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://www.repository.cam.ac.uk/handle/1810/321615
https://doi.org/10.17863/CAM.68733
id ftunivcam:oai:www.repository.cam.ac.uk:1810/321615
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spelling ftunivcam:oai:www.repository.cam.ac.uk:1810/321615 2024-02-04T09:52:51+01:00 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 Electronic-eCollection application/pdf https://www.repository.cam.ac.uk/handle/1810/321615 https://doi.org/10.17863/CAM.68733 eng eng Frontiers Media SA http://dx.doi.org/10.3389/fpls.2021.671981 Front Plant Sci https://www.repository.cam.ac.uk/handle/1810/321615 doi:10.17863/CAM.68733 All rights reserved Antarctica WorldView ecology remote sensing satellites snow snow algae Article 2021 ftunivcam https://doi.org/10.17863/CAM.68733 2024-01-11T23:20:39Z 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. WorldView imagery was then used successfully to identify red and green snow algae on Anchorage Island (Ryder Bay, 67°S), estimating peak coverage to be 9.48 × 104 and 6.26 × 104 m2, respectively. Combined, this was greater than terrestrial vegetation area coverage for the island, measured using a normalized difference vegetation index. Green snow algae had greater cell density and average layer thickness than red blooms (6.0 × 104 vs. 4.3 × 104 cells ml-1) and so for Anchorage Island we estimated that green algae dry biomass was over three times that of red algae (567 vs. 180 kg, respectively). Because the high spatial resolution of the WorldView imagery and its ability to detect red blooms, calculated snow algal area was 17.5 times greater than estimated with Sentinel 2 imagery. This highlights a scaling problem of using coarse resolution imagery and suggests snow algal contribution to net primary productivity on Antarctica may be far greater than previously recognized. Leverhulme Trust (RPG-2017-077) Article in Journal/Newspaper Anchorage Island Antarc* Antarctic Antarctica Apollo - University of Cambridge Repository Antarctic Anchorage Ryder ENVELOPE(-68.333,-68.333,-67.566,-67.566) Ryder Bay ENVELOPE(-68.333,-68.333,-67.567,-67.567) Anchorage Island ENVELOPE(-68.214,-68.214,-67.605,-67.605)
institution Open Polar
collection Apollo - University of Cambridge Repository
op_collection_id ftunivcam
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. WorldView imagery was then used successfully to identify red and green snow algae on Anchorage Island (Ryder Bay, 67°S), estimating peak coverage to be 9.48 × 104 and 6.26 × 104 m2, respectively. Combined, this was greater than terrestrial vegetation area coverage for the island, measured using a normalized difference vegetation index. Green snow algae had greater cell density and average layer thickness than red blooms (6.0 × 104 vs. 4.3 × 104 cells ml-1) and so for Anchorage Island we estimated that green algae dry biomass was over three times that of red algae (567 vs. 180 kg, respectively). Because the high spatial resolution of the WorldView imagery and its ability to detect red blooms, calculated snow algal area was 17.5 times greater than estimated with Sentinel 2 imagery. This highlights a scaling problem of using coarse resolution imagery and suggests snow algal contribution to net primary productivity on Antarctica may be far greater than previously recognized. Leverhulme Trust (RPG-2017-077)
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://www.repository.cam.ac.uk/handle/1810/321615
https://doi.org/10.17863/CAM.68733
long_lat ENVELOPE(-68.333,-68.333,-67.566,-67.566)
ENVELOPE(-68.333,-68.333,-67.567,-67.567)
ENVELOPE(-68.214,-68.214,-67.605,-67.605)
geographic Antarctic
Anchorage
Ryder
Ryder Bay
Anchorage Island
geographic_facet Antarctic
Anchorage
Ryder
Ryder Bay
Anchorage Island
genre Anchorage Island
Antarc*
Antarctic
Antarctica
genre_facet Anchorage Island
Antarc*
Antarctic
Antarctica
op_relation https://www.repository.cam.ac.uk/handle/1810/321615
doi:10.17863/CAM.68733
op_rights All rights reserved
op_doi https://doi.org/10.17863/CAM.68733
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