Article
Chemistry, Analytical
Shilun Yin, Donghai Xie, Yibo Fu, Zhibo Wang, Ruofei Zhong
Summary: This study proposes a novel uncontrolled two-step iterative calibration algorithm that eliminates motion distortion and improves the accuracy of lidar-IMU systems. The algorithm corrects the distortion of rotational motion by matching the original inter-frame point cloud and then matches the point cloud with IMU after attitude prediction. The algorithm performs iterative motion distortion correction and rotation matrix calculation to obtain high-precision calibration results, demonstrating high accuracy, robustness, and efficiency compared to existing algorithms.
Article
Environmental Sciences
Joan Grau, Kang Liang, Jae Ogilvie, Paul Arp, Sheng Li, Bonnie Robertson, Fan-Rui Meng
Summary: The study used UAV and photogrammetry method to map boundaries of riparian zones, showing that high-resolution UAV-derived DEM had high agreement with field-measured riparian zones, making it a suitable approach in agricultural watersheds.
Article
Environmental Sciences
Nigel Van Nieuwenhuizen, John B. Lindsay, Ben DeVries
Summary: Fine-resolution LiDAR DEMs can accurately represent surface features such as road and railway embankments. A novel algorithm was proposed to identify embankments in LiDAR DEMs, achieving moderate to high accuracy. The technique showed good performance on test DEMs from southwest Ontario, Canada, with acceptable processing times for practical applications.
Article
Geosciences, Multidisciplinary
Zachary S. Brecheisen, Daniel deB Richter
Summary: Gully mapping techniques can successfully identify gullies, but the practices for estimating gully volumes need further development. Gully gap-interpolation for volume estimation often does not consider landscape microtopography, leading to potential underestimation or overestimation of gully volumes.
Article
Environmental Sciences
Tao Li, Jun Fan, Yanyang Liu, Ruifeng Lu, Yusheng Hou, Jing Lu
Summary: This paper proposes an independent parameter decomposition (IPD) method to perform surveying and mapping (SAM) calibration on GF-3 satellite interferogram data and generate high-accuracy digital elevation models (DEMs). The method resolves geometric and interferometric parameters to improve both location and height accuracy. Experimental results demonstrate the correctness and effectiveness of the proposed method, providing a technical basis for SAM calibration using GF-3 interferograms at the 1:50,000 scale in China.
Article
Robotics
Feiyi Chen, Liang Li, Shuyang Zhang, Jin Wu, Lujia Wang
Summary: This letter proposes a novel targetless extrinsic calibration algorithm called PBACalib for dense LiDAR-camera systems based on plane-constrained bundle adjustment (PBA). The algorithm utilizes feature points derived from a prominent plane in the scene and iteratively minimizes the reprojection error. A maximum likelihood estimator (MLE) is designed to consider the uncertainty information of the measurements. The robustness and accuracy of the method are demonstrated through simulation and real-world experiments, outperforming another targetless method.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Chemistry, Analytical
Lazaros Grammatikopoulos, Anastasios Papanagnou, Antonios Venianakis, Ilias Kalisperakis, Christos Stentoumis
Summary: In this paper, a simple and intuitive approach for estimating the calibration of a Lidar instrument with respect to a camera and their synchronization shifting during data acquisition is presented. The calibration is achieved by estimating the 3D rigid transformation of the camera system with respect to the Lidar frame based on 2D to 3D point correspondences. The AprilTag fiducial marker and custom-made retroreflective target are used for extracting 2D points and detecting Lidar points, respectively. After the geometrical calibration, the temporal calibration is carried out by matching the position of AprilTag to the corresponding Lidar target. The proposed method provides highly accurate results in both single-camera-to-Lidar calibration and multi-camera texturing scheme of city point clouds.
Article
Chemistry, Analytical
Xudong Lv, Shuo Wang, Dong Ye
Summary: In this paper, a novel CNN-based LiDAR-camera extrinsic calibration algorithm named CFNet is proposed, which introduces a correlation layer and innovatively defines a calibration flow to improve calibration accuracy by considering geometric information, outperforming current CNN methods on the KITTI dataset.
Article
Food Science & Technology
Xuefeng Wang, Wenbin Wu, Huapo Jia
Summary: The mechanical properties of wheat grains were measured and analyzed using discrete element software. Optimal parameters were calculated and incorporated into the EDEM model for computation, resulting in a low relative error between the calculated and observed values, confirming the accuracy and feasibility of the calibration method.
FOOD SCIENCE & NUTRITION
(2023)
Article
Environmental Sciences
Andrej Novak, Kristof Ostir
Summary: Alpine topography is shaped by complex geomorphological processes, with Quaternary sedimentary bodies being the youngest and most diverse landforms. The use of digital elevation models and visualization techniques such as analytical hillshading can aid in identifying and studying Quaternary sedimentary bodies and processes in alpine landscapes.
Article
Environmental Sciences
Jinghao Lei, Zhikun Ren, Takashi Oguchi, Peizhen Zhang, Shoichiro Uchiyama
Summary: This study proposes a method for landslide volume estimation using differential digital elevation models (DEMs) and tests it in the Chuetsu region. The research reveals that the Chuetsu earthquake mainly roughens the topography in low-elevation areas, and long-term crustal rebound also modifies the topography.
Article
Environmental Sciences
Joan Grau, Kang Liang, Jae Ogilvie, Paul Arp, Sheng Li, Bonnie Robertson, Fan-Rui Meng
Summary: Defining stream channels in a watershed is crucial for assessing freshwater habitat availability. The study used UAV and photogrammetry to obtain 3D DSM for estimating channel width. Results showed that high-resolution UAV-derived DEM performed best with SG method, while low-resolution LiDAR DEM performed best with VSP method. This suggests that UAVs can efficiently map small stream channels for monitoring local ecosystem changes.
Article
Computer Science, Artificial Intelligence
Xingchen Li, Yuxuan Xiao, Beibei Wang, Haojie Ren, Yanyong Zhang, Jianmin Ji
Summary: This paper presents a thorough review of automatic targetless LiDAR-camera calibration methods. The methods are divided into four categories based on how potential cues in the environment are utilized, and an in-depth overview is provided for each category, serving as a potential guidance for researchers in the related fields.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Chemistry, Multidisciplinary
Chang Yuan, Shusheng Bi, Jun Cheng, Dongsheng Yang, Wei Wang
Summary: This study presents a low-cost method to calibrate the matching error between a rotating 2D lidar and a motor, achieving the elimination of shape and attitude errors through optimization of sequence and installation of a triangular plate. The accuracy of the method meets the requirements of indoor autonomous mobile robots' 3D mapping, while significantly reducing costs.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Chemical
Marina Sousani, Stefan Pantaleev
Summary: Handling bulk solids in the form of powders is a fundamental process in various manufacturing industries. This study presents a simulation of an experimental dosing system used in additive manufacturing (AM) and establishes models of powders with different flowability. The results show good agreement between the experimental data and the simulation results, providing a better understanding of material behavior.
Article
Engineering, Geological
Emanuele Intrieri, Giovanni Gigli, Teresa Gracchi, Massimiliano Nocentini, Luca Lombardi, Francesco Mugnai, William Frodella, Giovanni Bertolini, Ennio Carnevale, Massimiliano Favalli, Alessandro Fornaciai, Jordi Marturia Alavedra, Lorenzo Mucchi, Luca Nannipieri, Xavier Rodriguez-Lloveras, Marco Pizziolo, Rosa Schina, Federico Trippi, Nicola Casagli
ENGINEERING GEOLOGY
(2018)
Article
Environmental Sciences
Federico Di Traglia, Sonia Calvari, Luca D'Auria, Teresa Nolesini, Alessandro Bonaccorso, Alessandro Fornaciai, Antonietta Esposito, Antonio Cristaldi, Massimiliano Favalli, Nicola Casagli
Article
Multidisciplinary Sciences
A. Fornaciai, M. Favalli, L. Nannipieri
SCIENTIFIC REPORTS
(2019)
Article
Environmental Sciences
Federico Di Traglia, Alessandro Fornaciai, Massimiliano Favalli, Teresa Nolesini, Nicola Casagli
Article
Geochemistry & Geophysics
Alessandro Fornaciai, Daniele Andronico, Massimiliano Favalli, Letizia Spampinato, Stefano Branca, Luigi Lodato, Alessandro Bonforte, Luca Nannipieri
Summary: Mapping lava flows during eruptions is crucial for understanding their dynamics, and new photogrammetric methods offer an effective way to extract and analyze data from past events. This study demonstrates the use of multi-view and single-view photogrammetry to reconstruct the evolution of a lava flow field at Mt. Etna, providing insights into the formation and development of complex lava fields.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Geosciences, Multidisciplinary
Tomaso Esposti Ongaro, Mattia de' Michieli Vitturi, Matteo Cerminara, Alessandro Fornaciai, Luca Nannipieri, Massimiliano Favalli, Benedetta Calusi, Jorge Macias, Manuel J. Castro, Sergio Ortega, Jose M. Gonzalez-Vida, Cipriano Escalante
Summary: A benchmark study compared different numerical modeling approaches for tsunami generation and propagation in an active volcanic context, finding that non-hydrostatic models coupled with a multilayer approach offer the best description of waveforms. Near-field waveform modeling is critical for tsunami early warning at Stromboli.
FRONTIERS IN EARTH SCIENCE
(2021)
Correction
Multidisciplinary Sciences
A. Fornaciai, M. Favalli, L. Nannipieri
SCIENTIFIC REPORTS
(2021)
Article
Geography, Physical
Federico Di Traglia, Alessandro Fornaciai, Daniele Casalbore, Massimiliano Favalli, Irene Manzella, Claudia Romagnoli, Francesco Latino Chiocci, Paul Cole, Teresa Nolesini, Nicola Casagli
Summary: This study analyzes the morphological changes induced by eruptive activity at Stromboli volcano in July-August 2019, revealing the impact of volcanic activity on the landscape, particularly the instability of the Sciara del Fuoco area. The integration of topographic and bathymetric data from different periods allows for a comprehensive understanding of the cumulative effects of different processes.
Article
Geosciences, Multidisciplinary
Agnese Turchi, Federico Di Traglia, Roberto Gentile, Alessandro Fornaciai, Iacopo Zetti, Riccardo Fanti
Summary: This study applies an innovative method to estimate the relative risk of buildings exposed to seismic and tsunami hazards in Stromboli, Italy. It combines qualitative-quantitative analysis and historical-geographical settlement analysis to provide a detailed assessment of the region's risk.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Environmental Sciences
Daniele Casalbore, Federico Di Traglia, Claudia Romagnoli, Massimiliano Favalli, Teresa Gracchi, Carlo Tacconi Stefanelli, Teresa Nolesini, Guglielmo Rossi, Matteo Del Soldato, Irene Manzella, Paul Cole, Nicola Casagli, Francesco Latino Chiocci
Summary: This study demonstrates the importance of integrated analysis of multi-temporal remote sensing and marine geophysical data in characterizing the morphological changes and erosive potential of the Sciara del Fuoco at Stromboli. The analysis also provides insights into the factors controlling the emplacement of different lava flows and overflows.
Article
Green & Sustainable Science & Technology
Rosanna Bonasia, Agnese Turchi, Paolo Madonia, Alessandro Fornaciai, Massimiliano Favalli, Andrea Gioia, Federico Di Traglia
Summary: This paper presents numerical modelling results for erosive phenomena and flooding in volcanic areas. The methodology includes runoff estimation, land use analysis, and hydraulic and erosion modelling using the Iber software. The approach was applied to Vulcano Island (Italy) and showed consistent results with field observations.
Article
Geosciences, Multidisciplinary
Magdalena Oryaelle Chevrel, Massimiliano Favalli, Nicolas Villeneuve, Andrew J. L. Harris, Alessandro Fornaciai, Nicole Richter, Allan Derrien, Patrice Boissier, Andrea Di Muro, Aline Peltier
Summary: Piton de la Fournaise volcano on La Reunion island is one of the most active in the world with regular eruptions, primarily occurring within the Enclos caldera. Lava flow hazard maps provide insight into potential future lava flow scenarios, with Enclos being the most likely location for eruptions. Regular updates of topography and hazard maps are essential for effective risk mitigation in this dynamic volcanic environment.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Chemistry, Analytical
Lorenzo Mucchi, Sara Jayousi, Alessio Martinelli, Stefano Caputo, Emanuele Intrieri, Giovanni Gigli, Teresa Gracchi, Francesco Mugnai, Massimiliano Favalli, Alessandro Fornaciai, Luca Nannipieri
Article
Geography, Physical
A. Securo, C. Del Gobbo, L. Rettig, S. Pillon, A. De Luca, D. Fontana, E. Benedetti Fasil, R. R. Colucci
Summary: Small glaciers in temperate mountain regions have experienced significant reduction and unprecedented melt rates in recent years. Some glaciers have transitioned from clean ice to debris-covered or even rock glaciers. This study examines the surface elevation change of the Popera Alto glacier in the Sesto Dolomites using LiDAR and Structure from Motion surveys, and analyzes its evolution in terms of surface cover and geomorphic processes. The glacier has lost an average of 0.35 m water equivalent per year over the past 16 years, with active modification of its surface cover by geomorphic processes. The role of debris and local topography feedback has allowed the resilience of the glacier, leading to a marked difference between the current environmental equilibrium line altitude (envELA) and the effective ELA (effELA) of the glacier.
Article
Geography, Physical
Zhenzhen Yan, Yaolin Shi, Lili Kang, Xiangtao Fan
Summary: This study proposes a quantitative regional deformation model based on global positioning system (GPS) data to quantitatively analyze the morphological evolution of rivers in the Three Rivers Region. It finds that tectonic deformation phases significantly control regional landscape development and drainage features.
Article
Geography, Physical
Said Mukhtar Ahmad, Nitheshnirmal Sadhasivam, Mona Lisa, Luigi Lombardo, Mustafa Kemal Emil, Amira Zaki, Cees J. Van Westen, Islam Fadel, Hakan Tanyas
Summary: In this study, we investigated a large slow-moving landslide in Northern Pakistan, using Interferometric Synthetic Aperture Radar (InSAR) analysis. Our results showed that the crown of the landslide is moving faster than the surrounding regions, while the footslope experienced high deformations. We discussed the possible roles of meteorologic and anthropogenic factors in causing these deformations.
Article
Geography, Physical
Shuang Bian, Xibin Tan, Yiduo Liu, Suoya Fan, Junfeng Gong, Chao Zhou, Feng Shi, Michael A. Murphy
Summary: The Yarlung River's drainage divide is primarily moving north due to variations in precipitation across the Himalayas. The Gangdese drainage divide shows predominantly northward and southward migration, controlled by base-level rise and downstream influences. The presence of north-trending rifts separates the drainage divides into five zones, each with a distinct migration pattern.
Article
Geography, Physical
Joon-Young Park, Seok Yoon, Deuk-Hwan Lee, Seung-Rae Lee, Hwan-Hui Lim
Summary: This study developed a multiple-regression model to estimate site-specific average growth rates of debris flow events. The proposed model was validated through a case study and showed reasonable predictions of debris flow velocities and heights.
Article
Geography, Physical
Nicholas Reilly Mccarroll, Arnaud Temme
Summary: New geochronological data from hillslope boulder armor in the Flint Hills reveal the rates and timing of lateral retreat in the landscape. Surfaces of limestone boulders dating back to the Pleistocene era were found, and the ages of the hillslope armor increased with distance from the limestone bench. The estimated rate of lateral retreat in this landscape is 0.02 mm/yr.
Article
Geography, Physical
Xinbo Yao, Yuntao Tian
Summary: By studying the Longmenshan-Minshan drainage divide, we found that it has reached a dynamic steady state, indicating a balance between erosion and rock uplift. This study also reveals the process of formation and evolution of the divide and raises questions about the effectiveness of divide migration metrics.
Article
Geography, Physical
Junhui Yu, Pin Yan, Yanlin Wang, Guangjian Zhong, Changliang Chen
Summary: The seafloor mounds in the Chaoshan Depression of the South China Sea are identified as mud volcanoes, with fluids coming from underlying mud-fluid diapirs. The hydrocarbon gases feeding the mud volcanoes and diapirs are reasoned to originate from deep Mesozoic source rocks, indicating significant Mesozoic hydrocarbon potential in the Chaoshan Depression.
Article
Geography, Physical
Marius Huber, Luc Scholtes, Jerome Lave
Summary: This paper investigates the relationships between hillslope stability and fabric anisotropy of brittle rock materials and the implications for landscape shaping. It explores the different stability modes and movement characteristics of anisotropic materials, and demonstrates the significant control of material anisotropy on landscape shaping.
Article
Geography, Physical
Shubhra Sharma, Anil D. Shukla
Summary: The study investigates the relationship between glacial dynamics and lake sedimentation during the mid-Holocene climate variability in the Southern Zanskar ranges. It utilizes geomorphological disposition, elemental geochemistry, and optical chronology of relict lake sediment to reconstruct the pattern of minor glacier responses to climate variability. The results indicate six centennial to millennial-scale climatic phases, with warmer phases represented by decreased mineralogical fine grain flux and increased coarse grain flux. The study highlights the potential of relict lake sediment and para/peri-glacial landforms in understanding glacial dynamics and climate change during the Holocene.
Article
Geography, Physical
Jean-Francois Bernier, Sydney W. Meury, Patrick Lajeunesse
Summary: In this study, an approach combining various data and observation methods was proposed to improve the monitoring of landfast ice dynamics and its geomorphic impact on sedimentary systems. The results demonstrate the ability of the approach to accurately measure interannual variations in landfast ice and constrain geomorphic changes. Additionally, the study found a strong relationship between the severity of freezing seasons and the response of landfast ice to hydrometeorological events, with different geomorphic responses observed under different winter conditions.
Article
Geography, Physical
Heping Shu, Fanyu Zhang
Summary: This study investigates the relationship between susceptibility of soil-water hazards and human activities, geoheritage sites in the Loess Plateau, China. Landslide and gully erosion susceptibility were obtained using gradient boosting and support vector machines, and a hazard matrix was formed to couple landslide and gully erosion susceptibility. The study found different trends in the magnification times of soil-water hazards chain under different scenarios.
Article
Geography, Physical
Guangqiang Qian, Zhuanling Yang, Xuegang Xing, Zhibao Dong, Youyuan Guo
Summary: Granule ripples are aeolian landforms armored against erosion by coarse grains. This study investigates their seasonal morphological evolution and migration in the Sanlongsha Dune Field. The findings show that wind events, especially those exceeding the threshold velocities of coarse grains, significantly influence the morphodynamics of granule ripples. The study highlights the importance of considering the reptation and saltation of coarse grains in future research on granule ripples.