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Geographic Information Science (GIScience) and Geospatial Approaches for the Analysis of Historical Visual Sources and Cartographic Material
| Geographic Information Science (GIScience) and Geospatial Approaches for the Analysis of Historical Visual Sources and Cartographic Material |
| Autore | Zohar Motti |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (158 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
land use/land cover (LULC)
landscapes historical maps Geographic Information System (GIS) agriculture vineyards olive groves Ein Karem Bethlehem Hebron urban geomorphology anthropogenic landforms old maps contour lines Genoa historical GIS HGIS GIS tools fishnet grid urban morphology Inoh’s map coastlines terrain land use uncertainty visibility topographic accessibility Central Europe information system Vltava River geolocation photographs historical visual sources graph embeddings geospatial descriptors indexing and retrieval of historical data GIS carbon balance rural landscape total environment historical geography GIScience visual sources spatial approaches cartography |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Geographic Information Science |
| Record Nr. | UNINA-9910576882603321 |
Zohar Motti
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integrated Applications of Geo-Information in Environmental Monitoring
| Integrated Applications of Geo-Information in Environmental Monitoring |
| Autore | Wu Weicheng |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
earthquake
damaged groups of buildings classification remote sensing images Convolution Neural Network (CNN) block vector data shoreline change landsat planet scope coastline morphological changes building extraction improved anchor-free instance segmentation high-resolution remote sensing images deep learning land use/land cover (LULC) GF-6 WFV object-oriented change detection double constraints REE mines mining and restoration assessment indicators (MRAIs) damage time trajectory effectiveness of management aeolian process desertification multi-sensor fusion interferometric SAR time-series analysis mussel farming high-resolution image transitional water management environmental pollution open source software synthetic aperture radar (SAR) target sea surface multiple scattering geo-hazard mapping Gaofen-1 satellite land cover environmental factors susceptibility post-classification differencing generalized difference vegetation index (GDVI) multiple linear regression logistic regression |
| ISBN | 3-0365-5756-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782003321 |
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Wu Weicheng
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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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