2017


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Advanced Topics on Remote Sensing

By: Admin | Posted on: 08 Mar 2017

Course description

This course offers a detailed examination and implementation of sophisticated approaches for processing satellite digital images with emphasis on environmental and urban applications.


Course objectives

Upon successful completion of the course students should be able to:

  • have an in-depth knowledge of state-of-the-art remote sensing technologies

  • have a good hands-on experience with at least one remote sensing software

  • apply remote sensing to solve a real research problem at his or her particular interests


Course outline

Lecture 1: Introduction of Remote Sensing

Lecture 2: Multispectral Image Classification

Lecture 3: Spectral Mixture Analyses

Lecture 4: Spatial and Temporal Remote Sensing

Lecture 5: Lab

Lecture 6: Hyperspectral Remote Sensing

Lecture 7: Remote Sensing of Invasive Species

Lecture 8: Remote Sensing applications in Urban

Lecture 9: Remote Sensing applications in Coastal wetland


Course methods

The course contents are taught through lectures and practical examples. Students will be required to work out assignments. Students will have the opportunity to discuss and work in teams.


Course assessment

The course grade depends on students’ performance in class activities, assignments, homework, quiz, and final exam.


Reading

Handout and copies of PowerPoint slides.


Prerequisites

None.

  • Lecturers: Le Wang
  • Start time: 29 May 2017 10:00:00
  • End time: 07 Jun 2017 11:30:00
  • Address: 测绘遥感信息工程国家重点实验室