HIGHLIGHTS
SUMMARY
Changes in land use and land cover of rural and connected urban areas are a major consequence of global environmental change, which itself is driven by population growth that puts traditional land use, as well as land cover and related ecosystem services, under pressure. Its value is further increased by the recent incorporation of machine_learning, such as Support Vector Machine (SVM) and artificial_intelligence approaches for image analysis and the classification of features using machine_learning. As the area of Water is very small in the semi-arid study region and the definition of forest and . . .
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