Elfatih M. Abdel-Rahman
Orcid: 0000-0002-5694-0291
According to our database1,
Elfatih M. Abdel-Rahman
authored at least 15 papers
between 2009 and 2024.
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Bibliography
2024
A visual and spatial tool for tracking, mapping and forecasting the dispersal of biological control agents.
Softw. Impacts, 2024
2020
Is it possible to discern Striga weed (<i>Striga hermonthica</i>) infestation levels in maize agro-ecological systems using <i>in-situ</i> spectroscopy?
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm.
Remote. Sens., 2019
2018
Importance of Remotely-Sensed Vegetation Variables for Predicting the Spatial Distribution of African Citrus Triozid (<i>Trioza erytreae</i>) in Kenya.
ISPRS Int. J. Geo Inf., 2018
2017
Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya.
Sensors, 2017
Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models.
ISPRS Int. J. Geo Inf., 2017
Estimating Swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares (PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms.
Comput. Electron. Agric., 2017
Predicting stem borer density in maize using RapidEye data and generalized linear models.
Int. J. Appl. Earth Obs. Geoinformation, 2017
Wide-area mapping of invasive species propagation and containment zones in somaliland using phenometric trends and generalized linear modelling.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
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 Learning Algorithms.
Remote. Sens., 2016
2015
Performance of Support Vector Machines and Artificial Neural Network for Mapping Endangered Tree Species Using WorldView-2 Data in Dukuduku Forest, South Africa.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
The Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping.
Remote. Sens., 2015
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 dataset.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2010
Int. J. Appl. Earth Obs. Geoinformation, 2010
2009
Hand-held Spectrometry for Estimating Thrips (Fulmekiola Serrata) Incidence in Sugarcane.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009