Dr. Mbulisi Sibanda
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Dr. Mbulisi Sibanda

Post-Doctoral Fellow
University of KwaZulu-Natal, South Africa

Highest Degree
Ph.D. in Geography from University of KwaZulu-Natal, Pietermaritzburg, South Africa

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Area of Interest:

Earth Science and Geography
100%
Earth Observation
62%
Geographic Information System
90%
Remote Sensing
75%
Environmental Science
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Sibanda, M., O. Mutanga, T. Dube, T.S. Vundla and P.L. Mafongoya, 2018. Estimating LAI and mapping canopy storage capacity for hydrological applications in wattle infested ecosystems using Sentinel-2 MSI derived Red Edge bands. GISci. Remote Sens. 10.1080/15481603.2018.1492213.
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  2. Seutloali, K.E., T. Dube and M. Sibanda, 2018. Developments in the remote sensing of soil erosion in the perspective of sub-Saharan Africa. Implications on future food security and biodiversity. Remote Sens. Applic.: Soc. Environ., 9: 100-106.
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  3. Chemura, A., O. Mutanga, M. Sibanda and P. Chidoko, 2018. Machine learning prediction of coffee rust severity on leaves using spectroradiometer data. Trop. Plant Pathol., 43: 117-127.
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  4. Sibanda, M., O. Mutanga, M. Rouget and L. Kumar, 2017. Estimating biomass of native grass grown under complex management treatments using worldview-3 spectral derivatives. Remote Sens., Vol. 9. 10.3390/rs9010055.
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  5. Sibanda, M., O. Mutanga and M. Rouget, 2017. Testing the capabilities of the new WorldView-3 space-borne sensor’s red-edge spectral band in discriminating and mapping complex grassland management treatments. Int. J. Remote Sens., 38: 1-22.
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  6. Matongera, T.N., O. Mutanga, T. Dube and M. Sibanda, 2017. Detection and mapping the spatial distribution of bracken fern weeds using the Landsat 8 OLI new generation sensor. Int. J. Applied Earth Observ. Geoinform., 57: 93-103.
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  7. Gara, T.W., T. Wang, A.K. Skidmore, S.M. Ngene, T. Dube and M. Sibanda, 2017. Elephants move faster in small fragments of low productivity in Amboseli ecosystems: Kenya. Geocarto Int., 32: 1243-1253.
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  8. Dube, T., O. Mutanga, M. Sibanda, V. Bangamwabo and C. Shoko, 2017. Testing the detection and discrimination potential of the new Landsat 8 satellite data on the challenging water hyacinth (Eichhornia crassipes) in freshwater ecosystems. Applied Geography, 84: 11-22.
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  9. Dube, T., O. Mutanga, M. Sibanda, K. Seutloali and C. Shoko, 2017. Use of Landsat series data to analyse the spatial and temporal variations of land degradation in a dispersive soil environment: A case of King Sabata Dalindyebo local municipality in the Eastern Cape Province, South Africa. Phys. Chem. Earth Parts A/B/C, 100: 112-120.
    CrossRef  |  Direct Link  |  
  10. Dube, T., O. Mutanga, M. Sibanda, C. Shoko and A. Chemura, 2017. Evaluating the influence of the Red Edge band from RapidEye sensor in quantifying leaf area index for hydrological applications specifically focussing on plant canopy interception. Phys. Chem. Earth Parts A/B/C, 100: 73-80.
    CrossRef  |  Direct Link  |  
  11. Dube, T., M. Sibanda, C. Shoko and O. Mutanga, 2017. Stand-volume estimation from multi-source data for coppiced and high forest Eucalyptus spp. silvicultural systems in KwaZulu-Natal, South Africa. ISPRS J. Photogrammetry Remote Sens., 132: 162-169.
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  12. Sibanda, M., T. Dube, V.M. Bangamwabo, O. Mutanga, C. Shoko and W. Gumindoga, 2016. Understanding the spatial distribution of elephant (Loxodonta Africana) poaching incidences in the mid-Zambezi Valley, Zimbabwe using geographic information systems and remote sensing. Geocarto Int., 31: 1006-1018.
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  13. Sibanda, M., T. Dube, T. Mubango and C. Shoko, 2016. The utility of earth observation technologies in understanding impacts of land reform in the eastern region of Zimbabwe. J. Land Use Sci., 11: 384-400.
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  14. Sibanda, M., O. Mutanga and M. Rouget, 2016. Discriminating rangeland management practices using simulated HyspIRI, landsat 8 OLI, sentinel 2 MSI and VENµS spectral data. IEEE J. Selected Top. Applied Earth Observ. Remote Sens., 9: 3957-3969.
    CrossRef  |  Direct Link  |  
  15. Sibanda, M., O. Mutanga and M. Rouget, 2016. Comparing the spectral settings of the new generation broad and narrow band sensors in estimating biomass of native grasses grown under different management practices. GISci. Remote Sens., 53: 614-633.
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  16. Shoko, C., T. Dube, M. Sibanda and V. Bangamwabo, 2016. Quantifying the spatial and temporal changes in forested landcover using landscape metrics derived from remotely sensed data in rural parts of Zimbabwe. Trans. R. Soc. S. Afr., 71: 105-113.
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  17. Seutloali, K.E., H.R. Beckedahl, T. Dube and M. Sibanda, 2016. An assessment of gully erosion along major armoured roads in south-eastern region of South Africa: A remote sensing and GIS approach. Geocarto Int., 31: 225-239.
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  18. Gara, T.W., A. Murwira, T. Dube, M. Sibanda and D.T. Rwasoka et al., 2016. Estimating forest carbon stocks in tropical dry forests of Zimbabwe: Exploring the performance of high and medium spatial-resolution multispectral sensors. Southern For.: J. For. Sci., 79: 31-40.
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  19. Dube, T., W.T. Gara, M. Sibanda, C. Shoko, A. Murwira, H. Ndaimani and C. Hatendi, 2016. Estimating forest standing biomass in savanna woodlands as an indicator of forest productivity using the new generation WorldView-2 sensor. Geocarto Int., 33: 178-188.
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  20. Dube, T., M. Sibanda and C. Shoko, 2016. Examining the variability of small-reservoir water levels in semi-arid environments for integrated water management purposes, using remote sensing. Trans. R. Soc. S. Afr., 71: 115-119.
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  21. Buthelezi, N.L., O. Mutanga, M. Rouget and M. Sibanda, 2016. A spatial and temporal assessment of fire regimes on different vegetation types using MODIS burnt area products. Bothalia-Afr. Biodivers. Conserv., 46: 1-9.
    CrossRef  |  Direct Link  |  
  22. Sibanda, M., T. Dube, K. Seutloali and S. Adelabu, 2015. Operational applications of remote sensing in groundwater mapping across sub-Saharan Africa. Trans. R. Soc. S. Afr., 70: 173-179.
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  23. Sibanda, M., O. Mutanga, M. Rouget and J. Odindi, 2015. Exploring the potential of in situ hyperspectral data and multivariate techniques in discriminating different fertilizer treatments in grasslands. J. Applied Remote Sens., Vol. 9. 10.1117/1.JRS.9.096033.
    CrossRef  |  Direct Link  |  
  24. Sibanda, M., O. Mutanga and M. Rouget, 2015. Examining the potential of sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments. ISPRS J. Photogrammetry Remote Sens., 110: 55-65.
    CrossRef  |  Direct Link  |  
  25. Shoko, C., T. Dube, M. Sibanda and W. Gumindoga, 2015. In-depth analysis of the impacts of rural population growth on the natural environment: A GIS and remote sensing approach. Trans. R. Soc. S. Afr., 70: 149-153.
    CrossRef  |  Direct Link  |  
  26. Shoko, C., T. Dube, M. Sibanda and S. Adelabu, 2015. Applying the Surface Energy Balance System (SEBS) remote sensing model to estimate spatial variations in evapotranspiration in Southern Zimbabwe. Trans. R. Soc. S. Afr., 70: 47-55.
    CrossRef  |  Direct Link  |  
  27. Matavire, M.M., M. Sibanda and T. Dube, 2015. Assessing the aftermath of the fast track land reform programme in Zimbabwe on land-use and land-cover changes. Trans. R. Soc. S. Afr., 70: 181-186.
    CrossRef  |  Direct Link  |  
  28. Maguranyanga, C., A. Murwira and M. Sibanda, 2015. Distinguishing maize, soyabean and tobacco fields using temporal MODIS 16 day NDVI images in the large scale commercial farming areas of Zimbabwe. J. Indian Soc. Remote Sens., 43: 79-87.
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  29. Sibanda, M. and A. Murwira, 2012. The use of multi-temporal MODIS images with ground data to distinguish cotton from maize and sorghum fields in smallholder agricultural landscapes of Southern Africa. Int. J. Remote Sens., 33: 4841-4855.
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  30. Sibanda, M. and A. Murwira, 2012. Cotton fields drive elephant habitat fragmentation in the Mid Zambezi Valley, Zimbabwe. Int. J. Applied Earth Observ. Geoinform., 19: 286-297.
    Direct Link  |  
  31. Baudron, F., M. Corbeels, J.A. Andersson, M. Sibanda and K.E. Giller, 2011. Delineating the drivers of waning wildlife habitat: the predominance of cotton farming on the fringe of protected areas in the Mid-Zambezi Valley, Zimbabwe. Biol. Conserv., 144: 1481-1493.
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