Elfatih M. Abdel-Rahman
Elfatih M. Abdel-Rahman
Department of Agronomy, Faculty of Agriculture, University of Khartoum
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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
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
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
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
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
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
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
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
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
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
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
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, 2017
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
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
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
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
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
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
A new ophiolite occurrence in NW Sudan–constraints on Late Proterozoic tectonism
EMA Rahman, U Harms, H Schandelmeier, G Franz, DPF Darbyshire, ...
Terra Nova 2 (4), 363-376, 1990
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
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