Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images
Titel:
Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images
Auteur:
Zhou, Tao Geng, Yajun Ji, Cheng Xu, Xiangrui Wang, Hong Pan, Jianjun Bumberger, Jan Haase, Dagmar Lausch, Angela