Combining ENMAP Hyperspectral Imaging and Machine Learning for Land Use/Cover Classification

Abstract Imaging spectroscopy enables detailed recording of the Earth’s surface and ecosystems’ properties at a global level. Due to the specifications of the hyperspectral sensors, it becomes possible to utilize the hyperspectral data in a multitude of applications, among which the mapping, monitoring and understanding of land use and land cover (LULC). The Environmental Mapping and Analysis Program (EnMAP) is a German satellite mission that aims to monitor and characterize the Earth’s surface