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The use of RapidEye observations to map cropping systems in highly fragmented agro-ecological landscapes in Africa, , , , , , and . (June 2016)Maize pest and diseas mapping using RapidEye-based vegetation indices and machine learning methods, , , , and . (October 2016)Multi-pronged abundance prediction of bee pests' spatial proliferation in Kenya., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2024)Investigation of Maize Lethal Necrosis (MLN) severity and cropping systems mapping in agro-ecological maize systems in Bomet, Kenya utilizing RapidEye and Landsat-8 Imagery, , , , , , and . Geology, Ecology, and Landscapes, (January 2020)Wide-area mapping of invasive species propagation and containment zones in somaliland using phenometric trends and generalized linear modelling., , , , and . IGARSS, page 1103-1106. IEEE, (2017)Hand-held Spectrometry for Estimating Thrips (Fulmekiola Serrata) Incidence in Sugarcane., , , and . IGARSS (4), page 268-271. IEEE, (2009)Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya, , , , , , , and . Sensor, (2017)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., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)The Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping., , , , , , and . Remote. Sens., 7 (10): 13298-13318 (2015)