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Landslide Hazard and Environment Risk Assessment
| Landslide Hazard and Environment Risk Assessment |
| Autore | Miccadei Enrico |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (318 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Kenya
landslide susceptibility fuzzy analytic hierarchy process triangular fuzzy numbers GIS interaction matrix heuristic susceptibility inventory Greece historical landslides multitemporal analysis geomorphological mapping GIS analysis piedmont area Abruzzo Region landslide hydromechanical modeling early-warning slope stability rainfall-induced landslides local factor of safety SoilNet geophysical characterization water content distribution bedrock topography large-scale landslides DSGSDs normal faults and overthrusts Sibillini Mts Central Apennines Italy risk soil sealing landslides factor of safety numerical models Hoek-Brown method monoclinal setting hybrid modeling Geographical Detector information value machine learning Kerala hazard hydroseeding slope vegetation AHP snow avalanche mass movements-prone areas hazard assessment climate extremization environmental risk Gran Sasso Massif morphotectonic morphostratigraphy DGSDs river capture fluvial terraces Sardinia |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566460903321 |
Miccadei Enrico
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
| Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing |
| Autore | Lee Saro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto non controllato |
artificial neural network
model switching sensitivity analysis neural networks logit boost Qaidam Basin land subsidence land use/land cover (LULC) naïve Bayes multilayer perceptron convolutional neural networks single-class data descriptors logistic regression feature selection mapping particulate matter 10 (PM10) Bayes net gray-level co-occurrence matrix multi-scale Logistic Model Trees classification Panax notoginseng large scene coarse particle grayscale aerial image Gaofen-2 environmental variables variable selection spatial predictive models weights of evidence landslide prediction random forest boosted regression tree convolutional network Vietnam model validation colorization data mining techniques spatial predictions SCAI unmanned aerial vehicle high-resolution texture spatial sparse recovery landslide susceptibility map machine learning reproducible research constrained spatial smoothing support vector machine random forest regression model assessment information gain ALS point cloud bagging ensemble one-class classifiers leaf area index (LAI) landslide susceptibility landsat image ionospheric delay constraints spatial spline regression remote sensing image segmentation panchromatic Sentinel-2 remote sensing optical remote sensing materia medica resource GIS precise weighting change detection TRMM traffic CO crop training sample size convergence time object detection gully erosion deep learning classification-based learning transfer learning landslide traffic CO prediction hybrid model winter wheat spatial distribution logistic alternating direction method of multipliers hybrid structure convolutional neural networks geoherb predictive accuracy real-time precise point positioning spectral bands |
| ISBN | 3-03921-216-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367564103321 |
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Lee Saro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Novel Approaches in Landslide Monitoring and Data Analysis
| Novel Approaches in Landslide Monitoring and Data Analysis |
| Autore | Blahut Jan |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (282 p.) |
| Soggetto topico |
Research & information: general
Earth sciences, geography, environment, planning |
| Soggetto non controllato |
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 |
| ISBN | 3-0365-3788-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619468903321 |
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Blahut Jan
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning
| Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning |
| Autore | Segoni Samuele |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
loess landslide
DAN-W numerical simulation dynamic analysis rainfall thresholds Bhutan shallow landslides landslides Idukki early warning system landslide hazard antecedent rainfall threshold landslide susceptibility satellite-derived rainfall TRMM Multisatellite Precipitation Analysis 3B42 (TMPA) tropical Africa rainfall thresholds physicallybased model hydrological monitoring soil water index large-scale landslide SWI-D threshold shallow landslide temporal probability landslide and debris flow China quantile regression Wayanad early warning GIS rainfall intensity optimization rainfall thresholds calculation mean annual rainfall lithology Slovenia |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557355903321 |
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Segoni Samuele
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Natural Hazards
| Remote Sensing of Natural Hazards |
| Autore | Ahmed Bayes |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
sequential estimation
InSAR time series groundwater land subsidence and rebound earthquake rapid mapping damage assessment deep learning convolutional neural networks ordinal regression aerial image landslide machine learning models remote sensing ensemble models validation ice storm forest ecosystems disaster impact post-disaster recovery ice jam snowmelt flood mapping monitoring and prediction VIIRS ABI NUAE flash flood BRT CART naive Bayes tree geohydrological model landslide susceptibility Bangladesh digital elevation model random forest modified frequency ratio logistic regression automatic landslide detection OBIA PBA random forests supervised classification landslides uncertainty K-Nearest Neighbor Multi-Layer Perceptron Random Forest Support Vector Machine agriculture drought NDVI MODIS landslide deformation InSAR reservoir water level Sentinel-1 Three Gorges Reservoir area (China) peri-urbanization urban growth boundary demarcation climate change climate migrants natural hazards flooding land use and land cover night-time light data Dhaka |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595070103321 |
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Ahmed Bayes
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Monitoring and Control in the Future Internet of Things
| Smart Monitoring and Control in the Future Internet of Things |
| Autore | Guerrieri Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
atmospheric
on-line monitoring LoRa embedded system smart environments Internet of Things indoor occupancy machine learning data analysis landslide susceptibility China-Nepal Highway LSTM remote sensing images IoT network traffic monitoring DDoS packet classification indoor localization channel state information device-free passive WiFi fingerprint naive Bayes classification feature fusion posture recognition indoor positioning wireless body area network Kalman filtering multi-sensor combination prognostic and health management integrative framework internet of things convolutional neural network conditioned-based maintenance IoT platform intelligent monitoring robot active CCTV learning model electrical devices classification energy management smart environment architecture blockchain communication constraints decentralized application Ethereum Internet of things sensing and control computational efficiency robotic manipulators hysteresis adaptive control wireless sensor network (WSN) energy ant colony optimization (ACO) routing algorithm quantum-inspired evolutionary algorithms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557510403321 |
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Guerrieri Antonio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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