Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens
In this paper we introduce the idea of Temporal Mixture Analysis (TMA) for analyzing long sequences of hypertemporal remote sensing imagery. The basis of this approach is spectral mixture analysis, which we adapt from the spectral domain to the time domain. The TMA procedure is demonstrated by apply...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.459.1367 2023-05-15T15:02:26+02:00 Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens Joseph M. Piwowar Derek R. Peddle Ellsworth F. Ledrew The Pennsylvania State University CiteSeerX Archives 1998 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.1367 http://leroy.cc.uregina.ca/~piwowarj/Research/PiwowarPeddleLeDrew97.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.1367 http://leroy.cc.uregina.ca/~piwowarj/Research/PiwowarPeddleLeDrew97.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://leroy.cc.uregina.ca/~piwowarj/Research/PiwowarPeddleLeDrew97.pdf text 1998 ftciteseerx 2016-01-08T06:23:40Z In this paper we introduce the idea of Temporal Mixture Analysis (TMA) for analyzing long sequences of hypertemporal remote sensing imagery. The basis of this approach is spectral mixture analysis, which we adapt from the spectral domain to the time domain. The TMA procedure is demonstrated by applying it to a nine year record of sea ice concentrations in the Northern Hemisphere. We find that endmember fraction images provide a unique summary of spatial arrangements and temporal characteristics of the mapped phenomenon during a specific period and can be used to characterize climatic normals. A key distinction which differentiates temporal mixture imagery from similar images derived through more traditional means is that the data presented are derived from the temporal characteristics of the analyzed phenomenon and not the type of feature present. Text Arctic Sea ice Unknown Arctic |
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description |
In this paper we introduce the idea of Temporal Mixture Analysis (TMA) for analyzing long sequences of hypertemporal remote sensing imagery. The basis of this approach is spectral mixture analysis, which we adapt from the spectral domain to the time domain. The TMA procedure is demonstrated by applying it to a nine year record of sea ice concentrations in the Northern Hemisphere. We find that endmember fraction images provide a unique summary of spatial arrangements and temporal characteristics of the mapped phenomenon during a specific period and can be used to characterize climatic normals. A key distinction which differentiates temporal mixture imagery from similar images derived through more traditional means is that the data presented are derived from the temporal characteristics of the analyzed phenomenon and not the type of feature present. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Joseph M. Piwowar Derek R. Peddle Ellsworth F. Ledrew |
spellingShingle |
Joseph M. Piwowar Derek R. Peddle Ellsworth F. Ledrew Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens |
author_facet |
Joseph M. Piwowar Derek R. Peddle Ellsworth F. Ledrew |
author_sort |
Joseph M. Piwowar |
title |
Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens |
title_short |
Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens |
title_full |
Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens |
title_fullStr |
Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens |
title_full_unstemmed |
Temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, Remote Sens |
title_sort |
temporal mixture analysis of arctic sea ice imagery: a new approach for monitoring environmental change, remote sens |
publishDate |
1998 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.1367 http://leroy.cc.uregina.ca/~piwowarj/Research/PiwowarPeddleLeDrew97.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
http://leroy.cc.uregina.ca/~piwowarj/Research/PiwowarPeddleLeDrew97.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.1367 http://leroy.cc.uregina.ca/~piwowarj/Research/PiwowarPeddleLeDrew97.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766334391094607872 |