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Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
| Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS |
| Autore | Lee Chang-Wook |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (165 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
groundwater potential
specific capacity machine learning boosted tree ensemble models prototype selection river pollution supervised classification WSN probabilistic method Monte Carlo simulation physical slope model Mt. Umyeon landslides Seoul synthetic aperture radar land subsidence GIS time-series Jakarta land subsidence susceptibility mapping time-series InSAR StaMPS processing seismic vulnerability map DPM method Sentinel-1 seismic literacy neural networks urban vegetation urban open spaces Monterrey Metropolitan Area sustainable development deep learning transfer learning artificial intelligence remote sensing earth observation DInSAR change detection space data science |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557605403321 |
Lee Chang-Wook
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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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Land Surface Monitoring Based on Satellite Imagery
| Land Surface Monitoring Based on Satellite Imagery |
| Autore | Venafra Sara |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (232 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
Sentinel-2
spectral bands LAI vegetation indices Sentinel-1 SAR RVI incidence angle crop coefficient leaf area index urban heat island UHI regional impacts non-urban areas remote sensing thermal band UHI intensity remote sensing/GIS spatial dynamics landscape metrics urban–rural gradient urbanization automatic monitoring time series change detection urban planning hyperspectral cacti drone climate change drought water deficit index infrared observations satellite surface temperature air temperature humidity dew point temperature land subsidence DInSAR differential interferograms stacking floods coastal plain of Tabasco crop residue fusion machine learning algorithm reflective and radar bands land-cover change REDD+ Google Earth Engine random forest landsat Togo emissivity evapotranspiration heterogeneity Rao’s Q index spectral variation hypothesis thermal infrared |
| ISBN | 3-0365-5930-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639991903321 |
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Venafra Sara
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Monitoring Land Subsidence Using Remote Sensing
| Monitoring Land Subsidence Using Remote Sensing |
| Autore | Fabris Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (193 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557346603321 |
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Fabris Massimo
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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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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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Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms
| Radar Imaging in Challenging Scenarios from Smart and Flexible Platforms |
| Autore | Amin Moeness |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
high-resolution
highly-squinted maneuvers fifth-order motion parameter model spatial variation frequency-domain processing extended back-projection algorithm topography variations computational burden high resolution lunar penetrating radar lunar exploration compressive sensing lunar regolith modeling signal processing Synthetic Aperture Radar (SAR) Airborne SAR Sounder P-Band helicopter-borne radar UHF and VHF bands MIMO radar through-wall imaging ultrawideband signal SFCW sparse array back projection algorithm Vivaldi antenna SAR Interferometry Digital Elevation Model (DEM) Frequency-Modulated Continuous-Wave (FMCW) differential interferometry DInSAR precision agriculture drone-borne radar crop growth deficit map radar imaging unmanned aerial vehicle inverse scattering linear scattering models global positioning systems range-Doppler processor corner reflector forward-looking GPR surface clutter near-field antenna arrays microwave imaging coherence factor |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674022003321 |
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Amin Moeness
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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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