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Mbulisi Sibanda
Mbulisi Sibanda
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Title
Cited by
Cited by
Year
Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments
M Sibanda, O Mutanga, M Rouget
ISPRS Journal of Photogrammetry and Remote Sensing 110, 55-65, 2015
2182015
Evaluation of land suitability methods with reference to neglected and underutilised crop species: A scoping review
H Mugiyo, VGP Chimonyo, M Sibanda, R Kunz, CR Masemola, AT Modi, ...
Land 10 (2), 125, 2021
712021
Detection and mapping the spatial distribution of bracken fern weeds using the Landsat 8 OLI new generation sensor
TN Matongera, O Mutanga, T Dube, M Sibanda
International journal of applied earth observation and geoinformation 57, 93-103, 2017
692017
Delineating the drivers of waning wildlife habitat: The predominance of cotton farming on the fringe of protected areas in the Mid-Zambezi Valley, Zimbabwe
F Baudron, M Corbeels, JA Andersson, M Sibanda, KE Giller
Biological Conservation 144 (5), 1481-1493, 2011
672011
Estimating biomass of native grass grown under complex management treatments using worldview-3 spectral derivatives
M Sibanda, O Mutanga, M Rouget, L Kumar
Remote Sensing 9 (1), 55, 2017
662017
Prospects of improving agricultural and water productivity through unmanned aerial vehicles
L Nhamo, J Magidi, A Nyamugama, AD Clulow, M Sibanda, ...
Agriculture 10 (7), 256, 2020
602020
Scribbling the Cat: A Case of the “Miracle” Plant, Moringa oleifera
T Tshabalala, B Ncube, NE Madala, TT Nyakudya, HP Moyo, M Sibanda, ...
Plants 8 (11), 510, 2019
592019
Discriminating rangeland management practices using simulated hyspIRI, landsat 8 OLI, sentinel 2 MSI, and VENµs spectral data
M Sibanda, O Mutanga, M Rouget
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
572016
Comparing the spectral settings of the new generation broad and narrow band sensors in estimating biomass of native grasses grown under different management practices
M Sibanda, O Mutanga, M Rouget
GIScience & Remote Sensing 53 (5), 614-633, 2016
562016
Application of drone technologies in surface water resources monitoring and assessment: A systematic review of progress, challenges, and opportunities in the global south
M Sibanda, O Mutanga, VGP Chimonyo, AD Clulow, C Shoko, ...
Drones 5 (3), 84, 2021
542021
An assessment of gully erosion along major armoured roads in south-eastern region of South Africa: a remote sensing and GIS approach
KE Seutloali, HR Beckedahl, T Dube, M Sibanda
Geocarto International 31 (2), 225-239, 2016
522016
An assessment of groundwater use in irrigated agriculture using multi-spectral remote sensing
L Nhamo, GY Ebrahim, T Mabhaudhi, S Mpandeli, M Magombeyi, ...
Physics and Chemistry of the Earth, Parts A/B/C 115, 102810, 2020
502020
Exploring the potential of in situ hyperspectral data and multivariate techniques in discriminating different fertilizer treatments in grasslands
M Sibanda, O Mutanga, M Rouget, J Odindi
Journal of Applied Remote Sensing 9 (1), 096033-096033, 2015
492015
Machine learning prediction of coffee rust severity on leaves using spectroradiometer data
A Chemura, O Mutanga, M Sibanda, P Chidoko
Tropical Plant Pathology 43, 117-127, 2018
482018
A comparative estimation of maize leaf water content using machine learning techniques and unmanned aerial vehicle (UAV)-based proximal and remotely sensed data
HS Ndlovu, J Odindi, M Sibanda, O Mutanga, A Clulow, VGP Chimonyo, ...
Remote Sensing 13 (20), 4091, 2021
462021
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
M Sibanda, A Murwira
International Journal of Remote Sensing 33 (16), 4841-4855, 2012
402012
Estimating LAI and mapping canopy storage capacity for hydrological applications in wattle infested ecosystems using Sentinel-2 MSI derived red edge bands
M Sibanda, O Mutanga, T Dube, T S Vundla, P L Mafongoya
GIScience & Remote Sensing 56 (1), 68-86, 2019
392019
Testing the capabilities of the new WorldView-3 space-borne sensor’s red-edge spectral band in discriminating and mapping complex grassland management treatments
M Sibanda, O Mutanga, M Rouget
International journal of remote sensing 38 (1), 1-22, 2017
392017
Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems
K Brewer, A Clulow, M Sibanda, S Gokool, V Naiken, T Mabhaudhi
Remote Sensing 14 (3), 518, 2022
362022
Testing the detection and discrimination potential of the new Landsat 8 satellite data on the challenging water hyacinth (Eichhornia crassipes) in freshwater ecosystems
T Dube, O Mutanga, M Sibanda, V Bangamwabo, C Shoko
Applied geography 84, 11-22, 2017
362017
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