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Course Objective: This course aims at providing practical knowledge and in-depth understanding of of the Remote Sensing. Through practical applications and real-world examples, students will be provided with necessary skills to generate and analyze high-level remote sensing products.

Specific objectives are:

i) to train students on remote sensing data type and formats, imagery products and their availability;

ii) to give insights on processing methods and techniques for handling radiometric and geometric properties of remotely sensed;

iii) to give principles and methods of multi-resolutions and multi-spectral data fusion, multitemporal processing and accuracy assessment;

iv) to develop data processing automation through batch processing.

Learning Outcomes:
The students on the completion of this course would be able to:
1. Explain and communicate quantitative remote-sensing principles and integrate different tools for remote sensing data analysis.
2. Perform image corrections and enhancements and generate high-level remote sensing products.
3. Manipulate and process RS data using manual and automated techniques
4. Critically compare different type of remote sensing data products and analysis technique and select the more appropriate to solve a real-world problem.

Prerequisite: AT76.03 Remote Sensing

Course Features

  • Lectures 0
  • Quizzes 0
  • Duration 55 hours
  • Skill level All levels
  • Language English
  • Students 266
  • Assessments Yes