. . . . "ITC Bok"@en . . "NRM_002" . . . . . . . . . . . . . . . . . . . . . . "From Data to Geo-information for Natural Resources Management"@en . "201800284" . "7"^^ . "196"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . "hybrid" . "The main component of the course is an NRM case study, which requires the definition of a prototype data processing chain adapted to the specific characteristics of the NRM problem under consideration.\n\nDuring the course, students will be guided in the development of this prototype data processing chain through lectures, tutorials and supervised practical. At the end of each week, students have to submit an individual assignment related to the definition of one component of the prototype (e.g., conceptual design, EO and GIS database, etc.). During the process, students can interact with their peers and course staff to define the processing chain and implement the prototype version in GEE."@en . . . . . . . "CORE_001, CORE_002, CORE_004, RS, GIS, concepts of NRM, and systems-based thinking. Students should have some GIS and remote sensing background. "@en . . . . . . . . . "5"^^ . "2" . "3" . "4" . "1B" . . . . . "2022-11-13T23:00:00Z"^^ . "Sound natural resource management requires adequate geoinformation describing the spatial and temporal dimensions of ecosystems. This involves - in most cases - large datasets from multiple sources and stakeholders from different disciplines and institutions. The collection of these data and the definition of ad-hoc automatic data processing chains are nowadays necessary to support planning or management activities of a forest, agricultural or ecological systems.\n\nDuring this course, the student will learn the basic concepts for the conceptual design and development of a prototype data processing chain based on Earth Observation (EO) and Geographic Information Systems (GIS) to support planning and decision-making in Natural Resource Management (NRM) situations. Upon completion, students will acquire the knowledge and skills necessary for the collection, preparation, processing and interpretation of spatial information provided by EO and GIS data to address a specific NRM problem.\n\nAt the end of the course, the student should be able to execute simple scripts, make minor modifications and search online for existing scripts to design a basic processing chain. The developed prototype must be presented, explained and justified in the final report."@en . "From data to geo-information for natural resources management"@en . "From Data to Geo-info for NRM"@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 . . . . . . . . . . "Derive essential water and energy variables from Earth Observation data with focus on ET, PCP and SM"@en . "https://ltb.itc.utwente.nl/page/792/concept/152885" . . "Earth observation data"@en