Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats
Abstract Systematic image-classification methods were applied to ALMAZ, ERS-1, and JERS-1 synthetic aperture radar (SAR) and Landsat-TM multispectral satellite images to evaluate the relative information content of the satellite data for discriminating wet tundra habitats in northern Alaska. Results...
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Cambridge University Press (CUP)
1995
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Online Access: | http://dx.doi.org/10.1017/s0032247400013668 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247400013668 |
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crcambridgeupr:10.1017/s0032247400013668 2024-03-03T08:48:10+00:00 Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats Belchansky, Gennady I. Ovchinnikov, Gregory K. Douglas, David C. 1995 http://dx.doi.org/10.1017/s0032247400013668 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247400013668 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Polar Record volume 31, issue 177, page 161-168 ISSN 0032-2474 1475-3057 General Earth and Planetary Sciences Ecology Geography, Planning and Development journal-article 1995 crcambridgeupr https://doi.org/10.1017/s0032247400013668 2024-02-08T08:48:42Z Abstract Systematic image-classification methods were applied to ALMAZ, ERS-1, and JERS-1 synthetic aperture radar (SAR) and Landsat-TM multispectral satellite images to evaluate the relative information content of the satellite data for discriminating wet tundra habitats in northern Alaska. Results suggest that SAR data can be used to concurrently detect a maximum of four or five landcover classes using the methods of this study. Combining two or more SAR images from different satellites improved the detection of some classes, particularly water bodies. Combining full-resolution SAR data with Landsat-TM did not improve the detection capabilities of Landsat-TM alone. Further research is needed to assess other image-classification and SAR data processing methods. Article in Journal/Newspaper Polar Record Tundra Alaska Cambridge University Press Polar Record 31 177 161 168 |
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Open Polar |
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Cambridge University Press |
op_collection_id |
crcambridgeupr |
language |
English |
topic |
General Earth and Planetary Sciences Ecology Geography, Planning and Development |
spellingShingle |
General Earth and Planetary Sciences Ecology Geography, Planning and Development Belchansky, Gennady I. Ovchinnikov, Gregory K. Douglas, David C. Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats |
topic_facet |
General Earth and Planetary Sciences Ecology Geography, Planning and Development |
description |
Abstract Systematic image-classification methods were applied to ALMAZ, ERS-1, and JERS-1 synthetic aperture radar (SAR) and Landsat-TM multispectral satellite images to evaluate the relative information content of the satellite data for discriminating wet tundra habitats in northern Alaska. Results suggest that SAR data can be used to concurrently detect a maximum of four or five landcover classes using the methods of this study. Combining two or more SAR images from different satellites improved the detection of some classes, particularly water bodies. Combining full-resolution SAR data with Landsat-TM did not improve the detection capabilities of Landsat-TM alone. Further research is needed to assess other image-classification and SAR data processing methods. |
format |
Article in Journal/Newspaper |
author |
Belchansky, Gennady I. Ovchinnikov, Gregory K. Douglas, David C. |
author_facet |
Belchansky, Gennady I. Ovchinnikov, Gregory K. Douglas, David C. |
author_sort |
Belchansky, Gennady I. |
title |
Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats |
title_short |
Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats |
title_full |
Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats |
title_fullStr |
Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats |
title_full_unstemmed |
Comparative evaluation of ALMAZ, ERS-1, JERS-1, and Landsat-TM for discriminating wet tundra habitats |
title_sort |
comparative evaluation of almaz, ers-1, jers-1, and landsat-tm for discriminating wet tundra habitats |
publisher |
Cambridge University Press (CUP) |
publishDate |
1995 |
url |
http://dx.doi.org/10.1017/s0032247400013668 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247400013668 |
genre |
Polar Record Tundra Alaska |
genre_facet |
Polar Record Tundra Alaska |
op_source |
Polar Record volume 31, issue 177, page 161-168 ISSN 0032-2474 1475-3057 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0032247400013668 |
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Polar Record |
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31 |
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177 |
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161 |
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168 |
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1792504688378118144 |