Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots
Accurate individual tree locations enable efficient forest inventory management and automation, support precise forest surveys, management decisions and future individual-tree harvesting plans. In this paper, we compared and analyzed in detail the performance of an ultra-wideband (UWB) data-driven m...
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| Format: | Article |
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Elsevier
2025-01-01
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| Series: | ISPRS Open Journal of Photogrammetry and Remote Sensing |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667393225000067 |
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| author | Zuoya Liu Harri Kaartinen Teemu Hakala Heikki Hyyti Juha Hyyppä Antero Kukko Ruizhi Chen |
| author_facet | Zuoya Liu Harri Kaartinen Teemu Hakala Heikki Hyyti Juha Hyyppä Antero Kukko Ruizhi Chen |
| author_sort | Zuoya Liu |
| collection | DOAJ |
| description | Accurate individual tree locations enable efficient forest inventory management and automation, support precise forest surveys, management decisions and future individual-tree harvesting plans. In this paper, we compared and analyzed in detail the performance of an ultra-wideband (UWB) data-driven method for mapping individual tree locations in boreal forest sample plots of varying complexity. Twelve forest sample plots selected from varying forest-stand conditions representing different developing stages, stem densities and abundance of sub canopy growth in boreal forests were tested. These plots were classified into three categories (“Easy”, “Medium” and “Difficult”) according to these varying stand conditions. The experimental results show that UWB data-driven method is able to map individual tree locations accurately with total root-mean-squared-errors (RMSEs) of 0.17 m, 0.2 m, and 0.26 m for “Easy”, “Medium” and “Difficult” forest plots, respectively, providing a strong reference for forest surveys. |
| format | Article |
| id | doaj-art-6e413e7015a5406d84f51114e41e829a |
| institution | OA Journals |
| issn | 2667-3932 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ISPRS Open Journal of Photogrammetry and Remote Sensing |
| spelling | doaj-art-6e413e7015a5406d84f51114e41e829a2025-08-20T01:49:31ZengElsevierISPRS Open Journal of Photogrammetry and Remote Sensing2667-39322025-01-011510008710.1016/j.ophoto.2025.100087Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plotsZuoya Liu0Harri Kaartinen1Teemu Hakala2Heikki Hyyti3Juha Hyyppä4Antero Kukko5Ruizhi Chen6Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey, Vuorimiehentie 5, 02150, Espoo, Finland; Corresponding author.Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey, Vuorimiehentie 5, 02150, Espoo, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey, Vuorimiehentie 5, 02150, Espoo, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey, Vuorimiehentie 5, 02150, Espoo, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey, Vuorimiehentie 5, 02150, Espoo, Finland; Department of Built Environment, School of Engineering, Aalto University, P.O. Box 11000, 00076, Aalto, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, National Land Survey, Vuorimiehentie 5, 02150, Espoo, Finland; Department of Built Environment, School of Engineering, Aalto University, P.O. Box 11000, 00076, Aalto, FinlandSchool of Data Science, The Chinese University of Hong Kong, Shenzhen, ChinaAccurate individual tree locations enable efficient forest inventory management and automation, support precise forest surveys, management decisions and future individual-tree harvesting plans. In this paper, we compared and analyzed in detail the performance of an ultra-wideband (UWB) data-driven method for mapping individual tree locations in boreal forest sample plots of varying complexity. Twelve forest sample plots selected from varying forest-stand conditions representing different developing stages, stem densities and abundance of sub canopy growth in boreal forests were tested. These plots were classified into three categories (“Easy”, “Medium” and “Difficult”) according to these varying stand conditions. The experimental results show that UWB data-driven method is able to map individual tree locations accurately with total root-mean-squared-errors (RMSEs) of 0.17 m, 0.2 m, and 0.26 m for “Easy”, “Medium” and “Difficult” forest plots, respectively, providing a strong reference for forest surveys.http://www.sciencedirect.com/science/article/pii/S2667393225000067Ultra-widebandData-drivenTree mapForest plotsForest surveys and management |
| spellingShingle | Zuoya Liu Harri Kaartinen Teemu Hakala Heikki Hyyti Juha Hyyppä Antero Kukko Ruizhi Chen Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots ISPRS Open Journal of Photogrammetry and Remote Sensing Ultra-wideband Data-driven Tree map Forest plots Forest surveys and management |
| title | Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots |
| title_full | Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots |
| title_fullStr | Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots |
| title_full_unstemmed | Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots |
| title_short | Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots |
| title_sort | performance analysis of ultra wideband positioning for measuring tree positions in boreal forest plots |
| topic | Ultra-wideband Data-driven Tree map Forest plots Forest surveys and management |
| url | http://www.sciencedirect.com/science/article/pii/S2667393225000067 |
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