Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data EM Abdel-Rahman, FB Ahmed, R Ismail International Journal of Remote Sensing 34 (2), 712-728, 2013 | 264 | 2013 |
Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers EM Abdel-Rahman, O Mutanga, E Adam, R Ismail ISPRS Journal of Photogrammetry and Remote Sensing 88, 48-59, 2014 | 220 | 2014 |
Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu–Natal, South Africa KY Peerbhay, O Mutanga, R Ismail ISPRS Journal of Photogrammetry and Remote Sensing 79, 19-28, 2013 | 178 | 2013 |
Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP EM Adam, O Mutanga, D Rugege, R Ismail International Journal of Remote Sensing 33 (2), 552-569, 2012 | 170 | 2012 |
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, E Adam, R Ismail Sensors 14 (8), 15348-15370, 2014 | 149 | 2014 |
A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa R Ismail, O Mutanga International Journal of Applied Earth Observation and Geoinformation 12 …, 2010 | 144 | 2010 |
Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression E Adam, O Mutanga, EM Abdel-Rahman, R Ismail International journal of remote sensing 35 (2), 693-714, 2014 | 138 | 2014 |
A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data EM Abdel-Rahman, O Mutanga, J Odindi, E Adam, A Odindo, R Ismail Computers and Electronics in Agriculture 106, 11-19, 2014 | 113 | 2014 |
Random Forests Unsupervised Classification: The Detection and Mapping of Solanum mauritianum Infestations in Plantation Forestry Using Hyperspectral Data KY Peerbhay, O Mutanga, R Ismail Selected Topics in Applied Earth Observations and Remote Sensing 8 (6), 3107 …, 2015 | 99 | 2015 |
Investigating the Capability of Few Strategically Placed Worldview-2 Multispectral Bands to Discriminate Forest Species in KwaZulu-Natal, South Africa KY Peerbhay, O Mutanga, R Ismail Selected Topics in Applied Earth Observations and Remote Sensing 7 (1), 307 …, 2014 | 88 | 2014 |
Mapping Solanum mauritianum plant invasions using WorldView-2 imagery and unsupervised random forests K Peerbhay, O Mutanga, R Lottering, R Ismail Remote Sensing of Environment 182, 39-48, 2016 | 85 | 2016 |
Quantifying aboveground biomass in African environments: A review of the trade-offs between sensor estimation accuracy and costs R Dube, T, Mutanga, O, and Ismail Tropical Ecology 57 (3), 393-405, 2016 | 84 | 2016 |
Mapping forest aboveground biomass in the reforested Buffelsdraai landfill site using texture combinations computed from SPOT-6 pan-sharpened imagery ST Hlatshwayo, O Mutanga, RT Lottering, Z Kiala, R Ismail International Journal of Applied Earth Observation and Geoinformation 74, 65-77, 2019 | 73 | 2019 |
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, EM Abdel-Rahman, R Ismail, R Slotow International Journal of Remote Sensing 36 (14), 3751-3772, 2015 | 70 | 2015 |
Mapping Bugweed (Solanum mauritianum) Infestations in Pinus patula Plantations Using Hyperspectral Imagery and Support Vector Machines JT Atkinson, R Ismail, M Robertson Selected Topics in Applied Earth Observations and Remote Sensing 7 (1), 17 - 28, 2014 | 69 | 2014 |
Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification C Adjorlolo, O Mutanga, MA Cho, R Ismail International Journal of Applied Earth Observation and Geoinformation, 2012 | 65 | 2012 |
Modeling the Potential Distribution of Pine Forests Susceptible to Sirex Noctilio Infestations in Mpumalanga, South Africa R Ismail, O Mutanga, L Kumar Transactions in GIS 14 (5), 709-726, 2010 | 63 | 2010 |
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 | 62 | 2016 |
Drought influence on forest plantations in Zululand, South Africa, using MODIS time series and climate data S Xulu, K Peerbhay, M Gebreslasie, R Ismail Forests 9 (9), 528, 2018 | 58 | 2018 |
Challenges and opportunities in the use of remote sensing for C3 and C4 grass species discrimination and mapping C Adjorlolo, O Mutanga, MA Cho, R Ismail African Journal of Range & Forage Science 29 (2), 47-61, 2012 | 56 | 2012 |