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

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 sprea...

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Autores principales: Trylee Nyasha Matongera, Onisimo Mutanga, Mbulisi Sibanda
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/891039cfadf64eaa9d71bf3b730606d7
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spelling oai:doaj.org-article:891039cfadf64eaa9d71bf3b730606d72021-12-02T20:16:31ZCharacterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.1932-620310.1371/journal.pone.0257196https://doaj.org/article/891039cfadf64eaa9d71bf3b730606d72021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257196https://doaj.org/toc/1932-6203Bracken 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.Trylee Nyasha MatongeraOnisimo MutangaMbulisi SibandaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0257196 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Trylee Nyasha Matongera
Onisimo Mutanga
Mbulisi Sibanda
Characterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.
description 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.
format article
author Trylee Nyasha Matongera
Onisimo Mutanga
Mbulisi Sibanda
author_facet Trylee Nyasha Matongera
Onisimo Mutanga
Mbulisi Sibanda
author_sort Trylee Nyasha Matongera
title Characterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.
title_short Characterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.
title_full Characterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.
title_fullStr Characterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.
title_full_unstemmed Characterizing bracken fern phenological cycle using time series data derived from Sentinel-2 satellite sensor.
title_sort characterizing bracken fern phenological cycle using time series data derived from sentinel-2 satellite sensor.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/891039cfadf64eaa9d71bf3b730606d7
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AT onisimomutanga characterizingbrackenfernphenologicalcycleusingtimeseriesdataderivedfromsentinel2satellitesensor
AT mbulisisibanda characterizingbrackenfernphenologicalcycleusingtimeseriesdataderivedfromsentinel2satellitesensor
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