Evidence map›Paper›PMID 34226827›Full record

ArticleFrontiers in plant science2021

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

Andrew Gray, Monika Krolikowski, Peter Fretwell, Peter Convey, Lloyd S Peck, Monika Mendelova, Alison G Smith, Matthew P Davey

Abstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Snowmelt duration controls red algal blooms in the snow of the European Alps.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Andrew GrayDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Monika KrolikowskiDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Peter FretwellBritish Antarctic Survey, Natural Environment Research Council, Cambridge, United Kingdom.
Peter ConveyBritish Antarctic Survey, Natural Environment Research Council, Cambridge, United Kingdom.
Lloyd S PeckBritish Antarctic Survey, Natural Environment Research Council, Cambridge, United Kingdom.
Monika MendelovaDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Alison G SmithDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Matthew P DaveyDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/I013164/1
6 · The paper itself

Abstract

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

Indexed as

Antarcticaecologyremote sensingsatellitessnowsnow algaeWorldView

Identifiers

PMID34226827
PMCPMC8254402

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.