| Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers E Adam, O Mutanga, J Odindi, EM Abdel-Rahman International Journal of Remote Sensing 35 (10), 3440-3458, 2014 | 476 | 2014 |
| 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 | 255 | 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 | 207 | 2014 |
| The application of remote sensing techniques to sugarcane (Saccharum spp. hybrid) production: a review of the literature EM Abdel‐Rahman, FB Ahmed International Journal of Remote Sensing 29 (13), 3753-3767, 2008 | 168 | 2008 |
| 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 | 132 | 2014 |
| Performance of support vector machines and artificial neural network for mapping endangered tree species using WorldView-2 data in Dukuduku forest, South Africa G Omer, O Mutanga, EM Abdel-Rahman, E Adam IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 124 | 2015 |
| Estimation of sugarcane leaf nitrogen concentration using in situ spectroscopy EM Abdel-Rahman, FB Ahmed, M Van den Berg International Journal of Applied Earth Observation and Geoinformation 12 …, 2010 | 116 | 2010 |
| 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 | 105 | 2014 |
| Application of hyperspectral remote sensing for flower mapping in African savannas T Landmann, R Piiroinen, DM Makori, EM Abdel-Rahman, S Makau, ... Remote Sensing of Environment 166, 50-60, 2015 | 91 | 2015 |
| Prediction of breeding regions for the desert locust Schistocerca gregaria in East Africa E Kimathi, HEZ Tonnang, S Subramanian, K Cressman, ... Scientific Reports 10 (1), 11937, 2020 | 89 | 2020 |
| Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using WorldView-2 image as an independent test … O Mutanga, E Adam, C Adjorlolo, EM Abdel-Rahman International Journal of Applied Earth Observation and Geoinformation 34 …, 2015 | 80 | 2015 |
| Potential distribution of fall armyworm in Africa and beyond, considering climate change and irrigation patterns B Paudel Timilsena, S Niassy, E Kimathi, EM Abdel-Rahman, ... Scientific reports 12 (1), 539, 2022 | 78* | 2022 |
| Detecting the early stage of phaeosphaeria leaf spot infestations in maize crop using in situ hyperspectral data and guided regularized random forest algorithm E Adam, H Deng, J Odindi, EM Abdel-Rahman, O Mutanga Journal of Spectroscopy 2017 (1), 6961387, 2017 | 73 | 2017 |
| Bioecology of fall armyworm Spodoptera frugiperda (J. E. Smith), its management and potential patterns of seasonal spread in Africa S Niassy, MK Agbodzavu, E Kimathi, B Mutune, EFM Abdel-Rahman, ... PloS one 16 (6), e0249042, 2021 | 68 | 2021 |
| Global Habitat Suitability of Spodoptera frugiperda (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control GT Tepa-Yotto, HEZ Tonnang, G Goergen, S Subramanian, E Kimathi, ... Insects 12 (4), 273, 2021 | 67 | 2021 |
| Measuring and modelling crop yield losses due to invasive insect pests under climate change HEZ Tonnang, BM Sokame, EM Abdel-Rahman, T Dubois Current Opinion in Insect Science 50, 100873, 2022 | 66 | 2022 |
| 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 | 65 | 2015 |
| Empirical prediction of leaf area index (LAI) of endangered tree species in intact and fragmented indigenous forests ecosystems using WorldView-2 data and two robust machine … G Omer, O Mutanga, EM Abdel-Rahman, E Adam Remote Sensing 8 (4), 324, 2016 | 63 | 2016 |
| Predicting spatial distribution of key honeybee pests in Kenya using remotely sensed and bioclimatic variables: Key honeybee pests distribution models DM Makori, AT Fombong, EM Abdel-Rahman, K Nkoba, J Ongus, J Irungu, ... ISPRS International Journal of Geo-Information 6 (3), 66, 2017 | 62 | 2017 |
| Predicting the spatial suitability distribution of Moringa oleifera cultivation using analytical hierarchical process modelling T Tshabalala, B Ncube, HP Moyo, EM Abdel-Rahman, O Mutanga, ... South African Journal of Botany 129, 161-168, 2020 | 46 | 2020 |
Onisimo MutangaProfessor of Remote Sensing, University of KwaZulu-NatalVerified email at ukzn.ac.za
