240 citations · 387 across the 15 of their papers we have counts for
6 papers · 1 filter
Causal hybrid modeling with double machine learning
Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais +2
Hybrid modeling integrates machine learning with scientific knowledge to enhance interpretability, generalization, and adherence to natural laws. Nevertheless, equifinality and reg…
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs
Claire Robin, Christian Requena-Mesa, Vitus Benson +4
Forecasting the state of vegetation in response to climate and weather events is a major challenge. Its implementation will prove crucial in predicting crop yield, forest damage, o…
On the Generalization of Agricultural Drought Classification from Climate Data
Julia Gottfriedsen, Max Berrendorf, Pierre Gentine +4
Climate change is expected to increase the likelihood of drought events, with severe implications for food security. Unlike other natural disasters, droughts have a slow onset and…
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
Christian Requena-Mesa, Vitus Benson, Markus Reichstein +2
Satellite images are snapshots of the Earth surface. We propose to forecast them. We frame Earth surface forecasting as the task of predicting satellite imagery conditioned on futu…
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
Christian Requena-Mesa, Vitus Benson, Joachim Denzler +2
Climate change is global, yet its concrete impacts can strongly vary between different locations in the same region. Seasonal weather forecasts currently operate at the mesoscale (…
A Perspective on Gaussian Processes for Earth Observation
Gustau Camps-Valls, Dino Sejdinovic, Jakob Runge +1
Earth observation (EO) by airborne and satellite remote sensing and in-situ observations play a fundamental role in monitoring our planet. In the last decade, machine learning and…