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Pattern-based compression of multi-band image data for landscape analysis
This book describes an integrated approach to using remotely sensed data in conjunction with geographic information systems for landscape analysis. Remotely sensed data are compressed into an analytical image-map that is compatible with the most popular geographic information systems as well as free...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2006
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2283275 |
_version_ | 1780955725476921344 |
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author | Myers, Wayne L Patil, Ganapati P |
author_facet | Myers, Wayne L Patil, Ganapati P |
author_sort | Myers, Wayne L |
collection | CERN |
description | This book describes an integrated approach to using remotely sensed data in conjunction with geographic information systems for landscape analysis. Remotely sensed data are compressed into an analytical image-map that is compatible with the most popular geographic information systems as well as freeware viewers. The approach is most effective for landscapes that exhibit a pronounced mosaic pattern of land cover. The image maps are much more compact than the original remotely sensed data, which enhances utility on the internet. As value-added products, distribution of image-maps is not affected by copyrights on original multi-band image data. |
id | cern-2283275 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2006 |
publisher | Springer |
record_format | invenio |
spelling | cern-22832752021-04-21T19:04:32Zhttp://cds.cern.ch/record/2283275engMyers, Wayne LPatil, Ganapati PPattern-based compression of multi-band image data for landscape analysisXXThis book describes an integrated approach to using remotely sensed data in conjunction with geographic information systems for landscape analysis. Remotely sensed data are compressed into an analytical image-map that is compatible with the most popular geographic information systems as well as freeware viewers. The approach is most effective for landscapes that exhibit a pronounced mosaic pattern of land cover. The image maps are much more compact than the original remotely sensed data, which enhances utility on the internet. As value-added products, distribution of image-maps is not affected by copyrights on original multi-band image data.Springeroai:cds.cern.ch:22832752006 |
spellingShingle | XX Myers, Wayne L Patil, Ganapati P Pattern-based compression of multi-band image data for landscape analysis |
title | Pattern-based compression of multi-band image data for landscape analysis |
title_full | Pattern-based compression of multi-band image data for landscape analysis |
title_fullStr | Pattern-based compression of multi-band image data for landscape analysis |
title_full_unstemmed | Pattern-based compression of multi-band image data for landscape analysis |
title_short | Pattern-based compression of multi-band image data for landscape analysis |
title_sort | pattern-based compression of multi-band image data for landscape analysis |
topic | XX |
url | http://cds.cern.ch/record/2283275 |
work_keys_str_mv | AT myerswaynel patternbasedcompressionofmultibandimagedataforlandscapeanalysis AT patilganapatip patternbasedcompressionofmultibandimagedataforlandscapeanalysis |