… Furthermore, we investigate whether an ensemble machine learning pipeline provides
more accurate LULC classifications than single classifiers. Finally, we provide an in-depth …

… its kind to use machine learning algorithms in conjunction with a Land-use Regression (LUR…
and predictions, three LUR-based machine learning algorithms were used to estimate CO …

… Where possible, we will also compare the results to the land use in 1896 to see how the …
maps of land suitability produced by machine learning (ML) models trained on land use data …

… 3 MACHINE LEARNING FOR LAND-USE … "land use" used for us in the context of machine
learning - it is solely about how we can use a meaningful approach to classify “use” / “land-use…

… droughts, there is a need for Land Use Land Cover (LULC) mapping to … machine learning
classifiers, namely, Support Vector Machine (SVM) and Random Forest (RF), are used for land …

… In this study, we present a spatial method based on regression and machine learning to
resolve the three mentioned gaps. To resolve the first problem, this study uses a segment-based …

… soft computing models (machine learning and statistical regression… machine learning
model outperforms the regression model. The proposed models are an affordable and easy-to-use …

… land use and land cover (LULC) is suggested in this paper, which integrates both raster and
vector data using deep learning … dataset for identifying land use and land cover in Fayoum …

… image analysis with deep learning (FOBIA-DL) and machine learning algorithms for LULC
… the three well-known machine learning algorithms of support vector machine (SVM), random …

… the rate of change of Land use/Land cover (LULC) in various … Recently, application of
machine learning algorithms on RS (… the performance of different machine learning classifiers for …