Drought Impact

Drought impact research focuses on understanding and quantifying the effects of drought across various sectors, aiming to improve prediction and mitigation strategies. Current research employs machine learning techniques, such as XGBoost and BERT-based models, to analyze diverse data sources, including satellite imagery, social media (e.g., Twitter), and traditional drought indices (e.g., SPI), to identify drought impacts on agriculture, ecosystems, and society. These advancements enable more accurate and timely assessments of drought severity and its consequences, facilitating improved drought monitoring and risk management. The resulting insights are crucial for informing policy decisions and developing effective drought preparedness and response plans.