Article
Geography, Physical
M. Tomkova, M. Potuckova, J. Lysak, M. Jancovic, L. Holman, V. Vilimek
Summary: Sandstone rock outcrops in Central Europe are unique and mostly covered by vegetation, making it challenging to distinguish between ground and non-ground points. This study proposes three filtering methods, namely spatially conditioned filtering, object-oriented classification, and filtering with additional terrain data, to overcome this challenge. The object-oriented classification method achieved good results in distinguishing between rock pillars and trees in rock cities.
Article
Environmental Sciences
Robert Duchnowski, Patrycja Wyszkowska
Summary: This paper presents the application of M-split estimation in processing TLS data to model vertical displacement of terrain. Results show that the absolute M-split estimation method outperforms conventional methods in handling TLS data disturbed by outliers.
Article
Environmental Sciences
J. Kostensalo, L. Mehtatalo, S. Tuominen, P. Packalen, M. Myllymaki
Summary: This study developed a framework for building structurally representative tree maps using airborne laser scanning data and ground measurements, which can accurately map the attributes of forests. Compared to other methods, this approach improves the accuracy of mapping forest attributes.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Hunsoo Song, Jinha Jung
Summary: Digital terrain model (DTM) creation is a modeling process that represents the Earth's surface. An aptly designed DTM generation method tailored for intended study can significantly streamline ensuing processes and assist in managing errors and uncertainties, particularly in large-area projects. We introduce a new DTM generation method that performs object-based ground filtering, which is particularly beneficial for urban topography, offering unique features and high accuracy.
Article
Engineering, Multidisciplinary
Manohar Yadav
Summary: The paper proposes a road extraction method based on Airborne Laser Scanning (ALS) data, which effectively differentiates road and non-road points by combining radiometric, geometric, and statistical constraints, achieving significant improvement in extracting road network information.
Article
Environmental Sciences
Huxiong Li, Weiya Ye, Jun Liu, Weikai Tan, Saied Pirasteh, Sarah Narges Fatholahi, Jonathan Li
Summary: This study introduces a novel workflow for automated Digital Terrain Model (DTM) extraction from Airborne LiDAR point clouds based on a convolutional neural network and transfer learning. The results demonstrate that the proposed workflow establishes a superior DTM extraction accuracy with a root mean square error of only 7.3 cm for the interpolated DTM at 1 m resolution.
Article
Plant Sciences
David Pont, Heidi S. Dungey, Mari Suontama, Grahame T. Stovold
Summary: Utilizing ALS data for individual tree phenotyping revealed the importance of incorporating competition metrics in models to explain previously unexplained phenotypic variation and improve heritability estimates. The best ACE models showed significant reductions in residuals and enhancements in narrow sense heritabilities, particularly suitable for research trials susceptible to spatial effects.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Environmental Sciences
Libo Cheng, Rui Hao, Zhibo Cheng, Taifeng Li, Tengxiao Wang, Wenlong Lu, Yulin Ding, Han Hu
Summary: This study focuses on the challenges of ground filtering in large scenes and introduces an elevation offset-attention (E-OA) module that considers global semantic features and integrates them into existing network frameworks. The experimental results demonstrate that this module significantly improves the ground filtering performance and surpasses traditional methods and other competing attention frameworks.
Article
Environmental Sciences
Feng Li, Haihong Zhu, Zhenwei Luo, Hang Shen, Lin Li
Summary: This study proposes an improved adaptive surface interpolation filter with a multilevel hierarchy, which uses cloth simulation and relief amplitude to separate ground and nonground points with high precision. The method demonstrates superior performance in filtering ALS point cloud data, retaining discontinuous terrain features with steep slopes and terraces.
Article
Environmental Sciences
Maria Sanchez-Aparicio, Jose Antonio Martin-Jimenez, Enrique Gonzalez-Gonzalez, Susana Laguela
Summary: This work explores the use of mobile laser scanning to analyze and evaluate the orography of urban areas, with a focus on its importance for electrifying public transport and electric buses. The study determines that a minimum point density of 1 point/m(2), measured with aerial laser scanning, is sufficient for estimating slope. Based on this, a route design for public transport is presented, taking into consideration key transit points and maximum slope requirements. The analysis shows that implementing electric buses rather than diesel ones in cities with steep slopes (up to 7%) can significantly reduce greenhouse gas emissions (32.59%) and economic costs (18.10%).
Article
Ecology
Marc Fuhr, Etienne Lalechere, Jean-Matthieu Monnet, Laurent Berges
Summary: Building a network of interconnected overmature forests is crucial for biodiversity conservation. LiDAR technology can accurately assess forest structural parameters and identify overmature forest patches over large areas. In this study, an index combining forest structural maturity attributes was developed to characterize the maturity of field plots. LiDAR metrics, along with elevation, slope, and echo intensity distribution, were important for predicting forest maturity. The model showed a high correlation between observed and predicted maturity values, indicating accurate ranking of field plots.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2022)
Article
Engineering, Electrical & Electronic
Hoang-An Le, Florent Guiotte, Minh-Tan Pham, Sebastien Lefevre, Thomas Corpetti
Summary: This article proposes a data-driven method to directly extract digital terrain models from airborne laser scanning point clouds. By collecting a large-scale dataset and conducting experiments, the effectiveness of this method is demonstrated, providing important references for research in the field of airborne laser scanning.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Hans Ole orka, Marie-Claude Jutras-Perreault, Jaime Candelas-Bielza, Terje Gobakken
Summary: Forest ecosystems play a crucial role in providing habitats and services for various species. The concept of woodland key habitats (WKH) is important for biodiversity management, and the current study suggests using airborne laser scanning (ALS) data to automate the delineation of geomorphological WKH. By combining the results with a map, field surveyors can be guided more effectively. The study concludes that further automation could improve the efficiency of WKH inventories.
Article
Geography, Physical
Yaping Lin, George Vosselman, Michael Ying Yang
Summary: This paper proposes a weakly supervised approach for semantic segmentation of ALS point clouds, achieving efficient and accurate segmentation on large-scale datasets through the use of pseudo labels and improved network structures. Experimental results demonstrate that the method outperforms traditional approaches in terms of performance.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Plant Sciences
Man Hu, Timo P. Pitkanen, Francesco Minunno, Xianglin Tian, Aleksi Lehtonen, Annikki Makela
Summary: The study presents a method called TSMtls to accurately estimate individual branch biomass by combining tree structure models and TLS data. The results showed promising accuracy and consistency on Scots pine trees, outperforming other TLS-based approaches.
Editorial Material
Chemistry, Multidisciplinary
Artur Janowski, Jakub Szulwic, Pawel Tysiac
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Waldemar Kaminski
Summary: This article discusses the use of hydrostatic leveling in vertical displacement measurements, introduces the composition and principles of hydrostatic leveling systems, and proposes the concept of comprehensive determination of mean error of vertical displacement. This provides an evaluation method for the accuracy of the calculation results.
Article
Green & Sustainable Science & Technology
Rafal Kazmierczak, Agnieszka Szczepanska, Cezary Kowalczyk, Grzegorz Grunwald, Artur Janowski
Summary: This paper explores the application of AR technology in water tourism, introducing the Maritime Educational Trip system and developing a prototype Android application that combines e-navigation with a knowledge base. The developed solutions demonstrate how integrating the real world with a computer-generated world can enhance the tourism experience.
Article
Green & Sustainable Science & Technology
Artur Janowski, Rafal Kazmierczak, Cezary Kowalczyk, Jakub Szulwic
Summary: This pilot study aimed to compare three methods of image recognition for apple detecting and counting, ultimately recommending a YOLO algorithm based method for orchard owners to count growing apples using smartphones equipped with necessary technology. The study conducted tests on four trees in a university orchard, using a dataset of 1102 apple images and 3800 background images.
Article
Environmental Sciences
Wioleta Blaszczak-Bak, Joanna Janicka, Tomasz Kozakiewicz, Krystian Chudzikiewicz, Grzegorz Bak
Summary: Airborne Laser Scanning (ALS) is a commonly used technology in forest research for collecting data on tree height, density, and biomass. This study proposes a new ALS data processing methodology that utilizes free data and software to minimize costs and improve stand statistics in forest districts.
Article
Environmental Sciences
Riccardo Palama, Michele Crosetto, Jacek Rapinski, Anna Barra, Maria Cuevas-Gonzalez, Oriol Monserrat, Bruno Crippa, Natalia Kotulak, Marek Mroz, Magdalena Mleczko
Summary: This work presents a methodology using interferometric synthetic aperture radar (InSAR) to analyze and monitor ground motion caused by underground mining activities in the Legnica-Glogow copper district, Poland. The technique utilizes a stack of Sentinel-1 synthetic aperture radar images and a small baseline multitemporal approach. The estimated displacement maps and time series are validated using global navigation satellite system (GNSS) measurements. The method is also used to analyze seismic tremors triggered by underground mining activities.
Article
Construction & Building Technology
Wioleta Blaszczak-Bak, Czeslaw Suchocki, Maria Mrowezynska
Summary: Terrestrial Laser Scanning (TLS) is a non-invasive remote sensing technology for examining building wall conditions. This paper presents a TLS point cloud optimization method based on a modified Optimum Dataset method, which reduces the number of observations while maintaining data quality for accurate 3D modeling.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Environmental Studies
Malgorzata Renigier-Bilozor, Artur Janowski, Marek Walacik, Aneta Chmielewska
Summary: The objective of the study was to propose a methodology (called HO-MAR) for the objective identification of homogenous areas to indicate similar property transactions, enabling high efficacy in property submarkets identification through automated solutions.
Article
Environmental Sciences
Aneta Chmielewska, Malgorzata Renigier-Bilozor, Artur Janowski
Summary: Residential properties are essential for the environment, economy, and human well-being. Real estate analysis has become a crucial research topic due to ideological and technological changes. It is challenging to analyze properties due to their complexity. This paper explores the utilization of soft computing methods for selecting representative property models, leading to a more realistic understanding of uncertainty and imprecise residential environments.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Joanna Janicka, Jacek Rapinski, Wioleta Blaszczak-Bak
Summary: This paper presents an improved method for the detection and dimensioning of adjacent plane displacement based on terrestrial laser scanning data. The results show that this method has great potential in detecting two-plane displacement using terrestrial laser scanning data.
Article
Business, Finance
Malgorzata Renigier-Bilozor, Artur Janowski
Summary: This study introduces the concept of a Property Cognitive Information System (PCIS) to analyze similarity in the real estate market in an innovative way, departing from conventional data analysis practices and integrating artificial intelligence technology. The aim of this research is to broaden the understanding and applicability of data analysis techniques in the domain of real estate market through the exploration of similarity using the PCIS and AI-based solutions.
REAL ESTATE MANAGEMENT AND VALUATION
(2023)
Meeting Abstract
Regional & Urban Planning
Czeslaw Suchocki, Wioleta Blaszczak-Bak, Joanna Janicka, Andrzej Dumalski
JOURNAL OF PLANNING LITERATURE
(2022)
Article
Environmental Studies
Malgorzata Renigier-Bilozor, Artur Janowski, Marek Walacik, Aneta Chmielewska
Summary: The study aims to assess the significance of real estate attributes based on potential investors' emotions using artificial intelligence, machine learning, and computer vision. The development of a reliable algorithm involves identifying factors that may affect the final solution, from behavioral aspects to technological possibilities.
JOURNAL OF HOUSING AND THE BUILT ENVIRONMENT
(2022)
Article
Environmental Studies
Malgorzata Renigier-Bilozor, Aneta Chmielewska, Marek Walacik, Artur Janowski, Natalija Lepkova
Summary: Real estate investment decisions require careful analysis of information due to its high capital-intensive nature. The availability of information, market specificity, and unpredictable changes make real estate investments subject to considerable risk and uncertainty. Different methods are needed to find solutions optimal for multidimensional real functions, taking into account the global maximum.
JOURNAL OF HOUSING AND THE BUILT ENVIRONMENT
(2021)