Article
Geography, Physical
Chuanfa Chen, Huiming Wu, Ziming Yang, Yanyan Li
Summary: This paper proposes an adaptive coarse-to-fine clustering and terrain feature-aware-based method to reduce data points in the context of terrain modeling using LiDAR-derived point cloud. The results show that the proposed method achieves a good balance between preserving terrain features and maintaining a uniform distribution of data points, and outperforms state-of-the-art methods in terms of reducing root mean square errors of DTMs.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Oliver E. J. Wing, William Lehman, Paul D. Bates, Christopher C. Sampson, Niall Quinn, Andrew M. Smith, Jeffrey C. Neal, Jeremy R. Porter, Carolyn Kousky
Summary: Current flood risk mapping fails to account for increasing threat under climate change. Incorporating new inundation modelling, this study shows a significant increase in US flood risk by 2050 due to climate change alone. The findings highlight the disproportionate burden faced by less advantaged communities and emphasize the need for adaptation and mitigation measures to address these risks.
NATURE CLIMATE CHANGE
(2022)
Article
Environmental Sciences
Olga Pimenova, Craig Roberts, Chris Rizos
Summary: This study calculated a 1'' Bare-Earth Digital Terrain Model for Costa Rica by reducing the Vegetation Bias from NASADEM based on SRTM data. Various global models were used to represent vegetation, and four analytical VB models based on canopy heights and density were evaluated and validated. Results showed that the differences between CRDTM2020 and bare-earth elevations were smaller compared to other global DEMs.
Article
Geography, Physical
Liyang Xiong, Guoan Tang, Xin Yang, Fayuan Li
Summary: Digital terrain analysis (DTA) is crucial in geographical information science research, but current issues in geomorphological studies center around the need to shift focus from morphology to processes and mechanisms, and enhance breakthroughs in fundamental theories and key technologies. Emphasis should be placed on geomorphological ontology, leveraging DEM data for geomorphological research.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Rocky Talchabhadel, Shreedhar Maskey, Manish R. Gouli, Kshitij Dahal, Amrit Thapa, Sanjib Sharma, Amod M. Dixit, Saurav Kumar
Summary: Extreme precipitation in the Himalayan region triggers water and sediment hazards, interacting with the environment and human systems. The 2021 Melamchi disaster resulted from a series of non-extreme events, including landslide damming and heavy rainfall, leading to flooding and extensive damage downstream. A holistic approach, integrating satellite data, modeling, and machine learning techniques, is used to diagnose the causal effects and understand the characteristics of the disaster.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Geochemistry & Geophysics
Ting Lan, Zhanchuan Cai, Ben Ye
Summary: The article calculates the local terrain entropy value of the Moon using the ratio of the elevation value of a local point on the lunar surface to the total elevation value of the neighborhood, and proposes a hierarchical polishing splines algorithm to construct the digital terrain entropy model (DTEM) of the Moon, based on square moving windows of different sizes.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Jinlong Hu, Mingliang Luo, Leichao Bai, Jinliang Duan, Bing Yu
Summary: This paper proposes an integrated algorithm for extracting terrain feature-point clusters based on DEM data. The method includes two main processes: positive terrain-constrained ridgeline extraction and terrain feature-point cluster extraction. The experimental results demonstrate that the extracted terrain feature clusters have accurate spatial positions and good coupling relationships, and they have a significant correlation with geomorphic types and geomorphic zoning.
Article
Environmental Sciences
Sijin Li, Xin Yang, Xingyu Zhou, Guoan Tang
Summary: Terrain significantly affects physical processes and human activities, especially in mountainous areas. This paper proposes a new method based on the digital elevation model to classify binary terrain structure, which increases the completeness of segmented results and reduces classification uncertainty. The method outperforms traditional methods in different landform areas and has the potential for transferability to different digital elevation models. The binary terrain structure benefits the understanding of surface patterns and supports quantitative analysis of land resources, especially in mountainous areas.
Article
Environmental Sciences
Guodong Chen, Yumin Chen, John P. Wilson, Annan Zhou, Yuejun Chen, Heng Su
Summary: In this study, an enhanced residual feature fusion network (ERFFN) is proposed for digital elevation model (DEM) super-resolution (SR). The network effectively utilizes local residual features by grouping residual modules and inserting enhanced spatial residual attention modules. Terrain weight modules are also integrated to improve efficiency. Experimental results show that ERFFN outperforms state-of-the-art methods with significant reduction in mean absolute error and improved accuracy in terrain features.
Article
Energy & Fuels
Donglan Zha, Qian Chen, Lijun Wang
Summary: Improving energy efficiency is crucial for reducing carbon emissions, but it may not have the desired impact due to the rebound effect. This study investigates the carbon rebound effects and risks in households, using an analysis framework that incorporates elastic estimates, environmentally extended multi-regional input-output model, and re-spending model. The simulation results for urban households in China reveal significant carbon rebound effects, with variations in rebound risks among different provinces. These findings highlight the need for the government to consider regional differences and adopt additional measures to mitigate the carbon rebound effect.
Article
Geosciences, Multidisciplinary
Liyang Xiong, Sijin Li, Guoan Tang, Josef Strobl
Summary: Terrain is a crucial natural geographic feature that plays a significant role in physical processes. The fields of geomorphometry and terrain analysis have provided abundant topographic data and tools, which have contributed to the understanding of geomorphology, hydrology, soil science, and geographic information systems (GIS). Recent advancements in analysis theory, methods, data acquisition techniques, and analysis platforms have facilitated the interpretation of topographic characteristics and associated mechanisms and processes. Future directions include addressing challenges in data collection and construction, expanding the application of efficient analysis frameworks and tools, and integrating terrain analysis with other disciplines for cross-analysis purposes.
EARTH-SCIENCE REVIEWS
(2022)
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
Engineering, Geological
F. J. Gonzalez, J. A. Vallejos, E. Rojas, P. Landeros
Summary: This study evaluates the impact of preconditioning on the seismic rock mass response using an Epidemic-Type Aftershock Sequence (ETAS) model. The results show that hydraulic fracturing has a significant effect on reducing the seismic hazard and the background levels of seismicity.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2022)
Article
Geochemistry & Geophysics
Oleg Odalovic, Klemen Medved, Sofija Naod
Summary: Vertical gravity gradient, a physical quantity indicating the change of gravity with height, plays a significant role in geodetic and geophysical modeling. This research used a normal gravity field and digital terrain models to simulate the vertical gravity gradient, without relying on other sources of information. Validation measurements were conducted using relative gravimeters at multiple points, and the results showed that the quality of the modeled values is directly related to the resolution of the digital terrain model.
JOURNAL OF GEODESY
(2022)
Article
Environmental Sciences
Lucas Santos Santana, Gabriel Araujo e Silva Ferraz, Diego Bedin Marin, Rafael de Oliveira Faria, Mozarte Santos Santana, Giuseppe Rossi, Enrico Palchetti
Summary: This study explores the use of digital terrain models obtained from remotely piloted aircraft (RPA) for efficient data collection in precision coffee projects. Flight configurations and image processing were evaluated, and the results show the potential of this technique for accurate terrain measurement.
Article
Engineering, Geological
Stephane Lambert, Bernd Kister
ENGINEERING GEOLOGY
(2018)
Article
Mechanics
J. B. Coulibaly, M. -A. Chanut, S. Lambert, F. Nicot
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2018)
Article
Engineering, Geological
Jibril B. Coulibaly, Marie-Aurelie Chanut, Stephane Lambert, Francois Nicot
ROCK MECHANICS AND ROCK ENGINEERING
(2019)
Article
Engineering, Geological
Stephane Lambert, Frank Bourrier, Philippe Gotteland, Francois Nicot
CANADIAN GEOTECHNICAL JOURNAL
(2020)
Article
Engineering, Mechanical
Loic Dugelas, Jibril B. Coulibaly, Franck Bourrier, Stephane Lambert, Marie-Aurelie Chanut, Ignacio Olmedo, Francois Nicot
INTERNATIONAL JOURNAL OF IMPACT ENGINEERING
(2019)
Article
Engineering, Geological
Franck Bourrier, David Toe, Bruna Garcia, Julien Baroth, Stephane Lambert
Summary: Rockfall propagation models are commonly used for assessing rockfall hazard quantitatively. However, their capacities and limitations are difficult to assess due to limited experimental data at the slope scale. This article presents experiments conducted in a quarry in France, showing the significant influence of topography on block propagation.
Article
Engineering, Geological
Stephane Lambert, David Toe, Alessio Mentani, Franck Bourrier
Summary: This article proposes a procedure for developing tools to quantify the on-site efficiency of any rockfall barrier using meta-modeling techniques. The study shows that the efficiency of the barrier is highly site-dependent, with significant differences in real situations.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Engineering, Geological
Agathe Furet, Pascal Villard, Jean-Philippe Jarrin, Stephane Lambert
Summary: This study investigates an innovative protection structure for gravity-driven natural hazards, such as landslides, consisting of a vertical wall made of interconnected concrete blocks. The structure offers advantages of reduced space requirements, versatility, and easy maintenance. The study examines the response of the structure under impact using real-scale experiments and numerical simulations. The results show that the numerical model effectively simulates the deformation and time evolution of the structure's impact response.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Engineering, Civil
Stephane Lambert, Franck Bourrier, Ana-Rocio Ceron-Mayo, Loic Dugelas, Fabien Dubois, Guillaume Piton
Summary: This article addresses the challenge of modeling small-scale flexible barriers and proposes similitude criteria based on flow velocity, barrier geometry, and mechanical properties. Numerical simulations and flume experiments are conducted to validate these criteria and assess the importance of considering the mechanical characteristics of the barrier components. The results demonstrate the feasibility of this approach and compare deformations under different loading conditions.
JOURNAL OF HYDRAULIC ENGINEERING
(2023)
Article
Engineering, Civil
Guillaume Piton, Ana Rocio Ceron Mayo, Stephane Lambert
Summary: This paper presents a comprehensive analysis of the interactions between large wood (LW) and flexible barriers using small scale models. It proposes a dimensionless criterion to compute blockage probability of single logs and provides an equation to compute flow depth at a barrier accounting for head losses related to large numbers of logs. The study also investigates the conditions leading to the release of LW when the barrier is overwhelmed. The results show that flexible barriers are effective in trapping LW.
JOURNAL OF HYDRAULIC ENGINEERING
(2023)
Article
Engineering, Civil
Stephane Lambert, Firmin Fontaine, Guillaume Piton
Summary: Flexible barriers have shown promise in trapping woody debris to prevent it from reaching hazardous areas. Small-scale experiments have been conducted to investigate the interaction between the flow and the barrier, with a focus on the influence of various parameters on the loading experienced by the barrier. The findings highlight the complexity of the relationship between the barrier loading and the characteristics of the trapped logs and accumulation.
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING
(2023)
Article
Engineering, Civil
Ritesh Gupta, Franck Bourrier, Vincent Acary, Stephane Lambert
Summary: This article presents the development and calibration of a numerical model simulating the response of a novel rockfall protection structure. The model is calibrated using real-scale experiments and Bayesian interface statistical learning method. The calibrated model accurately predicts the dynamic response of the experimental structure.
ENGINEERING STRUCTURES
(2023)
Article
Geosciences, Multidisciplinary
Guillaume Piton, Toshiyuki Horiguchi, Lise Marchal, Stephane Lambert
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
G. La Porta, S. Lambert, F. Bourrier
VI INTERNATIONAL CONFERENCE ON PARTICLE-BASED METHODS (PARTICLES 2019): FUNDAMENTALS AND APPLICATIONS
(2019)
Article
Physics, Fluids & Plasmas
Adel Albaba, Stephane Lambert, Thierry Faug
