SUS 9200B: Remote Sensing and Image Analysis

EAS 426 / ENGR 301 / EAS B9018 (CCNY)
EES 79903 (CUNY Grad Center)


Environmental Remote Sensing and Image Analysis


Course Description:

In the course you will learn the basic physics of remote sensing, become aware of the various sensors that are currently available, and learn about applications of associated datasets. The versatility and availability of remote sensing data make this a key discipline in the Earth sciences. This course provides students an understanding of the underlying principles and physics of remote sensing. We cover basics of the characteristics of electromagnetic waves and their interaction with natural media. We will cover the implementation and applications of remote sensing systems and the acquisition and interpretation data from remote sensing systems. We consider optical and microwave remote sensing systems and data sources. Students will complete a project on a topic of interest to the student and coordinated with the instructor.


Schedule: Friday, 2:00 - 4:30 pm
Virtual Classroom and Asynchronous Materials
On-line, Distance Learning via Zoom

Instructor: Professor Kyle McDonald
Office: I will keep office hours on Zoom and/or Skype
Email: kmcdonald2@ccny.cuny.edu

  • Include the course title “EAS 426 ” in the subject line.
  • Include your contact information, including your full name (I cannot recognize folks by their email addresses!)

Office Hours (Virtual): Wednesday 1:30 pm – 4:00 pm or by appointment.
If several students need to talk with me, I may move to a Zoom platform to support office hours. Students will be placed in the Zoom ‘waiting room’ to wait their turn for meeting.


Please confirm in advance that you wish to speak with me.


Grader/TA: Ashfaq Khan: ashfaq.khan1027@gmail.com


Text (required):
“Remote Sensing and Image Interpretation, Seventh Edition” by Thomas Lillesand, Ralph W. Kiefer, Jonathan Chipman (Wiley, 2015)
ISBN: 978-1-118-34328-9
 

Text (recommended):
“Introduction to the Physics and Techniques of Remote Sensing, Second Edition” by Charles Elachi and Jakob van Zyl (Wiley, 2006)
ISBN-13 978-0-471-47569-9; ISBN-10 0-471-47569-6


Useful Text:
"Physical Principles of Remote Sensing, 3rd Edition (2013)" by W.G. Rees ISBN: 978-1-107-00473-3 (Hardcover); ISBN: 978-0-521-18116-7 (Paperback)
Additional readings may be distributed throughout the course. Make sure that you check blackboard for reading assignments.

Blackboard:
All students must use CUNY electronic blackboard. It is assumed that you will check blackboard for all assignments and announcements. Blackboard includes a feature that automatically sends announcements via email when I post announcements. If you do not check your CCNY email, please login to your CCNY account to forward your email to an account that you use. I have merged all four course sections into EAS 426 on Blackboard. Messaging you receive through blackboard will have that course identifier.

Make sure you can access Blackboard!


Course Requirements:

  • Active participation; consistent and timely attendance
  • Weekly reading of assignments
  • Timely completion of all required work
  • Because we meet only once per week, timely attendance is mandatory. Your final semester grade may be affected.

You will need internet access using a computer for using the tools for data analysis.


CUNY Policy on Academic Integrity
This will be posted on Blackboard.
Be familiar with this!
You are responsible. This will be applied for any instances of cheating.


Grading (note revision from original schedule):

  1. Homework Sets 20%
  2. Tests (and quizzes, if any) 30%
    1. Note that some may be in form of a project assignment.
  3. Project 25%
  4. Final Exam 25%

Homework Policy:
Homework is to be the result of individual efforts. You may consult with each other but do your own work. If this is violated, the academic integrity policy will be invoked. Homework is due prior to the beginning of class on the due date. It will be reviewed in class the following week. I will accept homework up to one week late, prior to its being reviewed in class, but at a penalty of one letter grade.

Topic and assignment specifics are subject to modification during the semester
(** subject to change - Topic schedule may be updated based on distance learning venue,
class interests, and progress)

Date Topic Text  
Jan 29 Introduction to Remote Sensing - Introduction
Feb 5 Foundations Chapter 1 / Lillibeth  
Feb 12 College Closed   No class
Feb 19 Photogrammetry Chapter 2 / Chapter 3  
Feb 26 Optical/IR Sensing Chapter 4 / Chapter 5  
March 5 Test 1   Test 1
March 12 Microwave, Radar, and Lidar Chapter 6 Project assignment
March 19 Microwave, Radar, and Lidar Orbital mechanics Chapter 6 / Appendix B / Elachi  
March 26 Test 2   Test 2 / Project Topic Review
April 2 No class — spring recess    
April 9 Virtual Lab Exercise / Landsat and Vegetation Indices Online tools USGS QGIS  
April 16 Imaging Radar Chapter 6 / NASA Tools  
April 23 Analysis tools / Various sensors Chapter 5 / Chapter 6  

April 30

Analysis and Applications / Various sensors Chapter 7 / Chapter 8  
May 7 Final Exam**   Exam**
May 14 No Class—Reading Day    
May 19-25 Final Exam Week (Presentation of class projects)   Project Due

 

Last Updated: 04/01/2024 10:47