NES8312 : Geographical Information systems and Remote Sensing
NES8312 : Geographical Information systems and Remote Sensing
- Offered for Year: 2024/25
- Module Leader(s): Dr Roy Sanderson
- Lecturer: Dr Rachel Gaulton
- Owning School: Natural and Environmental Sciences
- Teaching Location: Newcastle City Campus
- Capacity limit: 80 student places
Semesters
Your programme is made up of credits, the total differs on programme to programme.
Semester 2 Credit Value: | 20 |
ECTS Credits: | 10.0 |
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 aims to provide the theoretical background and practical experience necessary to understand the application of GIS and remotely sensed data in environmental assessment and management. It is an introductory module designed for students who, whilst familiar with PC usage, have had no prior experience of using GIS or remote sensed data. It introduces them to the key concepts of data acquisition and storage, errors and error propagation, and basic map manipulation techniques. The practical sessions take the form of a series of self-contained computer-based exercises, each building on skills learnt in the previous practical. Practicals will cover map manipulations, vector and raster data, and the classification and processing of spectral reflectance data acquired using both passive and active remote sensing. Field classes will include demonstrations of modern data collection methods, possibly including drone-based systems (weather permitting). Students will use leading commercial and/or open-source software in their practical classes, and apply their knowledge to solve real-world problems in environmental science and wildlife management.
Outline Of Syllabus
• Geographical information systems, maps and spatial information.
• Visual presentation of spatial data: good and bad practice, and different methods to present maps
• Data types, structures, input and verification.
• Data quality: the causes and implications of errors and natural variation.
• Methods of vector and raster data analysis in GIS.
• Use of interpolation techniques in GIS
• Remote sensing: spectral reflectance data - data acquisition, data processing, data visualisation, data
manipulation
• Interpretation and analysis of remotely sensed data with focus on vegetation applications
• Applications of passive and active remote sensing and GIS in biological and environmental assessment,
management and modelling.
• Selection of GIS and remote sensing products for applications in biological and environmental resource
assessment.
Learning Outcomes
Intended Knowledge Outcomes
By the end of the module students should have acquired a knowledge of:
History of GIS; mapping spatial information; data types and structures; data quality; errors and variation; data analysis within GIS; acquisition of remotely sensed data; interpretation and analysis of remotely sensed data; applications of GIS and remote sensing in environmental assessment, management and modelling.
Intended Skill Outcomes
Students will gain skills in the use of GIS packages, including the ability to enter and manipulate spatial and aspatial data. They will be able to carry out basic GIS analyses and analyses using remotely sensed data, and present the results of their work graphically.
Teaching Methods
Teaching Activities
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Guided Independent Study | Assessment preparation and completion | 1 | 40:00 | 40:00 | Remote Sensing and GIS Case Study |
Guided Independent Study | Assessment preparation and completion | 1 | 20:00 | 20:00 | Data preparation for assessment |
Guided Independent Study | Directed research and reading | 1 | 25:00 | 25:00 | N/A |
Scheduled Learning And Teaching Activities | Practical | 12 | 2:00 | 24:00 | Practical sessions |
Scheduled Learning And Teaching Activities | Fieldwork | 1 | 3:00 | 3:00 | GIS and Remote Sensing Field Class |
Scheduled Learning And Teaching Activities | Drop-in/surgery | 6 | 2:00 | 12:00 | Drop-in session to help with assignments |
Guided Independent Study | Independent study | 1 | 58:00 | 58:00 | N/A |
Scheduled Learning And Teaching Activities | Module talk | 8 | 1:00 | 8:00 | Lectures |
Guided Independent Study | Online Discussion | 1 | 10:00 | 10:00 | Online discussions and interactive tasks |
Total | 200:00 |
Teaching Rationale And Relationship
The lectures are designed to provide the students with the underpinning theory necessary to use GIS and Remote Sensed data correctly (irrespective of the particular type of GIS or RS software being used). The practicals equip the students with the necessary skills to use GIS and RS – whilst this will be focussed on one particular GIS program, the generic nature of the various GIS and RS operations will be emphasised, making it easier to adapt skills for a variety of different GIS and RS platforms. The informal Drop-in sessions are to provide additional support and advice whilst the students are preparing their assignments.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
Description | Semester | When Set | Percentage | Comment |
---|---|---|---|---|
Case study | 2 | M | 100 | Case study to test students' abilities to use both GIS and RS in an integrated manner to address an environmental or ecological problem. |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
Description | Semester | When Set | Comment |
---|---|---|---|
Case study | 2 | M | The formative assessment will provide an informal method for students to receive feedback on their progress and understanding of key concepts. |
Assessment Rationale And Relationship
The summative assessments will be in the form of a case study to test the use of students’ newly-acquired skills, ensure students understand the limitations of different approaches, and can evaluate and present their findings in a form suitable for a wider audience. The assessment will test students’ abilities to present geographic data spatially (e.g. properly annotated and labelled maps), tabular summaries, plus interpretative text.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- NES8312's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- NES8312's past Exam Papers
General Notes
N/A
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