Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry
ABSTRACT An experimental linear mixture modelling using ground spectroradiometric measurements in the Kola Peninsula, Russia has been carried out to create a basis for mapping vegetation and non-vegetation components in the tundra-taiga ecotone using satellite imagery. We concentrated on the ground...
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crcambridgeupr:10.1017/s0032247411000441 2024-03-03T08:42:03+00:00 Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry Mikheeva, Anna Novichikhin, Anton Tutubalina, Olga 2011 http://dx.doi.org/10.1017/s0032247411000441 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247411000441 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Polar Record volume 48, issue 1, page 63-74 ISSN 0032-2474 1475-3057 General Earth and Planetary Sciences Ecology Geography, Planning and Development journal-article 2011 crcambridgeupr https://doi.org/10.1017/s0032247411000441 2024-02-08T08:43:48Z ABSTRACT An experimental linear mixture modelling using ground spectroradiometric measurements in the Kola Peninsula, Russia has been carried out to create a basis for mapping vegetation and non-vegetation components in the tundra-taiga ecotone using satellite imagery. We concentrated on the ground level experiment with the goal to use it further for the classification of multispectral satellite imagery through spectral unmixing. This experiment was performed on the most detailed level of remote sensing research which is free from atmospheric effects and easy to understand. We have measured typical ecotone components, including Cetraria nivalis , Betula tortuosa , Empetrum nigrum, Betula nana, Picea abies and rocks (nepheline syenite). The result of the experiment shows that the spectral mixture is indeed formed linearly but different components have different influence. Typical spectral thresholds for each component were found which are significant for vegetation mapping. Spectral unmixing of ground level data was performed and accuracy was estimated. The results add new information on typical spectral thresholds which can potentially be applied for multispectral satellite imagery when upscaling from high resolution to coarser resolution. Article in Journal/Newspaper Arctic Betula nana Empetrum nigrum kola peninsula Polar Record taiga Tundra Cambridge University Press Arctic Kola Peninsula Polar Record 48 1 63 74 |
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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 Mikheeva, Anna Novichikhin, Anton Tutubalina, Olga Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry |
topic_facet |
General Earth and Planetary Sciences Ecology Geography, Planning and Development |
description |
ABSTRACT An experimental linear mixture modelling using ground spectroradiometric measurements in the Kola Peninsula, Russia has been carried out to create a basis for mapping vegetation and non-vegetation components in the tundra-taiga ecotone using satellite imagery. We concentrated on the ground level experiment with the goal to use it further for the classification of multispectral satellite imagery through spectral unmixing. This experiment was performed on the most detailed level of remote sensing research which is free from atmospheric effects and easy to understand. We have measured typical ecotone components, including Cetraria nivalis , Betula tortuosa , Empetrum nigrum, Betula nana, Picea abies and rocks (nepheline syenite). The result of the experiment shows that the spectral mixture is indeed formed linearly but different components have different influence. Typical spectral thresholds for each component were found which are significant for vegetation mapping. Spectral unmixing of ground level data was performed and accuracy was estimated. The results add new information on typical spectral thresholds which can potentially be applied for multispectral satellite imagery when upscaling from high resolution to coarser resolution. |
format |
Article in Journal/Newspaper |
author |
Mikheeva, Anna Novichikhin, Anton Tutubalina, Olga |
author_facet |
Mikheeva, Anna Novichikhin, Anton Tutubalina, Olga |
author_sort |
Mikheeva, Anna |
title |
Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry |
title_short |
Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry |
title_full |
Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry |
title_fullStr |
Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry |
title_full_unstemmed |
Linear spectral mixture modelling of arctic vegetation using ground spectroradiometry |
title_sort |
linear spectral mixture modelling of arctic vegetation using ground spectroradiometry |
publisher |
Cambridge University Press (CUP) |
publishDate |
2011 |
url |
http://dx.doi.org/10.1017/s0032247411000441 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247411000441 |
geographic |
Arctic Kola Peninsula |
geographic_facet |
Arctic Kola Peninsula |
genre |
Arctic Betula nana Empetrum nigrum kola peninsula Polar Record taiga Tundra |
genre_facet |
Arctic Betula nana Empetrum nigrum kola peninsula Polar Record taiga Tundra |
op_source |
Polar Record volume 48, issue 1, page 63-74 ISSN 0032-2474 1475-3057 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0032247411000441 |
container_title |
Polar Record |
container_volume |
48 |
container_issue |
1 |
container_start_page |
63 |
op_container_end_page |
74 |
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1792497558350725120 |