| Modelling water stress in a Shiraz vineyard using hyperspectral imaging and machine learning K Loggenberg, A Strever, B Greyling, N Poona Remote Sensing 10 (2), 202, 2018 | 106 | 2018 |
| Random forest (RF) wrappers for waveband selection and classification of hyperspectral data NK Poona, A Van Niekerk, RL Nadel, R Ismail Applied spectroscopy 70 (2), 322-333, 2016 | 56 | 2016 |
| Investigating 2-D and 3-D proximal remote sensing techniques for vineyard yield estimation C Hacking, N Poona, N Manzan, C Poblete-Echeverrķa Sensors 19 (17), 3652, 2019 | 42 | 2019 |
| A synthesizing land-cover classification method based on Google Earth engine: A case study in Nzhelele and Levhuvu Catchments, South Africa H Zeng, B Wu, S Wang, W Musakwa, F Tian, ZE Mashimbye, N Poona, ... Chinese Geographical Science 30, 397-409, 2020 | 39 | 2020 |
| Discriminating the occurrence of pitch canker fungus in Pinus radiata trees using QuickBird imagery and artificial neural networks NK Poona, R Ismail Southern Forests: a Journal of Forest Science 75 (1), 29-40, 2013 | 35 | 2013 |
| Using Boruta-Selected Spectroscopic Wavebands for the Asymptomatic Detection of Fusarium Circinatum Stress NK Poona, R Ismail IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 34 | 2014 |
| Investigating the utility of oblique tree-based ensembles for the classification of hyperspectral data N Poona, A Van Niekerk, R Ismail Sensors 16 (11), 1918, 2016 | 25 | 2016 |
| Invasive alien plant species in South Africa: Impacts and management options N Poona Alternation 15 (1), 160-179, 2008 | 20 | 2008 |
| Survey of community livelihoods and landscape change along the Nzhelele and Levuvhu river catchments in Limpopo Province, South Africa W Musakwa, S Wang, F Wei, OL Malapane, MM Thomas, ... Land 9 (3), 91, 2020 | 17 | 2020 |
| Vineyard yield estimation using 2-D proximal sensing: A multitemporal approach C Hacking, N Poona, C Poblete-Echeverrķa International Viticulture and Enology Society, 2020 | 12 | 2020 |
| Reducing hyperspectral data dimensionality using random forest based wrappers NK Poona, R Ismail Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International …, 2013 | 11 | 2013 |
| Accuracy assessment of game-based crowdsourced land-use/land cover image classification T Pistorius, N Poona 2014 IEEE Geoscience and Remote Sensing Symposium, 4780-4783, 2014 | 8 | 2014 |
| Modelling forest canopy gaps using LiDAR-derived variables L Lombard, R Ismail, N Poona Geocarto international 34 (2), 179-193, 2019 | 7 | 2019 |
| Discriminating the occurrence of pitch canker infection in Pinus radiata forests using high spatial resolution QuickBird data and artificial neural networks NK Poona, R Ismail 2012 IEEE International Geoscience and remote sensing Symposium, 3371-3374, 2012 | 5 | 2012 |
| An investigation into using different satellite remote sensors and techniques to identify, map, monitor and predict the spread and distribution of some of the major current and … IZ Shezi, NK Poona Submitted to: Invasive Alien Species Programme (DAEA), 2010 | 5 | 2010 |
| Modelling forest species using Lidar-derived metrics of forest canopy gaps L Lombard, R Ismail, NK Poona South African Journal of Geomatics 9 (1), 31-43, 2020 | 3 | 2020 |
| Developing optimized spectral indices using machine learning to model Fusarium circinatum stress in Pinus radiata seedlings NK Poona, R Ismail Journal of Applied Remote Sensing 13 (3), 034515-034515, 2019 | 3 | 2019 |
| A feature selection approach for terrestrial hyperspectral image analysis K Loggenberg, N Poona South African Journal of Geomatics 9 (2), 302-320, 2020 | 2 | 2020 |
| Discriminating the early stages of Fusarium circinatum infection of Pinus radiata seedlings using high spectral resolution data NK Poona, R Ismail African Association of Remote Sensing of the Environment (AARSE) 2012, 2012 | 2 | 2012 |
| A remote sensing-machine learning framework for modelling forest health NK Poona Stellenbosch: Stellenbosch University, 2020 | | 2020 |
Riyad IsmailsappiVerified email at sappi.com
Riyad IsmailsappiVerified email at sappi.com