Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

• Ētahi atu kaituhi: Vohland, Michael (Editor), Jung, András (Editor)
• Hōputu: Tāhiko Wāhanga pukapuka
• Reo: Ingarihi
• I whakaputaina: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Ngā marau: Research & information: general; hyperspectral; topographic correction; atmospheric correction; radiometric correction; long-range; long-distance; Structure from Motion (SfM); photogrammetry; mineral mapping; minimum wavelength mapping; Maarmorilik; Riotinto; Hyperspectral image; bio-optical algorithm; phycocyanin; chlorophyll-a; mangrove species classification; close-range hyperspectral imaging; field hyperspectral measurement; waveband selection; machine learning; instrument development; spectroradiometry; telescope; receiver; soil; soil salinity; unmanned aerial vehicle; hyperspectral imager; random forest regression; electromagnetic induction; hyperspectral imaging; tree species; multiple classifier fusion; convolutional neural network; random forest; rotation forest; sea ice; ice algae; biomass; fine-scale; under-ice; underwater; antarctica; structure from motion; georectification; mosaicking; push-broom; UAV; chlorophyll a; colored dissolved organic matter; in situ measurements; vertical distribution; water column; snapshot hyperspectral imaging; n/a
• Urunga tuihono: DOAB: download the publication; DOAB: description of the publication

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 la...