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  • MDPI - Multidisciplinary Digital Publishing Institute  (24)
  • Molecular Diversity Preservation International  (2)
  • Institute of Physics
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  • 1
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    ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 2
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    Urban Deformation Monitoring using Persistent Scatterer Interferometry and SAR tomography (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 3
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    Advances in Remote Sensing of the Inland and Coastal Water Zones (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 4
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    Mapping and Monitoring of Geohazards with Remote Sensing Technologies (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 5
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    Data Processing and Modeling on Volcanic and Seismic Areas (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 6
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    Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
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  • 7
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    Earth Observation (EO), Remote Sensing (RS), and Geoinformation (GI) Applications in Svalbard (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 8
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    Landslides in Forests around the World (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 9
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    Monitoring Land Subsidence Using Remote Sensing (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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  • 10
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    Monitoring and Modelling of Geological Disasters Based on InSAR Observations (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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