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EAE3012 · Geographical information systems and remote sensing

Official Handbook

2027 Handbook6 credit pointsLevel 3School of Earth, Atmosphere and Environment

Last checked: 30 Sep 2026 UTC

Overview

This unit introduces basic principles, methods, techniques and applications of GIS and remote sensing. It covers basics of GIS and remote sensing, spatial data collection and management, spatial data manipulation, spatial data analysis and modelling, remote sensing image processing and interpretation and spatial data visualisation. Case studies and hands-on practice allow you to gain experience in the use of GIS and remote sensing technologies. It equips you with fundamental knowledge and skills in constructing, collecting, managing, analysing, integrating and communicating spatial data and information, which are essential for scientific investigations in environmental science, earth science, geography and other scientific studies that have a spatial dimension.

Areas of study: Earth science Environmental science Geographical science Human geography

Offerings

CampusTeaching periodMode
ClaytonSecond semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1PracticalsDemonstration54%—
2ProjectProject16%—
3Theory quizzesQuiz / Test30%—

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prohibition

PROHIBITION: ATS2259, ATS3259, ATS3552, AZA2259, AZA3259, ESC3259 and ESC3552

ATS2259ATS3259ATS3552AZA2259AZA3259ESC3259ESC3552

prerequisite

PREREQUISITE: 12 credit points of any second year units from ESC, EAE, BIO, ENV2022, ATS2547, ATS2548, ATS2628 or ATS2778

ENV2022ATS2547ATS2548ATS2628ATS2778

Learning outcomes

  1. Demonstrate a clear understanding of the key concepts and principles of GIS and remote sensing;
  2. Develop an ability to collect, handle and use digital spatial data for mapping, analysis and modelling;
  3. Identify sources of spatial data and assess the nature and quality of spatial data;
  4. Demonstrate basic problem solving skills with GIS and remote sensing;
  5. Demonstrate a high level of skills in the use of GIS software (ArcGIS);
  6. Develop their own applications of GIS and remote sensing.

Workload

• One 1-hour interactive workshop per week • One 2-hour practical per week

ActivityDuration
Workshops12 hours
Practical activities36 hours

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