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
Description
Summary: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.

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