Article
Environmental Sciences
Shaun R. Levick, Tim Whiteside, David A. Loewensteiner, Mitchel Rudge, Renee Bartolo
Summary: Savanna ecosystems are difficult to map and monitor due to the dynamic nature of their vegetation. UAV-based remote sensing shows potential for providing high-resolution measurements over large areas at regular intervals. However, the suitability of UAV-based LiDAR for mapping and monitoring savanna vegetation structure is not well established.
Article
Environmental Sciences
Raja Manish, Seyyed Meghdad Hasheminasab, Jidong Liu, Yerassyl Koshan, Justin Anthony Mahlberg, Yi-Chun Lin, Radhika Ravi, Tian Zhou, Jeremy McGuffey, Timothy Wells, Darcy Bullock, Ayman Habib
Summary: Stockpile quantity monitoring is crucial for agencies and businesses to maintain inventory of bulk materials. Traditional approaches are inaccurate, while modern remote sensing platforms equipped with camera and LiDAR units have limitations in challenging environmental conditions. The new mapping platform SMART provides a time-efficient and cost-effective solution for stockpile monitoring by fusing camera and LiDAR data, enabling accurate volume estimation even in challenging conditions.
Article
Engineering, Multidisciplinary
Wioleta Blaszczak-Bak, Czeslaw Suchocki, Tomasz Kozakiewicz, Joanna Janicka
Summary: The popularity of smartphones and advancements in sensor technologies have created new possibilities for scientific applications and cost-effective observations. This study proposes a new methodology using the LiDAR sensor in the Apple iPhone XR to examine wall cracks and resulting displacement. Dedicated spatial measurement targets (SMTs) were used to measure quasi-flat and homogeneous walls. The methodology includes smartphone measurements with and without SMTs, and their analysis compared to terrestrial laser scanner (TLS) measurements. The analysis shows that smartphone measurement with LiDAR and SMT is better than TLS for detecting small cracks such as 0.5-1.0 mm.
Review
Geography, Physical
Nathan Sanchiz-Viel, Estelle Bretagne, El Mustapha Mouaddib, Pascal Dassonvalle
Summary: In addition to measuring spatial information, LiDAR sensor systems also measure an intensity scalar which corresponds to the amplitude of the backscattered laser beam. However, due to dependencies of geometrical parameters and processing modifications, this information cannot be directly used. Efforts are being made in the research community to convert this signal into a value that could bring qualitative and quantitative new applications.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Han Wang, Wangfei Zhang, Guijun Yang, Lei Lei, Shaoyu Han, Weimeng Xu, Riqiang Chen, Chengjian Zhang, Hao Yang
Summary: In this study, a novel method for field monitoring of maize ear height (EH) and ear-plant height ratio (ER) was proposed based on the relationship between ear position and vertical leaf area profile. The method was validated using data collected from 128 field plots. The results of this study provide important insights for maize breeding and molecular breeding of maize cultivars.
Article
Multidisciplinary Sciences
Hyunseob Baik, Young-Sun Son, Kwang-Eun Kim
Summary: A hyperspectral scanning system for 3D surface mapping in underground spaces was developed and tested, successfully obtaining 3D hyperspectral images of the internal surface of a mine shaft.
SCIENTIFIC REPORTS
(2023)
Article
Forestry
Chiung Ko, Seunghyun Lee, Jongsu Yim, Donggeun Kim, Jintaek Kang
Summary: This study utilized a LiDAR sensor to estimate tree characteristics in a Cryptomeria japonica forest in Jeju Island, South Korea. Results showed a 100% detection rate of standing trees by LiDAR, with high statistical accuracy in certain pathways and shorter processing times compared to traditional inventory methods. Further research is needed to confirm the efficiency of using backpack personal laser scanning in different forest stands.
Article
Agriculture, Multidisciplinary
Qianwei Liu, Jinliang Wang, Weifeng Ma, Jianpeng Zhang, Yuncheng Deng, Dajiang Shao, Dongfan Xu, Yicheng Liu
Summary: The proposed method utilizes tree height registration to achieve accurate registration of ULS and TLS data, showing good applicability in forest lands with varying slopes. Rotation and translation matrices are calculated through SVD, enabling rough registration and fine registration to be achieved effectively.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Forestry
Zoe Schindler, Thomas Seifert, Jonathan P. Sheppard, Christopher Morhart
Summary: This study provides a set of allometric models for wild cherry trees in agroforestry systems. Through terrestrial laser scanning and quantitative structure models, 70 trees in southwestern Germany were surveyed and analyzed. The derived biomass model, based on volume estimates converted to biomass, shows no significant differences to a previous study conducted on agroforestry trees under a different management regime in the same region.
ANNALS OF FOREST SCIENCE
(2023)
Article
Computer Science, Information Systems
Munish Kumar, Cheemaladinne Kondaiah, Alwyn Roshan Pais, Routhu Srinivasa Rao
Summary: This paper proposes a novel machine learning-based technique to detect phishing URLs in encrypted traffic at the transport layer using TLS 1.2 and TLS 1.3. The proposed model extracts features from the encrypted traffic and performs phishing detection using ML algorithms. Experimental results show that the model effectively detects phishing URLs, achieving an accuracy of 95.40% for Light GBM (LGBM), the highest among the tested algorithms.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Construction & Building Technology
Jose Javier Perez, Maria Senderos, Amaia Casado, Inigo Leon
Summary: The aim of this study is to digitally capture large urban settings quickly. The research design is based on the Design Science Research (DSR) concept, using 3D models to generate solutions. By analyzing and optimizing LiDAR ALS point clouds provided by government bodies, additional TLS capture techniques and UAV-assisted automated photogrammetric techniques, the on-site working time was reduced by more than two thirds, increasing efficiency.
Article
Remote Sensing
Linda Luck, Mirjam Kaestli, Lindsay B. Hutley, Kim Calders, Shaun R. Levick
Summary: Low-cost TLS data acquisition and efficient processing can be used for large-scale assessment of tree volume. A simple voxel model was used to calculate individual tree volume in a 1 ha plot in a tropical savanna woodland, and an allometric model based on aerial surveys explained 99% of variance in total tree volume. This study highlights the utility of lower-cost data acquisition and efficient processing for vegetation mapping and monitoring.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Geography, Physical
Samuel Hillman, Luke Wallace, Karin Reinke, Simon Jones
Summary: Advances in fire behavior modeling are driving the development of next generation fuel inputs, with Unoccupied Aerial Systems (UAS) carrying Light Detection and Ranging (LiDAR) sensors proposed as a potential source of fine fuel properties. This study evaluates the ability of UAS LiDAR point clouds to describe crown fuel elements in eucalypt trees, showing promising results in separating crown fuel and wood compared to dense Terrestrial Laser Scanning (TLS) data.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Dongfeng Jia, Weiping Zhang, Yanping Liu
Summary: This study presents a systematic method for analyzing tunnel deformation, including a rapid and high-accuracy point-cloud registration method using a positioning base made in the laboratory and an improved moving least-squares method for reconstructing the tunnel centerline from unorganized point clouds.
Article
Forestry
Linlin Wu, Yongjun Shi, Fanyi Zhang, Yufeng Zhou, Zhentian Ding, Shixin Lv, Lin Xu
Summary: This study measured the canopy volume, carbon stock, and biomass expansion factor (BEF) of urban greening tree species using terrestrial laser scanning (TLS). The results showed that TLS point cloud data were highly reproducible and accurate. The BEF of urban greening tree species fluctuated irregularly due to human interference and cluttered urban environments. Leaf carbon stocks were influenced by the size of the voxel, and different tree measurement factors had variable degrees of influence on BEF.
Article
Geosciences, Multidisciplinary
Christian Haug Eide, Nick Schofield, Isabelle Lecomte, Simon J. Buckley, John A. Howell
JOURNAL OF THE GEOLOGICAL SOCIETY
(2018)
Article
Computer Science, Interdisciplinary Applications
Aleksandra Anna Sima, Xavier Bonaventura, Miquel Feixas, Mateu Sbert, John Anthony Howell, Ivan Viola, Simon John Buckley
COMPUTERS & GEOSCIENCES
(2013)
Article
Remote Sensing
Tobias H. Kurz, Simon J. Buckley, John A. Howell
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2013)
Article
Geography, Physical
Paul R. T. Newby, Simon J. Buckley, Ian J. Dowman, Jane E. Drummond, David A. Holland, Samantha J. Lavender, Pauline E. Miller, Jan-Peter Muller, Norbert Pfeifer, Laurent Polidori, Bhanu Rekha, Aleksandra A. Sima, Rafal T. Zielinski
PHOTOGRAMMETRIC RECORD
(2013)
Article
Geography, Physical
Aleksandra A. Sima, Simon J. Buckley, Tobias H. Kurz, Danilo Schneider
PHOTOGRAMMETRIC RECORD
(2014)
Article
Environmental Sciences
Aleksandra A. Sima, Simon J. Buckley
Article
Geosciences, Multidisciplinary
Ingrid Anell, Valentin Zuchuat, Anna Daniela Rohnert, Aleksandra Smyrak-Sikora, Simon Buckley, Gareth Lord, Harmon Maher, Ivar Midtkandal, Kei Ogata, Snorre Olaussen, Per T. Osmundsen, Alvar Braathen
Summary: The study provides important insights into tidal amplification and sand redistribution during shallowing on a wide shelf, as well as along-strike process-regime variability resulting from variations in sediment influx.
Article
Geosciences, Multidisciplinary
Tobias H. Kurz, Galo San Miguel, Dominique Dubucq, Jeroen Kenter, Veronique Miegebielle, Simon J. Buckley
Summary: Geological models often use outcrop analogues as a guide for distributing reservoir properties in subsurface models. In carbonate outcrops, studies in sequence stratigraphy, sedimentology, and petrography provide constraints on heterogeneity and diagenetic processes. High-resolution digital outcrop modeling aids in geometric mapping and statistical analysis, while hyperspectral imaging offers enhanced spectral resolution for mapping mineralogical differences. Mapping carbonate composition is challenging in field studies, but spectral analysis can help identify and map dolomite degree. This study uses hyperspectral imaging to accurately identify dolomite bodies and quantify dolomitization in the Alacon Member, Barranco del Mortero, Spain. Hyperspectral imaging, along with photogrammetric outcrop modeling and laboratory analysis, provides more reliable results than conventional field methods.
Proceedings Paper
Horticulture
M. Boonen, N. Gallace, S. Delalieux, A. Sima, B. Delaureprime, D. Bylemans
VIII INTERNATIONAL STRAWBERRY SYMPOSIUM
(2017)
Article
Computer Science, Interdisciplinary Applications
Xavier Bonaventura, Aleksandra A. Sima, Miquel Feixas, Simon J. Buckley, Mateu Sbert, John A. Howell
COMPUTERS & GEOSCIENCES
(2017)
Proceedings Paper
Remote Sensing
A. A. Sima, P. Baeck, D. Nuyts, S. Delalieux, S. Livens, J. Blommaert, B. Delaure, M. Boonen
XXIII ISPRS CONGRESS, COMMISSION I
(2016)
Proceedings Paper
Engineering, Electrical & Electronic
Philippe Serruys, Aleksandra Sima, Stefan Livens, Bavo Delaure, Klaas Tack, Bert Geelen, Andy Lambrechts
2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS)
(2014)
Proceedings Paper
Engineering, Electrical & Electronic
Aleksandra Sima, Stefan Livens, Wouter Dierckx, Bavo Delaure, Klaas Tack, Bert Geelen, Andy Lambrechts
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
(2014)
