The efficiency of LiDAR HMLS scanning in monitoring forest structure parameters: implications for sustainable forest management

Sofia, Serena; Maetzke, Federico Guglielmo; Crescimanno, Maria; Coticchio, Alessandro; Veca, Donato Salvatore La Mela; Galati, Antonino

doi:10.1108/emjb-01-2022-0017

Cited by 5 publications

(3 citation statements)

References 57 publications

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“…In general, tree height was underestimated in this study, which is consistent with previous studies [34,[50][51][52]. For instance, ref.…”

Section: Discussionsupporting

confidence: 93%

Assessing the Performance of Handheld Laser Scanning for Individual Tree Mapping in an Urban Area

Yang,

Yuan,

et al. 2024

Forests

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Precise individual tree or sample-based inventories derived from 3D point cloud data of mobile laser scanning can improve our comprehensive understanding of the structure, function, resilience, biodiversity, and ecosystem services of urban forests. This study assessed the performance of a handheld laser scanning system (HLS) for the extraction of tree position, diameter at breast height (DBH), and tree height (H) in an urban area. A total of 2083 trees of 13 species from 34 plots were analyzed. The results showed that the registration of tree positions using ground control points (GCPs) demonstrated high accuracy, with errors consistently below 0.4 m, except for a few instances. The extraction accuracy of DBH for all trees and individual species remained consistently high, with a total root mean square error (RMSE) of 2.06 cm (6.89%) and a bias of 0.62 cm (2.07%). Notably, broad-leaved trees outperformed coniferous trees, with RMSE and bias values of 1.86 cm (6%) and 0.76 cm (2.46%), respectively, compared to 2.54 cm (9.46%) and 0.23 cm (0.84%), respectively. The accuracy of H extraction varied significantly among different species, with R2 values ranging from 0.65 to 0.92. Generally, both DBH and H were underestimated compared to ground measurements. Linear mixed-effects models (LMEs) were applied to evaluate factors affecting the performance of HLS with the plot as a random factor. LME analysis revealed that plant type and terrain significantly influenced the accuracy of DBH and H derived from HLS data, while other fixed factors such as plot area, tree density, and trajectory length showed no significance. With a large sample size, we concluded that the HLS demonstrated sufficient accuracy in extracting individual tree parameters in urban forests.

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“…In general, tree height was underestimated in this study, which is consistent with previous studies [34,[50][51][52]. For instance, ref.…”

Section: Discussionsupporting

confidence: 93%

Assessing the Performance of Handheld Laser Scanning for Individual Tree Mapping in an Urban Area

Yang,

Yuan,

et al. 2024

Forests

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“…Incentives from the government, collaboration, and knowledge exchange can all contribute to accelerating technology adoption. Community engagement, environmental sustainability, and monitoring and evaluation are also essential components of this process [66][67][68].…”

Section: Forest Resource Efficiency and Technological Heterogeneity I...mentioning

confidence: 99%

Forestry Resource Efficiency, Total Factor Productivity Change, and Regional Technological Heterogeneity in China

Shah,

Hao,

Yan

et al. 2024

Forests

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The efficient and sustainable management of forestry resources is crucial in ensuring economic and societal sustainability. The Chinese government has invested significantly in regulations, afforestation, and technology to enhance the forest resource efficiency, reduce technological disparities, and boost productivity growth. However, the success level of this undertaking is unclear and worth exploring. To this end, this study applied DEA-SBM, meta-frontier analysis, and the Malmquist productivity index to gauge the forest resource efficiency (FRE), regional technology heterogeneity (TGR), and total factor productivity growth (MI) in 31 Chinese provinces for a study period of 2001–2020. Results revealed that the average FRE was 0.5430, with potential growth of 45.70%, to enhance the efficiency level in forestry resource utilization. Anhui, Tibet, Fujian, Shanghai, and Hainan were found to be the top performers in forestry utilization during the study period. The southern forest region was ranked highest, with the highest TGR of 0.915, indicating advanced production technologies. The average MI score was 0.9644, signifying a 3.56% decline in forestry resource productivity. This deterioration is primarily attributed to technological change (TC), which decreased by 5.2%, while efficiency change (EC) witnessed 1.74% growth over the study period. The Southern Chinese forest region, indicating an average 3.06% increase in total factor productivity, ranked highest in all four regions. Guangxi, Tianjin, Shandong, Chongqing, and Jiangxi were the top performers, with prominent growth in MI. Finally, the Kruskal–Wallis test found a significant statistical difference among all four regions for FRE and TGR.

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“…Some operators in the forestry sector use ICT to improve forest management results [36,37]; for instance, ICTs can be used in the planning and monitoring of forest management [38], wood production optimization [39], forest health monitoring [40], and improving traceability and transparency of the timber supply chain [41]. Considering these ICTs, efficiency and sustainability in forest management can be improved [42].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Role of ICTs and Communication Flows in the Forest Sector

2023

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The forestry sector has used technology to improve productivity and increase service quality, reducing labor in many processes. In this sense, Information and Communication Technologies (ICTs) are having broad impacts on the forestry sector, from forestry to the marketing of forest products and the recreational use of forests. There is a wide range of technologies that can be implemented in forestry depending on the needs of each user. The objective of this study was to conduct a literature review in order to analyze the opportunities for improving ICT and communication flows in the forestry sector and to evaluate their applicability. This literature review was analyzed using the Scopus, Web of Science, and ScienceDirect databases. An overview of the importance of ICT and communication flows in the forestry sector, ICT tools, and their applications is provided. One-way and two-way communication flows coexist in forestry, integrating different communication channels, time, target audience, and message. It is clear that technologies have produced significant changes in all sectors of the forestry industry. We conclude that ICTs and communication flows contribute to forest conservation and management in the establishment of standards or policies that ensure conservation through monitoring and analysis of landscapes at different temporal and spatial scales.

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The efficiency of LiDAR HMLS scanning in monitoring forest structure parameters: implications for sustainable forest management

Cited by 5 publications

References 57 publications

Assessing the Performance of Handheld Laser Scanning for Individual Tree Mapping in an Urban Area

Assessing the Performance of Handheld Laser Scanning for Individual Tree Mapping in an Urban Area

Forestry Resource Efficiency, Total Factor Productivity Change, and Regional Technological Heterogeneity in China

Exploring the Role of ICTs and Communication Flows in the Forest Sector

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