LEVERAGING INTERPRETABLE MACHINE LEARNING FOR DROUGHT MONITORING IN THE CANARY ISLANDS: A DATA-DRIVEN STUDY

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Sara Asadi, Horacio Pérez-Sánchez, Patricia Jimeno‐Sáez, Francisco José Segura-Méndez, Javier Senent‐Aparicio

DOI: 10.2139/ssrn.6173547

Cited by: 0

References: 20

Fields of Study & Subjects

Hydrology and Drought Analysis Hydrological Forecasting Using AI Environmental Monitoring and Data Management

References 20