Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada
A hyperspectral approach to quantify algal biomass was studied across 30 shallow ponds in the Hudson Bay Lowlands near Churchill, MB. Normalized difference algal indices (NDAI) were calculated based on hyperspectral measurements of the reflectance collected on shore with a hand-held spectrometer in...
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Canadian Science Publishing
2019
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crcansciencepubl:10.1139/as-2018-0030 2024-06-23T07:48:16+00:00 Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada Ghunowa, Kimisha Medeiros, Andrew Scott Bello, Richard 2019 http://dx.doi.org/10.1139/as-2018-0030 https://cdnsciencepub.com/doi/full-xml/10.1139/as-2018-0030 https://cdnsciencepub.com/doi/pdf/10.1139/as-2018-0030 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Arctic Science volume 5, issue 4, page 240-256 ISSN 2368-7460 2368-7460 journal-article 2019 crcansciencepubl https://doi.org/10.1139/as-2018-0030 2024-06-13T04:10:50Z A hyperspectral approach to quantify algal biomass was studied across 30 shallow ponds in the Hudson Bay Lowlands near Churchill, MB. Normalized difference algal indices (NDAI) were calculated based on hyperspectral measurements of the reflectance collected on shore with a hand-held spectrometer in parallel to estimations of biomass with an in vivo fluorometer designed for benthic algae. Algal biomass and coarse assemblages were differentiated through their spectral reflectance as a demonstration of concept for future upscaling that would be necessary for regional monitoring using remote sensing technology. Results indicated strong agreements between the calculated NDAI for measured reflectance from each pond and that of the isolated benthic zone. Cyanobacteria were the dominant component of the algal community for most ponds. As such, measures of reflectance and use of simple NDAIs may be able to characterize the total biomass of northern ponds. However, the distinction between algal groups may require independent validation of algal assemblages for estimations beyond total biomass. Nonetheless, hyperspectral analysis could provide a strong potential for monitoring northern freshwater systems at a regional scale. Article in Journal/Newspaper Arctic Hudson Bay Canadian Science Publishing Canada Hudson Hudson Bay Arctic Science 5 4 240 256 |
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Open Polar |
collection |
Canadian Science Publishing |
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crcansciencepubl |
language |
English |
description |
A hyperspectral approach to quantify algal biomass was studied across 30 shallow ponds in the Hudson Bay Lowlands near Churchill, MB. Normalized difference algal indices (NDAI) were calculated based on hyperspectral measurements of the reflectance collected on shore with a hand-held spectrometer in parallel to estimations of biomass with an in vivo fluorometer designed for benthic algae. Algal biomass and coarse assemblages were differentiated through their spectral reflectance as a demonstration of concept for future upscaling that would be necessary for regional monitoring using remote sensing technology. Results indicated strong agreements between the calculated NDAI for measured reflectance from each pond and that of the isolated benthic zone. Cyanobacteria were the dominant component of the algal community for most ponds. As such, measures of reflectance and use of simple NDAIs may be able to characterize the total biomass of northern ponds. However, the distinction between algal groups may require independent validation of algal assemblages for estimations beyond total biomass. Nonetheless, hyperspectral analysis could provide a strong potential for monitoring northern freshwater systems at a regional scale. |
format |
Article in Journal/Newspaper |
author |
Ghunowa, Kimisha Medeiros, Andrew Scott Bello, Richard |
spellingShingle |
Ghunowa, Kimisha Medeiros, Andrew Scott Bello, Richard Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada |
author_facet |
Ghunowa, Kimisha Medeiros, Andrew Scott Bello, Richard |
author_sort |
Ghunowa, Kimisha |
title |
Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada |
title_short |
Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada |
title_full |
Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada |
title_fullStr |
Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada |
title_full_unstemmed |
Hyperspectral analysis of algal biomass in northern lakes, Churchill, MB, Canada |
title_sort |
hyperspectral analysis of algal biomass in northern lakes, churchill, mb, canada |
publisher |
Canadian Science Publishing |
publishDate |
2019 |
url |
http://dx.doi.org/10.1139/as-2018-0030 https://cdnsciencepub.com/doi/full-xml/10.1139/as-2018-0030 https://cdnsciencepub.com/doi/pdf/10.1139/as-2018-0030 |
geographic |
Canada Hudson Hudson Bay |
geographic_facet |
Canada Hudson Hudson Bay |
genre |
Arctic Hudson Bay |
genre_facet |
Arctic Hudson Bay |
op_source |
Arctic Science volume 5, issue 4, page 240-256 ISSN 2368-7460 2368-7460 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/as-2018-0030 |
container_title |
Arctic Science |
container_volume |
5 |
container_issue |
4 |
container_start_page |
240 |
op_container_end_page |
256 |
_version_ |
1802638692621221888 |