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| Autore: |
Vohland Michael
|
| Titolo: |
Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
|
| Pubblicazione: | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica: | 1 online resource (218 p.) |
| Soggetto topico: | Research and information: general |
| Soggetto non controllato: | antarctica |
| atmospheric correction | |
| bio-optical algorithm | |
| biomass | |
| chlorophyll a | |
| chlorophyll-a | |
| close-range hyperspectral imaging | |
| colored dissolved organic matter | |
| convolutional neural network | |
| electromagnetic induction | |
| field hyperspectral measurement | |
| fine-scale | |
| georectification | |
| hyperspectral | |
| Hyperspectral image | |
| hyperspectral imager | |
| hyperspectral imaging | |
| ice algae | |
| in situ measurements | |
| instrument development | |
| long-distance | |
| long-range | |
| Maarmorilik | |
| machine learning | |
| mangrove species classification | |
| mineral mapping | |
| minimum wavelength mapping | |
| mosaicking | |
| multiple classifier fusion | |
| n/a | |
| photogrammetry | |
| phycocyanin | |
| push-broom | |
| radiometric correction | |
| random forest | |
| random forest regression | |
| receiver | |
| Riotinto | |
| rotation forest | |
| sea ice | |
| snapshot hyperspectral imaging | |
| soil | |
| soil salinity | |
| spectroradiometry | |
| structure from motion | |
| Structure from Motion (SfM) | |
| telescope | |
| topographic correction | |
| tree species | |
| UAV | |
| under-ice | |
| underwater | |
| unmanned aerial vehicle | |
| vertical distribution | |
| water column | |
| waveband selection | |
| Persona (resp. second.): | JungAndrás |
| VohlandMichael | |
| Sommario/riassunto: | The aim of the Special Issue "Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences" was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences-geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future. |
| Titolo autorizzato: | Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910557368003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |