Workshop

NOARL's Remote Sensing Branch successfully carried out a demonstration program aimed at extracting sea ice formation from the Geosat altimeter signal. This effort significantly enhanced earlier limited studies done with the GOES-3 altimeter by incorporating the Automated Gain Control (AGC) and...

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Bibliographic Details
Main Author: Hawkins, Jeffrey D.
Other Authors: NAVAL OCEANOGRAPHIC AND ATMOSPHERIC RESEARCH LAB STENNIS SPACE CENTER MS
Format: Text
Language:English
Published: 1990
Subjects:
Ice
Online Access:http://www.dtic.mil/docs/citations/ADA229396
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA229396
id ftdtic:ADA229396
record_format openpolar
spelling ftdtic:ADA229396 2023-05-15T16:37:18+02:00 Altimeter Sea Ice Workshop Hawkins, Jeffrey D. NAVAL OCEANOGRAPHIC AND ATMOSPHERIC RESEARCH LAB STENNIS SPACE CENTER MS 1990-09 text/html http://www.dtic.mil/docs/citations/ADA229396 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA229396 en eng http://www.dtic.mil/docs/citations/ADA229396 Approved for public release; distribution is unlimited. DTIC AND NTIS Flight Control and Instrumentation Snow Ice and Permafrost *SYMPOSIA WORKSHOPS PE63704N WUDN294462 Text 1990 ftdtic 2016-02-22T23:52:57Z NOARL's Remote Sensing Branch successfully carried out a demonstration program aimed at extracting sea ice formation from the Geosat altimeter signal. This effort significantly enhanced earlier limited studies done with the GOES-3 altimeter by incorporating the Automated Gain Control (AGC) and the Voltage Proportional to Attitude (VATT) parameters carried in the real- time data stream. These measures of the return pulse were combined in a ratio form to create an 'ice index,' so that all values less than a cutoff magnitude were characteristics of open water, while all remaining values above were sea ice. The altimeter footprint varies in size, depending on the surface roughness. In extremely smooth cases, the surface area in less than 1 km; in rough examples, it may be 5-7 km in areal extent. So, unless the altimeter footprint is fortuitously sampling a location where only one surface type is present (open water, first-year FY ice, multiyear MY ice, etc.), the altimeter waveform will be a mixture of returns from two or more surface types. In general, excellent results were achieved. Sea ice concentrations by ice type over the experiment area agreed with the surface truth to within 5%. When Fy and MY ice types were combined to give total ice concentration, the agreement was within 2%. Thus, linear unmixing has been shown to be a useful paradigm for extracing ice information from waveform shapes. However, this approach needs further investigation. In particular, the method of choosing end members. (i.e., the mixing polytope) in this effort was subjective. (TTL) Text Ice permafrost Sea ice Defense Technical Information Center: DTIC Technical Reports database
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic Flight Control and Instrumentation
Snow
Ice and Permafrost
*SYMPOSIA
WORKSHOPS
PE63704N
WUDN294462
spellingShingle Flight Control and Instrumentation
Snow
Ice and Permafrost
*SYMPOSIA
WORKSHOPS
PE63704N
WUDN294462
Hawkins, Jeffrey D.
Altimeter Sea Ice Workshop
topic_facet Flight Control and Instrumentation
Snow
Ice and Permafrost
*SYMPOSIA
WORKSHOPS
PE63704N
WUDN294462
description NOARL's Remote Sensing Branch successfully carried out a demonstration program aimed at extracting sea ice formation from the Geosat altimeter signal. This effort significantly enhanced earlier limited studies done with the GOES-3 altimeter by incorporating the Automated Gain Control (AGC) and the Voltage Proportional to Attitude (VATT) parameters carried in the real- time data stream. These measures of the return pulse were combined in a ratio form to create an 'ice index,' so that all values less than a cutoff magnitude were characteristics of open water, while all remaining values above were sea ice. The altimeter footprint varies in size, depending on the surface roughness. In extremely smooth cases, the surface area in less than 1 km; in rough examples, it may be 5-7 km in areal extent. So, unless the altimeter footprint is fortuitously sampling a location where only one surface type is present (open water, first-year FY ice, multiyear MY ice, etc.), the altimeter waveform will be a mixture of returns from two or more surface types. In general, excellent results were achieved. Sea ice concentrations by ice type over the experiment area agreed with the surface truth to within 5%. When Fy and MY ice types were combined to give total ice concentration, the agreement was within 2%. Thus, linear unmixing has been shown to be a useful paradigm for extracing ice information from waveform shapes. However, this approach needs further investigation. In particular, the method of choosing end members. (i.e., the mixing polytope) in this effort was subjective. (TTL)
author2 NAVAL OCEANOGRAPHIC AND ATMOSPHERIC RESEARCH LAB STENNIS SPACE CENTER MS
format Text
author Hawkins, Jeffrey D.
author_facet Hawkins, Jeffrey D.
author_sort Hawkins, Jeffrey D.
title Altimeter Sea Ice Workshop
title_short Altimeter Sea Ice Workshop
title_full Altimeter Sea Ice Workshop
title_fullStr Altimeter Sea Ice Workshop
title_full_unstemmed Altimeter Sea Ice Workshop
title_sort altimeter sea ice workshop
publishDate 1990
url http://www.dtic.mil/docs/citations/ADA229396
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA229396
genre Ice
permafrost
Sea ice
genre_facet Ice
permafrost
Sea ice
op_source DTIC AND NTIS
op_relation http://www.dtic.mil/docs/citations/ADA229396
op_rights Approved for public release; distribution is unlimited.
_version_ 1766027596204605440