Pixel-based crop classification in Peru from Landsat 7 ETM+ images using a random forest model
Crop classification within large agricultural regions is challenging owing to the presence of crops with similar phenological variation and intra-class variability. The development of efficient and simple classification methods is needed for more accurate mapping, monitoring, and analysis of land-use categories.