Cloud and surface textural features in polar regions
The study examines the textural signatures of clouds, ice-covered mountains, solid and broken sea ice and floes, and open water. The textural features are computed from sum and difference histogram and gray-level difference vector statistics defined at various pixel displacement distances derived fr...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19900062609 2023-05-15T18:16:45+02:00 Cloud and surface textural features in polar regions Welch, Ronald M. Kuo, Kwo-Sen Sengupta, Sailes K. Unclassified, Unlimited, Publicly available Jul 1, 1990 http://ntrs.nasa.gov/search.jsp?R=19900062609 unknown http://ntrs.nasa.gov/search.jsp?R=19900062609 Accession ID: 90A49664 Copyright Other Sources 47 Vancouver, Canada, July 10-14, 1989) IEEE Transactions on Geoscience and Remote Sensing; 520-528 1990 ftnasantrs 2012-02-15T18:35:22Z The study examines the textural signatures of clouds, ice-covered mountains, solid and broken sea ice and floes, and open water. The textural features are computed from sum and difference histogram and gray-level difference vector statistics defined at various pixel displacement distances derived from Landsat multispectral scanner data. Polar cloudiness, snow-covered mountainous regions, solid sea ice, glaciers, and open water have distinguishable texture features. This suggests that textural measures can be successfully applied to the detection of clouds over snow-covered mountains, an ability of considerable importance for the modeling of snow-melt runoff. However, broken stratocumulus cloud decks and thin cirrus over broken sea ice remain difficult to distinguish texturally. It is concluded that even with high spatial resolution imagery, it may not be possible to distinguish broken stratocumulus and thin clouds from sea ice in the marginal ice zone using the visible channel textural features alone. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) |
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Open Polar |
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NASA Technical Reports Server (NTRS) |
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topic |
47 |
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47 Welch, Ronald M. Kuo, Kwo-Sen Sengupta, Sailes K. Cloud and surface textural features in polar regions |
topic_facet |
47 |
description |
The study examines the textural signatures of clouds, ice-covered mountains, solid and broken sea ice and floes, and open water. The textural features are computed from sum and difference histogram and gray-level difference vector statistics defined at various pixel displacement distances derived from Landsat multispectral scanner data. Polar cloudiness, snow-covered mountainous regions, solid sea ice, glaciers, and open water have distinguishable texture features. This suggests that textural measures can be successfully applied to the detection of clouds over snow-covered mountains, an ability of considerable importance for the modeling of snow-melt runoff. However, broken stratocumulus cloud decks and thin cirrus over broken sea ice remain difficult to distinguish texturally. It is concluded that even with high spatial resolution imagery, it may not be possible to distinguish broken stratocumulus and thin clouds from sea ice in the marginal ice zone using the visible channel textural features alone. |
format |
Other/Unknown Material |
author |
Welch, Ronald M. Kuo, Kwo-Sen Sengupta, Sailes K. |
author_facet |
Welch, Ronald M. Kuo, Kwo-Sen Sengupta, Sailes K. |
author_sort |
Welch, Ronald M. |
title |
Cloud and surface textural features in polar regions |
title_short |
Cloud and surface textural features in polar regions |
title_full |
Cloud and surface textural features in polar regions |
title_fullStr |
Cloud and surface textural features in polar regions |
title_full_unstemmed |
Cloud and surface textural features in polar regions |
title_sort |
cloud and surface textural features in polar regions |
publishDate |
1990 |
url |
http://ntrs.nasa.gov/search.jsp?R=19900062609 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Other Sources |
op_relation |
http://ntrs.nasa.gov/search.jsp?R=19900062609 Accession ID: 90A49664 |
op_rights |
Copyright |
_version_ |
1766190604736266240 |