| Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa T Dube, O Mutanga ISPRS Journal of Photogrammetry and Remote Sensing 101, 36-46, 2015 | 251 | 2015 |
| Intra-and-inter species biomass prediction in a plantation forest: testing the utility of high spatial resolution spaceborne multispectral rapideye sensor and advanced machine … T Dube, O Mutanga, A Elhadi, R Ismail Sensors 14 (8), 15348-15370, 2014 | 113 | 2014 |
| Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas T Dube, O Mutanga ISPRS Journal of Photogrammetry and Remote Sensing 108, 12-32, 2015 | 112 | 2015 |
| Separability of coffee leaf rust infection levels with machine learning methods at Sentinel-2 MSI spectral resolutions A Chemura, O Mutanga, T Dube Precision Agriculture, 1-23, 2016 | 84 | 2016 |
| Fencing impacts: A review of the environmental, social and economic impacts of game and veterinary fencing in Africa with particular reference to the Great Limpopo and Kavango … K Ferguson, J Hanks Mammal Research Institute, Pretoria. Available at: www. wcs-ahead. org …, 2010 | 73 | 2010 |
| Remote sensing of aboveground forest biomass: A review. T Dube, O Mutanga Tropical Ecology 57 (2), 125-132, 2016 | 72* | 2016 |
| Detection of land cover changes around Lake Mutirikwi, Zimbabwe, based on traditional remote sensing image classification techniques T Dube, W Gumindoga, M Chawira African Journal of Aquatic Science 39 (1), 89-95, 2014 | 65 | 2014 |
| Remote sensing based water quality monitoring in Chivero and Manyame lakes of Zimbabwe M Chawira, T Dube, W Gumindoga Physics and Chemistry of the Earth, Parts A/B/C, 2013 | 65 | 2013 |
| Ungauged runoff simulation in Upper Manyame Catchment, Zimbabwe: Application of the HEC-HMS model W Gumindoga, DT Rwasoka, I Nhapi, T Dube Physics and Chemistry of the Earth, Parts A/B/C 100, 371-382, 2017 | 61 | 2017 |
| Estimating above-ground biomass in sub-tropical buffer zone community forests, Nepal, using Sentinel 2 data S Pandit, S Tsuyuki, T Dube Remote Sensing 10 (4), 601, 2018 | 53 | 2018 |
| Prediction of future urban surface temperatures using medium resolution satellite data in Harare metropolitan city, Zimbabwe TD Mushore, J Odindi, T Dube, O Mutanga Building and Environment 122, 397-410, 2017 | 53 | 2017 |
| An appraisal on the progress of remote sensing applications in soil erosion mapping and monitoring TK Sepuru, T Dube Remote Sensing Applications: Society and Environment 9, 1-9, 2018 | 52 | 2018 |
| Assessing the potential of integrated Landsat 8 thermal bands, with the traditional reflective bands and derived vegetation indices in classifying urban landscapes T Mushore, O Mutanga, J Odindi, T Dube Geocarto Interantional, 2016 | 51 | 2016 |
| Progress in the remote sensing of C3 and C4 grass species aboveground biomass over time and space C Shoko, O Mutanga, T Dube ISPRS Journal of Photogrammetry and Remote Sensing 120, 13-24, 2016 | 50 | 2016 |
| Predicting streamflow for land cover changes in the Upper Gilgel Abay River Basin, Ethiopia: A TOPMODEL based approach W Gumindoga, T Rientjes, AT Haile, T Dube Physics and Chemistry of the Earth, Parts A/B/C, 2015 | 50 | 2015 |
| Quantifying aboveground biomass in African environments: A review of the trade-offs between sensor estimation accuracy and costs T Dube, O Mutanga, R Ismail Tropical Ecology 57 (3), 393-405, 2016 | 48 | 2016 |
| Predicting Eucalyptus spp. stand volume in Zululand, South Africa: an analysis using a stochastic gradient boosting regression ensemble with multi-source data sets T Dube, O Mutanga, E Abdel-Rahman, R Ismail, R Slotow International Journal of Remote Sensing 36 (14), 3751-3772, 2015 | 47 | 2015 |
| Remote sensing of invasive water hyacinth (Eichhornia crassipes): A review on applications and challenges KH Thamaga, T Dube Remote Sensing Applications: Society and Environment 10, 36-46, 2018 | 46 | 2018 |
| Employing ground and satellite-based QuickBird data and random forest to discriminate five tree species in a Southern African Woodland S Adelabu, T Dube Geocarto International 30 (4), 457-471, 2014 | 44 | 2014 |
| 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 | 41 | 2017 |
Prof Dominic MazvimaviUniversity of the Western CapeVerified email at uwc.ac.za
