Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing

Surface-canopy forming kelps (Macrocystis pyrifera and Nereocystis luetkeana) can be monitored along the Northeast Pacific coast using remote sensing. These kelp canopies can be submerged by tides and currents, making it difficult to accurately determine their extent with remote sensing techniques....

Full description

Bibliographic Details
Main Authors: Brian Timmer, Luba Y. Reshitnyk, Margot Hessing-Lewis, Francis Juanes, Lianna Gendall, Maycira Costa
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2024.1338483/full
_version_ 1797271440982016000
author Brian Timmer
Luba Y. Reshitnyk
Margot Hessing-Lewis
Francis Juanes
Lianna Gendall
Maycira Costa
author_facet Brian Timmer
Luba Y. Reshitnyk
Margot Hessing-Lewis
Francis Juanes
Lianna Gendall
Maycira Costa
author_sort Brian Timmer
collection DOAJ
description Surface-canopy forming kelps (Macrocystis pyrifera and Nereocystis luetkeana) can be monitored along the Northeast Pacific coast using remote sensing. These kelp canopies can be submerged by tides and currents, making it difficult to accurately determine their extent with remote sensing techniques. Further, both species have morphologically distinct canopies, each made up of structures with differing buoyancies, and it is not well understood whether the differing buoyancies between these species’ canopies affects their detectability with remote sensing technologies. Here, we collected in situ above-water spectral signatures for the surface-canopies of Nereocystis and Macrocystis, providing the first direct hyperspectral comparison between the structures that make up the canopies of these species. Additionally, we compare the strength of their red-edge and near-infrared band signals, as well as the normalized difference red-edge (NDRE) and normalized difference vegetation index (NDVI) values. At the bed level, we compare detection of kelp canopy extent using both NDRE and NDVI classified unoccupied aerial vehicle imagery. We also characterized how changing tides and currents submerge the canopies of both species, providing insights that will allow remote sensors to more accurately determine the extent of kelp canopy in remote sensing imagery. Observations of canopy structures paired with in situ hyperspectral data and simulated multispectral data showed that more buoyant kelp structures had higher reflectance in the near-infrared wavelengths, but even slightly submerged canopy structures had a higher reflectance in the red-edge rather than the near-infrared. The higher red-edge signal was also evident at the bed level in the UAV imagery, resulting in 18.0% more canopy classified with NDRE than with NDVI. The area of detected canopy extent decreased by an average of 22.5% per meter of tidal increase at low current speeds (<10 cm/s), regardless of the species present. However, at higher current speeds (up to 19 cm/s), Nereocystis canopy decreased at nearly twice the average rate of kelp beds in low-current conditions. Apart from the strong differences in high-current regions, a robust linear relationship exists between kelp canopy extent and tidal height, which can aid in understanding the errors associated with remote sensing imagery collected at different tidal heights.
first_indexed 2024-03-07T14:02:45Z
format Article
id doaj.art-27fe1635141c4f548fbf447a4d75b24c
institution Directory Open Access Journal
issn 2296-665X
language English
last_indexed 2024-03-07T14:02:45Z
publishDate 2024-03-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Environmental Science
spelling doaj.art-27fe1635141c4f548fbf447a4d75b24c2024-03-07T04:17:36ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2024-03-011210.3389/fenvs.2024.13384831338483Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensingBrian Timmer0Luba Y. Reshitnyk1Margot Hessing-Lewis2Francis Juanes3Lianna Gendall4Maycira Costa5Spectral Lab, Department of Geography, University of Victoria, Victoria, BC, CanadaHakai Institute, Heriot Bay, BC, CanadaHakai Institute, Heriot Bay, BC, CanadaDepartment of Biology, University of Victoria, Victoria, BC, CanadaSpectral Lab, Department of Geography, University of Victoria, Victoria, BC, CanadaSpectral Lab, Department of Geography, University of Victoria, Victoria, BC, CanadaSurface-canopy forming kelps (Macrocystis pyrifera and Nereocystis luetkeana) can be monitored along the Northeast Pacific coast using remote sensing. These kelp canopies can be submerged by tides and currents, making it difficult to accurately determine their extent with remote sensing techniques. Further, both species have morphologically distinct canopies, each made up of structures with differing buoyancies, and it is not well understood whether the differing buoyancies between these species’ canopies affects their detectability with remote sensing technologies. Here, we collected in situ above-water spectral signatures for the surface-canopies of Nereocystis and Macrocystis, providing the first direct hyperspectral comparison between the structures that make up the canopies of these species. Additionally, we compare the strength of their red-edge and near-infrared band signals, as well as the normalized difference red-edge (NDRE) and normalized difference vegetation index (NDVI) values. At the bed level, we compare detection of kelp canopy extent using both NDRE and NDVI classified unoccupied aerial vehicle imagery. We also characterized how changing tides and currents submerge the canopies of both species, providing insights that will allow remote sensors to more accurately determine the extent of kelp canopy in remote sensing imagery. Observations of canopy structures paired with in situ hyperspectral data and simulated multispectral data showed that more buoyant kelp structures had higher reflectance in the near-infrared wavelengths, but even slightly submerged canopy structures had a higher reflectance in the red-edge rather than the near-infrared. The higher red-edge signal was also evident at the bed level in the UAV imagery, resulting in 18.0% more canopy classified with NDRE than with NDVI. The area of detected canopy extent decreased by an average of 22.5% per meter of tidal increase at low current speeds (<10 cm/s), regardless of the species present. However, at higher current speeds (up to 19 cm/s), Nereocystis canopy decreased at nearly twice the average rate of kelp beds in low-current conditions. Apart from the strong differences in high-current regions, a robust linear relationship exists between kelp canopy extent and tidal height, which can aid in understanding the errors associated with remote sensing imagery collected at different tidal heights.https://www.frontiersin.org/articles/10.3389/fenvs.2024.1338483/fullremote sensingkelptidescurrentsmultispectralhyperspectral
spellingShingle Brian Timmer
Luba Y. Reshitnyk
Margot Hessing-Lewis
Francis Juanes
Lianna Gendall
Maycira Costa
Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing
Frontiers in Environmental Science
remote sensing
kelp
tides
currents
multispectral
hyperspectral
title Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing
title_full Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing
title_fullStr Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing
title_full_unstemmed Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing
title_short Capturing accurate kelp canopy extent: integrating tides, currents, and species-level morphology in kelp remote sensing
title_sort capturing accurate kelp canopy extent integrating tides currents and species level morphology in kelp remote sensing
topic remote sensing
kelp
tides
currents
multispectral
hyperspectral
url https://www.frontiersin.org/articles/10.3389/fenvs.2024.1338483/full
work_keys_str_mv AT briantimmer capturingaccuratekelpcanopyextentintegratingtidescurrentsandspecieslevelmorphologyinkelpremotesensing
AT lubayreshitnyk capturingaccuratekelpcanopyextentintegratingtidescurrentsandspecieslevelmorphologyinkelpremotesensing
AT margothessinglewis capturingaccuratekelpcanopyextentintegratingtidescurrentsandspecieslevelmorphologyinkelpremotesensing
AT francisjuanes capturingaccuratekelpcanopyextentintegratingtidescurrentsandspecieslevelmorphologyinkelpremotesensing
AT liannagendall capturingaccuratekelpcanopyextentintegratingtidescurrentsandspecieslevelmorphologyinkelpremotesensing
AT mayciracosta capturingaccuratekelpcanopyextentintegratingtidescurrentsandspecieslevelmorphologyinkelpremotesensing