Applications of Remote Sensing and GIS

Module Identifier
EAM2920
Module Title
Applications of Remote Sensing and GIS
Academic Year
2027/2028
Semester
Semester 2
Co-ordinator
Dr Andy Hardy
Reading List
View on Aspire
Other Staff
Professor Richard Lucas
Dr Pete Bunting
Dr Ifat Shah

Assessment

Assessment Type

Assessment details

Proportion
Semester Assessment Research proposal: Critical review of the existing literature within a chosen research topic area. Based on this review, design and present a research proposal detailing the aim and objectives, the motivation for these research objectives and the analytical approach that will address these research objectives. 2500 Words 50%
Semester Assessment Technical Report: Technical report, in the style of a published journal article, to report the methods, results, findings and implications of an independent research project related to one of the research topics covered in the module 2500 Words 50%
Supplementary Assessment Technical Report: Technical report, in the style of a published journal article, to report the methods, results, findings and implications of an independent research project related to one of the research topics covered in the module 2500 Words 50%
Supplementary Assessment Research proposal: Critical review of the existing literature within a chosen research topic area. Based on this review, design and present a research proposal detailing the aim and objectives, the motivation for these research objectives and the analytical approach that will address these research objectives. 2500 Words 50%

Learning Outcomes

On successful completion of this module students should be able to:

  1. Undertake a critical review of the current literature for selected research topics
  2. Generate original data and critically evaluate that data to determine new knowledge or make recommendations for future work
  3. Independently design and implement methodologies for the analysis of geospatial data
  4. Present and articulate the findings of previous research and avenues for future research
  5. Demonstrate an understanding of the current challenges that exist within specific research topics
  6. Independently determine research objectives and design methodologies for addressing these objectives

Brief description

This module introduces current research application topic areas within the discipline of remote sensing and GIS. These topics align closely with research activities of the Earth Observation and Ecosystem Dynamics research group. In doing so, students will learn cutting edge remote sensing and GIS techniques with in the context of applications areas such as malaria risk mapping, monitoring ecosystems, land cover change, biomass burning etc.

Content

This module takes a deep dive into five research topic areas. Aligning closely with the current research activities within the Earth Observation and Ecosystem Dynamics research group, students will learn and apply cutting-edge techniques and concepts for researching globally significant application areas such as malaria risk mapping, wildfires, quantifying carbon storage, monitoring changes tropical mangrove extent. This module will hone your skills as a geospatial data analyst and foster your skills for critically evaluating and presenting results.

Module skills

Skills type

Skills details
Application of Number Learning and application of various statistical approaches for analysing data
Communication The ability to present findings in an informative, concise and professional manner.
Improving own Learning and Performance Independent-led tasks related to researching new topic areas
Information Technology Competency in the implementing software for analysing and processing geospatial data
Personal Development and Career planning Development of skillset for analysing and processing geospatial data using cutting-edge techniques in demand by industry and academia
Research skills Critical reviewing literature and formulating directions for future research
Subject Specific Skills Learning analytical techniques for processing a diverse set of geospatial datasets using a diverse set of approaches
Team work Group discussions with teaching sessions

Notes

This module is at CQFW Level 7