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 online resource (165 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
artificial intelligence
boosted tree change detection deep learning DInSAR DPM method earth observation ensemble models GIS groundwater potential Jakarta land subsidence land subsidence susceptibility mapping machine learning Monte Carlo simulation Monterrey Metropolitan Area Mt. Umyeon landslides neural networks physical slope model probabilistic method prototype selection remote sensing river pollution seismic literacy seismic vulnerability map Sentinel-1 Seoul space data science specific capacity StaMPS processing supervised classification sustainable development synthetic aperture radar time-series time-series InSAR transfer learning urban open spaces urban vegetation WSN |
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Natural Hazards
| Remote Sensing of Natural Hazards |
| Autore | Ahmed Bayes |
| Descrizione fisica | 1 online resource (314 p.) |
| Soggetto topico |
Geography
Research and information: general |
| Soggetto non controllato |
ABI
aerial image agriculture automatic landslide detection Bangladesh BRT CART climate change climate migrants convolutional neural networks damage assessment deep learning Dhaka digital elevation model disaster impact drought earthquake ensemble models flash flood flood mapping flooding forest ecosystems geohydrological model groundwater ice jam ice storm InSAR InSAR time series K-Nearest Neighbor land subsidence and rebound land use and land cover landslide landslide deformation landslide susceptibility landslides logistic regression machine learning models modified frequency ratio MODIS monitoring and prediction Multi-Layer Perceptron naive Bayes tree natural hazards NDVI night-time light data NUAE OBIA ordinal regression PBA peri-urbanization post-disaster recovery random forest Random Forest random forests rapid mapping remote sensing reservoir water level Sentinel-1 sequential estimation snowmelt supervised classification Support Vector Machine Three Gorges Reservoir area (China) uncertainty urban growth boundary demarcation validation VIIRS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595070103321 |
Ahmed Bayes
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| Lo trovi qui: Univ. Federico II | ||
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