Soil moisture (SM) droughts pose significant threats to water resources, agricultural productivity, and food security. To mitigate these impacts, reliable long-term drought forecasts are essential.

We developed The AIDE (open-source toolbox) for Detecting and Understanding Extreme Events!

Recognizing real-world low-likelihood high-impact drought events is exceptionally significant. Historically, the impacts of extreme droughts have spanned across ages, triggering devastating consequences such as the collapse of ancient civilizations, forced human migrations, and massive loss of life.

Deep learning (DL) has profoundly transformed Hyperspectral Image (HSI) classification by capturing robust features in an end-to-end manner. However, traditional DL models face significant hurdles, including the need for massive amounts of labeled data and the manual tuning of complex structural hyperparameters.