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 online resource (282 p.) |
| Soggetto topico |
Earth Sciences, Geography, Environment, Planning
Research and information: general |
| Soggetto non controllato |
airborne electromagnetics
artificial neural networks Bayesian updating Canary Islands capillary barrier coastal cliffs coastal landslides Conero promontory construction control factors cross validation cross-sectional area of equal displacement body data analysis data mining digital elevation model DInSAR disaster mitigation disaster prevention monitoring El Hierro GBSAR geographically weighted regression global positioning system Global Positioning System (GPS) ground-based interferometric synthetic aperture radar historical landslide events Iceland in-hole wire extensometer InSAR La Martinique land surface analysis landslide landslide detection landslide inventory landslide monitoring landslide susceptibility landslide susceptibility assessment landslide warning method landslide-dammed lake landslides large-scale landslide model experiment LRM Markov chain Monte Carlo mass rock creep modelling monitoring multi-layer slope multitemporal DEM object-based image analysis photogrammetry physical-based modeling prediction model prediction pattern ranking river rockfill San Andrés Landslide Sentinel-1 Sentinel-2 slope failure slope unit slow-moving landslide soil-water characteristic curve spatial non-stationary spatial proximity susceptibility susceptibility assessment target pattern time-series analysis tropical volcanic environment Typhoon Morakot uncertainty pattern unsaturated soil |
| ISBN | 3-0365-3788-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619468903321 |
Blahut Jan
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
| Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio |
| Autore | Marcello Javier |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
very high-resolution Pléiades imagery
surface convergence data augmentation acquisition geometry SVM classification urban water mapping beaver dam analogue agriculture parcel segmentation morphological building index airborne hypespectral imagery sunglint correction water index over-segmentation index (OSI) High-resolution satellite imagery multi-resolution segmentation (MRS) GaoFen-2 (GF-2) benthic mapping scene classification greenhouse extraction edge constraint Deformable CNN built-up areas extraction ultra-dense connection seagrass beaver mimicry forested mountain natural hazards remote sensing dimensionality reduction techniques road extraction landslide monitoring Slumgullion landslide synthetic aperture radar building detection Worldview-2 saliency index under-segmentation index (USI) texture analysis fast marching method video satellite CNN capsule super-resolution feature distillation shadow detection PrimaryCaps semiautomatic compensation unit superpixels riparian QuickBird submesoscale linear unmixing accuracy assessment composite error index (CEI) cyanobacteria local feature points Faster R-CNN occluded object detection error index of total area (ETA) large displacements threshold stability remote sensing imagery water column correction canopy height model spiral eddy sub-pixel offset tracking consensus stream restoration western Baltic Sea Worldview very high-resolution image CapsNet atmospheric correction |
| ISBN |
9783039217571
3039217577 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367747503321 |
Marcello Javier
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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