Assessment of Ensemble Classifiers Using the Bagging Technique for Improved Land Cover Classification of Multispectral Satellite Images Assessment of proposed approaches for bathymetry calculations using multispectral satellite images in shallow coastal/lake areas: a comparison of five models Assessment of Machine Learning Approaches for Bathymetry Mapping in Shallow Water Environments using Multispectral Satellite Images Comparative study of approaches to bathymetry detection in Nasser/Nubia Lake using multispectral SPOT-6 satellite imagery Bathymetry Determination from High Resolution Satellite Imagery Using Ensemble Learning Algorithms in Shallow Lakes: Case Study El-Burullus Lake Assessment of Machine Learning Algorithms for Automatic Benthic Cover Monitoring and Mapping Using Towed Underwater Video Camera and High-Resolution Satellite Images Towards Benthic Habitat 3D Mapping Using Machine Learning Algorithms and Structures from Motion Photogrammetry Semiautomated Mapping of Benthic Habitats and Seagrass Species Using a Convolutional Neural Network Framework in Shallow Water Environments Assessment of a Hybrid-Based Approach with a Random Forest Ensemble for Determination of Shallow Water Depths from Multispectral Satellite Images Automatic Semantic Segmentation of Benthic Habitats Using Images from Towed Underwater Camera in a Complex Shallow Water Environment Evaluating the Accuracy of the Global DEMs ASTER, SRTM and Elevation Data Derived from Google Earth Program in Urban Areas over Egypt Assessment of Using Very High Resolution Google Earth Satellite Images for Producing Urban Mapping