Advanced Geospatial Applications: Environmental modeling with GIS & Remote Sensing

This is an advanced level course, emphasizing remote sensing, digital image processing and environmental information extraction.

Textbook:

Jensen, J. R., 2005, Introductory Digital Image Processing: A Remote Sensing Perspective, Upper Saddle River, NJ: Prentice Hall, 3rd Ed., 526 pages.

Reference:

Jensen, J. R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Upper Saddle River, NJ: Prentice Hall, 544 pages.

Instructional Goals – After successfully completing this course, you should be able to:

1)     Understand basic principles of remote sensing digital image processing.

2)     Understand the major digital image processing algorithms; be capable of undertaking various analyses using digital image analysis software (ENVI).

3)     Understanding the remote sensing applications in forestry, land-use land cover classification and environment change detection.

 

Lectures

Chapter 1: Remote Sensing and Digital Image Processing

Chapter 2: Remote Sensing Data Collection

Chapter 3: Hardware and Software

Chapter 4: Image Quality Assessment and Statistical Evaluation

Chapter 5: Initial display Alternatives and Scientific Visualization

Chapter 6: Electromagnetic Radiation Principles and Radiometric Correction

Review Ch. 1-6

Chapter 7: Geometric Correction

Chapter 8: Image Enhancement (1)

Chapter 8: Image Enhancement (2)

Chapter 9: Thematic Information Extraction: Pattern Recognition (1)

Chapter 9: Thematic Information Extraction: Pattern Recognition (2)

Chapter 10: Information Extraction Using Artificial Intelligence

Chapter 12: Digital Change Detection

Review Ch. 7-12

Labs

Lab 1: Introduction to the Remote Sensing Process

Lab 2: ENVI Quick Start

Lab 3: ENVI Intro.

Lab 4: Interactive_Display

Lab 5: Map Composition

lab 6: Geo-registration

Lab 7: Classification

Decision Tree

 

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