Article
Remote Sensing
Karel Kuzelka, Robert Marusak, Peter Surovy
Summary: This study evaluated the use of mobile laser scanning technology for collecting individual tree data in a natural forest. The results showed that the technology could accurately acquire tree positions and diameters, although there were some errors and missed detections.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Amelia Holcomb, Linzhe Tong, Srinivasan Keshav
Summary: This paper presents an algorithm that uses a low-cost smartphone LiDAR sensor to automatically estimate the trunk diameter. The algorithm is implemented in a smartphone app and tested in different forests, showing accurate results and significant reduction in surveyor time.
Article
Agronomy
Meinrad Abegg, Ruedi Bosch, Daniel Kukenbrink, Felix Morsdorf
Summary: Tree volume, an important feature in forest monitoring, can provide information on wood availability and forest carbon balance. However, conventional tools cannot directly measure tree volume, while terrestrial laser scanning (TLS) has the potential to do so. However, before TLS can be applied regularly in forest inventories, a greater understanding of its precision and accuracy is needed.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Forestry
Cornelis Stal, Jeffrey Verbeurgt, Lars De Sloover, Alain De Wulf
Summary: Sustainable forest management depends on accurate estimation of tree parameters, particularly the DBH for volume and mass extraction. This study showed that HMTLS is a useful alternative technique for precisely and efficiently calculating DBH, with comparable parameters to STLS and ALS data sets but significantly reduced acquisition time.
JOURNAL OF FORESTRY RESEARCH
(2021)
Article
Forestry
Ziyu Zhao, Zhongke Feng, Jincheng Liu, Yudong Li
Summary: The use of CCD cameras in video photography for sample plot analysis allows for efficient resource data acquisition, improving research efficiency and practical application in traditional forest inventories at low cost.
JOURNAL OF FORESTRY RESEARCH
(2021)
Article
Geochemistry & Geophysics
Meinrad Abegg, Ruedi Boesch, Michael E. Schaepman, Felix Morsdorf
Summary: The study focuses on the impact of laser beam diameter and signal triggering on the quality of point clouds in forested environments. It shows that small objects are poorly represented in point clouds and are further affected by large laser beam diameters, dense forest stands, and long distances from the scanning device. Simulations provided in the study offer insights for decision-making regarding the selection of suitable TLS devices and survey configurations for forest inventories.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Bingrui Jia, Hongru Sun, Herman Henry Shugart, Zhenzhu Xu, Peng Zhang, Guangsheng Zhou
Summary: Climate change impacts tree growth in the Chinese boreal forest, with the dominant tree species Larix gmelinii showing sensitivity to temperature and precipitation. Different age classes of trees have varying responses to these climatic factors, with optimal temperature and precipitation ranges identified for maximal growth increments. Increasing temperatures and precipitation in the future are estimated to potentially enhance the growth potentials of trees in the Chinese boreal forest region.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Forestry
Enrique Perez-Martin, Serafin Lopez-Cuervo Medina, Tomas Herrero-Tejedor, Miguel Angel Perez-Souza, Julian Aguirre de Mata, Alejandra Ezquerra-Canalejo
Summary: This study examines the performance of an MLS with SLAM technology for tree inventory compilation in a historic garden, and evaluates the accuracy of DBH estimates using three fitting algorithms. The Monte Carlo fitting algorithm showed the best results, accurately estimating the DBH of most trees in the study.
Article
Forestry
Zhengnan Zhang, Tiejun Wang, Andrew K. Skidmore, Fuliang Cao, Guanghui She, Lin Cao
Summary: The diameter at breast height (DBH) is an important trait for studying plant ecology and biodiversity, as well as managing forests. Traditional ground-based approaches for measuring individual tree DBH over large areas are time-consuming and expensive. In this study, we propose an improved area-based approach using airborne LiDAR data to estimate plot-level DBH by utilizing the relationship between tree height and DBH. The results demonstrate the potential of using height-DBH relationships to improve the accuracy of estimating plot-level DBH from airborne LiDAR data.
Article
Environmental Sciences
Bastien Vandendaele, Richard A. Fournier, Udayalakshmi Vepakomma, Gaetan Pelletier, Philippe Lejeune, Olivier Martin-Ducup
Summary: This study explored the use of UAV laser scanning systems to estimate tree attributes in a northern hardwood stand. The results showed that under leaf-off conditions, utilizing a point cloud-based bottom-up individual tree detection algorithm can improve accuracy in tree detection, crown delineation, and tree DBH prediction. The study suggests that high-density ULS data opens up new possibilities for supporting forest inventories and operations.
Article
Plant Sciences
Peter B. Boucher, Ian Paynter, David A. Orwig, Ilan Valencius, Crystal Schaaf
Summary: The research evaluated the impact of occlusion on TLS scans and compared different stem sets, finding that occlusion from non-stem sources was the major influence on TLS line of sight. It was also discovered that transect and point TLS samples demonstrated better representativeness of some stem properties. Deriving sampled area from TLS scans improved estimates of stem density.
Article
Remote Sensing
Lei You, Jianwei Guo, Yong Pang, Shouzheng Tang, Xinyu Song, Xiaopeng Zhang
Summary: The study presents a 3D stem model that accurately depicts the geometric structure of the stem and provides precise calculations of various stem parameters, using TLS data. The feasibility and validity of the model are demonstrated through visualization and experimental results, showing improved accuracy in forestry inventories compared to traditional methods.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Yanjun Su, Qinghua Guo, Shichao Jin, Hongcan Guan, Xiliang Sun, Qin Ma, Tianyu Hu, Rui Wang, Yumei Li
Summary: A backpack LiDAR system with dual orthogonal laser scanners and an open-source Python package called Forest3D was developed for efficient and accurate forest inventory applications. The system accurately estimated tree height and diameter at breast height (DBH) with results comparable to terrestrial laser scanning (TLS) but much higher efficiency. The point density of the LiDAR data was high across all height strata, and leaf area density (LAD) estimates fit well with TLS estimates. This system provides a valuable solution for forest managers and researchers in extracting forest inventory variables.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Environmental Sciences
Yuncheng Deng, Jiya Pan, Jinliang Wang, Qianwei Liu, Jianpeng Zhang
Summary: This study introduces a rapid method for biomass estimation in alpine and canyon areas using space-borne LiDAR data and optical remote-sensing images. By establishing extrapolation and growth models, the aboveground biomass and carbon storage in Shangri-La City were successfully estimated and verified.
Article
Geography, Physical
Karel Kuzelka, Peter Surovy
Summary: Terrestrial close-range photogrammetry provides a low-cost method for 3D reconstruction of forest stands, with optimal photographer trajectories essential for efficient coverage and tree diameter estimation. The study used mathematical optimization and simulated image sequences to determine the most effective trajectories for capturing images in forest stands, highlighting the importance of trajectory selection for automatic tree detection and diameter estimation.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)