Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

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 d...

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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (218 p.)
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spelling Vohland, Michael edt
Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (218 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
Research & information: general bicssc
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
3-0365-0878-3
3-0365-0879-1
Jung, András edt
Vohland, Michael oth
Jung, András oth
language English
format eBook
author2 Jung, András
Vohland, Michael
Jung, András
author_facet Jung, András
Vohland, Michael
Jung, András
author2_variant m v mv
a j aj
author2_role HerausgeberIn
Sonstige
Sonstige
title Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
spellingShingle Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
title_full Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
title_fullStr Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
title_full_unstemmed Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
title_auth Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
title_new Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
title_sort hyperspectral imaging for fine to medium scale applications in environmental sciences
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (218 p.)
isbn 3-0365-0878-3
3-0365-0879-1
illustrated Not Illustrated
work_keys_str_mv AT vohlandmichael hyperspectralimagingforfinetomediumscaleapplicationsinenvironmentalsciences
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