Geoinformatics

EART30502 Geoinformatics 10 Semester 2 Undergraduate Level 6 Martin Gallagher Unit coordinator Department of Earth and Environmental Sciences 1 FHEQ level (Framework for Higher Education Qualifications) ' Last part of a Bachelors ' European Credit Transfer & Accumulation System Rating : 5.0 <div> <div> Theory Component:1: Global Navigation Satellite Systems. What they are and how they work.2: Geodesy: measuring the Earth3: Remote sensing: history and current platforms, passive and active sensors.4: Multispectral and hyperspectral imaging.5: Gravity and Magnetics.6: Lidar: terrestrial, airborne, waveform processing etc. InSAR7: Photogrammetry and Structure from Motion.8: Planetary Remote Sensing: mapping other worlds8: Spatial analysis and Spatial Statistics9: Databases and GIS.10: Virtual Earth Models (e.g. Google Earth): how they work.Practical component:Build your own digital outcrop model: Collect data for, prepare, process and interpret a SFM base digital outcrop model. (5 weeks)Geological Database Design (3 weeks)Geostatistics (2 weeks)This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact.  Please see Blackboard / course unit related emails for any further updates.</div>  </div>   <div> Theory Component:1: Global Navigation Satellite Systems. What they are and how they work.2: Geodesy: measuring the Earth3: Remote sensing: history and current platforms, passive and active sensors.4: Multispectral and hyperspectral imaging.5: Gravity and Magnetics.6: Lidar: terrestrial, airborne, waveform processing etc. InSAR7: Photogrammetry and Structure from Motion.8: Planetary Remote Sensing: mapping other worlds8: Spatial analysis and Spatial Statistics9: Databases and GIS.10: Virtual Earth Models (e.g. Google Earth): how they work.Practical component:Build your own digital outcrop model: Collect data for, prepare, process and interpret a SFM base digital outcrop model. (5 weeks)Geological Database Design (3 weeks)Geostatistics (2 weeks)This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact.  Please see Blackboard / course unit related emails for any further updates.</div>   <div> 1: To give an overview of the main remote sensing techniques used in the geosciences.2: To show how those techniques are applied in a variety of both academic and industrial scenarios.3: Introduce the concepts of how geospatial data can be collected and georeferenced, including fundamental concepts of how GNSS (GPS) works.4: Develop skills required to deal effectively with 3D geospatial data through the introduction of GIS concepts.</div>  On the successful completion of the course, students will be able to: <ul> <li> Explain how a GNSS works, and describe the different components of a GNSS.</li></ul><ul> <li> Describe the common types of remote sensing platforms, and under what circumstances they are useful</li></ul><ul> <li> interpret satellite imagery from several different remote sensing platforms, and identify major geological features.</li></ul><ul> <li> Construct and interpret a simple digital outcrop model, and investigate a geological problem with that model.</li></ul><ul> <li> Design a simple database system for geospatial data and perform simple analysis on that database using SQL.</li></ul> Week 1:Lecture : Geodesy – measuring the shape of the Earth.Practical: Introduction to digital outcrop models Week 2 :Lecture : GNSS systemsPractical: Digital outcrop models 2: Week 3:Lecture : Lidar systems Practical: Digital outcrop models 3: Week 4:Lecture : Lidar case studiesPractical: Digital outcrop models 4: Week 5:Lecture : Databases and Big Data in the Earth SciencesPractical: Introduction to SQL : Database design Week 6:Lecture : Spatial Statistics 1Practical: Introduction to SQL 2 Week 7:Lecture : Spatial Statistics 2 : variogramsPractical: Introduction to SQL 3 Week 8: Lecture : Remote Sensing 1Practical: Geostatistics  Week 9:Lecture : Remote Sensing 2Practical: Interpreting satellite imagery 1 Week 10:Lecture : Remote Sensing 3 : Mapping Other worldsPractical: on-line test  <div> [1] On-line lectures and associated course manual.[2] Practicals delivered as on-line training videos with associated formative tests.[3] Directed and independent reading[4] Directed and independent exercises[5] Discussions[6] Feedback – use of on-line test allow instantaneous feedback on progress. Further feedback available by in-class discussion.[7] Electronic communication</div>  0 Other 100% Presentation (individual poster)Digital outcrop model and interpretation - 30%SQL online test multiple choice and short answers. - 30%Test On all theoretical components. - 40%  Formative Assessment: Brief on-line multiple choice questions after each practical assignment - Immediate via online test, and discussion in class.Test. On all theoretical components, 1 hour - On-line feedback within 2 working daysPresentation (individual poster) Digital outcrop model and interpretation - Online via grademark. Within 1 week of submissionReport (individual) JavaScript or SQL code for solving a simple problem - Online via grademark. Within 1 week of submissionOnline Test Short answer questions – on a geospatial data exercise - Online via blackboard test. Within 1 week of submission. 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