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Found 4 papers, 1 papers with code
High-resolution global irrigation prediction with Sentinel-2 30m data
An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts.
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources
Accurately estimating the snowpack in key mountainous basins is critical for water resource managers to make decisions that impact local and global economies, wildlife, and public policy.
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)
Prior machine learning studies on upscaling \textit{in situ} GPP to global wall-to-wall maps at sub-daily time steps faced limitations such as lack of input features at higher temporal resolutions and significant missing values.
Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning
We also find that utilizing relevant examples in few-shot learning for ELearn does not improve model performance.
