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DTSTART;VALUE=DATE:20241111
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DTSTAMP:20260404T003803
CREATED:20240821T085941Z
LAST-MODIFIED:20240821T085941Z
UID:10001335-1731283200-1732924799@ddsa.dk
SUMMARY:From Point to Pixel: A Toolbox for Spatial Analysis and Mapping in Environmental Science
DESCRIPTION:Aim and content \nThis PhD course\, “From Point to Pixel\,” is designed to equip students with the essential tools and skills needed to transform ground truth sample data into high-resolution pixel-level estimates\, which can then be aggregated into comprehensive maps. The primary goal of the course is to provide students with the expertise necessary to quantify the spatial landscape accurately. These maps serve as crucial resources for making informed decisions related to\, for example\, biodiversity conservation or facilitating the transition to a greener society through sustainable forest management. \nKey Course Objectives: \nGround Truth Data Handling: Students will learn how to develop a sampling strategy\, collect\, organize\, and preprocess ground truth observations efficiently. This includes data cleaning\, quality control\, and geospatial data handling techniques. \nAdvanced Modeling Techniques: \nThe course will delve into advanced modeling methods that allow students to establish robust relationships between ground truth observations and remotely sensed variables. This includes statistical modeling\, machine learning\, and geospatial modeling approaches. \nPixel-Level Estimation: \nStudents will be introduced to relevant RS data to be used in combination with ground truthing and machine learning to generate pixel-level estimates\, enabling them to produce high-resolution maps that accurately represent the environmental parameters under study. \nSpatial Landscape Mapping: \nStudents will learn how to aggregate pixel-level estimates into comprehensive maps\, providing a detailed quantification of the spatial landscape. These maps can be used for various applications\, such as assessing habitat quality for biodiversity and estimating available wood resources for a sustainable green transition. \nBy the end of “From Point to Pixel\,” participants will possess a powerful toolbox of techniques and methodologies to produce accurate\, high-resolution maps that aid in biodiversity conservation\, sustainable wood resource management\, and other critical aspects of environmental science. This course equips students with the skills needed to make data-driven decisions and contribute to the development of a more sustainable and environmentally conscious society. \nLearning outcome \nKnowledge: \n\n… of remotely sensed datatypes and their strength and weaknesses.\n… of ground truth sampling designs and methodologies.\n… of methods for statistical modeling\, machine learning\, and geospatial modeling approaches.\n\n Skills: \n\nTo develop sampling strategies.\nTo collect\, organize\, and preprocess ground truth observations efficiently.\nTo generate maps from pixel-based remote sensing.\nTo make data-driven decisions for a sustainable society.\n\nCompetences: \n\nGround Truth Data Handling: Students will gain proficiency in developing effective sampling strategies\, collecting\, organizing\, and preprocessing ground truth observations efficiently.\nParticipants will acquire expertise in employing advanced modeling methods to establish robust relationships between ground truth observations and remotely sensed variables.\nThe course will equip students with the knowledge and skills necessary to utilize remote sensing data in conjunction with ground truthing and machine learning techniques to generate precise pixel-level estimates.\nParticipants will learn how to aggregate pixel-level estimates into comprehensive maps\, enabling detailed quantification of the spatial landscape. This involves understanding spatial patterns and processes\, as well as techniques for synthesizing and visualizing complex geospatial information. \n\nTeaching and learning methods \nA variety of teaching and learning methods are applied to reach the goals of the course: \nLectures: \nWe use lectures to provide students with tools necessary to engage in the practical exercises and project work. \nPractical exercises:  \nThroughout the course\, students will work on real-world case studies and projects to apply their knowledge and skills to solve environmental challenges. \nProject work: \nWe encourage students to bring a case study that they wish to work with during the course. \nType af assessment: \n Written assignment on own project or project handed out by the course responsible must be completed and approved by the course responsible. \nThere will be a course fee of DKK 700. The fee covers a course dinner during the lecture week and snacks\, fruit\, and coffee/tee served during course days. Lunch will be self-organized. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/from-point-to-pixel-a-toolbox-for-spatial-analysis-and-mapping-in-environmental-science/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
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DTSTART;VALUE=DATE:20240826
DTEND;VALUE=DATE:20240831
DTSTAMP:20260404T003803
CREATED:20240424T084146Z
LAST-MODIFIED:20240424T084146Z
UID:10001172-1724630400-1725062399@ddsa.dk
SUMMARY:Advanced Measurements and Analyses of Greenhouse Gas Fluxes from Soils and Ecosystems (AMAGS)
DESCRIPTION:Aim and content \nIt is critical for environmental scientists to quantify the major sources and sinks of the most important greenhouse gases (GHGs)\, CO2\, CH4 and N2O\, as well as to disentangle the processes involved in GHG production and consumption in terrestrial ecosystems. Such data and knowledge are essential for the development of national and international strategies for improved/optimized land use and climate mitigation. The course aims to teach future researchers how to use the newest\, manual and automated chamber technologies and state-of-the-art analytical tools for measuring and interpreting the GHG exchange between ecosystems and the atmosphere. \nThe chamber method is the most widely used for GHG flux measurements between ecosystems and the atmosphere: However\, manual chamber measurements are time consuming\, which hampers spatial and temporal data coverage and implementation of results in a larger context. Recent development in combining novel chamber designs with real-time GHG analyses now allows for automation of GHG flux measurements leading to a hundredfold increase in the number of measurements per unit of time. This technological development improves the temporal representation and resolution in data\, in turn helping researchers to improve their understanding of the soil and ecosystem processes governing the exchange of greenhouse gases with the atmosphere at temporal and spatial scales previously out of reach. On the other hand\, the much larger data sets produced with automated measurements also creates a need for automating data analytical procedures and quality control.  \nThe course will focus on developing the skill set for post-graduate students in measuring and analyzing the exchange of GHG’s between the soil/ecosystem and the atmosphere using newest chamber technologies. The course will highlight the conceptual\, technological and analytical challenges involved in obtaining the “true” measure of the GHG flux between an ecosystem and the atmosphere and how these data can be used to address fundamental knowledge gaps related to the processes involved in ecosystem GHG production and uptake and potential ecosystem feedback to climate and global changes. \nLearning outcome \nKnowledge:• describe commonly used chamber methods and equipment for measuring greenhouse gas fluxes from soils• demonstrate the field use of the chamber method • discuss theory of sampling design \nSkills:• work independently with the chamber methods under field conditions • evaluate the pros and cons of using specific designs to measure greenhouse gas fluxes• apply the sampling methodology in the field• design a problem-oriented scientific field sampling protocol for greenhouse gas fluxes \nCompetences:• project-oriented group work in the field• choose the correct techniques to obtain a representative flux of greenhouse gases in space and time• analyze field data using graphic and statistical techniques (R software)• synthesize results in a written report \nTeaching and learning methods \nThe student prepares for the onsite course by reviewing current GHG flux literature prior to course start. The course preparation involves e-learning including pre-recorded lectures and a questionnaire\, aimed to form the basis for an active involvement in the specific theoretical and methodological problems\, how to construct a research question and carry out a field sampling design. During the course\, students will be working with hands-on measurements at various field sites and in the lab using different manual and automated chamber measurement systems. The insights from the hands-on exercises will form the basis for classroom discussion and learning. Finally\, the students will perform hands-on analytical work in the classroom using R software on the obtained data in combination with long-term data from automatic chambers. \nThroughout the course\, the teacher team presents lectures covering the central theoretical and practical aspects of the chamber methodology. Lectures interact with class instructions for the theoretical and practical exercises that are in focus on the course. The students will furthermore actively engage in the course by presenting their current PhD projects as well as through group work in theoretical exercises and fieldwork. The course ends with group presentations on a chosen topic covering both theoretical aspects and actual results obtained during the course. Each group further summarizes their work in a written report submitted no later than two weeks after the course presenting and discussing the collected data and results. The participants pass the course after approval of their written report no later than 2 weeks after submission.  \nType of assesment \nThe course is finalized by a written report submitted max. 14 days after the course. \nGuest lecturersJohannes W.M. Pullens is assistant Professor at Dept. of Agroecology at Aarhus University. He is involved in the AnaEE Denmark research Infrastructure and works with both eddy covariance and chamber measurements to measure exchange of CO2\, N2O and CH4 of agrosystems. He will contribute with lectures in lecture room and in the field as well as to practical exercises throughout the week of the course. \nSander Bruun (assoc prof) and Azeem Tariq (assist prof) from Dept. of Plant and Environmental Sciences at University of Copenhagen are also involved in AnaEE Denmark activities with measurements of GHG exchange in agricultural systems. They will participate with lectures and be responsible for the field visit to the Højbakkegård site during the course. \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/advanced-measurements-and-analyses-of-greenhouse-gas-fluxes-from-soils-and-ecosystems-amags/
LOCATION:Department of Geoscience and Natural Resource Management
CATEGORIES:PhD Course
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