Airborne Hyperspectral Data Acquisition and Processing in the Arctic: A Pilot Study Using the Hyspex Imaging Spectrometer for Wetland Mapping

dc.contributor.author
Cristóbal, Jordi
dc.contributor.author
Graham, Patrick
dc.contributor.author
Prakash, Anupma
dc.contributor.author
Buchhorm, Marcel
dc.contributor.author
Gens, Rudi
dc.contributor.author
Guldager, Nikki
dc.contributor.author
Bertram, Mark
dc.contributor.other
Producció Vegetal
dc.date.accessioned
2025-10-22T11:29:53Z
dc.date.available
2025-10-22T11:29:53Z
dc.date.issued
2021-03-19
dc.identifier.citation
Cristóbal, Jordi, Patrick Graham, Anupma Prakash, Marcel Buchhorn, Rudi Gens, Nikki Guldager, and Mark Bertram. 2021. "Airborne Hyperspectral Data Acquisition And Processing In The Arctic: A Pilot Study Using The Hyspex Imaging Spectrometer For Wetland Mapping". Remote Sensing 13 (6): 1178. doi:10.3390/rs13061178.
dc.identifier.issn
2072-4292
dc.identifier.uri
https://hdl.handle.net/20.500.12327/1521
dc.description.abstract
A pilot study for mapping the Arctic wetlands was conducted in the Yukon Flats National Wildlife Refuge (Refuge), Alaska. It included commissioning the HySpex VNIR-1800 and the HySpex SWIR-384 imaging spectrometers in a single-engine Found Bush Hawk aircraft, planning the flight times, direction, and speed to minimize the strong bidirectional reflectance distribution function (BRDF) effects present at high latitudes and establishing improved data processing workflows for the high-latitude environments. Hyperspectral images were acquired on two clear-sky days in early September, 2018, over three pilot study areas that together represented a wide variety of vegetation and wetland environments. Steps to further minimize BRDF effects and achieve a higher geometric accuracy were added to adapt and improve the Hyspex data processing workflow, developed by the German Aerospace Center (DLR), for high-latitude environments. One-meter spatial resolution hyperspectral images, that included a subset of only 120 selected spectral bands, were used for wetland mapping. A six-category legend was established based on previous U.S. Geological Survey (USGS) and U.S. Fish and Wildlife Service (USFWS) information and maps, and three different classification methods—hybrid classification, spectral angle mapper, and maximum likelihood—were used at two selected sites. The best classification performance occurred when using the maximum likelihood classifier with an averaged Kappa index of 0.95; followed by the spectral angle mapper (SAM) classifier with a Kappa index of 0.62; and, lastly, by the hybrid classifier showing lower performance with a Kappa index of 0.51. Recommendations for improvements of future work include the concurrent acquisition of LiDAR or RGB photo-derived digital surface models as well as detailed spectra collection for Alaska wetland cover to improve classification efforts.
dc.format.extent
26
dc.language.iso
eng
dc.publisher
MDPI
dc.relation.ispartof
Remote Sensing
dc.rights
Attribution 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Airborne Hyperspectral Data Acquisition and Processing in the Arctic: A Pilot Study Using the Hyspex Imaging Spectrometer for Wetland Mapping
dc.type
info:eu-repo/semantics/article
dc.subject.udc
62
dc.description.version
info:eu-repo/semantics/publishedVersion
dc.embargo.terms
cap
dc.identifier.doi
https://doi.org/10.3390/rs13061178
dc.rights.accessLevel
info:eu-repo/semantics/openAccess
dc.contributor.group
Ús Eficient de l'Aigua en Agricultura


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