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Applications of Remote Sensing in Coastal Areas
| Applications of Remote Sensing in Coastal Areas |
| Autore | Topouzelis Konstantinos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (288 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
ASAR
barrier island beach topography Bohai sea ice cliff coastlines coastal monitoring coastal ocean Coastal process coastal remote sensing coastline contour extraction CubeSats data cube drone dune vegetation classification dunes Euclidean distance ground settlement habitat mapping Hainan Island harmonization heat advection hydrography hypertemporal intensity integral error land cover Landsat LiDAR MABEL marine reclamation land morphological change multi-sensor multi-temporal NDVI multispectral satellite images mutual information n/a new feature non-parametric Bayesian network object-based classification object-based image analysis (OBIA) oceanic thermal response OLCI imagery photogrammetry Photon-counting lidar pixel-based classification pixels based supervised classification PlanetScope Pleiades polarimetric decomposition polarimetric SAR Random Forest remote sensing RTK-GPS satellite remote sensing satellite-derived bathymetry sea ice extent sea ice information index semi-global subpixel localization Sentinel-1 ship detection shoreline mapping signal photons southern Baltic Sea sub-pixel surface water mapping terrestrial laser scanner thresholding time series InSAR time-series analysis UAS data acquisition unmanned aerial system unmanned aerial vehicle (UAV) unmanned aircraft system (UAS) vegetation mapping water extraction water indices waterline extraction wind wake Xiamen New Airport zones of confidence |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557555803321 |
Topouzelis Konstantinos
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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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Mapping Tree Species Diversity
| Mapping Tree Species Diversity |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (414 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
accuracy
aerial imagery ALS AVIRIS-NG biodiversity biosecurity boreal forest BPWW classification climatic gradient CNN convex hull volume convolutional networks convolutional neural network cross-validation curve matching data fusion dead wood deep learning endangered tree species feature extraction forest forest cover and species forest inventory forest pathology forest species forest stands classification forest structure analysis forestry GEE high-resolution remote sensing imagery hyperspectral multitemporal information illumination correction imbalanced data individual tree crown delineation individual tree species recognition ISRO-NASA campaign Landsat LiDAR machine learning machine learning algorithm mapping Mount Taishan multi-layer perception multi-temporal multisource remote sensing data multitemporal myrtle rust object-based optical data phenological metrics pixel-based classification probability random forest radiative transfer model random forest RGB SAR savanna scale effect segmentation selective logging semideciduous forest Sentinel-1 Sentinel-2 Serbia Siberia single trees spatial autocorrelation spatial divergence species distribution model species diversity spectral diversity time series tree species tree species classification tree species mapping trees species identification tropical forests UAV up-scaling urban forestry Wienerwald biosphere reserve woody vegetation WorldView-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911053076503321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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