Article
Environmental Sciences
Pascal Castellazzi, Wolfgang Schmid, Guobin Fu
Summary: Unsustainable groundwater extraction can result in various negative impacts including aquifer compaction, damages to infrastructure, changes in water accumulation, and reduced water storage capacity. This study focuses on the heavily exploited aquifers in the New South Wales Riverina region of Australia and uses satellite radar imagery to detect ground deformation caused by groundwater extraction. Four areas with potential for groundwater-induced deformations are identified, and the study provides valuable information for water managers to mitigate the risks associated with groundwater-related ground deformation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Ryan Smith, Jiawei Li
Summary: Groundwater extraction leads to significant land subsidence, which can be estimated using InSAR data to derive hydrologic and geomechanical properties. Challenges remain in relating surface deformation to hydrologic systems due to the non-linear relationship between deformation and groundwater levels, as well as sparsely sampled data.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Moidu Jameela Riyas, Tajdarul Hassan Syed, Hrishikesh Kumar, Claudia Kuenzer
Summary: Public safety and socio-economic development in the Jharia coalfield (JCF) in India critically depend on precise monitoring and comprehensive understanding of coal fires. This study used N-SBAS technique to analyze the spatiotemporal dynamics of coal fires, identifying prominent subsidence areas and temporal variations. The results provide valuable information for developing early warning systems and remediation strategies.
Article
Environmental Sciences
Francesca Cigna, Deodato Tapete
Summary: In response to the increasing water demands in expanding cities, many aquifers in Mexico, particularly in the Aguascalientes Valley, are being overexploited and deplete, resulting in land subsidence, ground faulting, and damage to infrastructure. This study, utilizing the longest SAR survey conducted in the Aguascalientes Valley, analyzed the structurally-controlled subsidence process and associated risks. The research revealed a pattern of subsidence linked to alluvial/fluvial deposits, with maximum settlement rates increasing over time. The study also identified previously unknown deformation patterns and zones of strain, providing valuable insights for subsidence risk assessment and urban planning in the region.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Engineering, Civil
Abdelaziz El Shinawi, Alban Kuriqi, Martina Zelenakova, Zuzana Vranayova, Ismail Abd-Elaty
Summary: This study investigates the environmental hazards related to land subsidence (LS) in the coastal aquifer of Nile delta, Egypt, due to Sea Level Rise (SLR) and over-pumping using laboratory and numerical modeling. The results show that future land subsidence will have adverse impacts on infrastructure, waterways, and human life.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Gianluigi Busico, Carla Buffardi, Maria Margarita Ntona, Marco Vigliotti, Nicolo Colombani, Micol Mastrocicco, Daniela Ruberti
Summary: Coastal areas are increasingly vulnerable to groundwater salinization due to the effects of climate change and anthropization. The GALDIT-SUSI methodology was used to assess seawater intrusion in the Volturno River floodplain, showing a marked increase in salinization vulnerability by 2050, driven by the Revelle index.
Article
Environmental Sciences
Francesca Cigna, Deodato Tapete
Summary: The study primarily focuses on the subsidence situation in the metropolitan area of Mexico City, analyzing data related to vertical velocity, horizontal velocity, surface features, and earthquake risks. The results show that the region is experiencing rapid subsidence, leading to the formation of cracks and surface faults, posing a significant geological hazard risk.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Yaozong Xu, Tao Li, Xinming Tang, Xiang Zhang, Hongdong Fan, Yuewen Wang
Summary: The study conducted deformation observation experiments in the Datong coalfield using DInSAR, stacking-InSAR, and SBAS-InSAR methods and found that stacking-InSAR is an effective and efficient method for identifying the location and shape of mining deformations.
Article
Environmental Sciences
Shuhab D. Khan, Otto C. A. Gadea, Alyssa Tello Alvarado, Osman A. Tirmizi
Summary: This study reports substantial ground subsidence in Greater Houston and adjoining areas, with the main driver being groundwater pumping in the suburbs and oil/gas withdrawal in specific locations. Surface deformation was observed using InSAR data, and correlation analysis was performed with groundwater level and oil/gas well data. The study also identified active faults in the region.
Article
Environmental Sciences
Francesca Cigna, Deodato Tapete
Summary: This paper uses an integrated urban and satellite Interferometric Synthetic Aperture Radar (InSAR) approach to investigate land subsidence, urban growth, and population trends in the Metropolitan Area of Morelia in Mexico, revealing a predominant edge-expansion growth model and a doubling population over the last 30 years. The study also shows that subsidence is structurally-controlled by main normal faults and non-linearly deforming subsidence bowls develop at extraction wells in both old and newly urbanized sectors.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Xuguo Shi, Shaocheng Zhang, Mi Jiang, Yuanyuan Pei, Tengteng Qu, Jinhu Xu, Chen Yang
Summary: Ground subsidence is a common geohazard in urban areas, with Wuhan experiencing significant issues due to soft foundation subsidence and karst collapse. Utilizing SAR images, the study found a correlation between subsidence in Wuhan and the distribution of engineering geological subregions. Ongoing construction activities were identified as the driving factor behind the subsidence, with subsidence centers shifting with construction intensities.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Environmental Sciences
Ryan Smith
Summary: The San Joaquin Valley in California has experienced significant subsidence over the past century, with the most affected areas shifting from west to south. This study analyzes head records and identifies the stress history and declining groundwater levels as major factors contributing to subsidence. It emphasizes the need for active groundwater management and accurate long-term data for deformation modeling.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Guangrong Li, Chaoying Zhao, Baohang Wang, Xiaojie Liu, Hengyi Chen
Summary: Artificial islands and land reclamation are crucial for expanding urban space in coastal cities, but they can cause ground subsidence. Monitoring land subsidence and predicting future deformation trends are important for mitigating damage and implementing effective measures. This research collected SAR images and used various methods to detect and predict land deformation in Xiamen and Zhangzhou cities, providing valuable guidance for the design and construction of infrastructure in these areas.
Article
Engineering, Aerospace
Kapil Malik, Dheeraj Kumar, Daniele Perissin, Biswajeet Pradhan
Summary: Land subsidence is a significant problem in rapidly growing urban areas. This study investigated active ground subsidence in New Delhi using multiple SAR sensor data and the PS-InSAR technique. The results showed a twenty centimeter land subsidence in some areas, which is consistent with the groundwater depletion condition.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Water Resources
Hone-Jay Chu, Muhammad Zeeshan Ali, Tatas, Thomas J. Burbey
Summary: The study focused on land subsidence caused by groundwater overexploitation in the Choshui River alluvial fan in Taiwan. A spatial regression model was developed to estimate the spatial distribution of subsidence, using drawdown as input data and showing promising results with low RMSE. The model provided new hydrological insights for the region and could be used effectively for subsidence management based solely on drawdown data.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Environmental Sciences
Federico Zaina, Deodato Tapete
Summary: The destruction of cultural heritage caused by dams is a significant issue, particularly in the context of climate change and narrow development policies. This study explores the potential of Synthetic Aperture Radar (SAR) and satellite imagery for quantifying archaeological evidence in prospective reservoir areas before dam construction. The analysis of case studies in Syria and Ethiopia provides a feasible workflow that can be used by archaeologists in other areas, aiming to integrate ground-truthing methodologies into standard procedures for rescue archaeology in dams areas.
Review
Environmental Sciences
Luca Piroddi, Nasser Abu Zeid, Sergio Vincenzo Calcina, Patrizia Capizzi, Luigi Capozzoli, Ilaria Catapano, Marilena Cozzolino, Sebastiano D'Amico, Rosa Lasaponara, Deodato Tapete
Summary: Applications of non-invasive sensing techniques in investigating the internal structure and surface of precious and delicate objects are of great importance in the scientific field of cultural heritage knowledge and conservation. This article is the first of three reviews focusing on contact and non-contact imaging techniques for surveying cultural heritage at micro-, meso- and macro-scales. These techniques allow scientists to discover new historical sites, and image their spatial extent and material features at different scales, from landscape to artifact. This first part specifically discusses the inspection, study, and characterization of small objects from surface to internal properties at the micro-scale.
Article
Environmental Sciences
Muhammad Younis Khan, Federico Zaina, Sher Muhammad, Deodato Tapete
Summary: The catastrophic floods in Pakistan in 2022, caused by climate change, highlight the need to assess damage to archaeological sites and monuments in addition to people and infrastructure. This paper proposes an integrated approach using satellite imagery and ground-truthing to collect evidence and improve risk management plans. The methodology was tested on UNESCO and other heritage sites in Khyber Pakhtunkhwa and Sindh regions, demonstrating its potential in post-disaster mapping and decision-making for risk management.
Article
Remote Sensing
Haonan Jiang, Timo Balz, Francesca Cigna, Deodato Tapete, Jianan Li, Yakun Han
Summary: This paper introduces a new multi-sensor InSAR time series data fusion method to address cases when partial overlaps and/or temporal gaps exist. The proposed method, which combines the Power Exponential Knothe Model and LSTM neural network, successfully maps long-term surface deformation in Wuhan by fusing COSMO-SkyMed, TerraSAR-X, and Sentinel-1 SAR datasets.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Editorial Material
Multidisciplinary Sciences
Lei Luo, Jie Liu, Francesca Cigna, Damian Evans, Mario Hernandez, Deodato Tapete, Peter Shadie, Athos Agapiou, Abdelaziz Elfadaly, Min Chen, Lanwei Zhu, Bihong Fu, Ruixia Yang, Shahina Tariq, Mohamed Ouessar, Rosa Lasaponara, Xinyuan Wang, Huadong Guo
Review
Environmental Sciences
Branka Cuca, Federico Zaina, Deodato Tapete
Summary: This research reveals the trends in the study of threats to heritage caused by human-induced and natural hazards on a global scale. The analysis of over 300 scientific articles and grey literature provides insights into the recommendations and programmatic documents issued by heritage protection and management institutions. The results highlight the countries of the researchers, the types of remote sensing and satellite-based technologies used, and the most applied technologies by public institutions and practitioners.
Article
Remote Sensing
Francesca Cigna, Timo Balz, Deodato Tapete, Gino Caspari, Bihong Fu, Michele Abballe, Haonan Jiang
Summary: This paper showcases the main research avenues in optical and Synthetic Aperture Radar (SAR) remote sensing for archaeological and cultural heritage applications. It focuses on archaeological prospection and heritage site protection, utilizing novel sensor data, big data, and high-performance computing. Six demonstration use-cases are presented with various heritage asset types and research objectives. The results achieved contribute to the discussion on the advantages and limitations of optical and SAR-based archaeological and heritage applications.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Proceedings Paper
Geosciences, Multidisciplinary
S. Paloscia, E. Santi, S. Pettinato, A. Lapini, G. Fontanelli, S. Pilia, F. Baroni, G. Ramat, L. Santurri, C. Notarnicola, L. De Gregorio, G. Cuozzo, D. Tapete, F. Cigna
Summary: The research aims to develop innovative algorithms for estimating geophysical parameters of soil, snow, and vegetation using SAR and optical images, and monitor their changes and crop conditions. The results show that the estimation of soil moisture, vegetation biomass, snow water equivalent, and crop classification can be improved by using temporal series of images and machine-learning approaches.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)
Proceedings Paper
Geosciences, Multidisciplinary
Sang-Hoon Hong, Jeong-Heon Ju, Seo-Woo Park, Francesca Cigna
Summary: Ground subsidence, particularly in urban environments, poses a significant geohazard risk. Time-series analyses using multi-frequency SAR observations can be used to detect and study ground subsidence using various InSAR techniques.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)
Proceedings Paper
Geosciences, Multidisciplinary
Deodato Tapete, Francesca Cigna
Summary: Copernicus Sentinel-1 SAR and Sentinel-2 optical data were combined to document floods and fires affecting cultural heritage in remote or inaccessible locations in the Middle East. Change detection analysis using SAR amplitude and interferometric coherence, as well as the computation of spectral indexes using optical imagery, proved to be effective in accurately mapping the affected areas and temporally constraining the events.
2022 IEEE MEDITERRANEAN AND MIDDLE-EAST GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (M2GARSS)
(2022)
Article
Remote Sensing
Fulong Chen, Huadong Guo, Deodato Tapete, Francesca Cigna, Salvatore Piro, Rosa Lasaponara, Nicola Masini
Summary: This paper reviews the development of imaging radar technology and analyzes its performance and limitations in the field of cultural heritage monitoring and management. It proposes a flexible solution for the integration of imaging radar in cultural heritage through pilot synergy applications in archaeological prospection and cultural heritage diagnosis and conservation.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Engineering, Electrical & Electronic
Giacomo Fontanelli, Alessandro Lapini, Leonardo Santurri, Simone Pettinato, Emanuele Santi, Giuliano Ramat, Simone Pilia, Fabrizio Baroni, Deodato Tapete, Francesca Cigna, Simonetta Paloscia
Summary: This article introduces a method for early-season crop mapping using COSMO-SkyMed X-band dual-polarized data. By using a deep learning convolutional neural network for classification and combining HH+VV backscatter, high classification accuracy is achieved. The study finds that using a 3-D classifier with HH, VV, and HH+VV backscatter can achieve overall accuracy above 90% after June each year. However, relatively low producer accuracy is observed in vineyards and uncultivated fields, requiring further research.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Emanuele Santi, Ludovica De Gregorio, Simone Pettinato, Giovanni Cuozzo, Alexander Jacob, Claudia Notarnicola, Daniel Guenther, Ulrich Strasser, Francesca Cigna, Deodato Tapete, Simonetta Paloscia
Summary: This study estimates the dry snow water equivalent (SWE) in alpine areas using X-band synthetic aperture radar (SAR) data from the COSMO-SkyMed (CSK) satellite constellation. The SAR data is analyzed and compared with in situ measurements, and the sensitivity to SWE is assessed using a radiative transfer model. Two machine learning techniques, artificial neural networks (ANNs) and support vector regression (SVR), are employed to retrieve SWE from the CSK data. The validation results show a high correlation coefficient and low root-mean-square error, indicating the effectiveness of the CSK constellation for dry SWE retrieval in alpine areas.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)