Show simple item record

dc.contributor.editorVohland, Michael
dc.contributor.editorJung, András
dc.date.accessioned2022-01-11T13:28:06Z
dc.date.available2022-01-11T13:28:06Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036508788_39
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76303
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.otherhyperspectral
dc.subject.othertopographic correction
dc.subject.otheratmospheric correction
dc.subject.otherradiometric correction
dc.subject.otherlong-range
dc.subject.otherlong-distance
dc.subject.otherStructure from Motion (SfM)
dc.subject.otherphotogrammetry
dc.subject.othermineral mapping
dc.subject.otherminimum wavelength mapping
dc.subject.otherMaarmorilik
dc.subject.otherRiotinto
dc.subject.otherHyperspectral image
dc.subject.otherbio-optical algorithm
dc.subject.otherphycocyanin
dc.subject.otherchlorophyll-a
dc.subject.othermangrove species classification
dc.subject.otherclose-range hyperspectral imaging
dc.subject.otherfield hyperspectral measurement
dc.subject.otherwaveband selection
dc.subject.othermachine learning
dc.subject.otherinstrument development
dc.subject.otherspectroradiometry
dc.subject.othertelescope
dc.subject.otherreceiver
dc.subject.othersoil
dc.subject.othersoil salinity
dc.subject.otherunmanned aerial vehicle
dc.subject.otherhyperspectral imager
dc.subject.otherrandom forest regression
dc.subject.otherelectromagnetic induction
dc.subject.otherhyperspectral imaging
dc.subject.othertree species
dc.subject.othermultiple classifier fusion
dc.subject.otherconvolutional neural network
dc.subject.otherrandom forest
dc.subject.otherrotation forest
dc.subject.othersea ice
dc.subject.otherice algae
dc.subject.otherbiomass
dc.subject.otherfine-scale
dc.subject.otherunder-ice
dc.subject.otherunderwater
dc.subject.otherantarctica
dc.subject.otherstructure from motion
dc.subject.othergeorectification
dc.subject.othermosaicking
dc.subject.otherpush-broom
dc.subject.otherUAV
dc.subject.otherchlorophyll a
dc.subject.othercolored dissolved organic matter
dc.subject.otherin situ measurements
dc.subject.othervertical distribution
dc.subject.otherwater column
dc.subject.othersnapshot hyperspectral imaging
dc.subject.othern/a
dc.titleHyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-0879-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036508788
oapen.relation.isbn9783036508795
oapen.pages218
oapen.place.publicationBasel, Switzerland


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/