<ul><li>DroughtSet is a new dataset that integrates relevant predictive features and three drought indices from multiple remote sensing and reanalysis datasets across the United States.</li><li>The dataset aims to provide the machine learning community with a benchmark to develop drought prediction models and time-series forecasting methods.</li><li>The researchers also propose a spatial-temporal model, SPDrought, that learns from the spatial and temporal information of physical and biological features to predict three types of droughts simultaneously.</li><li>The study provides insights into the predictability and sensitivity of droughts to biological and physical conditions, contributing to the understanding and mitigation of drought risks.</li></ul>

DroughtSet: Understanding Drought Through Spatial-Temporal Learning

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