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Papers/EarthNet2021: A large-scale dataset and challenge for Eart...

EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task

Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler

2021-04-16Video PredictionCrop Yield PredictionTime Series ForecastingEarth Surface ForecastingVideo Forensics
PaperPDFCodeCode(official)

Abstract

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 future weather. EarthNet2021 is a large dataset suitable for training deep neural networks on the task. It contains Sentinel 2 satellite imagery at 20m resolution, matching topography and mesoscale (1.28km) meteorological variables packaged into 32000 samples. Additionally we frame EarthNet2021 as a challenge allowing for model intercomparison. Resulting forecasts will greatly improve (>x50) over the spatial resolution found in numerical models. This allows localized impacts from extreme weather to be predicted, thus supporting downstream applications such as crop yield prediction, forest health assessments or biodiversity monitoring. Find data, code, and how to participate at www.earthnet.tech

Results

TaskDatasetMetricValueModel
VideoEarthNet2021 IID TrackEarthNetScore0.2902Channel-U-Net Baseline
VideoEarthNet2021 IID TrackEarthNetScore0.2803Arcon Baseline
VideoEarthNet2021 IID TrackEarthNetScore0.2625Persistence Baseline
VideoEarthNet2021 Seasonal TrackEarthNetScore0.2676Persistence Baseline
VideoEarthNet2021 Seasonal TrackEarthNetScore0.1955Channel-U-Net Baseline
VideoEarthNet2021 Seasonal TrackEarthNetScore0.1587Arcon Baseline
VideoEarthNet2021 OOD TrackEarthNetScore0.2854Channel-U-Net Baseline
VideoEarthNet2021 OOD TrackEarthNetScore0.2655Arcon Baseline
VideoEarthNet2021 OOD TrackEarthNetScore0.2587Persistence Baseline
VideoEarthNet2021 Extreme TrackEarthNetScore0.2364Channel-U-Net Baseline
VideoEarthNet2021 Extreme TrackEarthNetScore0.2215Arcon Baseline
VideoEarthNet2021 Extreme TrackEarthNetScore0.1939Persistence Baseline
Video PredictionEarthNet2021 IID TrackEarthNetScore0.2902Channel-U-Net Baseline
Video PredictionEarthNet2021 IID TrackEarthNetScore0.2803Arcon Baseline
Video PredictionEarthNet2021 IID TrackEarthNetScore0.2625Persistence Baseline
Video PredictionEarthNet2021 Seasonal TrackEarthNetScore0.2676Persistence Baseline
Video PredictionEarthNet2021 Seasonal TrackEarthNetScore0.1955Channel-U-Net Baseline
Video PredictionEarthNet2021 Seasonal TrackEarthNetScore0.1587Arcon Baseline
Video PredictionEarthNet2021 OOD TrackEarthNetScore0.2854Channel-U-Net Baseline
Video PredictionEarthNet2021 OOD TrackEarthNetScore0.2655Arcon Baseline
Video PredictionEarthNet2021 OOD TrackEarthNetScore0.2587Persistence Baseline
Video PredictionEarthNet2021 Extreme TrackEarthNetScore0.2364Channel-U-Net Baseline
Video PredictionEarthNet2021 Extreme TrackEarthNetScore0.2215Arcon Baseline
Video PredictionEarthNet2021 Extreme TrackEarthNetScore0.1939Persistence Baseline

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