Article
Construction & Building Technology
Xiaoli Chen, Yijian Chuan, Yankun Wei
Summary: The study calculates the volume of landslides near the epicenter of the 2008 Wenchuan earthquake by comparing pre- and post-earthquake DEMs, emphasizing the importance of considering DEM resolution and eliminating background errors of individual landslides. The volume calculated by the proposed method may be a minimum value compared to existing empirical formulas, making it suitable for characterizing coseismic landslides quantitatively in key localities of major earthquake affected areas.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Environmental Sciences
Robert Clasing, Enrique Munoz, Jose Luis Arumi, Victor Parra
Summary: The objective of this report is to validate a hydraulic model for flood calculation, based on UAV survey data during low-water periods. The results show that the model tends to overestimate floods, but the errors are considered acceptable for flood calculations. Therefore, the hydraulic model derived from remote sensing appears to be an effective alternative for flood studies.
Article
Environmental Sciences
Robert Clasing, Enrique Munoz, Jose Luis Arumi, Diego Caamano, Hernan Alcayaga, Yelena Medina
Summary: The use of UAVs in creating digital terrain models (DTMs) provides a cost-effective way to estimate floods in rivers. However, limitations exist in UAV's ability to accurately estimate water surface elevations and submerged terrain. By developing hydraulic models based on UAV-derived topographic information, practical and efficient flood estimations can be made. This approach has important implications for flood studies, offering larger coverage areas and cost-effective estimations using affordable UAVs.
Article
Environmental Sciences
Talal Alharbi, Abdelbaset S. El-Sorogy
Summary: This study conducted a comprehensive analysis using Geographic Information System (GIS) and remote sensing (RS) data to assess potential landslide zones in Saudi Arabia's mountainous regions. The findings provide valuable insights for planners and decision-makers to prioritize mitigation and prevention measures.
Article
Engineering, Environmental
Muhammad Nasar Ahmad, Zhenfeng Shao, Rana Waqar Aslam, Israr Ahmad, Ming Liao, Xianyi Li, Yang Song
Summary: This study is based on two devastating earthquakes that occurred in Azad Kashmir and Muzaffarabad in 2005 and 2019. By identifying susceptible zones, creating landslide inventory maps, and using the Analytical Hierarchy Process model, the study provides information on landslide susceptibility and helps in future infrastructure planning and ecological protection.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Environmental Sciences
Malgorzata Wrobel, Iwona Stan-Kleczek, Artur Marciniak, Mariusz Majdanski, Sebastian Kowalczyk, Adam Nawrot, Justyna Cader
Summary: This paper proposes a multimethod approach for imaging the landslide structure and estimating ground motion. By integrating remote sensing and multi-method geophysical imaging, the spatial variability and surface area of the landslide can be modeled more precisely, as well as the velocity field in the nearest surface.
Review
Environmental Sciences
Renato Macciotta, Michael T. Hendry
Summary: Transportation infrastructure in mountainous terrain and river valleys are susceptible to various landslide phenomena. Remote sensing techniques offer a way to enhance monitoring tools for geotechnical engineers, improving identification of landslides, complementing in-place instrumentation, and defining landslide extents and deformation mechanisms. The application of these techniques in Western Canada has provided practical insights for risk management strategies in dealing with landslide hazards.
Article
Engineering, Geological
Qiang Xu, Bo Zhao, Keren Dai, Xiujun Dong, Weile Li, Xing Zhu, Yinghui Yang, Xianxuan Xiao, Xin Wang, Jian Huang, Huiyan Lu, Bo Deng, Daqing Ge
Summary: China has a significant portion of land in landslide-prone areas and is using remote sensing technologies, such as Synthetic Aperture Radar (SAR), optical remote sensing, and laser technologies, to investigate and monitor landslides. Multi-temporal optical images and time series SAR are commonly used to detect active landslides, while the latest optical images and SAR intensity images are adopted to map fresh landslides. LiDAR technology is widely applied to identify ancient landslides. An integrated space-air-ground collaborative investigation strategy has been proposed for early identification and early warning of landslides.
ENGINEERING GEOLOGY
(2023)
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
Computer Science, Information Systems
Triantafyllia-Maria Perivolioti, Antonios Mouratidis, Dimitrios Terzopoulos, Panagiotis Kalaitzis, Dimitrios Ampatzidis, Michal Tuser, Jaroslava Frouzova, Dimitra Bobori
Summary: Lake Trichonis is the largest and one of the deepest natural lakes in Greece, serving as an important ecosystem and freshwater reserve. The study reveals significant discrepancies between the old DTM and contemporary acoustic data, emphasizing the need for new bathymetric measurements to produce an updated DTM.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Multidisciplinary Sciences
Sebastien Rapinel, Lea Panhelleux, Guillaume Gayet, Rachel Vanacker, Blandine Lemercier, Bertrand Laroche, Francois Chambaud, Anis Guelmami, Laurence Hubert-Moy
Summary: This study used remote sensing and field data, combined with artificial intelligence technology, to classify and map wetlands in mainland France. The results show that this approach can accurately reveal the spatial distribution and fuzzy boundaries of wetlands, providing important reference for spatial planning and environmental management.
Article
Geosciences, Multidisciplinary
Xin Chen, Mingzhe Liu, Dongfen Li, Jiaru Jia, Aiqing Yang, Wenfeng Zheng, Lirong Yin
Summary: Landslide detection is crucial for disaster management and prevention. With the use of multi-channel optical remote sensing technology and the adoption of Conv-Trans Dual Network (CTDNet) based on Swin-Unet, accurate detection of landslides has become more accessible. Experimental results show that CTDNet outperforms other models currently applied in landslide detection.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Environmental Sciences
Na Lin, Di Zhang, Shanshan Feng, Kai Ding, Libing Tan, Bin Wang, Tao Chen, Weile Li, Xiaoai Dai, Jianping Pan, Feifei Tang
Summary: This study integrates Shapley Additive Explanation (SHAP) and Optuna (OPT) hyperparameter tuning into four basic machine learning algorithms and applies them to landslide extraction in Fengjie County, Chongqing, China. The experimental results show that the four SHAP-OPT models have an accuracy above 92% and a training time less than 1.3 seconds. Among them, SHAP-OPT-XGBoost achieves the highest accuracy (96.26%) and can extract landslide distribution information accurately and quickly.
Article
Biodiversity Conservation
Ming Chang, Xiangyang Dou, Fenghuan Su, Bo Yu
Summary: This study presents the first landslide inventory covering the whole nation of Afghanistan using Google Earth Pro imagery and manual interpretation. The inventory can provide a good database for the Afghan government to carry out relevant pre-disaster warnings and post-disaster reconstruction.
ECOLOGICAL INDICATORS
(2023)
Article
Green & Sustainable Science & Technology
Junmei Kang, Zhihua Wang, Hongbin Cheng, Jun Wang, Xiaoliang Liu
Summary: Earthquakes and their secondary geological disasters have a certain impact on land use. Studying the spatial-temporal evolution characteristics of land use can provide reference for ecological environment monitoring and management in earthquake-stricken regions, as well as contribute to long-term ecological restoration planning.