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):
- Homework Sets 20%
- Tests (and quizzes, if any) 30%
- Note that some may be in form of a project assignment.
- Project 25%
- 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