. . "201800284" . "NRM_002" . "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-information for Natural Resources Management"@en . "From Data to Geo-info for NRM"@en . . . . . . . . . . . . . . . . . . . "90"^^ . . . . "true"^^ . . "Building an online geodatabase"@en . . "90"^^ . . . . "true"^^ . . "Introduction of online platforms"@en . . "90"^^ . . . . . . "true"^^ . . . "Building an online geodatabase"@en . . "90"^^ . . . . "true"^^ . . "Data acquisition - RS data"@en . . "90"^^ . . . . . . "true"^^ . . "Feedback session "@en . . "90"^^ . . . . "true"^^ . . "Updated project report"@en . . "90"^^ . . . . . "true"^^ . . "Filling the geodatabase, metadata."@en . . "90"^^ . . . . . . "true"^^ . . . "Filling the geodatabase, metadata."@en . . "180"^^ . . . . "true"^^ . . . "EO/GIS data collection (GEE)"@en . . "90"^^ . . . . . . "true"^^ . . . "Dataset Preparation "@en . . "90"^^ . . . . . . "true"^^ . . . "EO data collection "@en . . "90"^^ . . . . "true"^^ . . . "EO/ GIS data collection (GEE)"@en . . "3"^^ . "Apply"@en . . . . "Have a better idea where and how to access spatial data from existing global archives (including EO data)."@en . . "Apply global geo-data archives"@en . . "5"^^ . "Evaluate"@en . . . . "Check the accessibility of the data required for your case study."@en . . "Evaluate data accessibility"@en . . "3"^^ . "Apply"@en . . . . . . "Run simple GEE scripts (javascript) and make small modifications to them to prepare the datasets for your case study."@en . . "Apply GEE scripts, Incremental development, data preparation"@en . . "4"^^ . "Analyse"@en . . . . "Select the most suitable datasets for your case study."@en . . "Analyse data suitability"@en . . "2.0" . "Understand"@en . . . . "Describe the basic statistical concepts and terms."@en . . . . "Describe the basic statistical concepts and terms."@en . . "5.0" . "Evaluate"@en . . . . . . "Apply descriptive and inferential statistics to assess the quality of the data sources of your use cases."@en . . . . "Apply descriptive and inferential statistics to assess the quality of the data sources of your use cases."@en . . "3.0" . "Apply"@en . . . "Use graphs and numbers to display and describe the distribution of a variable"@en . . . . "Use graphs and numbers to display and describe the distribution of a variable"@en . . "5.0" . "Evaluate"@en . . . . . "Apply descriptive and inferential statistics to check your hypothesis and research questions."@en . . . . "Apply descriptive and inferential statistics to check your hypothesis and research questions."@en . . "2.0" . "Understand"@en . . . "Understand the concept of normal distributions"@en . . . . "Understand the concept of normal distributions"@en . . . . . "Learning unit"@en . "EO and GIS data collection and preparation"@en .