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...
Main Authors: | , , , , , , , |
---|---|
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 |