Mapping vegetation species succession in a mountainous grassland ecosystem using Landsat, ASTER MI, and Sentinel-2 data

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dc.contributor.authorAdagbasa, Efosa Gbenga
dc.contributor.authorMukwada, Geofrey
dc.date.accessioned2022-08-10T13:57:40Z
dc.date.available2022-08-10T13:57:40Z
dc.date.issued2022
dc.descriptionPublisher's versionen_ZA
dc.description.abstractVegetation species succession and composition are significant factors determining the rate of ecosystem biodiversity recovery after being disturbed and subsequently vital for sustainable and effective natural resource management and biodiversity. The succession and composition of grasslands ecosystems worldwide have significantly been affected by accelerated environmental changes due to natural and anthropogenic activities. Therefore, understanding spatial data on the succession of grassland vegetation species and communities through mapping and monitoring is essential to gain knowledge on the ecosystem and other ecosystem services. This study used a random forest machine learning classifier on the Google Earth Engine platform to classify grass vegetation species with Landsat 7 ETM+ and ASTER multispectral imager (MI) data resampled with the current Sentinel-2 MSI data to map and estimate the changes in vegetation species succession. The results indicate that ASTER MI has the least accuracy of 72%, Landsat 7 ETM+ 84%, and Sentinel-2 had the highest of 87%. The result also shows that other species had replaced four dominant grass species totaling about 49 km2 throughout the study.en_ZA
dc.identifierhttps://doi.org/10.1371/journal.pone.0256672
dc.identifier.citationAdagbasa, E.G., & Mukwada, G. (2022). Mapping vegetation species succession in a mountainous grassland ecosystem using Landsat, ASTER MI, and Sentinel-2 data. PLOS ONE, 17(1), e0256672. https://doi.org/10.1371/journal.pone.0256672en_ZA
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11660/11820
dc.language.isoenen_ZA
dc.publisherPublic Library of Scienceen_ZA
dc.rights.holderAuthor(s)en_ZA
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/
dc.subjectEcosystemsen_ZA
dc.subjectInvasive speciesen_ZA
dc.subjectBiodiversityen_ZA
dc.subjectGrasslandsen_ZA
dc.subjectMachine learningen_ZA
dc.subjectWildfiresen_ZA
dc.subjectGrassesen_ZA
dc.subjectMachine learning algorithmsen_ZA
dc.titleMapping vegetation species succession in a mountainous grassland ecosystem using Landsat, ASTER MI, and Sentinel-2 dataen_ZA
dc.typeArticleen_ZA
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