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...

Full description

Bibliographic Details
Main Authors: Gray, Andrew, Krolikowski, Monika, Fretwell, Peter, Convey, Peter, Peck, Lloyd S., Mendelova, Monika, Smith, Alison G., Davey, Matthew P.
Format: Text
Language:unknown
Published: Apollo - University of Cambridge Repository 2021
Subjects:
Online Access:https://dx.doi.org/10.17863/cam.72245
https://www.repository.cam.ac.uk/handle/1810/324792
id ftdatacite:10.17863/cam.72245
record_format openpolar
spelling ftdatacite:10.17863/cam.72245 2023-05-15T13:25:02+02:00 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.72245 https://www.repository.cam.ac.uk/handle/1810/324792 unknown Apollo - University of Cambridge Repository Plant Science snow algae Antarctica remote sensing snow satellites WorldView ecology Text Article article-journal ScholarlyArticle 2021 ftdatacite https://doi.org/10.17863/cam.72245 2021-11-05T12:55:41Z 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. Text Anchorage Island Antarc* Antarctic Antarctica DataCite Metadata Store (German National Library of Science and Technology) 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 DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Plant Science
snow algae
Antarctica
remote sensing
snow
satellites
WorldView
ecology
spellingShingle Plant Science
snow algae
Antarctica
remote sensing
snow
satellites
WorldView
ecology
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 Plant Science
snow algae
Antarctica
remote sensing
snow
satellites
WorldView
ecology
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.
format Text
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 Apollo - University of Cambridge Repository
publishDate 2021
url https://dx.doi.org/10.17863/cam.72245
https://www.repository.cam.ac.uk/handle/1810/324792
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_doi https://doi.org/10.17863/cam.72245
_version_ 1766383271090847744