. . . "Perform a coupled water, energy, carbon dynamics analysis on an area of interest, using a blend of satellite, in-situ and global atmospheric and weather forecast model datasets."@en . . "Perform a coupled water, energy, carbon dynamics analysis on an area of interest, using a blend of satellite, in-situ and global atmospheric and weather forecast model datasets."@en . . . "Perform model-based analysis of water and biogeochemical budgets on an ecosystem of choice (e.g. a soil-vegetation or an aquatic e.g. coastal system) - using group work (incl. presentation and reporting)"@en . . "Perform model-based analysis of water and biogeochemical budgets on an ecosystem of choice (e.g. a soil-vegetation or an aquatic e.g. coastal system) - using group work (incl. presentation and reporting)"@en . . . "Analyse greenhouse gas emissions from earth observation sensors and other e.g. in-situ data (and report for an area of interest)"@en . . "Analyse greenhouse gas emissions from earth observation sensors and other e.g. in-situ data (and report for an area of interest)"@en . . . "Quantify water, energy and carbon budgets and partitioning in- and outflows (e.g. evapotranspiration, streamflow, net primary productivity) in the atmosphere-vegetation-soil zone and/or aquatic systems"@en . . "Quantify water, energy and carbon budgets and partitioning in- and outflows (e.g. evapotranspiration, streamflow, net primary productivity) in the atmosphere-vegetation-soil zone and/or aquatic systems"@en . . . "Access and use large satellite datasets and retrieve variables for a region of interest using Open Source programming tools."@en . . "Access and use large satellite datasets and retrieve variables for a region of interest using Open Source programming tools."@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 . . . . "Course"@en . "201800313" . "WRS_0005" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "f2f" . "Learning outcomes 1, 2, 3: Participatory teaching with targeted individual assignments\nLearning outcome 4: Tutorial training and supervised practical\nLearning outcome 5: Group work supervision, question & answer sessions"@en . "4"^^ . "4" . "2B " . "2023-04-23T22:00:00Z"^^ . "This course will focus on the combined use of satellite and in-situ observations and models for environmental monitoring of terrestrial and aquatic ecosystems. Current satellite and data technology permit observation and quantification of energy and water cycle components. Carbon, primary productivity in ecosystems and greenhouse gas emissions can also be monitored from space. The course will address the challenge of understanding how energy, water and carbon cycles interact and are coupled in ecosystems and at the boundaries between land, water, and atmosphere. Methods for retrieval of radiation, water and biogeochemical variables from satellite data will be reviewed, and an introduction to the use and evaluation of currently available satellite data related to the water, energy and the biogeochemical (BGC) cycles will be given.\nSimulation models of soil - vegetation (e.g. agriculture) and aquatic systems (e.g., lakes, wetlands and coastal zones) will be used for analysis, interpretation and systems modelling of water, energy and biogeochemical processes. Field work and visits to one or more of ITC’s in-situ monitoring sites (in urban, forest, coastal estuarine, and marine locations) are foreseen."@en . "Water and Carbon Dynamics in Ecosystems"@en . "Water and Carbon Dynamics in Ecosystems"@en . "Water and Carbon Dynamics in Eco