. . "5.0" . "140.0" . "10.0" . . . . . . . . . . . . . . "Foundation, CORE Book"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "4.0" . "2.0" . "Remote sensing is a unique tool to observe the Earth system, and to quantitatively monitor a variety of key atmospheric, land and ocean variables by measuring radiation reflected or emitted by the earth or atmosphere. With the availability of more and more remote sensing data from various types of instruments with different spectral characteristics, temporal and spatial resolutions, the field of quantitative land remote sensing is advancing rapidly. This course provides an overview of Earth Observation from Space by describing basic concepts of orbits and viewing from space, instrument characteristics as well as exploring the electromagnetic radiation ranges used by remote sensing devices, like in the VIS, NIR, SWIR, TIR atmospheric windows and active and passive Microwave regions, but also within atmospheric absorption bands. Radiative transfer equation and atmospheric correction for signal correction are discussed and practised. \n\nAttention is given to space and ground segments, operational (meteorological) satellite programmes within the ocean and sea ice, land and atmospheric domains and the retrieval of various space based observations of geophysical variables and their availability in cloud repositories and online processing platforms, and their retrieval.\n\nAlso attention is given to calibration and validation, related to instrument calibration (before launch, on board and vicarious calibration) but also to bias adjustment of long term data records and the need of validation when using the geophysical variables obtained through space based observations. "@en . "Quantitative Remote Sensing 5 EC Resource Security"@en . . "Quantitative Remote Sensing 5 EC Resources Security"@en . "Quantitative Remote Sensing 5 EC Resource Security"@en . . "5.0" . "140.0" . "10.0" . . . . . . . . . . . . . "CORE MODULE"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "4.0" . "2.0" . "Water and energy are fundamental for life on Earth, their variations, trends, and extremes are sources for drought extremes, heat waves, heavy rains, floods, and intensive storms that are increasingly threatening our society to cause havoc as the climate changes. Better observations and analysis of these phenomena will help improve our ability to understand their physical processes and to model and predict them. Earth Observation technology is a unique tool to provide a global understanding of essential water and energy variables and monitor their evolution from global to basin scales. The focus of this course is on the physical principles of how electromagnetic signals are applied to monitor these essential variables by spaceborne sensors, and learn tools and methods to collect, process, and visualize Earth observation data of surface solar radiation, evapotranspiration, precipitation, soil moisture, and terrestrial water storage. Furthermore, students will learn how to retrieve the essential water/climate variable – soil moisture from Earth observation data, applying the radiative transfer theory."@en . "Water Cyle in the anthropocene"@en . . "Water Cyle in the anthropocene"@en . "Water Cyle in the anthropocene"@en . . "2.5" . "70.0" . "5.0" . . . . . . "blended" . . . . . . . . . . . . . . . . "Basic land and urban futures concepts (course ULF 1), Spatial data handling (courses FC 1 and FC2), basic programming concepts (course FC3)"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "4.0" . "3.0" . "With expanding urban settlements, increasing demand for resources, and exacerbating environmental challenges, the complexity of future urban and regional systems is expected to increase. Information systems for planning and managing land use policy implementation will therefore become indispensable tools in the urban planning and land administration toolboxes. In this course students learn to think in systems terms and use systems analysis and design methods to not only describe the functionality of an information system but, perhaps more importantly, to describe the data, information structures, processes, states, and state evolutions of interest within the urban and/or regional system under consideration. The course introduces the software process as a project implementation methodology. Analysis and design approaches are introduced in the context of this overarching structure. First students will learn to analyse requirements documents to conceptualize a system's purpose and boundary. Additional information from the domain and requirements documents will be used to develop a conceptual model of the domain and identify user actions and processes within the domain. UML class diagrams will be used to structure concepts. UML use case diagrams and activity diagrams will be used to analyse user intentions, actions, and the information system's responses. Finally UML state machines will allow student to describe the set of states that can be occupied by all or part of the system being modelled. The modeling constructs introduced are applicable to both the information system and the real world domain. Examples will help clarify how to apply the tool in both contexts. "@en . "Designing Urban & Land Information Systems"@en . . "Designing Urban & Land Information Systems"@en . "Designing Urban & Land Information Systems"@en . . . . . . . . . . . . "EO for SM"@en . "Water Cyle in the anthropocene: LU4"@en . . . . . . . . . "Calibration and validation"@en . "Quantitative Remote Sensing 5 EC Resources Security: LU5"@en . . . . . . . . . . . . . "Developing Information Systems"@en . "Designing Urban & Land Information Systems: LU2"@en . . . . "MGEO 5.0 BoK"@en . . "validation"@en