Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ...

Snow algae are an important group of terrestrial photosynthetic organisms in Antarctica, where they mostly grow in low lying coastal snow fields. Reliable observations of Antarctic snow algae are difficult owing to the transient nature of their blooms and the logistics involved to travel and work th...

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Main Authors: Gray, Andrew, Krolikowski, Monika, Fretwell, Peter, Convey, Peter, Peck, Lloyd S, Mendelova, Monika, Smith, Alison G, Davey, Matthew P
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media SA 2021
Subjects:
Online Access:https://dx.doi.org/10.17863/cam.68733
https://www.repository.cam.ac.uk/handle/1810/321615
id ftdatacite:10.17863/cam.68733
record_format openpolar
spelling ftdatacite:10.17863/cam.68733 2024-02-27T08:35:04+00:00 Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ... Gray, Andrew Krolikowski, Monika Fretwell, Peter Convey, Peter Peck, Lloyd S Mendelova, Monika Smith, Alison G Davey, Matthew P 2021 https://dx.doi.org/10.17863/cam.68733 https://www.repository.cam.ac.uk/handle/1810/321615 en eng Frontiers Media SA open.access All rights reserved http://purl.org/coar/access_right/c_abf2 Antarctica WorldView ecology remote sensing satellites snow snow algae article-journal ScholarlyArticle JournalArticle Article 2021 ftdatacite https://doi.org/10.17863/cam.68733 2024-02-01T14:55:38Z Snow algae are an important group of terrestrial photosynthetic organisms in Antarctica, where they mostly grow in low lying coastal snow fields. Reliable observations of Antarctic snow algae are difficult owing to the transient nature of their blooms and the logistics involved to travel and work there. Previous studies have used Sentinel 2 satellite imagery to detect and monitor snow algal blooms remotely, but were limited by the coarse spatial resolution and difficulties detecting red blooms. Here, for the first time, we use high-resolution WorldView multispectral satellite imagery to study Antarctic snow algal blooms in detail, tracking the growth of red and green blooms throughout the summer. Our remote sensing approach was developed alongside two Antarctic field seasons, where field spectroscopy was used to build a detection model capable of estimating cell density. Global Positioning System (GPS) tagging of blooms and in situ life cycle analysis was used to validate and verify our model output. ... Article in Journal/Newspaper Antarc* Antarctic Antarctica DataCite Metadata Store (German National Library of Science and Technology) Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Antarctica
WorldView
ecology
remote sensing
satellites
snow
snow algae
spellingShingle Antarctica
WorldView
ecology
remote sensing
satellites
snow
snow algae
Gray, Andrew
Krolikowski, Monika
Fretwell, Peter
Convey, Peter
Peck, Lloyd S
Mendelova, Monika
Smith, Alison G
Davey, Matthew P
Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ...
topic_facet Antarctica
WorldView
ecology
remote sensing
satellites
snow
snow algae
description Snow algae are an important group of terrestrial photosynthetic organisms in Antarctica, where they mostly grow in low lying coastal snow fields. Reliable observations of Antarctic snow algae are difficult owing to the transient nature of their blooms and the logistics involved to travel and work there. Previous studies have used Sentinel 2 satellite imagery to detect and monitor snow algal blooms remotely, but were limited by the coarse spatial resolution and difficulties detecting red blooms. Here, for the first time, we use high-resolution WorldView multispectral satellite imagery to study Antarctic snow algal blooms in detail, tracking the growth of red and green blooms throughout the summer. Our remote sensing approach was developed alongside two Antarctic field seasons, where field spectroscopy was used to build a detection model capable of estimating cell density. Global Positioning System (GPS) tagging of blooms and in situ life cycle analysis was used to validate and verify our model output. ...
format Article in Journal/Newspaper
author Gray, Andrew
Krolikowski, Monika
Fretwell, Peter
Convey, Peter
Peck, Lloyd S
Mendelova, Monika
Smith, Alison G
Davey, Matthew P
author_facet Gray, Andrew
Krolikowski, Monika
Fretwell, Peter
Convey, Peter
Peck, Lloyd S
Mendelova, Monika
Smith, Alison G
Davey, Matthew P
author_sort Gray, Andrew
title Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ...
title_short Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ...
title_full Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ...
title_fullStr Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ...
title_full_unstemmed Remote Sensing Phenology of Antarctic Green and Red Snow Algae Using WorldView Satellites. ...
title_sort remote sensing phenology of antarctic green and red snow algae using worldview satellites. ...
publisher Frontiers Media SA
publishDate 2021
url https://dx.doi.org/10.17863/cam.68733
https://www.repository.cam.ac.uk/handle/1810/321615
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
genre_facet Antarc*
Antarctic
Antarctica
op_rights open.access
All rights reserved
http://purl.org/coar/access_right/c_abf2
op_doi https://doi.org/10.17863/cam.68733
_version_ 1792041487617228800