Mbulisi Sibanda
Biographic Data
| ID | 4002656 |
|---|---|
| NAME | Mbulisi Sibanda |
| GIVEN NAMES | Mbulisi |
| FAMILY NAME | Sibanda |
| SIGNATURE | SIBANDA M |
| AFFILIATIONS | University of the Western Cape |
| ORCID | 0000-0002-4589-7099 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Evaluating UAV Multispectral Imagery, Machine Learning and Image Analysis Techniques for Mapping Taro and Sweet Potato in a Smallholder Cropland in Swayimane, South Africa
Accurate mapping of neglected and underutilised crop species (NUS) in complex smallholder fields is critical for enhancing food security, yet it remains a significant challenge due to landscape heterogeneity, spectral similarities between crops and the spatial complexity of strip intercropping systems. This study evaluates the efficacy of unmanned aerial vehicle (UAV) multispectral imagery for mapping taro and sweet potato, addressing the limitat…
Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa
Semi-arid savannah rangelands are diverse environments (in terms of species) that play an important role in sustaining biodiversity and providing ecosystem services. However, the emergence of non-native species, as well as bush encroachment, are currently threatening these (semi-arid rangeland and grassland) ecosystems. The purpose of this study was therefore to map and quantify the spatial extents of non-native woody vegetation in the Kruger Nat…
Testing the value of freely available Landsat 8 Operational Land Imager (OLI) and OLI pan-sharpened imagery in discriminating commercial forest species
The adoption of remotely sensed data in forest applications has grown significantly. Whereas high spatial resolution sensors have been successful in mapping and monitoring commercial forests, their cost, accessibility, and spatial coverage remain a critical challenge. Hence, it is was necessary to investigate the value of new and improved freely available sensors in forest species mapping using the Partial Least Square-Discriminant Analysis (PLS-…
Mapping the spatial distribution of the yellowwood tree ( Podocarpus henkelii ) in the Weza-Ngele forest using the newly launched Sentinel-2 multispectral imager data
The conservation of indigenous tree species is not only significant for the natural heritage, but for conserving numerous species that are heavily dependent on these trees for survival. Remotely sensed data have been proven to be an effective tool for enumeration monitoring of vegetation resources. However, the utility of freely available new generation multispectral sensors with improved spatial and spectral resolutions still needs to be underst…
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Testing the value of freely available Landsat 8 Operational Land Imager (OLI) and OLI pan-sharpened imagery in discriminating commercial forest species
The adoption of remotely sensed data in forest applications has grown significantly. Whereas high spatial resolution sensors have been successful in mapping and monitoring commercial forests, their cost, accessibility, and spatial coverage remain a critical challenge. Hence, it is was necessary to investigate the value of new and improved freely available sensors in forest species mapping using the Partial Least Square-Discriminant Analysis (PLS-…
Mapping the spatial distribution of the yellowwood tree ( Podocarpus henkelii ) in the Weza-Ngele forest using the newly launched Sentinel-2 multispectral imager data
The conservation of indigenous tree species is not only significant for the natural heritage, but for conserving numerous species that are heavily dependent on these trees for survival. Remotely sensed data have been proven to be an effective tool for enumeration monitoring of vegetation resources. However, the utility of freely available new generation multispectral sensors with improved spatial and spectral resolutions still needs to be underst…
Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa
Semi-arid savannah rangelands are diverse environments (in terms of species) that play an important role in sustaining biodiversity and providing ecosystem services. However, the emergence of non-native species, as well as bush encroachment, are currently threatening these (semi-arid rangeland and grassland) ecosystems. The purpose of this study was therefore to map and quantify the spatial extents of non-native woody vegetation in the Kruger Nat…
Evaluating UAV Multispectral Imagery, Machine Learning and Image Analysis Techniques for Mapping Taro and Sweet Potato in a Smallholder Cropland in Swayimane, South Africa
Accurate mapping of neglected and underutilised crop species (NUS) in complex smallholder fields is critical for enhancing food security, yet it remains a significant challenge due to landscape heterogeneity, spectral similarities between crops and the spatial complexity of strip intercropping systems. This study evaluates the efficacy of unmanned aerial vehicle (UAV) multispectral imagery for mapping taro and sweet potato, addressing the limitat…
Remote Sensing in Agriculture (4 works) · Environmental Science (3 works) · Geography (3 works) · Remote sensing (3 works) · Ecology (2 works) · Multispectral image (2 works) · Remote Sensing and LiDAR Applications (2 works) · Satellite imagery (2 works) · Species Distribution and Climate Change (2 works) · Advanced Image Fusion Techniques (1 work)