Spatial Data Systems and Remote Sensing

Description

This course will provide students with a general knowledge of types of spatial information and data base structures and of methods for data analysis, classification and interpolation. Students will acquire skills in the use of Geographical Information Systems and managing spatial data input, verification, storage, and output. Students will also obtain general knowledge of the basic concepts of remote sensing and general radiation theory. They will be exposed to a range of sensors and systems and will obtain a broad knowledge of a wide range of remote sensing applications. The course will provide students with general skills in image processing and image interpretation.

Availability

Callaghan Campus

  • Semester 2 - 2015

Learning Outcomes

1. To provide students with a working knowledge of the theoretical background, methods and applications of spatial data analysis.

2. To ensure that students obtain adequate skills in collecting, storing, retrieving, transforming and displaying spatial data.

3. To provide students with hands-on experience with data storage and retrieval in computer based geographical information systems and exposure to practical applications

4. To provide students with a working knowledge of the theoretical background, methods and applications of remote sensing.

5. To give students skills in image processing and interpretation of remote sensing data.

6. To expose students to a range of environmental applications of remote sensing data.

Content

This course will provide students with a general knowledge of:

  1. Types of spatial information.
  2. Data base structures.
  3. Data analysis, spatial modelling, classification and interpolation methods.

The student will acquire skills in:

  1. Use of Geographical Information Systems.
  2. Managing spatial data input, verification, storage, output.

Students will obtain:

  1. General knowledge of basic concepts of remote sensing and radiation theory.
  2. Exposure to a range of sensors and systems.
  3. Knowledge of a wide range of remote sensing applications.

The course will provide students with:

  1. General skills in image processing and image interpretation.

Assumed Knowledge

There are no pre-requisites for this course, although broad general knowledge of SURV1110 or PHYS1200.

Assessment Items

Tutorial / Laboratory Exercises: Laboratories

Formal Examination: Formal Examination

Contact Hours

Laboratory

Face to Face On Campus 2 hour(s) per Week for Full Term

Lecture

Face to Face On Campus 2 hour(s) per Week for Full Term

NOTE: The above distribution of contact hours may alter on a weekly basis and will be confirmed in the course outline handed to students in Week 1.