TY  - GEN
AU  - Vohland,Michael
AU  - Jung,András
AU  - Vohland,Michael
AU  - Jung,András
TI  - Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
SN  - books978-3-0365-0879-5
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - hyperspectral
KW  - topographic correction
KW  - atmospheric correction
KW  - radiometric correction
KW  - long-range
KW  - long-distance
KW  - Structure from Motion (SfM)
KW  - photogrammetry
KW  - mineral mapping
KW  - minimum wavelength mapping
KW  - Maarmorilik
KW  - Riotinto
KW  - Hyperspectral image
KW  - bio-optical algorithm
KW  - phycocyanin
KW  - chlorophyll-a
KW  - mangrove species classification
KW  - close-range hyperspectral imaging
KW  - field hyperspectral measurement
KW  - waveband selection
KW  - machine learning
KW  - instrument development
KW  - spectroradiometry
KW  - telescope
KW  - receiver
KW  - soil
KW  - soil salinity
KW  - unmanned aerial vehicle
KW  - hyperspectral imager
KW  - random forest regression
KW  - electromagnetic induction
KW  - hyperspectral imaging
KW  - tree species
KW  - multiple classifier fusion
KW  - convolutional neural network
KW  - random forest
KW  - rotation forest
KW  - sea ice
KW  - ice algae
KW  - biomass
KW  - fine-scale
KW  - under-ice
KW  - underwater
KW  - antarctica
KW  - structure from motion
KW  - georectification
KW  - mosaicking
KW  - push-broom
KW  - UAV
KW  - chlorophyll a
KW  - colored dissolved organic matter
KW  - in situ measurements
KW  - vertical distribution
KW  - water column
KW  - snapshot hyperspectral imaging
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/3720
UR  - https://directory.doabooks.org/handle/20.500.12854/76303
ER  -