Browsing by Author "Sibanda, Mbulisi"
Now showing items 1-14 of 14
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Application of drone technologies in surface water resources monitoring and assessment: A systematic review of progress, challenges, and opportunities in the global south
Sibanda, Mbulisi; Mutanga, Onisimo; Chimonyo, Vimbayi G. P. (MPDI, 2021)Accurate and timely information on surface water quality and quantity is critical for various applications, including irrigation agriculture. In-field water quality and quantity data from unmanned aerial vehicle systems ... -
Assessing the prospects of remote sensing maize leaf area index using uav-derived multi-spectral data in smallholder farms across the growing season
Buthelezi, Siphiwokuhle; Mutanga, Onisimo; Sibanda, Mbulisi (MDPI, 2023)Maize (Zea Mays) is one of the most valuable food crops in sub-Saharan Africa and is a critical component of local, national and regional economies. Whereas over 50% of maize production in the region is produced by ... -
A comparative estimation of maize leaf water content using machine learning techniques and unmanned aerial vehicle (uav)-based proximal and remotely sensed data
Ndlovu, Helen S.; Odindi, John; Sibanda, Mbulisi (MPDI, 2021): Determining maize water content variability is necessary for crop monitoring and in developing early warning systems to optimise agricultural production in smallholder farms. However, spatially explicit information on ... -
Correction: sibanda et al. application of drone technologies in surface water resources monitoring and assessment: a systematic review of progress, challenges, and opportunities in the global south. drones 2021, 5, 84
Dube, Timothy; Mazvimavi, Dominic; Sibanda, Mbulisi; Mutanga, Onisimo (Drones, 2022)In the original publication [1], “Fahad Alawadi. Detection of surface algal blooms using the newly developed algorithm surface algal bloom index (SABI)”, “Proc. SPIE 7825, Remote Sensing of the Ocean, Sea Ice, and Large ... -
Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: A scoping review and bibliometric analysis
Gokool, Shaeden; Mahomed, Maqsooda; Sibanda, Mbulisi (MDPI, 2023)In this study, we conducted a scoping review and bibliometric analysis to evaluate the state-of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies to guide precision agriculture (PA) ... -
Developments in the remote sensing of soil erosion in the perspective of sub-Saharan Africa. Implications on future food security and biodiversity
Seutloali, Khoboso E.; Dube, Timothy; Sibanda, Mbulisi (Elsevier, 2018)The remote sensing of soil erosion has gained substantial consideration, with considerable scientific research work having been conducted in the past, due to technological improvements that have resulted in the release of ... -
Discrimination of tomato plants (solanum lycopersicum) grown under anaerobic baffled reactor effluent, nitrified urine concentrates and commercial hydroponic fertilizer regimes using simulated sensor spectral settings
Sibanda, Mbulisi; Mutanga, Onisimo; Dube, Timothy (MPDI, 2019)We assess the discriminative strength of three different satellite spectral settings (HyspIRI, the forthcoming Landsat 9 and Sentinel 2-MSI), in mapping tomato (Solanum lycopersicum Linnaeus) plants grown under hydroponic ... -
Establishing the link between urban land cover change and the proliferation of aquatic hyacinth (Eichhornia crassipes) in Harare Metropolitan, Zimbabwe
Dube, Timothy; Sibanda, Mbulisi; Bangamwabo, Victor (Elsevier, 2018)Urbangrowthisakeyprocessaffectingthefunctioningofnaturalecosystems,andconsequentlythegloballand-surface process. This work aimed at establishing the link between land cover changes around HarareMetropolitancityandtheprol ... -
Estimating and monitoring land surface phenology in rangelands: A review of progress and challenges
Matongera, Trylee Nyasha; Mutanga, Onisimo; Sibanda, Mbulisi (MPDI, 2021)Land surface phenology (LSP) has been extensively explored from global archives of satellite observations to track and monitor the seasonality of rangeland ecosystems in response to climate change. Long term monitoring ... -
Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an unmanned aerial vehicle (uav) platform
Brewer, Kiara; Clulow, Alistair; Sibanda, Mbulisi (MDPI, 2022)Climatic variability and extreme weather events impact agricultural production, especially in sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the development of early warning systems regarding ... -
Inter-Seasonal Estimation of Grass Water Content Indicators Using Multisource Remotely Sensed Data Metrics and the Cloud-Computing Google Earth Engine Platform
Masenyama, Anita; Mutanga, Onisimo; Dube, Timothy; Sibanda, Mbulisi (MDPI, 2023)Indicators of grass water content (GWC) have a significant impact on eco-hydrological processes such as evapotranspiration and rainfall interception. Several site-specific factors such as seasonal precipitation, temperature, ... -
Mapping the spatial distribution of underutilised crop species under climate change using the MaxEnt model: A case of KwaZulu-Natal, South Africa
Mugiyo, Hillary; Chimonyo, Vimbayi G.P.; Sibanda, Mbulisi (Elsevier, 2022)Knowing the spatial and temporal suitability of neglected and underutilised crop species (NUS) is important for fitting them into marginal production areas and cropping systems under climate change. The current study ... -
Prospects of improving agricultural and water productivity through unmanned aerial vehicles
Sibanda, Mbulisi; Nhamo, Luxon; Magidi, James (MDPI, 2020)Unmanned Aerial Vehicles (UAVs) are an alternative to costly and time-consuming traditional methods to improve agricultural water management and crop productivity through the acquisition, processing, and analyses of ... -
Remote Sensing Grassland Productivity Attributes: A Systematic Review
Bangira, Tsitsi; Mutanga, Onisimo; Sibanda, Mbulisi; Dube, Timothy; Mabhaudhi, Tafadzwanashe (MDPI, 2023)A third of the land on the Earth is composed of grasslands, mainly used for forage. Much effort is being conducted to develop tools to estimate grassland productivity (GP) at different extents, concentrating on spatial and ...