Description
This module is focused on quantitative disaster risk management with geospatial and data science, mainly using geographic information systems (GIS), remote sensing (e.g., satellite, drone, radar data) and machine learning or other relevant methods. Students will learn how to select appropriate geospatial data, prepare, process, and use them for decision-making for diverse disaster risk reduction applications. Students will be introduced to different geospatial and remote sensing data types to learn their properties and specific application areas in risk and disaster science and humanitarian crises. Students will also learn how to prepare and process GIS and remote sensing data using data science techniques to extract targeted information and evaluate the accuracy of the results. Applications will be in various topics, from monitoring natural hazard-induced disasters and conflicts to assessing their impact on urban and rural environments using an appropriate programming language and industry-standard software. In addition, emerging geospatial and data science topics will be introduced to familiarise students with future directions in the field.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
Ìý