monteirotaide23-cloud/Water_Management_Mozambique

Using Earth Observation and Data Science to support sustainable water management in Mozambique. # Using Earth Observation and Data Science to Support Sustainable Water Management in Mozambique ## Overview This project explores how Earth Observation and Data Science can be combined to support sustainable water management in Mozambique. The project aims to integrate satellite-derived information, meteorological data, and data-driven methods to monitor environmental conditions, assess water availability, and support informed decision-making for agriculture and water-resource management. ## Objectives - Explore Earth Observation data relevant to water and agriculture. - Analyse meteorological and environmental data using Python. - Investigate indicators related to water availability and vegetation conditions. - Develop data-driven approaches to support sustainable water management. - Create accessible visualisations and tools that can help transform scientific data into practical solutions. ## Technologies - Python - Pandas - NumPy - Matplotlib - Earth Observation data - Meteorological data - Data Science ## Project Status This project is currently under development. ## Author Nilza Monteiro Taíde