Monitoring forests, in particular their response to climate and land use change, requires studying long time scales. While efficient deep learning methods have been developed to process short time series of satellite imagery, leveraging long time series of ...
As a result of global warming, the upper limit of alpine forests is expected to shift to higher altitudes. This threatens the habitat of numerous endemic plant species located in the alpine grasslands above. Anticipating the timing and pace of treeline shi ...
Forest maps are essential to understand forest dynamics. Due to the increasing availability of remote sensing data and machine learning models like convolutional neural networks, forest maps can these days be created on large scales with high accuracy. Com ...
