Earth Surface Forecasting

5 papers with code • 2 benchmarks • 1 datasets

Conditional forecasting of future multi-spectral imagery.

Most implemented papers

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

earthnet2021/earthnet-model-intercomparison-suite 16 Apr 2021

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

earthnet2021/earthnet-model-intercomparison-suite 11 Dec 2020

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 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 12 Jul 2022

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 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.