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
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
Environmental Sciences
Lei You, Jie Wei, Xiaojun Liang, Minghua Lou, Yong Pang, Xinyu Song
Summary: This study evaluated six numerical calculation methods for stem diameter retrieval and found that cylinder fitting and circle fitting methods performed similarly, while convex hull line fitting and caliper simulation method methods showed similar performance.
Article
Biochemical Research Methods
Yanlong Miao, Liuyang Wang, Cheng Peng, Han Li, Xiuhua Li, Man Zhang
Summary: A fast measurement method for banana plant count, pseudo-stem diameter, and height based on terrestrial laser scanning (TLS) was proposed. The method involves obtaining three-dimensional (3D) point cloud data through TLS, preprocessing the data, segmenting the canopy closed banana plant point cloud, counting the number of pseudo-stems, and measuring the diameter and height of the pseudo-stems. The results showed high accuracy and recall rates compared to manual measurements, indicating that the method is suitable for field measurement of banana plantation management.
Article
Plant Sciences
Markku Akerblom, Pekka Kaitaniemi
Summary: Laser scanning technology provides an automated and non-destructive method to capture forest structure, and has the potential to become a unifying measurement standard for forest research questions. Ongoing development of automated processing tools is facilitating the capacity of new methods for capturing information from the point cloud data provided by remote measurements.
Article
Plant Sciences
Anne Bienert, Louis Georgi, Matthias Kunz, Goddert von Oheimb, Hans-Gerd Maas
Summary: Mobile laser scanning (MLS) is a valuable technique for automated tree segmentation and parameter determination in forest research. The detection rate of trees in MLS data strongly depends on the distance to the travelled track, with trees being almost completely segmented up to a distance of about 30 m from the trajectory. The accuracy of tree parameters derived from MLS-segmented trees is similar to those from TLS-segmented trees.
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
Environmental Sciences
Christoph Gollob, Tim Ritter, Ralf Krassnitzer, Andreas Tockner, Arne Nothdurft
Summary: This study tested the use of an iPad Pro for forest inventory, showing higher detection rate and DBH measurement accuracy compared to traditional methods, despite longer data acquisition time. Consumer-level handheld devices with integrated laser scanners are expected to be developed as cost-efficient alternatives for forest inventory practice.
Article
Environmental Sciences
Andres Kuusk, Allan Sims
Summary: This study validates the hot-spot theoretical model in the Jarvselja RAMI pine stand using extensive terrestrial laser scanning (TLS) measurements. A point cloud of laser hits with a resolution of 1 cm was created to describe the spatial structure of the crown layer. The study found that the determined value of the hotspot parameter agrees well with the value estimated indirectly from measurements of reflectance profile.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Sukant Chaudhry, David Salido-Monzu, Andreas Wieser
Summary: The study presents a simple model for predicting the resolution capability in a laser scanning point cloud, specifically focusing on the angular direction. It utilizes an elliptical Gaussian beam for quantification and verifies the approximation of RC while considering scanning resolution. The model is accessible and supports assessing the suitability of specific scanners or scanning parameters for different applications.
Article
Remote Sensing
Martin Mokros, Tomas Mikita, Arunima Singh, Julian Tomastik, Juliana Chuda, Piotr Wezyk, Karel Kuzelka, Peter Surovy, Martin Klimanek, Karolina Zieba-Kulawik, Rogerio Bobrowski, Xinlian Liang
Summary: The development of devices capable of generating 3D point clouds of the forest has flourished in recent years. Low-cost technologies such as MultiCam, iPad Pro, GeoSlam Horizon, and FARO Focus s70 were compared for tree detection and diameter at breast height estimation. Results showed that TLS provided the most accurate data, while iPad Pro achieved results closest to TLS when DBH > 7 cm.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Gabor Brolly, Geza Kiraly, Matti Lehtomaki, Xinlian Liang
Summary: This paper presents a fully automatic method for tree mapping and parameter extraction from terrestrial laser scans, achieving tree height estimates without constraints on crown shape. The algorithm demonstrates robustness across diverse forest structures, but tends to be conservative in tree height estimates.
Article
Environmental Sciences
Zhouxin Xi, Chris Hopkinson
Summary: The treeiso model enables accurate isolation of individual trees from TLS scans, providing strong support for fine-scale forest management. Sensitivity analysis and parameter combination testing demonstrate the model's good accuracy and robustness in tree localization.
Article
Agronomy
Aline Bornand, Nataliia Rehush, Felix Morsdorf, Esther Thurig, Meinrad Abegg
Summary: This study evaluates the correlation between individual tree volume estimation methods based on 3D reconstruction and existing models, and determines the relationship between geometric parameters obtained from laser scanning data and tree volume. The results show that geometric parameters can effectively estimate tree volume, especially for coniferous species. This is crucial for calibration and validation of biomass mapping products based on remote sensing data.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Chemistry, Multidisciplinary
Mingrui Dai, Guohua Li
Summary: As the usage of three-dimensional (3D) laser scanner becomes prevalent for forest inventory, the analysis and processing of point cloud data captured with a 3D laser scanner have gained significant research attention. Extracting individual trees from point cloud data is crucial for further investigation at the tree-level analysis, such as tree counting and trunk analysis, leading to multiple advancements in this area. However, accurately and automatically obtaining the tree crown silhouette from the point cloud data is challenging due to the frequent overlap between adjacent tree crowns. To address this issue, a soft segmentation method utilizing K-Nearest Neighbor (KNN) and contour shape constraints has been proposed, resulting in improved visual effect and precision of point cloud segmentation. In conclusion, the proposed method demonstrates a successful approach for tree crown segmentation and silhouette reconstruction from terrestrial laser scanning point cloud data of forests.
APPLIED SCIENCES-BASEL
(2023)
Article
Forestry
Kenneth Olofsson, Hakan Olsson
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2018)
Article
Geography, Physical
Xinlian Liang, Juha Hyyppa, Harri Kaartinen, Matti Lehtomaki, Jiri Pyorala, Norbert Pfeifer, Markus Holopainen, Gabor Brolly, Francesco Pirotti, Jan Hackenberg, Huabing Huang, Hyun-Woo Jo, Masato Katoh, Luxia Liu, Martin Mokros, Jules Morel, Kenneth Olofsson, Jose Poveda-Lopez, Jan Trochta, Di Wang, Jinhu Wang, Zhouxi Xi, Bisheng Yang, Guang Zheng, Ville Kankare, Ville Luoma, Xiaowei Yu, Liang Chen, Mikko Vastaranta, Ninni Saarinen, Yunsheng Wang
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2018)
Article
Multidisciplinary Sciences
Mats Olvmo, Bjorn Holmer, Sofia Thorsson, Heather Reese, Fredrik Lindberg
SCIENTIFIC REPORTS
(2020)
Article
Environmental Sciences
Martin Karlson, Madelene Ostwald, Jules Bayala, Hugues Romeo Bazie, Abraham Sotongo Ouedraogo, Boukary Soro, Josias Sanou, Heather Reese
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2020)
Article
Agriculture, Multidisciplinary
S. Wolters, M. Soderstrom, K. Piikki, H. Reese, M. Stenberg
Summary: Total nitrogen content in aboveground biomass of winter wheat was estimated using satellite data and applied in a decision support system for precision agriculture. The use of a linear model based on the red-edge chlorophyll index provided the best prediction of N-uptake, showing potential for variable-rate N application.
PRECISION AGRICULTURE
(2021)
Article
Remote Sensing
Arvid Axelsson, Eva Lindberg, Heather Reese, Hakan Olsson
Summary: The study demonstrates that Bayesian inference can achieve high and stable accuracy in tree species classification. By combining multiple Sentinel-2 images, a higher accuracy can be achieved. The method is applicable in areas where data are incomplete.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Meteorology & Atmospheric Sciences
Lorenzo Minola, Heather Reese, Hui-Wen Lai, Cesar Azorin-Molina, Jose A. Guijarro, Seok-Woo Son, Deliang Chen
Summary: This study examines the break in the stilling phenomenon detected around 2010, with a focus on Sweden using wind speed observations from 1997 to 2019. It found that the stilling reversed after 2003, with changes in wind speed driven by large-scale atmospheric circulation and surface roughness variations. Strong winds played a significant role in wind speed changes, with gusts showing greater increases compared to mean wind speeds.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Environmental Sciences
Maciej J. Soja, Martin Karlson, Jules Bayala, Hugues R. Bazie, Josias Sanou, Boalidioa Tankoano, Leif E. B. Eriksson, Heather Reese, Madelene Ostwald, Lars M. H. Ulander
Summary: In this study, the potential of TDM data for mapping tree height in agroforestry parklands in Africa was investigated. Results show that combining TDM data with in situ measurements can more accurately estimate tree height, which is promising for future monitoring and research.
Article
Remote Sensing
Johan Holmgren, Eva Lindberg, Kenneth Olofsson, Henrik J. Persson
Summary: This article describes algorithms for tree crown extraction using 2D and 3D segmentation. The results show that the 3D segmentation method has a higher detection rate compared to the 2D segmentation method. The undetected trees in all combinations of algorithms and data resolutions accounted for a small percentage of the total stem volume.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2022)
Article
Environmental Sciences
Martin Karlson, David Bastviken, Heather Reese
Summary: The study found that the Arctic DEM, ALOS, and Copernicus have relatively high vertical accuracy, but large errors in elevation derivatives such as TWI and landform classification. The Copernicus DEM produced the most accurate elevation derivatives, closest to the reference DEM results, despite relatively high errors.
Article
Environmental Sciences
Kenneth Olofsson, Johan Holmgren
Summary: A new algorithm for detecting branch attachments on stems based on a voxel approach and line object detection by a voting procedure is introduced. This algorithm can be used to evaluate the quality of stems by giving the branch density of each standing tree. The detected branches were evaluated using field-sampled trees. The algorithm detected 63% of the total amount of branch whorls and 90% of the branch whorls attached in the height interval from 0 to 10 m above ground. The suggested method could be used to create maps of forest stand stem quality data.
Proceedings Paper
Geosciences, Multidisciplinary
Y. Miura, L. E. B. Eriksson, M. Ostwald, M. Karlson, H. R. Bazie, M. J. Soja, J. Sanou, J. Bayala, H. Reese
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
(2019)
Article
Remote Sensing
Arnadi Murtiyoso, Pierre Grussenmeyer, Niclas Borlin, Julien Vandermeerschen, Tristan Freville
