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Land Use and Water Quality
| Land Use and Water Quality |
| Autore | Kronvang Brian |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (248 p.) |
| Soggetto topico |
Environmental economics
Research and information: general |
| Soggetto non controllato |
agricultural impact
agriculture catchment management climate change concentration-discharge relationship deficit analysis diffuse pollution DPLSIR framework drinking water DST eutrophication export behaviour extreme weather events farm advisors farm management fertilization groundwater hysteresis inland surface waters lag times land management land use land use pattern LAWA leachate rate link indicator machine learning management mitigation measures model modelling monitoring and mapping technologies N sources N transport processes nitrate nitrates nitrogen balance nitrogen budget nitrogen concentration nitrogen losses nitrogen sources nutrients PCA phosphorus Qiandao Lake Basin recurrent neural network redundancy analysis scale effect Schleswig-Holstein software source apportionment spatiotemporal patterns of pollution stream stream water pollution surplus urbanization Water Framework Directive water pollution water quality |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557534403321 |
Kronvang Brian
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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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