Article
Geosciences, Multidisciplinary
Wei Tang, Mingliang Wang, Peixian Li, Guorui Wang, Yueguan Yan, Weitao Yan
Summary: The aim of this study was to investigate regional-scale mining subsidence in the Ningdong coal base area in China using conventional and advanced Differential Synthetic Aperture Radar Interferometry (DInSAR) methods. L-band and C-band SAR data from ALOS-2 and Sentinel-1A satellites were analyzed, and a coherence-based SBAS method was used to increase the spatial extent of displacement signals. The results demonstrated the effectiveness of combining L-band and C-band SAR data for monitoring mining subsidence and gaining insights into subsidence dynamics.
FRONTIERS IN EARTH SCIENCE
(2023)
Review
Geosciences, Multidisciplinary
Federico Raspini, Francesco Caleca, Matteo Del Soldato, Davide Festa, Pierluigi Confuorto, Silvia Bianchini
Summary: This paper presents a critical review of the existing literature on the use of satellite SAR imagery for subsidence analysis. The review highlights the growth in scientific production and the increasing interest in subsidence studies. It also emphasizes the role of satellite InSAR as an operative tool in subsidence research, while acknowledging the remaining technical and operational challenges.
EARTH-SCIENCE REVIEWS
(2022)
Article
Chemistry, Multidisciplinary
Sungyeol Lee, Jaemo Kang, Jinyoung Kim
Summary: In this study, the attribute information of underground utilities and history information of ground subsidence were collected to develop a prediction model. Spatial lag model (SLM) was selected as suitable for analyzing the vulnerability of ground subsidence, and the density of underground utilities was found to be the highest influencing factor. A vulnerability map of ground subsidence in the target area was prepared using the model.
APPLIED SCIENCES-BASEL
(2023)
Article
Mining & Mineral Processing
Bailey S. Simmons, Jessica M. Wempen
Summary: Monitoring subsidence caused by longwall mining through a variety of techniques can help establish relationships between surface deformation and longwall face advance. Differential Interferometric Synthetic Aperture Radar (DInSAR) provides data with long temporal coverage for subsidence monitoring.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Fatemeh Rafiei, Saeid Gharechelou, Saeed Golian, Brian Alan Johnson
Summary: Climate change and overpopulation have increased water demands worldwide, leading to land subsidence in arid and semiarid regions. The agricultural plain of Samalghan in Iran has experienced significant land subsidence due to groundwater overexploitation.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Engineering, Civil
Dinesh Kumar Sahadevan, Anand Kumar Pandey
Summary: Unsustainable groundwater exploitation can lead to aquifer compaction, especially in fast urbanizing regions like the Himalayan piedmont fan areas, where rapid groundwater depletion and subsidence are occurring. Using satellite-based Interferometric Point Target Analysis (IPTA), we estimated the ground deformation around Chandigarh, India, and found significant vertical subsidence, particularly in clay confining aquifer level III and semi-confined level II. This study highlights the importance of combining DInSAR-IPTA with groundwater data to effectively monitor and manage groundwater-aquifer health.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Muhagir El Kamali, Ioannis Papoutsis, Constantinos Loupasakis, Abdelgadir Abuelgasim, Khalid Omari, Charalampos Kontoes
Summary: This study utilized the P-PSI technique to analyze land surface deformations in the agricultural area of Remah in UAE caused by groundwater overexploitation. The findings include a large subsidence bowl correlated with a drop in water table level, providing valuable insights for groundwater management.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Katsunoshin Nishi, Masaaki Kawai, Bowo Eko Cahyono, Mirza Muhammad Waqar, Kaori Nishi, Josaphat Tetuko Sri Sumantyo
Summary: Concerns about land subsidence recurrence have risen in Japan due to urban development and groundwater use. While land subsidence observation wells have been used for monitoring, the aging facilities have sparked interest in remote sensing technology. This paper evaluates the substitutability of Consecutive DInSAR with the land subsidence observation well, using SARPROZ software to analyze Sentinel 1 images from August 2017 to March 2022 in Kanagawa prefecture. The study also introduces a new calculation model to estimate land subsidence based on the law of material conservation. The results show that Consecutive DInSAR aligns with the observation well data, indicating potential future substitution.
GEOCARTO INTERNATIONAL
(2023)
Article
Environmental Sciences
Greg Robson, Paul Treitz, Scott F. Lamoureux, Kevin Murnaghan, Brian Brisco
Summary: By using DInSAR technology in combination with various data sources, it was found that in continuous permafrost environments, seasonal surface displacements mainly occur in low-lying, wet, and steep areas, with maximum magnitudes of up to 10 cm but generally less than 4 cm.
Article
Engineering, Civil
R. S. Chatterjee, Shravanee Singha, Ashish Aggarwal, Vimanyu Sharma, Pranshu Pranjal, Anuradha Karunakalage, P. K. Jain, A. Nagar, D. S. Mitra, D. Kumar, N. R. Patel, P. Chauhan
Summary: In this study, a framework for studying land subsidence in Mehsana, Gujarat, India was presented. The main causes of land subsidence were identified as groundwater overdraft and oil extraction. Analysis of InSAR data showed varying rates and trends of subsidence in different areas of the city.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Kun Yang, Zhenqi Hu, Yusheng Liang, Yaokun Fu, Dongzhu Yuan, Jiaxin Guo, Gensheng Li, Yong Li
Summary: Widespread ground fissures caused by coal mining subsidence are a main cause of ecological destruction in mining areas. In this study, a method to automatically extract ground fissures from UAV images was developed and tested in the Ningtiaota Coal Mine, China. The results indicated that the proposed method can effectively detect and extract ground fissures, which makes it a valuable tool for ecological restoration in mining areas.
Article
Environmental Sciences
Rakesh K. Dumka, D. Suribabu, Sandip Prajapati
Summary: Urban ground subsidence has become a danger to infrastructure and society, with significant subsidence observed in Ahmedabad, India. The study utilized different techniques like PSI, GNSS, and groundwater analysis to reveal the extent of subsidence in the city. The results from various data analyses corroborate each other, highlighting the seriousness of the issue.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Yafei Zhang, Xugang Lian, Linlin Ge, Xiaoyu Liu, Zheyuan Du, Wenfu Yang, Yanru Wu, Haifeng Hu, Yinfei Cai
Summary: Surface subsidence caused by coal mining is a significant factor affecting the sustainable development of mining districts. This study proposes combining DInSAR and UAV photogrammetry to achieve high-precision monitoring of mining subsidence areas, which proves to be more accurate than using either technology alone.
Article
Environmental Sciences
Nicolas Scivetti, Paulo Marcos, Maria Eugenia Prieto, Cecilia Pavon Pivetta, Leonardo Benedini, Agustin J. Stremel, Marcos E. Bahia, Andres Bilmes, Sebastian Richiano
Summary: This study analyzed the Line of Sight surface velocity in Bahia Blanca city from 2016 to 2020 using DInSAR technique, revealing significant velocity variations in different sectors of the city and identifying factors leading to these changes. The study highlights the importance of reviewing urban planning and increasing control over groundwater exploitation based on the surface displacement results.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Mahdi Khoshlahjeh Azar, Amir Hamedpour, Yasser Maghsoudi, Daniele Perissin
Summary: This study used space-based Synthetic Aperture Radar images to investigate the formation mechanism of sinkholes in two Iranian plains, revealing precursory ground subsidence before sinkhole formation. Time-series analysis showed a gradual acceleration in the sinkhole formation process, with significant ground displacement changes appearing in the days leading up to formation.
Article
Engineering, Geological
Alvaro Rabat, Roberto Tomas, Miguel Cano
Summary: Understanding the tensile behavior of rocks and its water-induced variation is crucial for designing mining and civil engineering structures and assessing geotechnical hazards. This study expands knowledge by determining the tensile properties of porous limestone under dry and water-saturated conditions through direct and indirect methods. The results show that water saturation significantly reduces the tensile strength and modulus of the limestone, and the petrological characteristics and mineral composition are analyzed to explain the observed softening. Accurate correlations between direct and indirect tensile strength parameters are established, providing a novel and useful contribution to geomechanics.
ENGINEERING GEOLOGY
(2023)
Article
Geography, Physical
Ningling Wen, Keren Dai, Roberto Tomas, Mingtang Wu, Chen Chen, Jin Deng, Xianlin Shi, Wenkai Feng
Summary: The potential landslides in the river bank of Maoergai hydropower station were monitored using SBAS-InSAR, and the fluctuation of reservoir water level was found to be the main triggering factor for slope displacement. The displacement showed a seasonal trend and had a common power with reservoir water fluctuation at an interannual scale of one year. By using InSAR and wavelet tools, this study quantitatively revealed the time lag between slope stability and reservoir water fluctuation, providing strong support for the analysis of landslide mechanisms in the Maoergai reservoir area.
GISCIENCE & REMOTE SENSING
(2023)
Article
Engineering, Geological
Da Huang, Yi-xiang Song, Zhao Li, Shi-lin Luo, Jian-bing Peng, Roberto Tomas
Summary: In this study, the working performance and mechanism of a novel upper-hollow drainage anti-slide pile (UDAP) were evaluated through physical model tests and numerical simulations. The results showed that UDAPs have excellent drainage performance and can reduce both earth pressure and pore water pressure. Numerical simulations conducted on the Quchi landslide in China demonstrated that UDAPs have a significantly better retaining effect compared to conventional anti-slide piles (CAPs), reducing landslide thrust and deformation. These findings provide an important basis for future research, design, popularization, and application of UDAPs.
Article
Computer Science, Interdisciplinary Applications
Shi-lin Luo, Da Huang, Jian-bing Peng, Ailifeila Aierken, Zhao Li, Xi-bin Kuang, Roberto Tomas
Summary: This paper studies the development of landslides in the Three Gorges Reservoir area and the factors affecting them. The Outang landslide, a typical accumulation landslide, is taken as an example. The study finds that the displacements of the landslide show a step-like pattern over time, with rainfall and reservoir water being the main factors affecting the upper and lower parts of the landslide. The study also proposes a novel drainage anti-slide pile and verifies its drainage performance through physical model testing.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Geological
R. Tomas, E. Diaz, W. T. Szeibert, X. Liu, J. M. Lopez-Sanchez, C. Zhao
Summary: This paper analyzes an active landslide in Alcoy, Spain, which affects a road and industrial buildings of historical significance. High-resolution SAR images from the PAZ satellite were used to determine the behavior of the landslide, and detailed geomorphological mapping and structural damage analysis were conducted. 3D modeling confirmed the overall instability of the area and the relationship between the landslide and rainfall and road construction. This information is crucial for local authorities to effectively manage the landslide.
Article
Engineering, Geological
Roberto Tomas, Marisa Pinheiro, Pedro Pinto, Eduardo Pereira, Tiago Miranda
Summary: A catastrophic rock planar slide occurred in Palmeira de Faro, Esposende, Portugal on November 23, 2022, resulting in the death of two people in a building close to the affected cut slope. The slide was caused by a granitic rock mass that was heavily weathered and had been excavated in some areas by mechanical means and blasting. The trajectory of the displaced material was oblique and followed the structural control of the instability caused by discontinuity sets. Unfavorable geological conditions, abnormal rainfall, and excavations on the cut slope may have contributed to the instability.
Article
Engineering, Geological
Keren Dai, Zhiyu Li, Qiang Xu, Roberto Tomas, Tao Li, Liming Jiang, Jianyong Zhang, Tao Yin, Hao Wang
Summary: This study used multi-source remote sensing techniques to identify and evaluate the upper slope of the Aniangzhai landslide in Danba County, Sichuan Province, China. By using unmanned aerial vehicle (UAV) photogrammetry, light detection and ranging (LiDAR), and satellite-based interferometric synthetic aperture radar (InSAR) techniques, a 3D model and a digital elevation model (DEM) of the landslide were obtained, confirming the presence of large cracks and revealing its activity. The results demonstrated the usefulness of an integrated method in identifying and evaluating the potential hazard of high-altitude upper slopes and provided a reference for mitigating potential damage in the future.
Article
Chemistry, Analytical
Arturo Villarroya-Carpio, Juan M. Lopez-Sanchez
Summary: Interferometric coherence from SAR data is evaluated for its potential use in crop monitoring by comparing it with vegetation indices and NDVI derived from Sentinel-2 imagery. The study shows that coherence is generally well correlated with NDVI across all seasons and the ratio between coherences at different polarimetric channels can be an alternative tool for analyzing crop dynamics. However, backscatter-based indices describe the evolution of certain crops better than coherence, indicating the complementary use of both coherence and backscatter.
Article
Environmental Sciences
Liuru Hu, Roberto Tomas, Xinming Tang, Juan Lopez Vinielles, Gerardo Herrera, Tao Li, Zhiwei Liu
Summary: This study demonstrates the potential of using space-borne InSAR and airborne LiDAR techniques, combined with a simple slope stability geotechnical model, to obtain and update inventory maps of active deformations in mining areas. By analyzing Sentinel-1 InSAR imagery and LiDAR point cloud data, various active deformation areas, including consolidation of waste dumps, earthworks, erosion, and landslides, were identified in the Sierra de Cartagena-La Union mining area in southeast Spain. The integration of InSAR and LiDAR with simple geotechnical models proves to be effective in updating inventory maps of active deformation areas in mining zones.
Article
Environmental Sciences
Hengyi Chen, Chaoying Zhao, Roberto Tomas, Liquan Chen, Chengsheng Yang, Yuning Zhang
Summary: The study combines SAR offset tracking and interferometric phase to obtain the large-gradient surface displacement. A multi-segment logistic model is proposed to simulate the temporal effect induced by repeated mining activities. The simplified probability integral method (SPIM) is used to separate the displacement of mining subsidence and landslide and assess their impact. The results show that repeated mining activities not only cause land subsidence and rock avalanches, but also accelerate landslide displacement.
Article
Engineering, Civil
Maria I. Navarro-Hernandez, Javier Valdes-Abellan, Roberto Tomas, Serena Tessitore, Pablo Ezquerro, Gerardo Herrera
Summary: This study compared two different scenarios of land subsidence in flood event models for 1992 and 2016. It found that there was a 2.04 km2 increase in flooded areas with water depths exceeding 0.7 m over the 14-year period. These findings were used to create a flood risk map and assess the economic flood risk.
WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Wenjie He, Jianjun Zhu, Juan M. Lopez-Sanchez, Cristina Gomez, Haiqiang Fu, Qinghua Xie
Summary: This study evaluates the capacity of TanDEM-X interferometric synthetic aperture radar (InSAR) data assisted by an external digital terrain model (DTM) to estimate forest canopy height. A ground-to-volume ratio estimation model is proposed for precise estimation of canopy height. The results show that the proposed method has high accuracy and performance in forest height estimation, compared with existing methods and LiDAR data.
Article
Engineering, Electrical & Electronic
Jiayin Luo, Lu Zhang, Jie Dong, Juan M. Lopez-Sanchez, Yian Wang, Hao Feng, Mingsheng Liao
Summary: Despeckling is an essential task in PolSAR image processing. Existing filters for SAR images mainly make use of either real or complex information, but their performance may vary in different applications due to differences in input sources. To achieve better results in all cases, we propose a tensor decomposition-based method that constructs a new CCM containing polarimetric, interferometric, and multitemporal information for each pixel, improving the identification of homogeneous pixels for spatially adaptive filtering. The effectiveness and performance of the proposed method are evaluated with simulated and real SAR data, compared with several established methods.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Remote Sensing
Roberto Tomas, Qiming Zeng, Juan M. Lopez-Sanchez, Chaoying Zhao, Zhenhong Li, Xiaojie Liu, Maria I. Navarro-Hernandez, Liuru Hu, Jiayin Luo, Esteban Diaz, William T. Szeibert, Jose Luis Pastor, Adrian Riquelme, Chen Yu, Miguel Cano
Summary: This paper presents the main outcomes of the joint European Space Agency and Chinese Ministry of Science and Technology cooperation project. The project focuses on developing advanced SAR/InSAR and optical techniques to investigate seismic hazards and risks, detect potential landslides, and demonstrate an EO-based landslide early warning system. The achieved results provide essential assets for planning scientific activities related to landslides.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
