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 | 237 | 2015 |
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 | 99 | 2021 |
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 | 95 | 2020 |
Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects O Mutanga, A Masenyama, M Sibanda ISPRS Journal of Photogrammetry and Remote Sensing 198, 297-309, 2023 | 82 | 2023 |
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 | 80 | 2021 |
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 | 79 | 2017 |
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 | 78 | 2017 |
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 | 71 | 2011 |
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 | 68 | 2019 |
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 | 66 | 2021 |
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 | 61 | 2020 |
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 | 61 | 2018 |
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 | 60 | 2016 |
Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a scoping review and bibliometric analysis S Gokool, M Mahomed, R Kunz, A Clulow, M Sibanda, V Naiken, K Chetty, ... Sustainability 15 (4), 3557, 2023 | 58 | 2023 |
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 | 57 | 2022 |
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 | 57 | 2016 |
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 | 56 | 2016 |
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 | 52 | 2015 |
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 … K Brewer, A Clulow, M Sibanda, S Gokool, J Odindi, O Mutanga, V Naiken, ... Drones 6 (7), 169, 2022 | 48 | 2022 |
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 | 44 | 2017 |