. . "201800276" . "NHR_001" . "7"^^ . "196"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . "The course is based on student-centered learning principles, whereby students will be enabled to cut though the complexity of natural systems, risk situations and disaster scenarios in this case, and learn to identify relevant questions to understand complex systems. In a project-based setting students will work backwards from a disaster event to discover the genesis of the event through understanding of the conceptual elements. The aim is for students not only to learn about theoretical aspects of different hazard and disaster types, but to understand the conceptual links, and to gain the ability to apply the risk concepts to different contexts and scales. A further aim is to enable the students to identify relevant questions before sourcing answers, including from other ESA staff members. There will further be emphasis on presentations (including groups to each other) and critical discussion. At critical points students will receive lectures, but the course is more strongly aimed at self-discovery of relevant facts, concepts and methods. Select RS analysis methods will be taught in a practical setting, while others will be discovered as part of the group work. In addition, skills related to the use of different data acquisition techniques will be gained during a field excursion. With courses Q2.1 and 2.2 running in parallel, the teaching of different modelling techniques will be aligned with the introduction relevant key input data, and some classes will be done in a plenary setting, involving different NHR teachers. Research skills will also be incorporated into the course where appropriate, rather than taught in parallel."@en . . . . . . . . . "Compulsory for the ‘Natural Hazards and Disaster Risk Reduction’ (NHR) specialization of the ‘Geo- information Science and Earth Observation (M-GEO) programme. Students from other specializations and programmes should have introductory level experience with GIS and Remote Sensing, and a background in earth sciences, geography, environmental science, physics, data science, or civil engineering."@en . . . "1"^^ . "2" . "1B" . . . . . . . . . "2022-11-13T23:00:00Z"^^ . "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 core courses on basic RS and GIS principles, and expands it. The course aims at creating a knowledge base for the other hazard modelling and risk management courses and electives in the NHR specialization, by enabling the students to develop a solid understanding of the main geohazard types, 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 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 runs in parallel to the Statistically-based Hazard Modelling course (Q2.2), and both are closely coupled. Particular attention will be given to the generation of input data for hazard modelling, including image-based indices and topographic derivatives. Relevant background information on soils, geology and landforms as drivers of hazards will also be provided. Academic skills will be taught together with this course in an integrated manner."@en . "Introduction to Hazard and Risk"@en . . "Introduction to Hazard and Risk"@en . "Introduction to Hazard and Risk"@en . . "201800289" . "NHR_003" . "7"^^ . "196"^^ . "10"^^ . "2023-04-20T22:00:00Z"^^ . "f2f" . "The students will focus on the principles and modelling of selected natural hazards through a combination of theory, practicals, and hazard assessment project. Interactive lectures and tutorials in the form of group discussions are planned to facilitate the introduction and comprehension of critical scientific and engineering concepts. The flipped classroom technique will be used as a self-paced educational method to promote the personal involvement of the student in the learning process and to enhance independent thinking. The educational aim of this course is twofold: on one hand, to provide the students with a range of modelling tools in order to develop their practical and technical skills; and on the other, to promote their ability to reason well and to encourage their disposition to do so, at the moment of discussing modelling assumptions, suitability and limitations. These aims are planned to be achieved through supervised practicals and short individual or group assignments, in an initially guided and, later on, more independent environment. Sensitivity analysis of the models and comparison and interpretation of their results, (e.g. using different datasets, modelling techniques and parameters) are intended to trigger active exploration of and reasoning on the physical processes and simulations. Students are further encouraged to deepen into theory and practice with supplementary material to independently explore during the group projects."@en . . . . . . "core courses. This is an elective as part of track NHR,Compulsory for the ‘Natural Hazards and Disaster Risk Reduction’ (NHR) specialization of the ‘Geo-information Science and Earth Observation (M-GEO) programme.\nStudents from other specializations and programmes should have experience with GIS and Remote Sensing, and a background in earth sciences, geography, environmental science or civil engineering."@en . . . "5"^^ . "3" . "2A" . . . "2023-02-05T23:00:00Z"^^ . "The aim of this course is to enhance the student’s understanding of the physical processes that cause natural hazards, the methods and the physically-based modelling approaches for hazard analysis, to the point at which students are able to use them with their own data. As the processes of selected natural hazards, including flooding, landslides and earthquakes, are explained, the students will be introduced to fundamentals of the underpinning science and engineering. Model data requirements and data collection will be treated, as well as the evaluation of uncertainty of input data on simulation outputs. Modelling principles and assumptions, possibilities and limitations will be discussed with the aim that students can make a proper selection of models for a given situation and critically reflect on the results, in order to support hazard analysis as input to risk management and mitigation."@en . "Physically-based Hazard Modelling"@en . . "Physically-based Hazard Modelling"@en . "Physically-based Hazard Modelling"@en . . "201800304" . "NHR_004" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "f2f" . "hybrid" . "Students will be encouraged to find creative solutions in the use of models, data, and concepts taught as well as state-of-the-art literature and consultation of in-house experts. Introductory lectures are given by teachers that give an overview of the particular topic and guide students with respect to main methods and techniques. For most of the topics treated, an accompanying GIS exercise is offered, in which students can apply what was taught. The exercises contain also advanced sections, where students are further challenged to come up with new solutions. Answer sheets are provided for each of the exercises. Most of the exercises relate to RiskCity, a (partly) hypothetical case study city in a developing country that is exposed to multiple hazards (earthquakes, floods, landslides, technological hazards). Several larger case studies are included where students work in small groups on a particular problem in a real case study related to risk assessment. Students build up a portfolio of assignments. \n\nThe teaching approach contains:\n\n1 - Keynote lectures to introduce key concepts and principles\n\n2 - Supervised practicals to bring the knowledge into practice using a range of tools\n\n3 - Tutorials for personalized and plenary feedback and to explore more independently the use of knowledge and tools\n\n4 - Project work, either individual or group projects"@en . . . . . . "Compulsory for the ‘Natural Hazards and Disaster Risk Reduction’ (NHR) specialization of the ‘Geo-information Science and Earth Observation (M-GEO) programme.\nStudents from other specializations and programmes should have introductory level experience with GIS and Remote Sensing, and a background in earth sciences, geography, environmental science or civil engineering."@en . . . . . . . . . "9"^^ . "4" . "2B" . "2023-04-23T22:00:00Z"^^ . "The knowledge of hazardous processes and the ability to predict their occurrence in terms of intensity and frequency and their interaction are important requirements to quantify their impact on society. This module focuses on the analysis of the risk, its evaluation, and its use in decision making for different disaster management phases.\n\nThe assessment of risk is a very multi-disciplinary field, that requires knowledge on hazards (types, frequency, intensity, modeling methods), elements-at-risk (types, classification, data collection, quantification), vulnerabilities (physical, social, environmental, institutional), capacities (to predict, cope, and recover) and resilience. Risk could be expressed as qualitative classes, risk matrices, or quantified as expected losses (e.g. monetary values, population). \n\nQualitative and/or quantitative risk assessment is used as a basis for different types of decision-making by various stakeholders, with different objectives: evaluating different risk reduction planning alternatives; link meteorological forecasts with loss estimation in impact-based forecasting; analyze post-disaster reconstruction alternatives in order to “build-back-better”, and increase the resilience. From the perspective of a continuously changing world, driving forces such as climate change, socio-economic development, population growth, and land-use change will put pressure on society, and require that risk is analyzed for future scenarios in order to plan wisely."@en . "Disaster Risk Management"@en . . "Hazard and Risk Studio/Disaster Risk Management"@en . "Disaster Risk Management"@en . . "201800282" . "NHR_002" . "7"^^ . "196"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . "online" . "This course focuses on building the required understanding of natural hazards and the available approaches to map them and further predict their occurrence in space and time. This knowledge will be systematically acquired through short theoretical lectures followed by supervised practicals and tutorials that will expose students to the whole conceptual and modeling pipeline, from cloud-based inventory-making to data acquisition and ultimately to susceptibility and hazard assessment. To promote and make a constructive use of the diversity in the background of the students, each step of the course will also feature a peer-learning process where students with different training will share their knowledge to mutually benefit from each respective understanding of the lessons. At the end of each day, interactive quiz will be provided to monitor the growth of each student and provide support where needed. The learning process will be further supported by a group project assignment that will link together the content of the course. In fact, the automated mapping and the modelling techniques will be implemented and critically assessed in terms of their specific limitations and with respect to the final goal (inventory generation and susceptibility/hazard mapping)."@en . . . . . . ",Compulsory for the “Natural Hazards and Disaster Risk Reduction” (NHR) specialization of the “Geoinformation Science and Earth Observation” (M-GEO) programme. Students from other specializations and programmes should have introductory level experience with GIS and Remote Sensing, and a background in earth sciences, geography, environmental science or civil engineering.\n"@en . . . "3"^^ . "2" . "1B" . "2022-11-13T23:00:00Z"^^ . "The identification and assessment of natural hazards is a crucial component of disaster risk management. This course will focus on the modelling of natural hazards, with an emphasis on hydro-meteorological hazards (floods, landslides and erosion). Starting from the relevant natural phenomena and their causes, the generation of historical inventories of hazardous phenomena will be discussed. From the cloud-based generation of the hazard inventories and their interpretation, the course will expand on the main methods and tools to assess the susceptibility and hazard at different scales. The course will provide the foundation for predictive approaches with a particular focus given to statistical models of multivariate nature. The latter will combine the spatial and temporal dimensions. The use of empirical models will further investigate runout patterns to estimate areas under threat.\n\nThe course runs in parallel to the \"Introduction to Hazard and Risk\" course (Q2.1) where data input for hazard modelling are explained. The two course are closely coupled and part of the necessary knowledge for the \"Data-Driven Hazard modeling\" course will be gained in parallel through lessons and concepts explained in Q2.1."@en . "Data-driven Hazard Modelling"@en . . "Data-driven Hazard Modelling"@en . "Data-driven Hazard Modelling"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . "Specialisation" . "Natural Hazards and Disaster Risk Reducation"@en .