Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach
Most mapping methods for Arctic land cover are pixel-based techniques for low resolution data, and have limitations in mapping land cover heterogeneity over complex Arctic polygonal tundra terrain. In this study, we developed a hybrid object-based approach for Arctic coastal tundra mapping using ver...
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ftdoajarticles:oai:doaj.org/article:7d7e150dd57f405b95080b27e119785f 2023-11-12T04:11:02+01:00 Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach Zhaohua Chen Jon Pasher Jason Duffe Amir Behnamian 2017-11-01T00:00:00Z https://doi.org/10.1080/07038992.2017.1370367 https://doaj.org/article/7d7e150dd57f405b95080b27e119785f EN FR eng fre Taylor & Francis Group http://dx.doi.org/10.1080/07038992.2017.1370367 https://doaj.org/toc/1712-7971 1712-7971 doi:10.1080/07038992.2017.1370367 https://doaj.org/article/7d7e150dd57f405b95080b27e119785f Canadian Journal of Remote Sensing, Vol 43, Iss 6, Pp 513-527 (2017) Environmental sciences GE1-350 Technology T article 2017 ftdoajarticles https://doi.org/10.1080/07038992.2017.1370367 2023-10-15T00:36:32Z Most mapping methods for Arctic land cover are pixel-based techniques for low resolution data, and have limitations in mapping land cover heterogeneity over complex Arctic polygonal tundra terrain. In this study, we developed a hybrid object-based approach for Arctic coastal tundra mapping using very high resolution optical satellite imagery by combining results from semi-automatic water/land separation, texture analysis based on local binary pattern (LBP), and image classification via Random Forests (RF). The method was applied for coastal land cover mapping in a study site in Tuktoyaktuk, Northwest Territories, Canada using Pleiades satellite data. Results from pixel-based Maximum Likelihood Classifier (MLC), segment-based MLC, pixel-based RF, and segment-based RF were compared with the proposed method. The hybrid method outperformed other approaches and achieved an overall accuracy of 88% for 9 classes. In particular, it has successfully identified unique land cover types of Ice-Wedge Polygons, Wetland (inundated low-lying tundra and marsh with water ponds), with both producer's and user's accuracy over 91%. Results from this study indicate that the developed hybrid method is suitable to be applied for mapping Arctic coastal ecosystems, and confirms the feasibility of proper use of LBP at segment level for mapping complex environment. Article in Journal/Newspaper Arctic Northwest Territories Tuktoyaktuk Tundra Directory of Open Access Journals: DOAJ Articles Arctic Canada Northwest Territories Pleiades ENVELOPE(165.533,165.533,-72.700,-72.700) Tuktoyaktuk ENVELOPE(-133.006,-133.006,69.425,69.425) Canadian Journal of Remote Sensing 43 6 513 527 |
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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 Zhaohua Chen Jon Pasher Jason Duffe Amir Behnamian Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach |
topic_facet |
Environmental sciences GE1-350 Technology T |
description |
Most mapping methods for Arctic land cover are pixel-based techniques for low resolution data, and have limitations in mapping land cover heterogeneity over complex Arctic polygonal tundra terrain. In this study, we developed a hybrid object-based approach for Arctic coastal tundra mapping using very high resolution optical satellite imagery by combining results from semi-automatic water/land separation, texture analysis based on local binary pattern (LBP), and image classification via Random Forests (RF). The method was applied for coastal land cover mapping in a study site in Tuktoyaktuk, Northwest Territories, Canada using Pleiades satellite data. Results from pixel-based Maximum Likelihood Classifier (MLC), segment-based MLC, pixel-based RF, and segment-based RF were compared with the proposed method. The hybrid method outperformed other approaches and achieved an overall accuracy of 88% for 9 classes. In particular, it has successfully identified unique land cover types of Ice-Wedge Polygons, Wetland (inundated low-lying tundra and marsh with water ponds), with both producer's and user's accuracy over 91%. Results from this study indicate that the developed hybrid method is suitable to be applied for mapping Arctic coastal ecosystems, and confirms the feasibility of proper use of LBP at segment level for mapping complex environment. |
format |
Article in Journal/Newspaper |
author |
Zhaohua Chen Jon Pasher Jason Duffe Amir Behnamian |
author_facet |
Zhaohua Chen Jon Pasher Jason Duffe Amir Behnamian |
author_sort |
Zhaohua Chen |
title |
Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach |
title_short |
Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach |
title_full |
Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach |
title_fullStr |
Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach |
title_full_unstemmed |
Mapping Arctic Coastal Ecosystems with High Resolution Optical Satellite Imagery Using a Hybrid Classification Approach |
title_sort |
mapping arctic coastal ecosystems with high resolution optical satellite imagery using a hybrid classification approach |
publisher |
Taylor & Francis Group |
publishDate |
2017 |
url |
https://doi.org/10.1080/07038992.2017.1370367 https://doaj.org/article/7d7e150dd57f405b95080b27e119785f |
long_lat |
ENVELOPE(165.533,165.533,-72.700,-72.700) ENVELOPE(-133.006,-133.006,69.425,69.425) |
geographic |
Arctic Canada Northwest Territories Pleiades Tuktoyaktuk |
geographic_facet |
Arctic Canada Northwest Territories Pleiades Tuktoyaktuk |
genre |
Arctic Northwest Territories Tuktoyaktuk Tundra |
genre_facet |
Arctic Northwest Territories Tuktoyaktuk Tundra |
op_source |
Canadian Journal of Remote Sensing, Vol 43, Iss 6, Pp 513-527 (2017) |
op_relation |
http://dx.doi.org/10.1080/07038992.2017.1370367 https://doaj.org/toc/1712-7971 1712-7971 doi:10.1080/07038992.2017.1370367 https://doaj.org/article/7d7e150dd57f405b95080b27e119785f |
op_doi |
https://doi.org/10.1080/07038992.2017.1370367 |
container_title |
Canadian Journal of Remote Sensing |
container_volume |
43 |
container_issue |
6 |
container_start_page |
513 |
op_container_end_page |
527 |
_version_ |
1782330261785018368 |