Evidence map›Paper›PMID 34710104›Full record

ArticlePloS one2021

Characterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.

Trylee Nyasha Matongera, Onisimo Mutanga, Mbulisi Sibanda

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Trylee Nyasha MatongeraDiscipline of Geography, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa.ORCID 0000-0001-6290-1427
Onisimo MutangaDiscipline of Geography, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa.
Mbulisi SibandaDepartment of Geography, Environmental Studies and Tourism, University of Western Cape, Cape Town, South Africa.ORCID 0000-0002-4589-7099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bracken fern is an invasive plant that has caused serious disturbances in many ecosystems due to its ability to encroach into new areas swiftly. Adequate knowledge of the phenological cycle of bracken fern is required to serve as an important tool in formulating management plans to control the spread of the fern. This study aimed to characterize the phenological cycle of bracken fern using NDVI and EVI2 time series data derived from Sentinel-2 sensor. The TIMESAT program was used for removing low quality data values, model fitting and for extracting bracken fern phenological metrics. The Sentinel-2 satellite-derived phenological metrics were compared with the corresponding bracken fern phenological events observed on the ground. Findings from our study revealed that bracken fern phenological metrics estimated from satellite data were in close agreement with ground observed phenological events with R2 values ranging from 0.53-0.85 (p < 0.05). Although they are comparable, our study shows that NDVI and EVI2 differ in their ability to track the phenological cycle of bracken fern. Overall, EVI2 performed better in estimating bracken fern phenological metrics as it related more to ground observed phenological events compared to NDVI. The key phenological metrics extracted in this study are critical for improving the precision in the controlling of the spread of bracken fern as well as in implementing active protection strategies against the invasion of highly susceptible rangelands.

Indexed as

Introduced SpeciesEcosystemPteridiumRemote Sensing TechnologySatellite Communications

Identifiers

PMID34710104
PMCPMC8553072

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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.