Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery
Northern boreal forests are characterized by open stands whereby trees, understory background, and shadow are all significant components of the spectral response within a pixels’ spatial footprint. To overcome this mixed pixel problem, accurate spectral characterization of these (endmember) componen...
Published in: | Canadian Journal of Remote Sensing |
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Taylor & Francis Group
2023
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Online Access: | https://doi.org/10.1080/07038992.2023.2216312 https://doaj.org/article/f219cb5ae80b4ead93ded827ea1c3133 |
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ftdoajarticles:oai:doaj.org/article:f219cb5ae80b4ead93ded827ea1c3133 2024-02-04T10:03:21+01:00 Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery Jurjen Van der Sluijs Derek R. Peddle Ronald J. Hall 2023-01-01T00:00:00Z https://doi.org/10.1080/07038992.2023.2216312 https://doaj.org/article/f219cb5ae80b4ead93ded827ea1c3133 EN FR eng fre Taylor & Francis Group http://dx.doi.org/10.1080/07038992.2023.2216312 https://doaj.org/toc/1712-7971 1712-7971 doi:10.1080/07038992.2023.2216312 https://doaj.org/article/f219cb5ae80b4ead93ded827ea1c3133 Canadian Journal of Remote Sensing, Vol 49, Iss 1 (2023) Environmental sciences GE1-350 Technology T article 2023 ftdoajarticles https://doi.org/10.1080/07038992.2023.2216312 2024-01-07T01:41:03Z Northern boreal forests are characterized by open stands whereby trees, understory background, and shadow are all significant components of the spectral response within a pixels’ spatial footprint. To overcome this mixed pixel problem, accurate spectral characterization of these (endmember) components is necessary for spectral mixture analysis (SMA) to generate forest classifications at the species level. Obtaining these endmember spectra in the field, however, can be difficult or impossible. This study examined whether image endmember spectra can be identified using forest inventory information to derive dominant tree species classifications. This was tested using multiple-endmember SMA (MESMA) and single- and multi-date Landsat imagery of a forested area in the Northwest Territories, Canada. Image classifications (n = 80) were generated based on 20 image-date combinations and four unmixing models. Accuracies of 80% and 82% were achieved for open and medium dense forest stands, respectively using multi-date imagery, which outperformed single-date imagery acquired at peak phenology. The overall accuracy is 72%; lower due to challenges in very open stands. The multi-date MESMA approach was robust for both compositionally pure and mixed stands. The approach merits further investigation, particularly within the context of the increasing availability of regional-scale satellite imagery enabling composite time-series and spectral-temporal image features. Article in Journal/Newspaper Northwest Territories Directory of Open Access Journals: DOAJ Articles Canada Northwest Territories Canadian Journal of Remote Sensing 49 1 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English French |
topic |
Environmental sciences GE1-350 Technology T |
spellingShingle |
Environmental sciences GE1-350 Technology T Jurjen Van der Sluijs Derek R. Peddle Ronald J. Hall Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery |
topic_facet |
Environmental sciences GE1-350 Technology T |
description |
Northern boreal forests are characterized by open stands whereby trees, understory background, and shadow are all significant components of the spectral response within a pixels’ spatial footprint. To overcome this mixed pixel problem, accurate spectral characterization of these (endmember) components is necessary for spectral mixture analysis (SMA) to generate forest classifications at the species level. Obtaining these endmember spectra in the field, however, can be difficult or impossible. This study examined whether image endmember spectra can be identified using forest inventory information to derive dominant tree species classifications. This was tested using multiple-endmember SMA (MESMA) and single- and multi-date Landsat imagery of a forested area in the Northwest Territories, Canada. Image classifications (n = 80) were generated based on 20 image-date combinations and four unmixing models. Accuracies of 80% and 82% were achieved for open and medium dense forest stands, respectively using multi-date imagery, which outperformed single-date imagery acquired at peak phenology. The overall accuracy is 72%; lower due to challenges in very open stands. The multi-date MESMA approach was robust for both compositionally pure and mixed stands. The approach merits further investigation, particularly within the context of the increasing availability of regional-scale satellite imagery enabling composite time-series and spectral-temporal image features. |
format |
Article in Journal/Newspaper |
author |
Jurjen Van der Sluijs Derek R. Peddle Ronald J. Hall |
author_facet |
Jurjen Van der Sluijs Derek R. Peddle Ronald J. Hall |
author_sort |
Jurjen Van der Sluijs |
title |
Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery |
title_short |
Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery |
title_full |
Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery |
title_fullStr |
Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery |
title_full_unstemmed |
Characterizing Tree Species in Northern Boreal Forests Using Multiple-Endmember Spectral Mixture Analysis and Multi-Temporal Satellite Imagery |
title_sort |
characterizing tree species in northern boreal forests using multiple-endmember spectral mixture analysis and multi-temporal satellite imagery |
publisher |
Taylor & Francis Group |
publishDate |
2023 |
url |
https://doi.org/10.1080/07038992.2023.2216312 https://doaj.org/article/f219cb5ae80b4ead93ded827ea1c3133 |
geographic |
Canada Northwest Territories |
geographic_facet |
Canada Northwest Territories |
genre |
Northwest Territories |
genre_facet |
Northwest Territories |
op_source |
Canadian Journal of Remote Sensing, Vol 49, Iss 1 (2023) |
op_relation |
http://dx.doi.org/10.1080/07038992.2023.2216312 https://doaj.org/toc/1712-7971 1712-7971 doi:10.1080/07038992.2023.2216312 https://doaj.org/article/f219cb5ae80b4ead93ded827ea1c3133 |
op_doi |
https://doi.org/10.1080/07038992.2023.2216312 |
container_title |
Canadian Journal of Remote Sensing |
container_volume |
49 |
container_issue |
1 |
_version_ |
1789970701520732160 |