Assessing the utility of Sentinel-2 MSI in mapping an encroaching Serephium plumosum in South African rangeland

Nkhwanana, J. N.; Adam, Elhadi; Ramoelo, Abel

doi:10.1007/s12518-022-00423-5

Cited by 6 publications

(3 citation statements)

References 66 publications

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“…The latest reports highlight the growing concern over S. plumosum's invasive nature in South African grasslands [10]. The encroachment of S. plumosum in South Africa has led to the transformation of large grassland expanses into shrubland-grassland ecosystems of lower productivity [11]. S. plumosum is a serious threat to the sustainable production of grasslands in the Eastern Cape, Free State, Mpumalanga, North-West, and Gauteng provinces of South Africa [8].…”

Section: Description Of Seriphium Plumosum Lmentioning

confidence: 99%

“…S. plumosum is a serious threat to the sustainable production of grasslands in the Eastern Cape, Free State, Mpumalanga, North-West, and Gauteng provinces of South Africa [8]. The invasive nature of this encroaching shrub has posed a significant risk to the survival of approximately eleven million hectares of palatable grassland in South Africa, as reported by [11]. Previously, the expansion of S. plumosum was said to be attributed to the absence of controlled burning and selective grazing, particularly by sheep, following the establishment of livestock farming in these regions [8].…”

Section: Description Of Seriphium Plumosum Lmentioning

confidence: 99%

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Review on the Anti-Hyperglycemic Potential of Psidium guajava and Seriphium plumosum L.

Thembane,

Hlatshwayo,

Ngcobo

et al. 2024

Plants

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The treatment and management of diabetes mellitus (DM) with conventional therapies, such as insulin injections and oral hypoglycemic agents, present significant challenges due to their side effects and burdensome administration. Therapies often manage symptoms rather than addressing insulin regulation, akin to medications like thiazolidinediones and glinides, which resemble many medicinal plants. Medicinal plants offer potential alternative treatments due to bioactive compounds targeting diabetes causes. We aimed to explore the antidiabetic potential of two medicinal plants, Psidium guajava and Seriphium plumosum L., by investigating their phytochemical constituents, medicinal uses, pharmacological actions, and mechanisms. This review followed specific guidelines and searched databases including PubMed, Scopus, ScienceDirect, and Web of Science for studies on medicinal plants and DM. Eligible studies underwent quality assessment and were categorized based on their design and interventions for data synthesis. This review identified the phytochemical constituents in Psidium guajava and Seriphium plumosum L., including tannins, flavonoids, phenols, and steroids, exerting antidiabetic effects through various mechanisms like antioxidant activity, anti-inflammatory effects, stimulation of insulin secretion, glucose regulation, and inhibition of carbohydrate-digesting enzymes. Psidium guajava and Seriphium plumosum L. exhibit promising antidiabetic potential, offering alternative approaches to diabetes management. Polyherbalism, combining multiple plant extracts, may enhance therapeutic efficacy in diabetes treatment. Comprehensive research is needed to explore the combined therapeutic effects of these plants and develop more effective antidiabetic treatments. This review highlights the importance of harnessing natural resources to combat the global burden of DM. Further research is warranted to fully explore the combined therapeutic effects of these plants and develop novel treatments.

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Section: Description Of Seriphium Plumosum Lmentioning

confidence: 99%

Section: Description Of Seriphium Plumosum Lmentioning

confidence: 99%

Review on the Anti-Hyperglycemic Potential of Psidium guajava and Seriphium plumosum L.

Thembane,

Hlatshwayo,

Ngcobo

et al. 2024

Plants

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“…The topic of identifying other expansive and invasive plant species in Sentinel-2 data is described in [18,19]. Sentinel-2 images offer high temporal resolution, allowing the capture of the different stages of phenological development of invasive plants in relation to native species, which is one of the key elements of the strategic advantage of alien species over native plants.…”

Section: Introductionmentioning

confidence: 99%

Sentinel-2 versus PlanetScope Images for Goldenrod Invasive Plant Species Mapping

Zagajewski,

Kluczek,

Zdunek

et al. 2024

Remote Sensing

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A proliferation of invasive species is displacing native species, occupying their habitats and degrading biodiversity. One of these is the invasive goldenrod (Solidago spp.), characterized by aggressive growth that results in habitat disruption as it outcompetes native plants. This invasiveness also leads to altered soil composition through the release of allelopathic chemicals, complicating control efforts and making it challenging to maintain ecological balance in affected areas. The research goal was to develop methods that allow the analysis of changes in heterogeneous habitats with high accuracy and repeatability. For this reason, we used open source classifiers Support Vector Machine (SVM), Random Forest (RF), and satellite images of Sentinel-2 (free) and PlanetScope (commercial) to assess their potential in goldenrod classification. Due to the fact that invasions begin with invasion footholds, created by small patches of invasive, autochthonous plants and different land cover patterns (asphalt, concrete, buildings) forming heterogeneous areas, we based our studies on field-verified polygons, which allowed the selection of randomized pixels for the training and validation of iterative classifications. The results confirmed that the optimal solution is the use of multitemporal Sentinel-2 images and the RF classifier, as this combination gave F1-score accuracy of 0.92–0.95 for polygons dominated by goldenrod and 0.85–0.89 for heterogeneous areas where goldenrod was in the minority (mix class; smaller share of goldenrod in canopy than autochthonous plants). The mean decrease in the accuracy analysis (MDA), indicating an informativeness of individual spectral bands, showed that Sentinel-2 bands coastal aerosol, NIR, green, SWIR, and red were comparably important, while in the case of PlanetScope data, the NIR and red were definitely the most important, and remaining bands were less informative, and yellow (B5) did not contribute significant information even during the flowering period, when the plant was covered with intensely yellow perianth, and red-edge, coastal aerosol, or green II were much more important. The maximum RF classification values of Sentinel-2 and PlanetScope images for goldenrod are similar (F1-score > 0.9), but the medians are lower for PlanetScope data, especially with the SVM algorithm.

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Exploring the capability of high-resolution satellite data in delineating the potential distribution of common invasive alien plant species in the Tshivhase Tea Estate

Nembambula,

Malahlela,

Mugwedi

2023

Appl Geomat

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Invasive alien plants (IAPs) continue to exert significant impacts on agriculture in many countries, resulting in food insecurity. IAPs reduce agricultural production through competition and parasitism with planted crops. More recently, the IAPs continue to extend their plasticity to tea plantations, especially in tropical and subtropical areas. This study thus aimed at exploring the potential of SPOT 7 and Sentinel 2 satellite data in mapping the occurrence and co-occurrence of three common IAPs Solanum mauritianum, Lantana camara, and Chromolaena odorata in the Tshivhase Tea Estate in Limpopo Province, South Africa. The stepwise logistic regression models were generated for Solanum mauritianum and Lantana camara occurrence as well as the observed and conditional co-occurrence probability of S. mauritianum (P1), L. camara (P2) and C. odorata (P3). From the remote sensing indices, the Brightness Index (BI) was significant in most SPOT 7 stepwise logistic regression models at p<0.05 whereas the blue, red, and near infrared (NIR) bands and standard deviation (STDv) variables were significant at p<0.05 in most of the Sentinel 2 models. The SPOT 7 model performed Sentinel-2 models, thus resulting in the area under the curve (AUC) of 0.96 for the conditional co-occurrence of S. mauritianum (P1) and L. camara (P2). The Sentinel 2 model yielded an AUC of 0.83. The SPOT 7 model performed superior in mapping the conditional co-occurrence of S. mauritianum and L. camara than the Sentinel 2 model. These results suggest that high spatial resolution satellite images like SPOT 7 can delineate the potential distribution of IAPs in the tea plantation and thus assisting in management strategies geared towards IAP’s elimination and control.

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Assessing the utility of Sentinel-2 MSI in mapping an encroaching Serephium plumosum in South African rangeland

Cited by 6 publications

References 66 publications

Review on the Anti-Hyperglycemic Potential of Psidium guajava and Seriphium plumosum L.

Review on the Anti-Hyperglycemic Potential of Psidium guajava and Seriphium plumosum L.

Sentinel-2 versus PlanetScope Images for Goldenrod Invasive Plant Species Mapping

Exploring the capability of high-resolution satellite data in delineating the potential distribution of common invasive alien plant species in the Tshivhase Tea Estate

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