Earth Surface Forecasting
5 papers with code • 2 benchmarks • 1 datasets
Conditional forecasting of future multi-spectral imagery.
Benchmarks
These leaderboards are used to track progress in Earth Surface Forecasting
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EarthNet2021
Most implemented papers
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
We frame Earth surface forecasting as the task of predicting satellite imagery conditioned on future weather.
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
Here, we define high-resolution Earth surface forecasting as video prediction of satellite imagery conditional on mesoscale weather forecasts.
Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model
dcodrut/weather2land
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CVPR2022W 2022
Climate change is perhaps the biggest single threat to humankind and the environment, as it severely impacts our terrestrial surface, home to most of the living species.
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
amazon-science/earth-forecasting-transformer
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With the explosive growth of the spatiotemporal Earth observation data in the past decade, data-driven models that apply Deep Learning (DL) are demonstrating impressive potential for various Earth system forecasting tasks.
Deep learning for satellite image forecasting of vegetation greenness
rudolfwilliam/satellite_image_forecasting
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bioRxiv 2022
Here, we target the spatial and temporal variations of land surface reflectance and vegetation greenness, measuring the density of green vegetation and active foliage area, conditioned on current and past climate and the local topography.
