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  • MDPI - Multidisciplinary Digital Publishing Institute  (24)
  • American Geophysical Union  (4)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: In this book are reported nine works related to land subsidence monitoring using remote sensing techniques. Land subsidence is a common phenomenon in many regions of the world, where it causes degradation of local ecosystems and disruption of economic activities. Its effects are more evident in densely populated areas in particular in low-lying territories such as river deltas and coastal areas where the combination of land subsidence and sea level rise increases the flooding risk. For this reason, the monitoring of ground deformations is a crucial step to obtain important information for the development of risk mitigation strategies. In the presented papers, the characteristics of land subsidence occurring in different study areas are described, and recent developments in the used methodologies for the monitoring of the ground displacements are discussed and validated also by means of ground-based data. Moreover, advantages and disadvantages of the adopted techniques are highlighted. The outcomes of these research works can provide national and local authorities with useful information for the implementation of integrated monitoring systems in the areas most affected by land subsidence.
    Keywords: land subsidence ; IPTA ; land-use ; water resource utilization ; groundwater change ; deformation ; geology ; Gävle ; InSAR ; PSI ; precise levelling ; sentinel-1 ; subsidence ; Sweden ; ALOS/PALSAR ; time series analysis ; SBAS ; hot spring water ; hydrothermal fluids ; Hakone Volcano ; satellite geodesy ; radar interferometry ; persistent scatterers ; distributed scatterers ; orbit combination ; Sentinel-1 ; cavern field ; salt deposit ; geophysical modeling ; underground gas storage ; GNSS ; ground movement ; subsidence monitoring ; integrated numerical simulation ; Dubrovnik ; satellite altimetry ; tide gauges ; vertical land motion ; DInSAR ; mining-induced tremors ; land surface deformation ; Upper Silesian Coal Basin ; Interferometry ; SNAP-StaMPS ; Ground deformation ; Po River Delta ; integrated monitoring ; time-series analysis ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Twelve edited original papers on the latest and state-of-art results of topics ranging from calibration, validation, and science to a wide range of applications using ALOS-2/PALSAR-2. We hope you will find them useful for your future research.
    Keywords: Sentinel-1 ; ALOS/PALSAR-2 ; land subsidence ; accuracy assessment ; Alexandria City ; Egypt ; local climate zone ; random forest ; feature importance ; land surface temperature ; grid cells ; Sentinel-2 ; PALSAR-2 ; ASTER ; soil moisture ; ALOS-2 ; GA-BP ; water cloud model ; L-band ; SAR ; backscattering ; soil moisture content ; LAI ; HH and HV polarization ; flood ; NoBADI ; Florida ; Hurricane Irma ; synthetic aperture radar ; polarimetric radar ; co-polarized phase difference ; radar scattering ; vegetation ; radar applications ; agriculture ; leaf area index ; leave-one-out cross-validation ; oil palm ; radar vegetation index ; vegetation descriptors ; ecosystem carbon cycle ; L-band SAR ; vegetation index ; random forest regression ; plantation ; permafrost ; InSAR ; Qinghai-Tibet Plateau ; ALOS ; thermal melting collapse ; Sentinel-1A ; SBAS-InSAR ; heavy forest area ; potential landslide identification ; SAR-based landslide detection ; Growing Split-Based Approach (GSBA) ; Hokkaido landslide ; Putanpunas landslide ; SAR polarimetry ; model-free 3-component decomposition for full polarimetric data (MF3CF) ; radar polarimetry ; calibration ; Faraday rotation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
    Keywords: Traffic sign detection and tracking (TSDR) ; advanced driver assistance system (ADAS) ; computer vision ; 3D convolutional neural networks ; machine learning ; CT brain ; brain hemorrhage ; visual inspection ; one-class classifier ; grow-when-required neural network ; evolving connectionist systems ; automatic design ; bio-inspired techniques ; artificial bee colony ; image analysis ; feature extraction ; ship classification ; marine systems ; citrus ; pests and diseases identification ; convolutional neural network ; parameter efficiency ; vehicle detection ; YOLOv2 ; focal loss ; anchor box ; multi-scale ; deep learning ; neural network ; generative adversarial network ; synthetic images ; tool wear monitoring ; superalloy tool ; image recognition ; object detection ; UAV imagery ; vehicular traffic flow detection ; vehicular traffic flow classification ; vehicular traffic congestion ; video classification ; benchmark ; semantic segmentation ; atrous convolution ; spatial pooling ; ship radiated noise ; underwater acoustics ; surface electromyography (sEMG) ; convolution neural networks (CNNs) ; hand gesture recognition ; fabric defect ; mixed kernels ; cross-scale ; cascaded center-ness ; deformable localization ; continuous casting ; surface defects ; 3D imaging ; defect detection ; object detector ; object tracking ; activity measure ; Yolo ; deep sort ; Hungarian algorithm ; optical flows ; spatiotemporal interest points ; sports scene ; CT images ; convolutional neural networks ; hepatic cancer ; visual question answering ; three-dimensional (3D) vision ; reinforcement learning ; human–robot interaction ; few shot learning ; SVM ; CNN ; cascade classifier ; video surveillance ; RFI ; artefacts ; InSAR ; image processing ; pixel convolution ; thresholding ; nearest neighbor filtering ; data acquisition ; augmented reality ; pose estimation ; industrial environments ; information retriever sensor ; multi-hop reasoning ; evidence chains ; complex search request ; high-speed trains ; hunting ; non-stationary ; feature fusion ; multi-sensor fusion ; unmanned aerial vehicles ; drone detection ; UAV detection ; visual detection ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Language: English
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint focuses on original research articles on the use of geodetic measurement techniques for land deformation identification, monitoring, and impact assessment. The development and application of modern surveying techniques for understanding land deformation is of particular interest. There is a special focus on examining the current and advanced geodetic measurement techniques, including radar interferometry (InSAR), global navigation satellite systems (GNSS), light detection and ranging (LiDAR), close-range photogrammetry (CRP), Robotic Total Station (RTS), digital levelling etc., to detect and monitor land deformation.
    Keywords: GPS height time series ; surface mass loading ; RMS reduction rate ; annual amplitude and phase ; annual phase difference ; Msplit estimation ; TLS measurements ; terrain profiles ; vertical displacements ; hydrological loading ; long-term coordinate series ; noise model ; velocity ; amplitude ; ground-based SAR ; UAV aerial photogrammetry ; geocoding ; solution space search ; landslide monitoring ; ground fissure extraction ; loess landform ; modified MF-FDOG algorithm ; RF algorithm ; UAV image ; InSAR ; ice velocity field ; Sentinel-1 images ; missing data recovering ; ice rigidity inversion ; GPS ; GRACE ; LDCmgm90 ; time-variable gravity ; loading deformation ; Aniangzhai landslide ; Danba County ; multi-hazard chain ; time-series InSAR ; optical image analysis ; “space-sky-ground” collaborative monitoring framework ; mining subsidence ; preference model ; AHP-TOPSIS ; GNSS ; leveling ; Sichuan–Yunnan region ; vertical deformation ; independent component analysis ; soft clay ; highway ; deformation monitoring ; environmental loading ; thermal expansion effect ; monument types ; mining area ; hazard identification ; landslide evolution pattern ; hazard chain ; GB-InSAR ; LSTM model ; deformation prediction ; real-time processing ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Droughts are one of the main extreme meteorological, and hydrological phenomena, which influence both the functioning of ecosystems, and many important sectors of human economic activity. Throughout the world, various direct changes in meteorological, and climatic conditions, such as: air temperature, humidity, and evapotranspiration can be observed. They have a significant influence upon the shaping of the phenomenon of drought. Land cover and land use can also be indirect factors influencing evapotranspiration, and, by the same token, the water balance in the water catchment area. They can also influence the course of the process of the drought. The observed climate change, manifested mainly by increases in temperature, in turn, influencing evapotranspiration, may cause intensification in terms of both the degree and frequency of droughts. Droughts related to changes in the hydrological regime, and to the decrease in water resources. Its results can be observed in various sectors, related, among others, to a demand for water for people, agriculture and the Industry. It can also prove problematic for water ecosystems. To reflect the aforementioned information, a reasonable drought risk management is indispensable in order to ease the water demand related problems in various sectors of human activity. This book presents original research on various drought indicators, modern measurement techniques used, among others, for monitoring and predicting droughts, drought indicator trends, the impact of insufficient precipitation on human activity in the context of climate change, and examples of modern solutions devised to prevent water shortages.
    Keywords: extensive green roofs ; climate change ; summer drought ; urban vegetation ; phytomass ; fertilizer ; biodiversity ; blue green infrastructure ; pan evaporation ; ANN ; WANN ; SVM-RF ; SVM-LF ; Pusa station ; drought ; SPI ; run theory ; Sen’s estimator ; Mann–Kendall ; Wadi Cheliff Basin ; water stress ; soil moisture ; atmospheric evaporative demand ; eddy covariance ; gross primary productivity ; meteorological drought ; agricultural drought ; atmospheric circulation ; elementary circulation mechanism (ECM) ; information entropy ; atmospheric blocking ; hydrological drought ; trends ; central Poland ; lotic systems ; refuge habitats ; fish ; risk management ; forecasting ; ARIMA ; Standardized Precipitation Evapotranspiration Index (SPEI) ; mitigation ; atmospheric drought ; forest drought ; Carpathian Mts. ; beech ; vertical climate zones ; Copernicus Sentinel-1 ; electrical resistivity tomography ; expansive clay ; InSAR ; shrink-swell risk ; SMOS surface soil moisture ; wavelet analysis ; precipitation ; precipitation deficit ; climatic water balance ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 7
    Publication Date: 2024-04-11
    Description: This book focuses on remote sensing for urban deformation monitoring. In particular, it highlights how deformation monitoring in urban areas can be carried out using Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions show the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. Some of them show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This book is dedicated to the technical and scientific community interested in urban applications. It is useful for choosing the appropriate technique and gaining an assessment of the expected performance. The book will also be useful to researchers, as it provides information on the state-of-the-art and new trends in this field
    Keywords: TA1-2040 ; T1-995 ; surface subsidence ; PS ; permanent scatterers ; land subsidence ; PS-InSAR ; thermal dilation ; SBAS-InSAR ; Sepulveda Transit Corridor ; deformation ; differential SAR interferometry ; reclaimed land ; Istanbul ; deformation monitoring ; skyscrapers ; generalized likelihood ratio test ; validation ; uplift ; displacement monitoring ; pursuit monostatic ; radar interferometry ; Sentinel-1A ; urbanization ; synthetic aperture radar ; Turkey ; terraSAR-X ; geological and geomorphological mapping ; London ; differential compaction ; expansive soils ; health monitoring ; Copernicus Sentinel-1 ; displacement mapping ; PALSAR ; land reclamation ; tomography ; Venetian-Friulian Plain ; ALOS PALSAR ; multi-temporal DInSAR ; SAR interferometry ; InSAR ; persistent scatterers ; carbonate karstification ; ENVISAT ASAR ; multiple PS detection ; sparse signals ; urban subsidence ; time series InSAR analysis ; time series analysis ; Persistent Scatterer Interferometry (PSI) ; engineering construction ; Rome ; persistent scatterer interferometry ; subsidence ; persistent scatterer interferometry (PSI) ; SNAP-StaMPS ; Lingang New City ; dewatering ; atmospheric component ; urban deformation monitoring ; Sentinel-1 ; differential interferometry ; Late-Quaternary deposits ; modelling ; Generalized Likelihood Ratio Test ; Persistent Scatterer Interferometry ; synthetic aperture radar (SAR) ; Capon estimation ; differential tomography ; deformation time series ; groundwater level variation ; radar detection ; multi-look SAR tomography ; spaceborne SAR ; SAR ; ERS-1/-2 ; reclamation settlements ; Wuhan ; subsidence monitoring ; water level changes ; polarimetry ; asymmetric subsidence ; urban monitoring ; urban areas ; landslide ; SAR tomography ; Urayasu City ; risk ; Los Angeles ; PALSAR-2 ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint focuses on original research articles on the use of geodetic measurement techniques for land deformation identification, monitoring, and impact assessment. The development and application of modern surveying techniques for understanding land deformation is of particular interest. There is a special focus on examining the current and advanced geodetic measurement techniques, including radar interferometry (InSAR), global navigation satellite systems (GNSS), light detection and ranging (LiDAR), close-range photogrammetry (CRP), Robotic Total Station (RTS), digital levelling etc., to detect and monitor land deformation.
    Keywords: GPS height time series ; surface mass loading ; RMS reduction rate ; annual amplitude and phase ; annual phase difference ; Msplit estimation ; TLS measurements ; terrain profiles ; vertical displacements ; hydrological loading ; long-term coordinate series ; noise model ; velocity ; amplitude ; ground-based SAR ; UAV aerial photogrammetry ; geocoding ; solution space search ; landslide monitoring ; ground fissure extraction ; loess landform ; modified MF-FDOG algorithm ; RF algorithm ; UAV image ; InSAR ; ice velocity field ; Sentinel-1 images ; missing data recovering ; ice rigidity inversion ; GPS ; GRACE ; LDCmgm90 ; time-variable gravity ; loading deformation ; Aniangzhai landslide ; Danba County ; multi-hazard chain ; time-series InSAR ; optical image analysis ; “space-sky-ground” collaborative monitoring framework ; mining subsidence ; preference model ; AHP-TOPSIS ; GNSS ; leveling ; Sichuan–Yunnan region ; vertical deformation ; independent component analysis ; soft clay ; highway ; deformation monitoring ; environmental loading ; thermal expansion effect ; monument types ; mining area ; hazard identification ; landslide evolution pattern ; hazard chain ; GB-InSAR ; LSTM model ; deformation prediction ; real-time processing ; n/a
    Language: English
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This reprint covers works related to research on the environments of coastal zones and inland waters, solving complex and current scientific problems in these areas. Tasks undertaken by the authors address current research trends using contemporary remote sensing techniques and cover various thematic areas or scientific approaches. Some works propose new possibilities of using geospatial data or methods of remote sensing data processing. They include issues related to the use of augmented and virtual reality, object-oriented image analysis, UAV-based photogrammetry, fusion of hydroacoustic and photogrammetric data, spatial interpolation, and geodata reduction techniques. These methods are being developed to support safe navigation in inland waters; low-cost monitoring of underwater objects; creating bathymetric maps and topobathymetric digital models or mapping submerged aquatic vegetation. The papers also focus on improving existing solutions and demonstrate new research approaches, including atmospheric correction, adjacency effects for remotely sensed images, classification of wetland vegetation, as well as determining the speed of sound in shallow waters for hydrography applications. These papers demonstrate the potential of the information contained in the remote sensing data acquired by the various platforms, as well as techniques for image processing based on the Google Earth Engine (GEE).
    Keywords: DTM ; seabed ; hydrography ; UAV ; topobathymetry ; data reduction ; spatial interpolation ; terrain modeling ; atmospheric correction ; CASI-1500 ; Polymer ; remote sensing reflectance ; coastal waters ; USV ; digital bathymetric model ; bathymetry ; data fusion ; surface modeling ; submerged aquatic vegetation ; macrophytes ; OBIA ; GeOBIA ; high-resolution ; unmanned aerial vehicle (UAV) ; coastal monitoring ; image processing ; object detection ; underwater reef ; sound speed in water ; sound velocity profiler ; hydrographic surveys ; reliability of digital sea bottom model ; coastal zone ; shoreline changes ; erosion/accretion ; multi-temporal orthophotomaps ; remote sensing ; Digital Elevation Model (DEM) ; geo-information services ; Mobile Augmented Reality (MAR) ; inland and coastal water zones ; navigation ; spatial databases and GIS ; Virtual Reality Geographic Information System (VRGIS) ; adjacency effects ; surface reflectance ; aerosol ; 6SV ; radiative transfer ; coastal dynamics ; coastline erosion ; vertical ground displacement ; InSAR ; HLS data ; Lake Erie ; NDVI ; vegetation classification ; sea–land mapping ; cloud computing ; Guadiaro river ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Earth observation (EO), remote sensing (RS), and geoinformation (GI) technologies play a critical role in the study of Svalbard's environment, providing insights into the region's changes and supporting decision-making processes. This reprint presents a comprehensive overview of the applications of EO and RS technologies in Svalbard, covering a wide range of topics related to the environment. It includes contributions from leading experts in the field, providing insights into the current state of the art and future directions for research. The reprint starts by introducing the status of EO and RS in Svalbard, providing a solid foundation for readers new to the field. It then delves into specific applications of these technologies, including the monitoring of glaciers, snow cover, and permafrost using ground-, space-, and air-based RS platforms. Overall, this book aims to provide a comprehensive overview of the applications of EO and RS technologies in Svalbard, highlighting their importance in understanding and addressing the challenges faced by the region. It will be a valuable resource for researchers, students, policymakers, and practitioners in the fields of environmental science, geography, and remote sensing.
    Keywords: snow cover ; remote sensing ; sea ice variability ; vegetation growth ; arctic climate change ; Arctic aerosol ; aerosol transport ; aged aerosol ; aerosol modification ; aerosol optical properties ; aerosol microphysical properties ; aerosol remote sensing ; microphysical inversion ; aerosol radiative effect ; Arctic radiative budget ; earth observation ; COVID-19 ; Svalbard ; earth system science ; SIOS ; polar regions ; snow modelling ; MODIS ; Sentinel-2 ; permafrost ; active layer ; InSAR ; time series ; ground displacement ; ground temperature ; displacement progression ; thaw progression ; Arctic ; NDVI ; time-series ; onset of growth ; classifier ; disturbance ; drone ; ecological monitoring ; GLCM ; herbivore ; random forest ; winter climate effect ; grubbing ; Arctic clouds ; cirrus clouds ; ice clouds ; lidar ; ocean eddies ; marginal ice zone ; sea ice ; SAR imaging ; Fram Strait ; Greenland Sea ; Hopen Island ; Arctic Ocean ; tidewater glaciers ; surface elevation changes ; glacier geometry ; structure-from-motion ; terrestrial laser scanning ; digital elevation model ; ICESat-2 ; laser altimetry ; kinematic GPS experiments ; glaciology ; surge glaciers ; svalbard ; density dimension algorithm for ice surfaces ; airborne validation of satellite data ; lake ice ; Sentinel-1 ; water temperature ; glacier facies ; atmospheric correction ; pansharpening ; WorldView-2 ; Ny-Ålesund ; Chandra–Bhaga basin ; target detection ; supervised classification ; Sentinel-1 and Sentinel-2 ; time series analysis ; snow melt ; tundra ; plant phenology ; ice cover ; Antarctic ; spectral reflectance ; hyperspectral data ; ocean colour ; coastal darkening ; SPM ; sediment plumes ; Arctic coast ; regional tuning ; coastal ecosystems ; land-ocean-interaction ; riverine inputs ; geographic object-based image analysis ; glacier surface facies ; surface facies of glaciers ; pixel-based image analysis ; atmospheric corrections ; image processing routines ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Interferometric synthetic aperture radar (InSAR) has demonstrated its potential in monitoring geological disasters, e.g., in relation to subsidence, landslides, earthquakes, and volcanoes. Such monitoring results provide significant information for further physical modeling, driving mechanism interpretation, developments in early warning technology, and the management and formulation of policies by relevant authorities and stakeholders. This reprint focuses on monitoring and modelling of geological disasters using InSAR observations. The content covers topics such as PS/DS processing, deformation parameter inversion, motoring deformation (e.g., earthquakes, volcanoes, and oil extraction), and driving mechanism interpretation. These excellent reports significantly contribute to further developments in the monitoring and modeling of geological disasters using InSAR techniques.
    Keywords: landslide ; DS-InSAR ; deformation monitoring ; stability analysis ; InSAR ; mine ; land subsidence ; time series deformation ; model ; Su-Xi-Chang area ; InSAR time-series ; ground fissure ; FLAC3D ; Yangbi MW 6.1 earthquake ; time-series InSAR ; error elimination ; high-precision coseismic deformation ; fault inversion ; Anak Krakatau volcano ; the Nobuyuki Otsu (OTSU) method ; multi-polarization ; synthetic aperture radar (SAR) ; Interferometric Synthetic Aperture Radar (InSAR) ; coseismic displacement ; tropospheric delay correction ; small-to-moderate earthquakes ; geodetic earthquake catalogue ; source inversion ; rupture model ; strong motion ; seismic hazard ; Altyn Tagh Fault ; asymmetry interseismic strain ; viscoelastic ; permafrost ; ALT ; FCNInSAR ; CSK images ; thaw settlement coefficient ; VWC ; SoilGrids ; ankang airport ; expansive soil ; phase optimization ; PS-InSAR ; singular spectrum analysis (SSA) ; dataset calibration ; quadratic polynomial fitting ; spatiotemporal evolution characteristics ; Dalian Jinzhou Bay International Airport ; SBAS-InSAR ; Terzaghi consolidation theory ; subsidence monitoring ; subsidence prediction ; ground deformation ; PSInSAR ; leveling ; groundwater ; Shanghai Lingang New City ; Wuhan city ; urban construction ; land uplift ; Persistent Scatter Interferometry (PSI) ; persistent scatterers (PSs) ; distributed scatterers (DSs) ; Bayesian theory ; land deformation ; ERA5 ; the crustal movement observation network of China ; variance component estimation weighting (VCE) ; accuracy analysis ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint "The November 23rd, 1980 Irpinia-Lucania, Southern Italy Earthquake: Insights and Reviews 40 Years Later” presents a collection of 13 scientific contributions proposed by 44 researchers with different expertise and multidisciplinary approach highlighting the most important aspects of the Irpinia-Lucania earthquake (Ms 6.9, Io X MCS) from a seismological and geological point of view, without neglecting the reconstruction of cultural heritage, the resilience of the population, and the socioeconomic development of the internal areas of the Southern Apennines after the earthquake. The 1980 earthquake struck Irpinia-Lucania region (Southern Italy) and it is remembered in Italy not only for being the strongest earthquake recorded in the last 100 years causing devastation of entire regions and severe loss of human life, but also for the destruction of the cultural heritage in the epicentral area. This volume, far from being exhaustive, nevertheless wants to be an important point of reference for the new generations of researchers who will have both a historical and multidisciplinary approach to the knowledge of this earthquake.
    Keywords: Irpinia-Basilicata earthquake ; seismic assessment ; soil structure interaction ; numerical simulations ; OpenSees ; earthquake risk ; earthquake fatalities ; Italian earthquakes ; Irpinia earthquake ; Irpinia–Basilicata earthquake ; soil–structure interaction ; geological map ; tunnel geology ; sandstone petrology ; foreland basin evolution ; 1980 Irpinia-Basilicata earthquake ; southern Apennines ; Italy ; Irpinia fault ; historical earthquakes ; archaeoseismology ; paleoseismology ; disasters ; earthquake ; reconstruction ; cultural heritage ; experiences ; oral history ; memory ; 1980 earthquake ; earthquake effects ; environmental effects ; disaster epidemiology ; disaster response ; 1980 Irpinia earthquake ; active faults ; postseismic afterslip ; ground response ; 2D numerical analysis ; soil-structure effects ; photographic reportage ; rebuilding ; earthquake seismology ; microseismicity ; seismic techniques ; seismotectonics ; earthquake history ; Irpinia ; seismic hazard ; strain rate ; GNSS ; InSAR ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning
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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This reprint, named “Landslides in Forests around the World: Causes and Mitigation”, covers various topics, such as the impact mechanism of tree roots on landslide stability, landslide deformation monitoring, landslide disaster prevention and control engineering technology, the automatic identification of regional landslides, susceptibility and hazard assessment, and a rainfall-induced mass landslide warning.
    Keywords: shallow landslide ; probability of occurrence ; typhoon ; data-driven model ; Ningguo City ; landslide susceptibility ; antecedent effective precipitation ; daily precipitation ; hybrid landslide warning model ; multibaseline InSAR techniques ; Guang’an Village Landslide ; InSAR ; time-series analysis ; post-event deformation mapping ; root-soil composite ; root reinforcement coefficient ; shear strength parameters ; root distribution angle ; root diameter ; landslide susceptibility mapping ; random forest model ; qualitative analysis ; quantitative evaluation ; Yunyang County ; granular flow ; ring-shear test ; fluctuation characteristics ; landslide ; susceptibility ; tree species ; age group ; woodland type ; forest origin ; YOLOv3 ; deep learning ; automatic landslide identification ; remote sensing image ; flexible rockfall barrier ; energy capacity ; landslide debris ; field investigation ; coupled numerical simulation ; land-use suitability ; Hechuan District ; landslide susceptibility assessment ; machine learning ; Three Gorges Reservoir area ; early-warning model ; Random Forest ; model study ; nucleation process ; waveform similarity ; repeating earthquakes ; neighboring earthquakes ; reinforcement of roots ; slope stability ; growth and decay ; Japanese cedar trees ; shallow landslides ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
    Language: English
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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  • 15
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Coasts are highly dynamic and geomorphologically complex systems that evolve under the growing pressures of climate change and anthropogenic activities, which can have direct or indirect impacts on the coastal environment. Among the major adverse effects, coastal erosion represents one of the most pressing global issues, especially in flat and low-lying coastal areas that appear to be particularly susceptible to beach erosion and related shoreline retreat. This Special Issue presents twelve papers on “Shoreline Dynamics and Beach Erosion” that contribute to the growing body of knowledge on the dynamics and spatial-temporal evolution of shorelines and beach systems. Using multi-, interdisciplinary, and new experimental approaches, coastal systems of variable complexities located in different geographic and climatic contexts are investigated. The major topics covered concern the morphodynamics and hydrodynamics of coastal systems, the driving factors of coastal erosion, and the use of models and indexes to study coastal vulnerability, and the mitigation of human and natural pressures affecting coastal ecosystems.
    Keywords: Baltic Sea ; cliff ; sandy spit ; beach ; beach gravels ; gravel grain shape ; lithostatistical analysis ; coastal zone dynamics ; lithodynamics ; beach sediment budget ; coastal dynamics ; beach evolution ; coastal morphology ; feed-back processes ; Philippines ; Lingayen Gulf ; Suruga Bay ; high-angle waves ; sand spit ; shoreline instability ; BG model ; rate of longshore sand transport ; wave climate ; nearshore bars ; field data ; cross-shore bar migration ; wave conditions ; wave non-linearity ; storms ; teleconnection patterns ; Black Sea ; crenulated-bay beach ; hyperbolic-tangent shape ; shoreline response ; Boussinesq Wave model ; coastal defences ; extreme wave storms ; tidal levels ; tourist beaches ; beach erosion ; infrastructure damage ; socioeconomic impacts ; Tenerife ; Canary Islands ; volcanic coast ; cliff instability ; rock falls ; Campi Flegrei ; southern Italy ; sea-level rise ; InSAR ; Magdalena River ; coastal changes ; subsidence ; mangroves ; sediment compaction ; La Mancha lagoon ; coastal ; dynamics ; DESCR framework ; barrier spit ; overwash ; barrier migration ; shoreline change ; hurricane ; extra-tropical storm ; North Captiva Island ; barrier island ; Hurricane Charley ; sediment transport ; shoreline evolution ; UAV data elaboration ; coastal vulnerability assessment ; CVA approach ; Molise coast ; Italy ; morpho-sedimentological characterization ; coastal system analysis and modeling ; hydro-meteorological extremes ; sea level rise ; coastal hydrodynamics ; beach erosion drivers ; coastal susceptibility and risk ; coastal dune and beach management ; coastline defense and anthropization ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: Earth Observations (EO) encompasses different types of sensors (e.g., SAR, LiDAR, Optical and multispectral) and platforms (e.g., satellites, aircraft, and Unmanned Aerial Vehicles) and enables us to monitor and model geohazards over regions at different scales in which ground observations may not be possible due to physical and/or political constraints. EO can provide high spatial, temporal and spectral resolution, stereo-mapping and all-weather-imaging capabilities, but not by a single satellite at a time. Improved satellite and sensor technologies, increased frequency of satellite measurements, and easier access and interpretation of EO information have all contributed to the increased demand for satellite EO data. EO, combined with complementary terrestrial observations and with physical models, have been widely used to monitor geohazards, revolutionizing our understanding of how the Earth system works.
    Keywords: GE1-350 ; LiDAR ; InSAR ; remote sensing ; earthquake ; UAV ; landslide ; land subsidence ; earth observation ; surface displacement ; geohazards ; deformation ; optical ; damage assessment ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics
    Language: English
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  • 17
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-10-25
    Description: Significant progress has been made in the last few years that has expanded the knowledge of landslide processes. It is, therefore, necessary to summarize, share and disseminate the latest knowledge and expertise. This Special Issue brings together novel research focused on landslide monitoring, modelling and data analysis.
    Keywords: landslide susceptibility assessment ; geographically weighted regression ; spatial non-stationary ; spatial proximity ; slope unit ; multitemporal DEM ; control factors ; susceptibility assessment ; LRM ; historical landslide events ; unsaturated soil ; capillary barrier ; multi-layer slope ; slope failure ; coastal landslides ; mass rock creep ; coastal cliffs ; land surface analysis ; data analysis ; Conero promontory ; slow-moving landslide ; landslide monitoring ; time-series analysis ; San Andrés Landslide ; El Hierro ; Canary Islands ; large-scale landslide model experiment ; soil–water characteristic curve ; Bayesian updating ; Markov chain Monte Carlo ; artificial neural networks ; object-based image analysis ; Sentinel-1 ; Sentinel-2 ; digital elevation model ; InSAR ; landslide ; landslide-dammed lake ; river ; Iceland ; rockfill ; ground-based interferometric synthetic aperture radar ; construction ; cross-sectional area of equal displacement body ; landslide warning method ; data mining ; landslide detection ; landslide inventory ; Typhoon Morakot ; Global Positioning System (GPS) ; disaster prevention monitoring ; disaster mitigation ; monitoring ; landslides ; photogrammetry ; global positioning system ; in-hole wire extensometer ; DInSAR ; GBSAR ; landslide susceptibility ; ranking ; cross validation ; prediction model ; prediction pattern ; target pattern ; uncertainty pattern ; airborne electromagnetics ; physical-based modeling ; tropical volcanic environment ; La Martinique ; modelling ; susceptibility ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning
    Language: English
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  • 18
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in the observation of the natural and built environment with better understanding of phenomena at required spatial scale.
    Keywords: VHR tri-stereo satellite imagery ; digital elevation model ; isolated objects ; dense image matching ; change detection ; natural disasters ; deep learning ; threshold selection ; optical flow estimation ; Structure from Motion (SfM) ; 3D reconstruction ; noise estimation ; point clouds ; roughness ; surface reconstruction ; mesh model ; visibility constraints ; volumetric methods ; dense point cloud ; multiple view stereo (MVS) ; dense image matching (DIM) ; photogrammetry ; computer vision ; Copernicus ; Sentinel-1 ; Sentinel-2 ; InSAR ; damage proxy map ; Beirut ; Lebanon ; explosion ; radiometric calibration ; modeling ; geometric error ; high-precision calibration ; n/a ; preprocessing ; enhancement ; point cloud ; image processing ; image histogram ; UAV ; camera calibration ; GNSS-assisted block orientation ; dome effect ; Monte Carlo simulation ; soil moisture content ; artificial neural network ; sample optimization ; synthetic aperture radar ; optical remote sensing image ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Interferometric synthetic aperture radar (InSAR) has demonstrated its potential in monitoring geological disasters, e.g., in relation to subsidence, landslides, earthquakes, and volcanoes. Such monitoring results provide significant information for further physical modeling, driving mechanism interpretation, developments in early warning technology, and the management and formulation of policies by relevant authorities and stakeholders. This reprint focuses on monitoring and modelling of geological disasters using InSAR observations. The content covers topics such as PS/DS processing, deformation parameter inversion, motoring deformation (e.g., earthquakes, volcanoes, and oil extraction), and driving mechanism interpretation. These excellent reports significantly contribute to further developments in the monitoring and modeling of geological disasters using InSAR techniques.
    Keywords: landslide ; DS-InSAR ; deformation monitoring ; stability analysis ; InSAR ; mine ; land subsidence ; time series deformation ; model ; Su-Xi-Chang area ; InSAR time-series ; ground fissure ; FLAC3D ; Yangbi MW 6.1 earthquake ; time-series InSAR ; error elimination ; high-precision coseismic deformation ; fault inversion ; Anak Krakatau volcano ; the Nobuyuki Otsu (OTSU) method ; multi-polarization ; synthetic aperture radar (SAR) ; Interferometric Synthetic Aperture Radar (InSAR) ; coseismic displacement ; tropospheric delay correction ; small-to-moderate earthquakes ; geodetic earthquake catalogue ; source inversion ; rupture model ; strong motion ; seismic hazard ; Altyn Tagh Fault ; asymmetry interseismic strain ; viscoelastic ; permafrost ; ALT ; FCNInSAR ; CSK images ; thaw settlement coefficient ; VWC ; SoilGrids ; ankang airport ; expansive soil ; phase optimization ; PS-InSAR ; singular spectrum analysis (SSA) ; dataset calibration ; quadratic polynomial fitting ; spatiotemporal evolution characteristics ; Dalian Jinzhou Bay International Airport ; SBAS-InSAR ; Terzaghi consolidation theory ; subsidence monitoring ; subsidence prediction ; ground deformation ; PSInSAR ; leveling ; groundwater ; Shanghai Lingang New City ; Wuhan city ; urban construction ; land uplift ; Persistent Scatter Interferometry (PSI) ; persistent scatterers (PSs) ; distributed scatterers (DSs) ; Bayesian theory ; land deformation ; ERA5 ; the crustal movement observation network of China ; variance component estimation weighting (VCE) ; accuracy analysis ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RNP Pollution & threats to the environment::RNPG Climate change
    Language: English
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  • 20
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: With a wide spectrum of imaging capabilities, Earth observation offers several opportunities for the geoscience community to map and monitor natural and human-induced Earth hazards from space. The objective of this book is to collect scientific contributions on the development, validation, and implementation of satellite data, processing methods, and applications for mapping and monitoring of geohazards such as slow moving landslides, ground subsidence and uplift, and active and abandoned mining-related ground movements. The book includes research papers published in the Special Issue "Observing Geohazards from Space" of Geosciences, which provides a number of novel case studies demonstrating how Earth observation and remote sensing data can be used to detect and delineate land instability and geological hazards in different environmental contexts and using a range of spatial resolutions and image processing methods.
    Keywords: QE1-996.5 ; QC1-999 ; ground deformation ; object-based classification ; aerial photography ; landslides ; LiDAR ; photogrammetry ; subsidence ; InSAR ; natural hazards ; mining ; bic Book Industry Communication::R Earth sciences, geography, environment, planning
    Language: English
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  • 21
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Earth observation (EO) techniques have proven to be reliable and accurate for monitoring land-surface deformations that occur naturally (landslides, earthquakes, and volcanoes) or due to anthropogenic activities (ground-water overexploitation, extraction of oil and gas). In cases where mitigation methods have to be put into practice, the detailed mapping, characterization, monitoring and simulation of the geocatastrophic phenomena have to precede their design and implementation. EO techniques possess high potential and suitability as alternative, cost-efficient methods for the management of geohazards, and have been proven to be a valuable tool for verifying and validating the spatial extent and evolution of the deformations. To this extent, the current reprint covers innovative applications and case studies on the mapping and monitoring of all kinds of geohazards with remote-sensing technologies. Submissions that make use of new tools and methodologies, including the use of data-driven machine learning methods, were encouraged.
    Keywords: Geohazards ; InSAR ; Remote sensing ; Photogrammetry ; Unmanned aerial vehicles ; GNSS ; TLS ; Persistent scatterer interferometry ; Machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 22
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This special volume aims to collecg new ideas and contributions at the frontier between the fields of data handling, processing and modeling for volcanic and seismic systems. Technological evolution, as well as the increasing availability of new sensors and platforms, and freely available data, pose a new challenge to the scientific community in the development new tools and methods that can integrate and process different information. The recent growth in multi-sensor monitoring networks and satellites, along with the exponential increase in the spatiotemporal data, has revealed an increasingly compelling need to develop data processing, analysis and modeling tools. Data processing, analysis and modeling techniques may allow significant information to be identified and integrated into volcanic/seismological monitoring systems. The newly developed technology is expected to improve operational hazard detection, alerting, and management abilities.
    Keywords: seismic swarm ; relocated aftershocks ; transition zone ; b value temporal variation ; central Ionian Islands (Greece) ; volcanic eruptions ; volcanic plumes ; CO2 flux ; DIAL-Lidar ; data processing techniques ; SAR ; InSAR ; ground deformation ; Sentinel-1 ; volcano monitoring ; GNSS ; seismicity ; slope instability ; MT-InSAR ; volcanoes ; ASTER ; Robust Satellite Techniques ; Google Earth Engine ; volcanic mounds ; seismic time and depth processing ; MVA ; CO2 storage ; volcano geodesy ; multidisciplinary monitoring ; paroxysms ; lava fountain ; volcanic eruption ; modeling ; tilt ; GPS ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 23
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-20
    Description: This Special Issue is a collection of papers addressing the scientific use of data acquired in the course of the TerraSAR-X mission 10 years after launch. The articles deal with the mission itself, the accuracy of the products, with differential interferometry, and with applications in the domains cryosphere, oceans, wetlands, and urban areas.
    Keywords: Q1-390 ; PS ; mussel beds ; community survey ; RADARSAT-2 ; ALOS-1 ; land subsidence ; TomoSAR ; wave breaking ; high resolution InSAR ; surface water monitoring ; ground control points ; review ; SLR ; orbit ; radar ranging ; validation ; multi-baseline ; satellite time series ; convolutional neural networks (CNN) ; POD ; internal calibration ; surface movement monitoring ; landslide monitoring ; classification ; monitoring ; synthetic aperture radar ; mission ; film slicks on the sea surface ; geodetic ; robust estimation ; processing ; coastal environments ; small-scale movements ; time-series ; TSX Staring spotlight ; zenith path delay ; satellite orbit ; ERS ; dual co-polarized microwave radar ; global ; SVM ; marine ; covariance matrix ; tsunami ; deep CNN ; slant path delay ; X-band ; segmentation ; radar mission ; long term performance monitoring ; stereo sar ; phase demodulation ; TanDEM-X ; SAR interferometry ; InSAR ; imaging geodesy ; estuarine ; radar ; support vector machine ; D-TomoSAR ; measurement pixels’ density ; lacustrine ; absolute localization accuracy ; riverine ; radargrammetry ; TerraSAR-X ; automated target recognition ; intertidal bedforms ; phase unwrapping ; DS ; wet snow ; Satellite Laser Ranging ; numerical weather prediction ; internal waves ; persistent scatterer interferometry ; antenna model verification ; multi-pass ; Wadden Sea ; PolSAR ; InSAR coherence ; PSI ; remote sensing ; earthquake ; pixel selection ; radiometric accuracy ; sustainability ; ground segment ; GIS ; small Arctic catchments ; flooded vegetation ; urban footprint ; synthetic aperture radar (SAR) ; SAR applications ; super high-spatial resolution TerraSAR-X images ; Snow Cover Extent (SCE) ; stratified atmospheric delay ; SAR ; Andaman Sea ; vegetation ; NDVI ; atmospheric phase ; operations ; tidal gullies ; palustrine ; DSM blending ; Venice lagoon ; DInSAR ; satellite ; density map ; atmospheric propagation delay ; calibration targets ; damage assessment ; interferometry ; Landsat ; landslide ; geometric and radiometric calibration ; precise orbit determination ; habitat mapping ; LEO ; antenna pointing determination ; remote sensing data ; layover ; surface wind waves ; geolocation ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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  • 24
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-01-31
    Description: Earth Observations (EO) encompasses different types of sensors (e.g., SAR, LiDAR, Optical and multispectral) and platforms (e.g., satellites, aircraft, and Unmanned Aerial Vehicles) and enables us to monitor and model geohazards over regions at different scales in which ground observations may not be possible due to physical and/or political constraints. EO can provide high spatial, temporal and spectral resolution, stereo-mapping and all-weather-imaging capabilities, but not by a single satellite at a time. Improved satellite and sensor technologies, increased frequency of satellite measurements, and easier access and interpretation of EO information have all contributed to the increased demand for satellite EO data. EO, combined with complementary terrestrial observations and with physical models, have been widely used to monitor geohazards, revolutionizing our understanding of how the Earth system works.
    Keywords: GE1-350 ; LiDAR ; InSAR ; remote sensing ; earthquake ; UAV ; landslide ; land subsidence ; earth observation ; surface displacement ; geohazards ; deformation ; optical ; damage assessment
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  • 25
    Publication Date: 2017-04-04
    Description: Volcanoes deform as a consequence of the rise and storage of magma; once magma reaches a critical pressure, an eruption occurs. However, how the edifice deformation relates to its eruptive behavior is poorly known. Here, we produce a joint interpretation of spaceborne InSAR deformation measurements and volcanic activity at Mt. Etna (Italy), between 1992 and 2006. We distinguish two volcano-tectonic behaviors. Between 1993 and 2000, Etna inflated with a starting deformation rate of 1 cm yr 1 that progressively reduced with time, nearly vanishing between 1998 and 2000; moreover, low-eruptive rate summit eruptions occurred, punctuated by lava fountains. Between 2001 and 2005, Etna deflated, feeding higher-eruptive rate flank eruptions, along with large displacements of the entire East-flank. These two behaviors, we suggest, result from the higher rate of magma stored between 1993 and June 2001, which triggered the emplacement of the dike responsible for the 2001 and 2002–2003 eruptions. Our results clearly show that the joint interpretation of volcano deformation and stored magma rates may be crucial in identifying impending volcanic eruptions.
    Description: This work was partly funded by INGV and the Italian DPC and was supported by ASI, the Preview Project and CRdC-AMRA. DPC-INGV Flank project providing the funds for the publication fees.
    Description: Published
    Description: L02309
    Description: 1.2. TTC - Sorveglianza geochimica delle aree vulcaniche attive
    Description: 1.5. TTC - Sorveglianza dell'attività eruttiva dei vulcani
    Description: 1.10. TTC - Telerilevamento
    Description: 3.6. Fisica del vulcanismo
    Description: 4.3. TTC - Scenari di pericolosità vulcanica
    Description: 4.5. Degassamento naturale
    Description: JCR Journal
    Description: partially_open
    Keywords: deformation ; eruptions ; Mt. Etna ; eruptive cycle ; InSAR ; 04. Solid Earth::04.01. Earth Interior::04.01.99. General or miscellaneous ; 04. Solid Earth::04.01. Earth Interior::04.01.02. Geological and geophysical evidences of deep processes ; 04. Solid Earth::04.03. Geodesy::04.03.99. General or miscellaneous ; 04. Solid Earth::04.03. Geodesy::04.03.06. Measurements and monitoring ; 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy ; 04. Solid Earth::04.04. Geology::04.04.99. General or miscellaneous ; 04. Solid Earth::04.04. Geology::04.04.09. Structural geology ; 04. Solid Earth::04.04. Geology::04.04.12. Fluid Geochemistry ; 04. Solid Earth::04.07. Tectonophysics::04.07.99. General or miscellaneous ; 04. Solid Earth::04.07. Tectonophysics::04.07.02. Geodynamics ; 04. Solid Earth::04.07. Tectonophysics::04.07.07. Tectonics ; 04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous ; 04. Solid Earth::04.08. Volcanology::04.08.01. Gases ; 04. Solid Earth::04.08. Volcanology::04.08.03. Magmas ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring ; 04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques ; 04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk ; 05. General::05.02. Data dissemination::05.02.03. Volcanic eruptions
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 26
    Publication Date: 2012-02-03
    Description: An edited version of this paper was published by AGU. Copyright (2010) American Geophysical Union.
    Description: Volcano deformation may occur under different conditions. To understand how a volcano deforms, as well as relations with magmatic activity, we studied Mt. Etna in detail using interferometric synthetic aperture radar (InSAR) data from 1994 to 2008. From 1994 to 2000, the volcano inflated with a linear behavior. The inflation was accompanied by eastward and westward slip on the eastern and western flanks, respectively. The portions proximal to the summit showed higher inflation rates, whereas the distal portions showed several sectors bounded by faults, in some cases behaving as rigid blocks. From 2000 to 2003, the deformation became nonlinear, especially on the proximal eastern and western flanks, showing marked eastward and westward displacements, respectively. This behavior resulted from the deformation induced by the emplacement of feeder dikes during the 2001 and 2002–2003 eruptions. From 2003 to 2008, the deformation approached linearity again, even though the overall pattern continued to be influenced by the emplacement of the dikes from 2001 to 2002. The eastward velocity on the eastern flank showed a marked asymmetry between the faster sectors to the north and those (largely inactive) to the south. In addition, from 1994 to 2008 part of the volcano base (south, west, and north lower slopes) experienced a consistent trend of uplift on the order of ∼0.5 cm/yr. This study reveals that the flanks of Etna have undergone a complex instability resulting from three main processes. In the long term (103–104 years), the load of the volcano is responsible for the development of a peripheral bulge. In the intermediate term (≤101 years, observed from 1994 to 2000), inflation due to the accumulation of magma induces a moderate and linear uplift and outward slip of the flanks. In the short term (≤1 year, observed from 2001 to 2002), the emplacement of feeder dikes along the NE and south rifts results in a nonlinear, focused, and asymmetric deformation on the eastern and western flanks. Deformation due to flank instability is widespread at Mt. Etna, regardless of volcanic activity, and remains by far the predominant type of deformation on the volcano.
    Description: ESA provided the SAR data (Cat‐1 no. 4532 and GEO Supersite initiative). The DEM was obtained from the SRTM archive, while the ERS‐1/2 orbits are courtesy of the TU‐Delft, The Netherlands. This work was partially funded by INGV and the Italian DPC (DPCINGV project V4 “Flank”), the Italian DPC (under special agreement with IREA‐CNR), and the Italian Space Agency under contract “sistema rischio vulcanico (SRV).” The authors thank Francesco Casu, Paolo Berardino, and Riccardo Lanari for their support and Geoff Wadge and Michael Poland for their helpful and constructive review of the manuscript.
    Description: Published
    Description: B10405
    Description: 1.3. TTC - Sorveglianza geodetica delle aree vulcaniche attive
    Description: 1.5. TTC - Sorveglianza dell'attività eruttiva dei vulcani
    Description: 1.10. TTC - Telerilevamento
    Description: 3.2. Tettonica attiva
    Description: 3.5. Geologia e storia dei vulcani ed evoluzione dei magmi
    Description: 3.6. Fisica del vulcanismo
    Description: 4.3. TTC - Scenari di pericolosità vulcanica
    Description: JCR Journal
    Description: reserved
    Keywords: Flank instability ; InSAR ; volcanoes ; Etna ; 04. Solid Earth::04.01. Earth Interior::04.01.99. General or miscellaneous ; 04. Solid Earth::04.01. Earth Interior::04.01.02. Geological and geophysical evidences of deep processes ; 04. Solid Earth::04.02. Exploration geophysics::04.02.99. General or miscellaneous ; 04. Solid Earth::04.03. Geodesy::04.03.99. General or miscellaneous ; 04. Solid Earth::04.03. Geodesy::04.03.06. Measurements and monitoring ; 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy ; 04. Solid Earth::04.04. Geology::04.04.99. General or miscellaneous ; 04. Solid Earth::04.04. Geology::04.04.06. Rheology, friction, and structure of fault zones ; 04. Solid Earth::04.04. Geology::04.04.09. Structural geology ; 04. Solid Earth::04.07. Tectonophysics::04.07.99. General or miscellaneous ; 04. Solid Earth::04.07. Tectonophysics::04.07.02. Geodynamics ; 04. Solid Earth::04.07. Tectonophysics::04.07.05. Stress ; 04. Solid Earth::04.07. Tectonophysics::04.07.07. Tectonics ; 04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous ; 04. Solid Earth::04.08. Volcanology::04.08.03. Magmas ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring ; 04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk ; 05. General::05.02. Data dissemination::05.02.03. Volcanic eruptions ; 05. General::05.04. Instrumentation and techniques of general interest::05.04.99. General or miscellaneous ; 05. General::05.08. Risk::05.08.99. General or miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 27
    Publication Date: 2017-04-04
    Description: Flank instability is common at volcanoes, even though the subsurface structures, including the depth to a detachment fault, remain poorly constrained. Here, we use a multidisciplinary approach, applicable to most volcanoes, to evaluate the detachment depth of the unstable NE flank of Mt. Etna. InSAR observations of Mount Etna during 1995–2008 show a trapdoor subsidence of the upper NE flank, with a maximum deformation against the NE Rift. The trapdoor tilt was highest in magnitude in 2002–2004, contemporaneous with the maximum rates of eastward slip along the east flank. We explain this deformation as due to a general eastward displacement of the flank, activating a rotational detachment and forming a rollover anticline, the head of which is against the NE Rift. Established 2D rollover construction models, constrained by morphological and structural data, suggest that the east‐dipping detachment below the upper NE flank lies at around 4 km below the surface. This depth is consistent with seismicity that clusters above 2–3 km below sea level. Therefore, the episodically unstable NE flank lies above an east‐dipping rotational detachment confined by the NE Rift and Pernicana Fault. Our approach, which combines short‐term (InSAR) and long‐term (geological) observations, constrains the 3D geometry and kinematics of part of the unstable flank of Etna and may be applicable and effective to understand the deeper structure of volcanoes undergoing flank instability or unrest.
    Description: This work was partially funded by INGV and the DPC‐INGV project “Flank”, and partially by the ASI (SRV project).
    Description: Published
    Description: L16304
    Description: 1.3. TTC - Sorveglianza geodetica delle aree vulcaniche attive
    Description: 1.5. TTC - Sorveglianza dell'attività eruttiva dei vulcani
    Description: 1.10. TTC - Telerilevamento
    Description: 3.2. Tettonica attiva
    Description: 4.3. TTC - Scenari di pericolosità vulcanica
    Description: JCR Journal
    Description: reserved
    Keywords: flank instability ; fault ; InSAR ; Etna ; rollover ; 04. Solid Earth::04.01. Earth Interior::04.01.99. General or miscellaneous ; 04. Solid Earth::04.02. Exploration geophysics::04.02.99. General or miscellaneous ; 04. Solid Earth::04.03. Geodesy::04.03.99. General or miscellaneous ; 04. Solid Earth::04.03. Geodesy::04.03.06. Measurements and monitoring ; 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy ; 04. Solid Earth::04.04. Geology::04.04.99. General or miscellaneous ; 04. Solid Earth::04.04. Geology::04.04.06. Rheology, friction, and structure of fault zones ; 04. Solid Earth::04.04. Geology::04.04.09. Structural geology ; 04. Solid Earth::04.04. Geology::04.04.11. Instruments and techniques ; 04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous ; 04. Solid Earth::04.07. Tectonophysics::04.07.99. General or miscellaneous ; 04. Solid Earth::04.07. Tectonophysics::04.07.02. Geodynamics ; 04. Solid Earth::04.07. Tectonophysics::04.07.05. Stress ; 04. Solid Earth::04.07. Tectonophysics::04.07.07. Tectonics ; 04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring ; 04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques ; 04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk ; 05. General::05.08. Risk::05.08.99. General or miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 28
    Publication Date: 2017-04-04
    Description: We study land subsidence processes and the associated ground fissuring, affecting an active graben filled by thick unconsolidated deposits by means of InSAR techniques and fieldwork. On 21 September 2012, Ciudad Guzmán (Jalisco, Mexico) was struck by ground fissures of about 1.5 km of length, causing the deformation of the roads and the propagation of fissures in adjacent buildings. The field survey showed that fissures alignment is coincident with the escarpments produced on 19 September 1985, when a strong earthquake with magnitude 8.1 struck central Mexico. In order to detect and map the spatio-temporal features of the processes that led to the 2012 ground fissures, we applied InSAR multitemporal techniques to process ENVISAT-ASAR and RADARSAT-2 satellite SAR images acquired between 2003 and 2012. We detect up to 20 mm/year of subsidence of the northwestern part of Ciudad Guzmán. These incremental movements are consistent with the ground fissures observed in 2012. Based on interferometric results, field data and 2D numerical model, we suggest that ground deformations and fissuring are due to the presence of areal subsidence correlated with variable sediment thickness and differential compaction, partly driven by the exploitation of the aquifers and controlled by the distribution and position of buried faults.
    Description: Published
    Description: 8610-8630
    Description: 6A. Monitoraggio ambientale, sicurezza e territorio
    Description: JCR Journal
    Description: open
    Keywords: InSAR ; ground subsidence ; buried faults ; ground fissuring ; 04. Solid Earth::04.01. Earth Interior::04.01.02. Geological and geophysical evidences of deep processes
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 29
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2005. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geochemistry Geophysics Geosystems 6 (2005): Q01007, doi:10.1029/2004GC000841.
    Description: Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) provides spatially dense maps of surface deformation with potentially tens of millions of data points. Here we estimate the actual covariance structure of noise in InSAR data. We compare the results for several independent interferograms with a large ensemble of GPS observations of tropospheric delay and discuss how the common approaches used during processing of InSAR data affects the inferred covariance structure. Motivated by computational concerns associated with numerical modeling of deformation sources, we then combine the data-covariance information with the inherent resolution of an assumed source model to develop an efficient algorithm for spatially variable data resampling (or averaging). We illustrate these technical developments with two earthquake scenarios at different ends of the earthquake magnitude spectrum. For the larger events, our goal is to invert for the coseismic fault slip distribution. For smaller events, we infer the hypocenter location and moment. We compare the results of inversions using several different resampling algorithms, and we assess the importance of using the full noise covariance matrix.
    Description: R. Lohman is partially supported by a NASA New Investigator Program grant award to M. Simons.
    Keywords: Correlated noise ; InSAR ; Little Skull Mountain
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: 990161 bytes
    Format: application/pdf
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