Article
Environmental Sciences
Gen Li, Zegang Ding, Mofan Li, Zihan Hu, Xiaotian Jia, Han Li, Tao Zeng
Summary: This paper proposes a Bayesian estimation method for land deformation combining persistent scatterers (PSs) and distributed scatterers (DSs). By introducing a two-level network into traditional PSI, the deformation parameters are accurately estimated through maximum likelihood estimation (MLE) for PSs and high-quality DSs, and maximum a posteriori (MAP) estimation based on Bayesian theory for the remaining DSs. The results from simulation and Sentinel-1A satellite data verify the feasibility and reliability of the proposed method. Regularized by the spatial deformation field derived from high-quality PSs and DSs, the proposed method is expected to achieve robust results even in low-coherence areas.
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
Evandro Balbi, Gabriele Ferretti, Andrea Ferrando, Francesco Faccini, Laura Crispini, Paola Cianfarra, Davide Scafidi, Simone Barani, Silvano Tosi, Martino Terrone
Summary: Persistent Scatterer Interferometry (PSI) is a powerful tool for identifying and monitoring surface deformations. This paper proposes a new method called CAPS (Correlation Analysis on Persistent Scatterers) to enhance the capability of PSI in recognizing and characterizing areas influenced by complex ground deformations.
Article
Multidisciplinary Sciences
Muhammad Afaq Hussain, Zhanlong Chen, Muhammad Shoaib, Safeer Ullah Shah, Junaid Khan, Zheng Ying
Summary: This study used satellite data and interferometry measurements to monitor ground subsidence in Karachi, Pakistan. The results showed high subsidence rates, especially in the city center.
SCIENTIFIC REPORTS
(2022)
Article
Geosciences, Multidisciplinary
Hong-Wei Sang, Bin Shi, Dan Zhang, Su-Ping Liu, Yi Lu
Summary: This paper investigates the spatial-temporal distributions of land subsidence in Shengze, Suzhou using the persistent scatterer interferometry (PSI) technique and the distributed fiber optic sensing (DFOS) technique. The results reveal that land surface deformations are mainly affected by transitional groundwater exploitation and the compression strata are closely associated with pore water pressure in the second confined aquifer. The combination of these two monitoring technologies is beneficial for urban development, disaster risk management, and groundwater exploitation and management in Suzhou, China.
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, Marine
Can Lu, Lin Zhu, Xiaojuan Li, Huili Gong, Dong Du, Haigang Wang, Pietro Teatini
Summary: This study analyzed the spatial and temporal features of land subsidence along the west coast of Bohai Bay from 2003 to 2010 and from 2015 to 2020, and explored the factors causing land subsidence. A simulation model of land subsidence was constructed using a deep learning method. The results showed that the groundwater level had a stronger correlation with land subsidence than the area occupied by buildings and the compressible layer thickness. This study provides valuable information for understanding the evolution and prevention of land subsidence, and for policy decisions and flood-fighting plans of coastal cities worldwide.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Jiayin Luo, Juan M. Lopez-Sanchez, Francesco De Zan, Jordi J. Mallorqui, Roberto Tomas
Summary: This study explores the increase in the number of measurement points by using the VH channel as selection criterion in persistent scatterer interferometry. Results show that the VH channel provides additional reliable measurement points by increasing the amplitude and reducing the amplitude dispersion, which extends the spatial density and improves the accuracy of deformation estimation.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Fereshteh Tarighat, Fatemeh Foroughnia, Daniele Perissin
Summary: The study used persistent scatterer interferometry method to investigate the strength of power towers in the Tehran basin affected by subsidence, finding that most of the towers are at high risk due to high land subsidence and require continuous monitoring for safe operation.
Article
Environmental Sciences
Peppe J. V. D'Aranno, Alessandro Di Benedetto, Margherita Fiani, Maria Marsella, Ilaria Moriero, Jose Antonio Palenzuela Baena
Summary: This study aims to analyze ground displacement using satellite remote sensing data and PSI technique to assess the stability of viaducts and embankments in the metropolitan area of the Gulf of Salerno, as well as understand the activity of the surrounding slopes. By utilizing data from European Space Agency missions and COSMO-SkyMed constellations, the analysis showed a consistency in displacement patterns in different subareas, highlighting the importance of remotely monitoring infrastructure behavior over long periods of time in a complex geological area.
Article
Environmental Sciences
Kyriaki Fotiou, Dimitris Kakoullis, Marina Pekri, George Melillos, Ramon Brcic, Michael Eineder, Diofantos G. Hadjimitsis, Chris Danezis
Summary: The urban development of Limassol has rapidly increased in the past five years, raising concerns about potential land subsidence along the coastal front. This study analyzed satellite data and found significant ground subsidence in the Limassol coastal area. The impact of skyscrapers on the coastal front of Limassol was also preliminarily assessed.
Article
Geography
Bosman Batubara, Michelle Kooy, Margreet Zwarteveen
Summary: Jakarta is sinking rapidly due to land subsidence, increasing its vulnerability to tidal flooding. Geoscientists and engineers traditionally treat land subsidence as a technical problem, but this paper argues that it is a socio-spatial and socio-natural issue related to urbanization. The study proposes an approach that examines the correlation between land subsidence and the development of buildings and groundwater wells, highlighting the uneven impacts and the co-shaping of urbanization by human and non-human processes.
Article
Environmental Sciences
Zheng Meinan, Deng Kazhong, Fan Hongdong, Zhang Hongzhen, Qin Xipeng
Summary: The recovery of groundwater in closed mines leads to secondary subsidence or uplift on the surface, posing a threat to the safety of buildings around the mines. This study proposes a distributed scatterer (DS) InSAR method by integrating statistically homogeneous pixels selection and phase optimization into PSInSAR to be more effective in reflecting the spatio-temporal evolution pattern of surface subsidence in closed mines. The results show that DSInSAR outperforms PSInSAR in terms of coherent point density, retrieving previously missed subsidence areas and achieving consistent results.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Environmental Sciences
Bahram Choubin, Kourosh Shirani, Farzaneh Sajedi Hosseini, Javad Taheri, Omid Rahmati
Summary: Land subsidence is a significant challenge for land and water resource managers. Radar datasets provide low-cost information and revolutionize the way we understand it. Machine learning methods have become popular in predicting natural hazards, and this research aims to apply an efficient approach for simulating land subsidence using radar and ensemble-based models.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Maryam Nayyeri, Seyed Abbas Hosseini, Saman Javadi, Ahmad Sharafati
Summary: Distributed modeling offers a more accurate assessment of groundwater stress index, revealing the relationship between highly stressed areas and agricultural land in the Varamin aquifer. The results show that future scenarios can help reduce water stress and its increasing trend effectively.
NATURAL RESOURCES RESEARCH
(2021)
Article
Remote Sensing
Xiaoxiao Zhao, Beibei Chen, Huili Gong, Chaofan Zhou, Xiaojuan Li, Kunchao Lei, Yinghai Ke
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2020)
Article
Remote Sensing
Limin Liu, Jie Yu, Beibei Chen, Yanbing Wang
EUROPEAN JOURNAL OF REMOTE SENSING
(2020)
Article
Environmental Sciences
Liping Zheng, Lin Zhu, Wei Wang, Lin Guo, Beibei Chen
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Environmental Sciences
Chaofan Zhou, Huili Gong, Beibei Chen, Mingliang Gao, Qun Cao, Jin Cao, Li Duan, Junjie Zuo, Min Shi
Article
Ecology
Yunbao Fa, Demin Zhou, Yinghai Ke, Yunzhe Wang, Qiwei Wang, Lei Zhang
Article
Environmental Sciences
Peng Li, Yinghai Ke, Dawei Wang, Hongyu Ji, Shenliang Chen, Mengmeng Chen, Mingyuan Lyu, Demin Zhou
Summary: This study utilized an improved Flexible Spatiotemporal Data Fusion (FSDAF) strategy to generate 30-m hourly SPM concentrations in the Yellow River Estuary, revealing the impacts of human activities including WSRS and groins on the SPM dynamics. The investigation showed that WSRS and groins influenced the SPM concentrations and extent of plumes in the estuary, while tidal currents played a significant role in the intraday variations of SPM.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Remote Sensing
Mengmeng Chen, Yinghai Ke, Junhong Bai, Peng Li, Mingyuan Lyu, Zhaoning Gong, Demin Zhou
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2020)
Article
Environmental Sciences
Beibei Chen, Huili Gong, Yun Chen, Xiaojuan Li, Chaofan Zhou, Kunchao Lei, Lin Zhu, Li Duan, Xiaoxiao Zhao
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Environmental Sciences
Bokyung Son, Sumin Park, Jungho Im, Seohui Park, Yinghai Ke, Lindi J. Quackenbush
Summary: A new drought monitoring approach using VPA and VPID was developed, which considers multiple drought indicators and can be adopted for different types of drought based on user selection. The evaluation of VPID showed good agreement with surface-based drought indices across the CONUS and East Asia. The proposed approach can be applied to any region with different combinations of surface-based drought indices and satellite-derived drought factors.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Biodiversity Conservation
Wenwen Li, Yuxin Jiang, Yihao Duan, Junhong Bai, Demin Zhou, Yinghai Ke
Summary: The study highlights the importance of utilizing stormwater resources for wetland landscape restoration in wetland conservation and sustainable urban development. By establishing and optimizing evaluation models, an effective method framework is proposed to aid wetland restoration and reduce flood disasters.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Yuxin Jiang, Yunzhe Wang, Demin Zhou, Yinghai Ke, Junhong Bai, Wenwen Li, Jiaguo Yan
Summary: The Yellow River Delta is one of the youngest deltas in the world, providing habitats for famous waterfowls in East Asia. An ecological restoration project within the National Nature Reserve of the Yellow River Delta has significantly impacted coastal wetlands, particularly altering plant habitats. Innovative models were presented to evaluate the complex impact of the restoration project on estuary wetland habitats.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Remote Sensing
Zhanpeng Wang, Yinghai Ke, Mengmeng Chen, Demin Zhou, Lin Zhu, Junhong Bai
Summary: Annual mapping of the Yellow River Delta wetland from 2008 to 2019 using time-series Landsat images revealed a significant expansion of Spartina alterniflora, encroaching on other vegetation types. The study found that the number of valid observations affects spatial and temporal classification accuracies, with harmonic regression features playing a crucial role in improving overall accuracies. Temporal distribution of observations was identified as more important than the quantity of observations for harmonic-based classification of coastal wetlands like the YRD.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Geography, Physical
Yue Han, Yinghai Ke, Lijuan Zhu, Hui Feng, Qun Zhang, Zhao Sun, Lin Zhu
Summary: A new method was proposed to automatically characterize vegetation degradation and recovery trajectories for multiple mine sites, achieving satisfactory accuracy in trajectory type classification. In the study area, around one-third of the mine sites have recovered, while some have experienced degradation likely due to illegal mining activities.
GISCIENCE & REMOTE SENSING
(2021)
Article
Geography, Physical
Qingqing Zhou, Yinghai Ke, Xinyan Wang, Junhong Bai, Demin Zhou, Xiaojuan Li
Summary: This study proposes a new automatic mapping method for Zostera japonica seagrass beds in the Yellow River Delta, China, and reveals the long-term variations in their extents. The study also highlights the large temporal variations and degradation of Zostera japonica seagrass beds, possibly due to plant invasion, coastal erosion, and extreme climate events.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Ronglong Xu, Siqing Zhao, Yinghai Ke
Summary: The introduced Spartina alterniflora has become a top invasive plant in Chinese coastal wetlands, and a simple phenological vegetation index (PVI) was proposed using Sentinel-2 observations. Among the six PVIs developed and compared, the phenological normalized vegetation difference index (PNDVI) showed better separability for identifying S. alterniflora and other land cover types compared to other indices and single-season NDVI.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)