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Earth Surface Forecasting On Earthnet2021
Metrics
EarthNetScore
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| SGConvLSTM | 0.2740 | Deep learning for satellite image forecasting of vegetation greenness | - |
| SGEDConvLSTM | 0.2595 | Deep learning for satellite image forecasting of vegetation greenness | - |
| Channel-U-Net Baseline | 0.2364 | EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task | |
| Arcon Baseline | 0.2215 | EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task | |
| Diaconu ConvLSTM | 0.2140 | Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model | - |
| Persistence Baseline | 0.1939 | EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task |
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