Introduction to Satellite Remote Sensing and Imaging (ENGR 30100)


Course Description:
This introductory remote sensing course covers different environments where remote sensing can be applied, including discussion about a variety of space platforms and selected sensors that orbit the Earth. Emphasis is placed on the application of remote sensing on the interactions between the hydrosphere, biosphere, geosphere and atmosphere as well as bio-productivity and geophysical/geochemical processes in the oceans. 

Grading:
                   Final Exam 35%
                   Mid term 20%
                   Attendance and participation 5%
                   Assignments and Homeworks 20%
                   Final Project 20%
                   TOTAL 100%

Course Goals:
By the end of this Class you should be able to:
* Understand the principles of EM wave and interactions with surface/atmosphere that are relevant to remote sensing (e.g., surface scattering vs particle scattering).
* Describe various types of remote sensing systems (e.g., photographic, electrooptical, passive microwave, etc.)
* Understand the fundamental principles for different types of remote sensing systems
* Understand resolutions and viewing geometry of different remote sensing systems
* Describe different satellite orbits that are used for Earth Observations

Project:
A key component of this class will be the execution of a small research project based on remote sensing data acquired from online. The purpose of this project is for you to take the knowledge gained and apply it to an original problem that is of personal interest to you. The required report and the final presentation are intended to give you another opportunity to hone your skills in properly documenting a research project and also to present your findings to an audience in a concise and precise manner. You can partner up with a class mate of yours or do a solo project. In case of the former I would expect the scope of the project to be a little bit large reflecting double man power.

Books and Tutorials:
Physical Principles of Remote Sensing, by Gareth Rees, 3 Edition, 9780521181167
Remote Sensing Applications with Meteorological Satellites
by W. Paul Menzel.
Fundamentals of Remote Sensing. Natural Resources Canada
Fundamentals of Remote Sensing. Canada Center for Remote Sensing

Policy on Academic Integrity:

Under the CUNY Student Academic Integrity Policy - “Academic Dishonesty is prohibited in The City University of New York and is punishable by penalties, including failing grades, suspension, and expulsion, as provided herein.” Violations of this policy fall into these areas that include but are not limited to:

  • Cheating
  • Obtaining Unfair Advantage
  • Falsifying of Records and Official Documents
  • Plagiarizing

Here are more details on plagiarism from the CUNY academic integrity policy:
Plagiarism is the act of presenting another person’s ideas, research or writings as your own.

The following are some examples of plagiarism, but by no means is it an exhaustive list:

  • Copying another person’s actual words without the use of quotation marks and footnotes attributing the words to their source.
  • Presenting another person’s ideas or theories in your own words without acknowledging the source.
  • Using information that is not common knowledge without acknowledging the source.
  • Failing to acknowledge collaborators on homework and laboratory assignments.

Internet plagiarism includes submitting downloaded term papers or parts of term papers, paraphrasing or copying information from the internet without citing the source, and “cutting & pasting” from various sources without proper attribution.

We welcome any questions you may have concerning academic integrity and will do our best to help you understand the standards of academic scholarship. We use CUNY guidelines to sanction any incidents of academic dishonesty in our courses. Any student who violates this policy will FAIL the course.


Tarendra Lakhankar, PhD, PE .
NOAA-CREST Center, The City College of the New York
ST-185, Steinman Hall, 160 Convent Ave, New York, NY 10031
Email: tlakhankar (at) ccny.cuny.edu Office: 212-650-5815  Fax: 212 650 8097