. . . "Examine problems in biodiversity conservation, forest management and food security analysis considering the scale of observation and information requirements"@en . . "Examine problems in biodiversity conservation, forest management and food security analysis considering the scale of observation and information requirements"@en . . . "Defend a work flow using hierarchy theory that generates a vegetation type map for the Lemele study area"@en . . "Defend a work flow using hierarchy theory that generates a vegetation type map for the Lemele study area"@en . . . "Design a sampling strategy and use it for the accuracy assessment of an image-based map"@en . . "Design a sampling strategy and use it for the accuracy assessment of an image-based map"@en . . . "Select a specific analytical method based on its effectiveness, reliability, validity, efficiency and usability to generate an image-based map"@en . . "Select a specific analytical method based on its effectiveness, reliability, validity, efficiency and usability 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 . . "Justify the application of an Earth observation dataset based on its spatial, temporal, radiometric and spectral resolution to generate an image-based map"@en . . "https://ltb.itc.utwente.nl/page/792/concept/152732" . . "Remote sensing"@en . . . . . . . . . . . . . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152756" . . "Biodiversity"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152764" . . "Sensor-specific analytical techniques"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152782" . . "Forestry"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152798" . . "Sampling statistics"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152852" . . "Agriculture"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152898" . . "Field methods"@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 . . . . . . . . . . . . "Natural Resource Management"@en . "NRM"@en . . . "QGIS"@en . . . "Course"@en . "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 Manag