An Automated Method of Identifying Surface Coal Mining Disturbances by Autonomous Sample Generation (opens in new tab)

Rapid and timely identification of surface coal mining disturbances is important for mining governance and environmental sustainability analyses. However, automated methods for detecting mining disturbances remain inadequate because current studies require manual tasks, such as sample training or multiparameter settings, when they are applied to a new region. This article proposes an automated method for identifying mining disturbances using the Landsat time series. The method automatically a...