Article
Optics
Nolan Peard, Kartik Ayyer, Henry N. Chapman
Summary: Second-order intensity correlations can reveal the Fourier transform modulus, but phase retrieval via third-order intensity correlations has been limited to special emitter configurations. This paper describes a general method for ab initio phase retrieval via intensity triple correlations, enabling accurate phase retrieval for arbitrary arrays of incoherent emitters. This method could be applied to imaging stars or fluorescent atoms and molecules. With this work, it is now finally possible to perform Fourier inversion directly and reconstruct images of arbitrary arrays of independent emitters via far-field intensity correlations alone.
Article
Energy & Fuels
Ruijun Duan, Tao Shen, Chunming Li, Naseem Fatima, Muhammad Khalid Anser
Summary: The study analyzes the spatial distribution characteristics and driving factors of electricity intensity in China using spatial econometric methods. Results show significant spatial dependence and clustering characteristics, with urbanization and financial development reducing electricity intensity while industrialization increases it. The findings provide evidence for localized policy making to reduce electricity intensity.
ENERGY STRATEGY REVIEWS
(2021)
Article
Environmental Sciences
Zongji Yang, Bo Pang, Wufan Dong, Dehua Li
Summary: A comprehensive inventory of coseismic landslides induced by the 2022 Luding earthquake was created using satellite images. The study examined the distribution and controlling conditions of these landslides from the perspective of epicentral distance and proposed a method for intensity zoning based on attenuation relationships. These findings provide important guidance for post-earthquake reconstruction and land use in the affected area.
Article
Biodiversity Conservation
Yi Chen, Haisheng Cai, Yinrong Chen
Summary: The rapid development of new urbanization has put great pressure on the ecological environment. Understanding the interaction mechanism between ecological environment and new urbanization is crucial for sustainable development. This study focused on the Nanchang metropolitan area in China and used comprehensive assessment models to analyze the spatial and temporal heterogeneity, spatial correlation, and interaction strength between ecological quality and new urbanization level. The results showed improvements in ecological quality and urbanization level from 2005 to 2018. The study also identified synergistic and trade-off relationships between land use efficiency and ecological quality, as well as synergistic relationships between economic development and ecological quality. The findings provide insights for urbanization construction and the coordinated development of natural resources and urban construction.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Jin Wang, Xiangguang Leng, Zhongzhen Sun, Xi Zhang, Kefeng Ji
Summary: Synthetic aperture radar (SAR) is a crucial tool for maritime surveillance. In this paper, a novel method for refocusing 3D swing ships in SAR imagery based on the spatial-variant defocusing property is proposed. Experimental results demonstrate that the proposed algorithm can overcome the spatial-variant defocusing of 3D swing ships in SAR images.
Article
Environmental Sciences
Xigang Wang, Zhiguo Meng, Si Chen, Zhuangzhuang Feng, Xinbiao Li, Tianhao Guo, Chunmei Wang, Xingming Zheng
Summary: This paper proposes a filtering method based on the spatial autocorrelation feature of the block fast Fourier transform (BFFT) to reduce the impact of noise on SAR image inversion products. By statistically analyzing the autocorrelation length of speckle noise on Sentinel-1B images, the optimal FFT filtering window radius is determined based on the relationship between noise period and image frequency domain components. The BFFT filtering method is compared with six commonly used filtering methods and shows better noise reduction effect.
Article
Environmental Studies
Charalampos Kontoes, Constantinos Loupasakis, Ioannis Papoutsis, Stavroula Alatza, Eleftheria Poyiadji, Athanassios Ganas, Christina Psychogyiou, Mariza Kaskara, Sylvia Antoniadi, Natalia Spanou
Summary: The development of remote sensing techniques has significantly improved landslide management over the past decade. Different landslide susceptibility methods have their own advantages and limitations. This study compared two landslide models and found that the WoE method was more accurate due to expert opinion and landslide inventory data.
Article
Geosciences, Multidisciplinary
Yaspal Sundriyal, Vipin Kumar, Neha Chauhan, Sameeksha Kaushik, Rahul Ranjan, Mohit Kumar Punia
Summary: This article focuses on two towns (Joshimath and Bhatwari) in the NW Himalaya, India, which have been experiencing subsidence for decades due to active tectonics and multiple precipitation sources. Recent widespread cracks in houses and slope instability phenomena have led to social movements and calls for government action. The study used slope stability simulations and found that the displacement in these hillslopes could reach up to 20-25 m, exacerbating the situation further.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Environmental Sciences
Cheng Zhong, Hanny Zurina Hamzah, Jin Yin, Desheng Wu, Jianhong Cao, Xiaoming Mao, Qianda Zhuang
Summary: This paper examines the impact of industrial agglomeration on industrial eco-efficiency and finds an inverted N-shaped relationship between industrial agglomeration and industrial eco-efficiency, with positive spatial spillover effects. The study also discovers that energy intensity plays a mediating role in this relationship.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Multidisciplinary Sciences
Yanguang Chen
Summary: This paper establishes spatial autocorrelation models based on Moran's index through linear regression analysis, revealing the inherent structure of the model parameters. These models enable the calculation of Moran's index, determining the presence of spatial autocorrelation and aiding in spatial analysis.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Sebastian Juhl
Summary: Eigenvector-based spatial filtering is a flexible approach to account for spatial autocorrelation in regression models. The spfilteR package in R provides useful tools for estimating spatially filtered linear and generalized linear models, allowing automatic selection of relevant eigenvectors and supervised spatial filtering. Comparisons with alternative implementations highlight the added value of the spfilteR package.
Article
Environmental Studies
Hanguang Yu, Dongya Liu, Chunxiao Zhang, Le Yu, Ben Yang, Shijiao Qiao, Xiaoli Wang
Summary: The Pearl River Delta is one of the most dynamic economic regions in the Asia-Pacific region, but it still faces problems such as over-exploitation of urban land and unbalanced development. By studying the spatial-temporal characteristics and driving factors of its development intensity, the key points and difficulties of urban development can be found. Various research methods were used to analyze the overall trends, spatial distribution of hot and cold spots, and driving factors for the development intensity. The findings show a core periphery spatial pattern, agglomeration of hot and cold spots, and the interaction of multiple driving factors.
Article
Multidisciplinary Sciences
Iosu Paradinas, Janine Illian, Sophie Smout, Judi Hewitt
Summary: Species Distribution Models often include spatial effects that improve predictions and reduce errors. However, interpreting spatial patterns becomes difficult due to the presence of unidentified drivers. This study demonstrates that spatial effects can smooth out the effects of multiple unaccounted drivers.
Article
Chemistry, Analytical
Marios Tzouvaras
Summary: This study utilized the coherence data from Sentinel-1 SAR images to successfully detect a sudden coherence loss prior to a landslide in Cyprus on February 15, 2019, providing a reliable basis for early warning and saving many lives.
Article
Engineering, Geological
Zijing Liu, Haijun Qiu, Shuyue Ma, Dongdong Yang, Yanqian Pei, Chi Du, Hesheng Sun, Sheng Hu, Yaru Zhu
Summary: This study analyzed the surface displacement, travel distance, and topographic changes of a reactivated landslide in Changhe Town, Gansu Province, China, using field investigation, InSAR, UAV photogrammetry, remote sensing imagery, and digital elevation model. The results indicate that it is a retrogressive landslide with large pre-failure deformation, spatial differences in surface travel distance, and significant changes in local topography and geomorphology.
Article
Remote Sensing
Alessandro C. Mondini, Kang-Tsung Chang, Shou-Hao Chiang, Romy Schlogel, Claudia Notarnicola, Hitoshi Saito
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2017)
Article
Geosciences, Multidisciplinary
M. Alvioli, A. C. Mondini, F. Fiorucci, M. Cardinali, I. Marchesini
GEOMATICS NATURAL HAZARDS & RISK
(2018)
Article
Engineering, Geological
Federica Fiorucci, Francesca Ardizzone, Alessandro Cesare Mondini, Alessia Viero, Fausto Guzzetti
Article
Environmental Sciences
Alessandro C. Mondini, Michele Santangelo, Margherita Rocchetti, Enrica Rossetto, Andrea Manconi, Oriol Monserrat
Article
Environmental Sciences
Ping Lu, Yuanyuan Qin, Zhongbin Li, Alessandro C. Mondini, Nicola Casagli
REMOTE SENSING OF ENVIRONMENT
(2019)
Article
Geosciences, Multidisciplinary
Alessandro Cesare Mondini, Fausto Guzzetti, Kang-Tsung Chang, Oriol Monserrat, Tapas Ranjan Martha, Andrea Manconi
Summary: Landslides are geomorphological processes with serious threats to people, property, and the environment on all continents. Investigators have shown increasing interest in using Synthetic Aperture Radar (SAR) imagery for landslide detection and mapping, but challenges remain to be faced for effective utilization.
EARTH-SCIENCE REVIEWS
(2021)
Article
Geography, Physical
Margherita Agostini, Alessandro Cesare Mondini, Dino Torri, Mauro Rossi
Summary: This study proposes a method to integrate open remote sensing data and an existing modeling tool to better predict and forecast the spatial and temporal occurrence of gullies. The results show that seasonal conditions play a key role in triggering gully occurrence, and the proposed method can effectively discriminate spatial and temporal differences in gully phenomena.
EARTH SURFACE PROCESSES AND LANDFORMS
(2022)
Article
Environmental Sciences
Francesca Ardizzone, Stefano Luigi Gariano, Evelina Volpe, Loredana Antronico, Roberto Coscarelli, Michele Manunta, Alessandro Cesare Mondini
Summary: Earth observation data are used to analyze the impact of rainfall on slow-moving landslides. In this study, a quantitative procedure is applied to identify displacement clusters and evaluate their relationship with rainfall series at the regional scale. The study area is the Basento catchment in southern Italy. Rainfall series are collected from rain gauges and analyzed for temporal trends. Ground displacements are obtained using Sentinel-1 images and analyzed in relation to rainfall series using statistical and non-parametric tests. Results show significant correlations for certain rainfall conditions and slope responses. Challenges in the procedure are discussed and potential solutions are proposed. The proposed quantitative procedure can be applied to other study areas.
Article
Multidisciplinary Sciences
Alessandro C. Mondini, Fausto Guzzetti, Massimo Melillo
Summary: Rainfall-triggered landslides pose threats to people and the environment in all mountain ranges. Due to projected climate changes, the risk of landslides is expected to increase, emphasizing the need to anticipate their occurrence. This study proposes a deep-learning based strategy to link rainfall to landslide occurrence, which effectively predicts their location and timing, opening up the possibility of operational landslide forecasting based on rainfall measurements and meteorological forecasts.
NATURE COMMUNICATIONS
(2023)
Article
Geosciences, Multidisciplinary
Txomin Bornaetxea, Ivan Marchesini, Sumit Kumar, Rabisankar Karmakar, Alessandro Mondini
Summary: This study evaluates the impact of variable visibility of the territory on the spatial distribution of information in different landslide inventories. Results show that fieldwork, technical reports, and newspapers obtained inventories have a strong relationship between information density and visibility, while photo interpretation obtained inventories have a marked under-representation of small landslides near roads or infrastructures.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Angelica Tarpanelli, Alessandro C. Mondini, Stefania Camici
Summary: Inundation is a major natural hazard in Europe, but flood hazard and risk evaluation is complicated due to poor or unevenly distributed monitoring systems. The ESA Earth Observation Program's satellites, including Sentinels, have the potential to bridge this gap, but current mapping of flooded areas using Sentinel-1 and Sentinel-2 is often incomplete. This study evaluates the effectiveness of these satellites in systematically assessing floods in Europe, and finds that while Sentinel-1 can potentially observe 58% of flood events, Sentinel-2 is limited by cloud coverage and can only observe 28% of events.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Andrea Manconi, Alessandro C. Mondini
Summary: This study presents a procedure for detecting landslide events using regional broadband seismic networks and spaceborne radar imagery. The combination of these techniques aims to exploit their complementary elements and mitigate their limitations when used individually. By testing the method on slope failures associated with the Piz Cengalo rock avalanche in the Swiss Alps, the study demonstrates the effectiveness of the approach. The operational implementation of this method, coupled with the increasing availability of seismic and satellite data, can provide a new and efficient solution for building and expanding landslide catalogues, as well as contributing to hazard assessments and early warning systems at regional scales.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Giuseppe Esposito, Ivan Marchesini, Alessandro Cesare Mondini, Paola Reichenbach, Mauro Rossi, Simone Sterlacchini
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2020)
Article
Geosciences, Multidisciplinary
Francesco Brozzetti, Alessandro Cesare Mondini, Cristina Pauselli, Paolo Mancinelli, Daniele Cirillo, Fausto Guzzetti, Giusy Lavecchia
Article
Meteorology & Atmospheric Sciences
Mauro Rossi, Dalia Kirschbaum, Daniela Valigi, Alessandro Cesare Mondini, Fausto Guzzetti