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Performance analysis of ultra-wideband positioning for measuring tree positions in boreal forest plots

Zuoya Liu - Nama Orang; Antero Kukko - Nama Orang; Harri Kaartinen - Nama Orang; Juha Hyypp - Nama Orang; Teemu Hakala - Nama Orang; Heikki Hyyti - Nama Orang; Ruizhi Chen - Nama Orang;

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.


Ketersediaan
#
Perpustakaan BIG (Eksternal Harddisk) 621.3678
75
Tersedia
Informasi Detail
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
Penerbit
Amsterdam : Elsevier., 2025
Deskripsi Fisik
12 hlm PDF, 19.902 KB
Bahasa
Inggris
ISBN/ISSN
1872-8235
Klasifikasi
621.3678
Tipe Isi
text
Tipe Media
-
Tipe Pembawa
-
Edisi
12 hlm PDF, 19.902 KB
Subjek
Ultra-wideband
Data-driven
Tree map
Forest plots
Forest surveys and management
Info Detail Spesifik
-
Pernyataan Tanggungjawab
-
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Lampiran Berkas
  • 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 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.
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