. . "201800292" . "NRM_003" . "7"^^ . "196"^^ . "10"^^ . "2023-04-20T22:00:00Z"^^ . "f2f" . "online" . "The course takes a student-centered (inquiry-based) approach to teaching and learning. Students assume an active/participatory role in their education, while teachers are facilitators who encourage interaction with new material presented and reflective thinking. The teacher uses class discussions, hands-on practicals and other experiential learning tools to track student comprehension, learning needs and academic progress over a teaching unit. Three summative assessments (written exam + individual assignment + final group project) measure how well the students achieve higher order thinking and learning outcomes."@en . . . . . . "NRM_001 and NRM_002 are not prerequisites. Basic knowledge on and skills in remote sensing and GIS. ,Geo-Information Science and Earth Observation: A Systems-Based Approach\n\nSystems Approach for Management of Natural Resources (NRM specialization 2.1)\n\nFrom Data to Geo-Information for Natural Resources Management (NRM specialization 2.2)\n\nNRM_001 and NRM_002 are preferred. "@en . . . . . . . . . . "9"^^ . "3" . "2A" . . "2023-02-05T23:00:00Z"^^ . "The 21st century has witnessed an increase in the availability of Earth observation (EO) data and their use in addressing critical problems in natural resources management (NRM). The myriad of datasets and stakeholder needs can make the selection of a specific sensor and analytical technique to address a problem a daunting task. At the heart of this dilemma is the scale of observation at which we can effectively address the problem. Biophysical processes, flows or interactions can occur at the plant, canopy or regional scale. Similarly, image-based map products have a specific purpose. For example, food security analysts may want to know the location of crop field boundaries in an agroecosystem, while foresters may want to assess forest stand biomass.\n\nThe guiding principle of this course, therefore, is to use the scale observation together with stakeholder needs to select and apply an appropriate EO dataset and analytical technique to solve problems within the three NRS Forest, Agriculture and Environment in the Spatial Sciences (FORAGES) themes (biodiversity conservation, forest management and food security analysis). In the end, students will be able to design a workflow to address these problems that includes the appropriate selection of EO data and analytical techniques."@en . "Mapping and monitoring for natural resources management"@en . . "Mapping and monitoring for natural resources management"@en . "Mapping & Monitoring for NRM/EO for Natural Resources Management"@en . . . "Learning outcome"@en . . "Justify the application of an Earth observation dataset based on its spatial, temporal, radiometric and spectral resolution to generate an image-based map"@en . "Justify the application of an Earth observation dataset based on its spatial, temporal, radiometric and spectral resolution to generate an image-based map"@en .