Plastic-covered greenhouses mapping in Morocco with Google Earth engine: Comparing Sentinel-2 and Landsat-8 data using pixel-and object-based methods
With the ever-increasing demand for food production, monitoring plastic-covered
greenhouse (PCG) spatiotemporal distribution accurately holds significant importance for
monitoring agricultural expansion and environmental impacts. For this purpose, in this
paper, we used a random forest (RF) algorithm to produce multi-temporal PCGs maps in
three different intensive agricultural Moroccan areas (Loukkos (LS), Gharb (GB), and Souss-
Mass (SM)). Two classification approaches, object-based (OB) and pixel-based (PB), were …
greenhouse (PCG) spatiotemporal distribution accurately holds significant importance for
monitoring agricultural expansion and environmental impacts. For this purpose, in this
paper, we used a random forest (RF) algorithm to produce multi-temporal PCGs maps in
three different intensive agricultural Moroccan areas (Loukkos (LS), Gharb (GB), and Souss-
Mass (SM)). Two classification approaches, object-based (OB) and pixel-based (PB), were …
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