This course will provide a fundamental introduction to natural hazards and the disaster risk concept, as well as the role of geomatics, in particular remote sensing (RS). It builds on the knowledge students gained in the foundation courses on basic RS and GIS principles as well as statistical methods, and expands it. The course aims at creating a knowledge base for the other hazard modelling and risk management courses and electives in the Disaster Resilience thematic line, by enabling the students to develop an understanding of the main geohazard types and their - mainly geomorphological - origins, and all relevant conceptual aspects of disaster risk. Students will learn how geo-information and geomatics tools are uniquely suited to study, monitor and quantify each aspect of risk and disasters. Following an introduction to the main hazard types and their core properties, students will work in groups to dissect past disaster events to discover the nature and properties of the underlying hazards and vulnerabilities, and learn how in particular RS provides comprehensive and specifically tailored means to gain insights into the risk components for different hazards and environmental settings. The course is mandatory for all 3 specialisations within Disaster Resilience (managing, modelling, data analysis), and is closely coupled with the course Introduction to Data-Driven Hazard Modelling (Q2.2). Particular attention will be given to the generation of input data for hazard modelling, including image-based indices and topographic derivatives, and information extracted from UAV/drone imagery. Relevant background information on soils, geology and landforms as drivers of hazards will also be provided. The course concludes with a section on risk reduction and resilience creation concepts.