Earth Surface Forecasting On Earthnet2021 1
Metrics
EarthNetScore
Results
Performance results of various models on this benchmark
Model Name | EarthNetScore | Paper Title | Repository |
|---|---|---|---|
| SGEDConvLSTM | 0.1790 | Deep learning for satellite image forecasting of vegetation greenness | |
| Persistence Baseline | 0.2676 | EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task | - |
| SGConvLSTM | 0.2162 | Deep learning for satellite image forecasting of vegetation greenness | |
| Channel-U-Net Baseline | 0.1955 | EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task | - |
| Arcon Baseline | 0.1587 | EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task | - |
| Diaconu ConvLSTM | 0.2193 | Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model | - |
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