Article
Environmental Sciences
Frederico Tupinamba-Simoes, Adrian Pascual, Juan Guerra-Hernandez, Cristobal Ordonez, Tiago de Conto, Felipe Bravo
Summary: The use of mobile laser scanning allows for high-resolution, 3D description of forest ecosystems. This study tested a mobile Handheld Laser Scanning (HLS) system in a structurally complex Mediterranean forest in Spain to estimate tree attributes. The HLS approach achieved a high tree detection rate and accurate estimation of diameter at breast height (DBH) and tree height. The study demonstrates the feasibility and efficiency of HLS in mapping trees in mixed forests, with potential application in forest monitoring programs.
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
Kadir Alperen Coskuner, Can Vatandaslar, Murat Ozturk, Ismet Harman, Ertugrul Bilgili, Uzay Karahalil, Tolga Berber, Esra Tunc Gormus
Summary: This study used handheld mobile laser scanning (HMLS) to measure stand fuel characteristics in six fuel types for the Mediterranean region, and compared the results with traditional field fuel measurements (FFM) in 35 different sampling plots. The results showed that HMLS was practical, cost-effective, time-efficient, and required less labor compared to traditional FFM in plot-level inventories.
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2023)
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
Agriculture, Multidisciplinary
Stefano Chiappini, Roberto Pierdicca, Francesco Malandra, Enrico Tonelli, Eva Savina Malinverni, Carlo Urbinati, Alessandro Vitali
Summary: This study compared the efficiency and accuracy of Mobile Laser Scanner (MLS) combined with Simultaneous Localization and Mapping (SLAM) technology and traditional field survey for measuring important forest dendrometric variables. The results showed that MLS had no bias in stem diameter estimates, but underestimated tree height and crown base height. Volume values also showed a bias. Despite the limitations, the method is suitable for operational applications in simple forest structures.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
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
Environmental Sciences
Henrik J. Persson, Kenneth Olofsson, Johan Holmgren
Summary: This study compared a two-phase laser-scanning method with traditional field inventory for forest stands in Sweden, showing that laser-scanning provided significantly higher accuracy and efficiency in measuring tree height, classifying tree species, and estimating forest variables. The results demonstrated the potential for laser-scanning to replace manual field inventories in the future.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Bastien Vandendaele, Olivier Martin-Ducup, Richard A. Fournier, Gaetan Pelletier, Philippe Lejeune
Summary: The emergence of mobile laser scanning (MLS) systems that use simultaneous localization and mapping (SLAM) technology to map their environment opens up new opportunities for characterizing forest structure. This study assessed the potential of MLS data to estimate tree structural attributes in a temperate hardwood stand and found that SLAM-based MLS systems provided accurate estimates of various attributes when compared to TLS and destructive measurements.
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
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
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
Xavier Gallagher-Duval, Olivier R. van Lier, Richard A. Fournier
Summary: This study aimed to determine the optimal approach for estimating stem diameter distributions (SDD) from airborne laser scanning (ALS) data using different metrics. The results showed that the performance of SDD modality classification models was consistent and the best SDD function parameter models were generally fitted with a combination of metrics. It was found that CHM texture metrics can improve the estimate of SDD parameters and differentiating for modality prior to estimating SSD is especially beneficial in stands with bimodal SDD.
Article
Remote Sensing
Daniel Kuekenbrink, Mauro Marty, Ruedi Boesch, Christian Ginzler
Summary: This study evaluates the performance of different close-range remote sensing devices for tree detection and diameter at breast height (DBH) extraction in forests. The results show that terrestrial laser scanning systems (TLS) have the highest tree detection rate, while drone-based laser scanning systems (UAVLS) have the lowest tree detection rate. The novel GoPro approach performs moderately well in tree detection and is comparable to LiDAR devices in DBH extraction.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Forestry
Mustafa Zeybek, Can Vatandaslar
Summary: Many dendrometric parameters have been estimated using Light Detection and Ranging (LiDAR) technology in the past two decades. Handheld Mobile Laser Scanning (HMLS) has emerged as a cost-effective method for forest inventory data collection, particularly in natural forest areas. Automated algorithms and machine learning models were used to estimate tree diameters and quantities, showing strong correlations and high accuracy levels. The HMLS method shows great potential for area-based forest inventories, especially in easily accessible plots, with room for further improvement in accuracy through algorithmic enhancements.
CROATIAN JOURNAL OF FOREST ENGINEERING
(2021)
Article
Remote Sensing
Om P. P. Kalwar, Yousif A. Hussin, Michael J. C. Weir, C. A. J. M. de Bie, Yogendra Karna
Summary: This study demonstrates a method to derive forest inventory parameters for estimating above-ground carbon using a Terrestrial Laser Scanner. The results show that TLS has the potential to accurately estimate forest parameters and above-ground carbon, providing clear evidence for its application in tropical rainforests.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Biodiversity Conservation
Jonathan Harry Moore, Saifon Sittimongkol, Ahimsa Campos-Arceiz, Tok Sumpah, Markus Peter Eichhorn
BIOLOGICAL CONSERVATION
(2016)
Article
Biodiversity Conservation
Olivia Norfolk, Markus P. Eichhorn, Francis Gilbert
INSECT CONSERVATION AND DIVERSITY
(2016)
Article
Ecology
Rebecca C. Hooper, Markus P. Eichhorn
POPULATION ECOLOGY
(2016)
Article
Biodiversity Conservation
Markus P. Eichhorn, Joseph Ryding, Martin J. Smith, Robin M. A. Gill, Gavin M. Siriwardena, Robert J. Fuller
JOURNAL OF APPLIED ECOLOGY
(2017)
Article
Biodiversity Conservation
Olivia Norfolk, Francis Gilbert, Markus P. Eichhorn
DIVERSITY AND DISTRIBUTIONS
(2018)
Article
Biology
Emilene Pliego Pliego, Jorge Velazquez-Castro, Markus P. Eichhorn, Andres Fraguela Collar
JOURNAL OF THEORETICAL BIOLOGY
(2018)
Article
Ecology
Telma G. Laurentino, Julian Baur, Takuji Usui, Markus P. Eichhorn
AFRICAN JOURNAL OF ECOLOGY
(2019)
Editorial Material
Ecology
Kate Baker, Markus P. Eichhorn, Mark Griffiths
Article
Agronomy
Ting Yun, Lin Cao, Feng An, Bangqian Chen, Lianfeng Xue, Weizheng Li, Sylvain Pincebourde, Martin J. Smith, Markus P. Eichhorn
AGRICULTURAL AND FOREST METEOROLOGY
(2019)
Article
Environmental Sciences
Zhixian Huang, Xiao Huang, Jiangchuan Fan, Markus Eichhorn, Feng An, Bangqian Chen, Lin Cao, Zhengli Zhu, Ting Yun
Article
Ecology
Hazel L. Wilson, Matthew F. Johnson, Paul J. Wood, Colin R. Thorne, Markus P. Eichhorn
Summary: Anthropogenic litter, such as plastic, metal, and glass, supports a diverse community of macroinvertebrates in urban rivers compared to natural substrates like rocks. The communities on anthropogenic litter were more complex and included taxa not found on rocks. Although the density of macroinvertebrates was similar on both substrates, the composition of the communities varied significantly, with common taxa more abundant on anthropogenic litter.
FRESHWATER BIOLOGY
(2021)
Article
Environmental Sciences
Ting Yun, Kang Jiang, Guangchao Li, Markus P. Eichhorn, Jiangchuan Fan, Fangzhou Liu, Bangqian Chen, Feng An, Lin Cao
Summary: The study proposed an approach to crown segmentation using computer vision theories in different forest types. By designing a dual Gaussian filter and applying anisotropic water expansion, accurate crown segmentation was achieved. The method demonstrated high performance in subtropical forests in China, improving treetop detection rate and ITC segmentation compared to existing methods.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
David M. Price, Aaron Lim, Alexander Callaway, Markus P. Eichhorn, Andrew J. Wheeler, Claudio Lo Iacono, Veerle A. I. Huvenne
Summary: Benthic fauna form spatial patterns influenced by both biotic and abiotic processes, which can be quantified using landscape ecology descriptors. Fine-to medium-scale spatial patterns in deep-sea habitats provide insights into species' niches and interactions, and photomosaics constructed from ROV imagery can reveal novel ecological information.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Agronomy
Xinbo Xue, Shichao Jin, Feng An, Huaiqing Zhang, Jiangchuan Fan, Markus P. Eichhorn, Chengye Jin, Bangqian Chen, Ling Jiang, Ting Yun
Summary: This study developed a method using LiDAR data and computer graphics to model forest canopy radiation fluxes for conifer, broadleaf, and mixed forest plots. The results showed that conifer plots received the highest overall radiant flux due to their higher reflectance and absorption of reflected solar beams, while broadleaf plots received more transmitted radiant flux due to their larger transmittance in shaded areas. The method accurately simulated the detailed distribution of canopy radiation at plot-scale and is valuable for studying light-dependent biophysiological processes.
Article
Ecology
Jorge Velazquez-Castro, Markus P. Eichhorn
ECOLOGICAL MODELLING
(2017)