Course Objective: This course provides students foundations of Remote Sensing (RS) theory, RS image processing techniques and applications. Specific objectives of this course are: i) to provide background knowledge and understanding of principles of RS and RS systems; ii) to enhance students’ capacity to interpret images and extract information on the earth surface from multi-resolution imagery at multi-scale level; iii) to acquire skills on basic image processing and classification techniques; iv) to enable critical, spatial and temporal thinking on Remote Sensing for real-world applications.

Learning Outcomes:
The students on the completion of this course would be able to:
1. Critically compare different EO systems taking into account the essence of the observed phenomena.
2. Evaluate different EO data and select the more appropriate under limited observation condition.
3. Carry out effective and accurate geometric and atmospheric corrections to reduce observation distortions.
4. Apply basic procedures of digital image processing for RS image enhancement analysis.
5. Conduct accurate automatic or semi-automatic geo-information extraction from remotely sensed imagery.
6. Carry out independent scientific remote sensing research or professional RS assignments.

Prerequisite: None

Course Features

  • Lectures 0
  • Quizzes 0
  • Duration 10 weeks
  • Skill level All levels
  • Language English
  • Students 281
  • Assessments Yes