Detection and identification of Arctic landforms - An assessment of remotely sensed data

The use of remote sensing data to monitor and analyze the arctic environment is examined. Landsat MSS, TM simulated, NS001, Seasat, and airborne radar are employed to investigate the Strand and Dune areas on the Arctic Coastal Plain in Alaska. The Strand area contains landforms associated with perma...

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Bibliographic Details
Main Authors: Dean, Kenneson G., Morrissey, Leslie A.
Format: Other/Unknown Material
Language:unknown
Published: 1988
Subjects:
43
Arctic
permafrost
Alaska
Online Access:http://ntrs.nasa.gov/search.jsp?R=19880042265
id ftnasantrs:oai:casi.ntrs.nasa.gov:19880042265
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19880042265 2023-05-15T14:35:55+02:00 Detection and identification of Arctic landforms - An assessment of remotely sensed data Dean, Kenneson G. Morrissey, Leslie A. Unclassified, Unlimited, Publicly available Mar 1, 1988 http://ntrs.nasa.gov/search.jsp?R=19880042265 unknown http://ntrs.nasa.gov/search.jsp?R=19880042265 Accession ID: 88A29492 Copyright Other Sources 43 Photogrammetric Engineering and Remote Sensing; 54; 363-371 1988 ftnasantrs 2012-02-15T17:34:35Z The use of remote sensing data to monitor and analyze the arctic environment is examined. Landsat MSS, TM simulated, NS001, Seasat, and airborne radar are employed to investigate the Strand and Dune areas on the Arctic Coastal Plain in Alaska. The Strand area contains landforms associated with permafrost and the Dune area is dominated by eolian deposits consisting of large longitudinal dunes. The remote sensing data are compared to baseline geomorphic maps derived from aerial photography. It is observed that the multispectral data are better than the radar data for the detection and recognition of arctic landforms, and the NS001 data provided the highest spatial resolution and correlated well with the high-altitude aerial photography. Other/Unknown Material Arctic permafrost Alaska NASA Technical Reports Server (NTRS) Arctic
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 43
spellingShingle 43
Dean, Kenneson G.
Morrissey, Leslie A.
Detection and identification of Arctic landforms - An assessment of remotely sensed data
topic_facet 43
description The use of remote sensing data to monitor and analyze the arctic environment is examined. Landsat MSS, TM simulated, NS001, Seasat, and airborne radar are employed to investigate the Strand and Dune areas on the Arctic Coastal Plain in Alaska. The Strand area contains landforms associated with permafrost and the Dune area is dominated by eolian deposits consisting of large longitudinal dunes. The remote sensing data are compared to baseline geomorphic maps derived from aerial photography. It is observed that the multispectral data are better than the radar data for the detection and recognition of arctic landforms, and the NS001 data provided the highest spatial resolution and correlated well with the high-altitude aerial photography.
format Other/Unknown Material
author Dean, Kenneson G.
Morrissey, Leslie A.
author_facet Dean, Kenneson G.
Morrissey, Leslie A.
author_sort Dean, Kenneson G.
title Detection and identification of Arctic landforms - An assessment of remotely sensed data
title_short Detection and identification of Arctic landforms - An assessment of remotely sensed data
title_full Detection and identification of Arctic landforms - An assessment of remotely sensed data
title_fullStr Detection and identification of Arctic landforms - An assessment of remotely sensed data
title_full_unstemmed Detection and identification of Arctic landforms - An assessment of remotely sensed data
title_sort detection and identification of arctic landforms - an assessment of remotely sensed data
publishDate 1988
url http://ntrs.nasa.gov/search.jsp?R=19880042265
op_coverage Unclassified, Unlimited, Publicly available
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
Alaska
genre_facet Arctic
permafrost
Alaska
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=19880042265
Accession ID: 88A29492
op_rights Copyright
_version_ 1766308655920054272

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