| Comparing thresholding with machine learning classifiers for mapping complex water T Bangira, SM Alfieri, M Menenti, A Van Niekerk Remote Sensing 11 (11), 1351, 2019 | 132 | 2019 |
| Remote sensing of aboveground forest biomass: A review B Tsitsi Trop. Ecol 57, 125-132, 2016 | 122 | 2016 |
| A spectral unmixing method with ensemble estimation of endmembers: Application to flood mapping in the Caprivi floodplain T Bangira, SM Alfieri, M Menenti, A Van Niekerk, Z Vekerdy Remote sensing 9 (10), 1013, 2017 | 33 | 2017 |
| Estimating wood volume from canopy area in deciduous woodlands of Zimbabwe TW Gara, A Murwira, E Chivhenge, T Dube, T Bangira Southern Forests: A Journal of Forest Science 76 (4), 237-244, 2014 | 31 | 2014 |
| Investigating flash floods potential areas using ASCAT and TRMM satellites in the Western Cape Province, South Africa T Bangira, BHP Maathuis, T Dube, TW Gara Geocarto International 30 (7), 737-754, 2015 | 26 | 2015 |
| Mapping of flash flood potential areas in the Western Kape, South Africa, using remote sensing and in situ data T Bangira University of Twente, 2013 | 21 | 2013 |
| A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services A Masenyama, O Mutanga, T Dube, T Bangira, M Sibanda, T Mabhaudhi GIScience & Remote Sensing 59 (1), 1000-1025, 2022 | 20 | 2022 |
| Flood extent mapping in the Caprivi floodplain using sentinel-1 time series T Bangira, L Iannini, M Menenti, A Van Niekerk, Z Vekerdy IEEE Journal of selected topics in applied earth observations and remote …, 2021 | 16 | 2021 |
| Spatio-temporal variations in the ecological vulnerability of the Upper Mzingwane sub-catchment of Zimbabwe B Chisadza, F Ncube, M Macherera, T Bangira, O Gwate Geomatics, Natural Hazards and Risk 14 (1), 2190857, 2023 | 7 | 2023 |
| A novel change detection and threshold-based ensemble of scenarios pyramid for flood extent mapping using Sentinel-1 data E Pedzisai, O Mutanga, J Odindi, T Bangira Heliyon 9 (3), 2023 | 6 | 2023 |
| Mapping surface water in complex and heterogeneous environments using remote sensing T Bangira Stellenbosch: Stellenbosch University, 2019 | 5 | 2019 |
| Remote sensing-based water quality monitoring in African reservoirs, potential and limitations of sensors and algorithms: A systematic review T Bangira, TN Matongera, T Mabhaudhi, O Mutanga Physics and Chemistry of the Earth, Parts A/B/C, 103536, 2023 | 3 | 2023 |
| Use of drones to monitor water availability and quality in irrigation canals and reservoirs for improving water productivity and enhancing precision agriculture in smallholder … T Mabhaudhi, T Bangira, M Sibanda, O Cofie IWMI, 2022 | 2 | 2022 |
| Remote sensing grassland productivity attributes: a systematic review T Bangira, O Mutanga, M Sibanda, T Dube, T Mabhaudhi Remote Sensing 15 (8), 2043, 2023 | 1 | 2023 |
| GEOSPATIAL MODELLING OF RANGELANDS PRODUCTIVITY IN WATER-LIMITED ENVIRONMENTS OF SOUTH AFRICA O MUTANGA, TD T MABHAUDHI, M SIBANDA, T BANGIRA | | 2024 |
| A geospatial web-based integrative analytical tool for the water-energy-food nexus: the iWEF 1.0 C Taguta, L Nhamo, Z Kiala, T Bangira, TL Dirwai, A Senzanje, ... Frontiers in Water 5, 1305373, 2023 | | 2023 |
| Appraising peri-urban food production in Durban, South Africa, with Participatory Geographic Information Systems (PGIS) M SARDESHPANDE, T Bangira, TN MATONGERA, MA Cho, ... | | 2023 |
| STATUS OF IMPLEMENTATION OF THE WATER-ENERGY-FOOD (WEF) NEXUS APPROACH: CASE OF SOUTH AFRICA AND ZIMBABWE C Taguta, A Senzanje, H Makurira, GPW Jewitt, TL Dirwai, S Mpandeli, ... | | |
| iWEF 1.0: A WEB-BASED AND GIS-ENABLED INTEGRATIVE WATER-ENERGY-FOOD (WEF) NEXUS ANALYTICAL MODEL C Taguta, Z Kiala, T Bangira, L Nhamo, A Senzanje, T Mabhaudhi | | |
