EXT8021 : Geospatial Sensors Platforms and Data
EXT8021 : Geospatial Sensors Platforms and Data
- Offered for Year: 2024/25
- Module Leader(s): Professor Jon Mills
- Owning School: Engineering
- Teaching Location: Off Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
This module will introduce students to the technologies commonly used to capture and record geospatial data. It will cover sensor technology such as satellites, drones, social media, IoT and sensor networks, as well as multi-sensor platforms such as mobile mapping vehicles employing photography, video and laser scanning. The module will cover the different types of data generated by such sensors and platforms and investigate the key geospatial considerations around their use, such as spatial scale, observational density, and temporal velocity. The module will introduce students to the most commonly employed data formats and management software appropriate for different types of geospatial data.
Outline Of Syllabus
Characteristics of geospatial data
Spatial data types
Earth observation and remotely sensed data
Geospatial data acquired by airborne sensors and platforms
Geospatial sensor networks and internet of things
Location based social media and crowd sourced data
Location based services
Data formats and structures
Data standards
Learning Outcomes
Intended Knowledge Outcomes
Understanding of the key characteristics of geospatial data.
Knowledge of the different sensor and platform technologies that acquire geospatial data.
Understanding of the different formats and standards employed in geospatial data handling
Knowledge of the most appropriate software tools for the management and manipulation of geospatial data
Intended Skill Outcomes
The ability to choose and source appropriate data for geospatial applications
Practical skills in handling different geospatial data types and formats
The ability to ingest, manage and manipulate geospatial data within software packages
Practical knowledge of how to capture and manage geospatial data streams and real-time data
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 15 | 1:00 | 15:00 | N/A |
| Guided Independent Study | Assessment preparation and completion | 3 | 8:00 | 24:00 | Project work and write up |
| Guided Independent Study | Directed research and reading | 15 | 1:00 | 15:00 | Homework questions for review in future lectures/blackboard feedback |
| Scheduled Learning And Teaching Activities | Practical | 5 | 4:00 | 20:00 | practicals applying lecture content |
| Guided Independent Study | Independent study | 1 | 26:00 | 26:00 | Background reading and reading lecture notes for a full understanding of material |
| Total | 100:00 |
Teaching Rationale And Relationship
Lectures explain the underpinning principles and concepts of geospatial sensors and data types. Each workshop aims to bringing together related concepts and issues into an applied understanding of how to capture, manage and manipulate geospatial data. Workshops will allow students to engage in a peer-to-peer manner to improve their understanding.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Oral Presentation | 20 | 1 | M | 20 | Presentation on a particular area of geospatial sensors and data |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Practical/lab report | 1 | M | 40 | Lab reports of extended exercises relating to workshops |
| Essay | 1 | M | 40 | A critical evaluation of the issues around particular geospatial data types. |
Assessment Rationale And Relationship
Three pieces of assessed work ensure that students are encouraged to undertake an independent and deeper consideration of the taught material and related practicals activities. The mix of presentation, essay and practical report ensure the different transferable skills are utilised within the assessment.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- EXT8021's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- EXT8021's past Exam Papers
General Notes
N/A
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The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.