Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data

Klaus-Rudolf Kladny, Marco Milanta, Oto Mraz, Koen Hufkens, Benjamin D. Stocker

Abstract: Highlights•ConvLSTM models can forecast vegetation, conditioned on climate and topography.•Our models outperform published benchmarks for drought impact predictions.•This enables weather forecast-informed early warning of vegetation water stress.