# Syllabus

NEW YORK CITY COLLEGE OF TECHNOLOGY

The City University of New York

 Course Title: EET 3132 Remote Sensing Courses Description: This course highlights the physical and mathematical principles underlying the remote sensing techniques, covering the radiative transfer equation, atmospheric sounding techniques, interferometric and lidar systems, and an introduction to image processing. The lab component will introduce remote sensing software HYDRA, and MATLAB which will be used for image display and data analysis. Credit hours: 3 course credits, consisting of 2 classroom hours, and 2 Lab hours Prerequisites: Calculus I (MAT 1475), Physics 2.2 (PHYS 1434) or Physics 2.3 (PHYS 1442) Required text: Remote Sensing from Air And Space by R. C. Olsen, SPIE Press, 2007 Supplemental texts: [1]G. L. Stephens, Remote sensing of the lower atmosphere. An Introduction, Oxford University Press, NY, USA 1994 [2] R. Measures, Laser Remote Sensing: Fundamentals and Applications, KriegerÂ  Publishing Company, Reprint Edition,1992 [3] V. Kovalev et.al, Elastic Lidar, Theory, practice, and analyses methods, John Wiley and sons, New Jersey, USA 2004 [4] H.C. van de Hulst, Light Scattering by Small Particles, Dover Publications, NY, 1981 [5] Hecht E.; â€śOpticsâ€ť, 3rd Ed. Addison Wesley, 1998 Prepared by: Viviana Vladutescu

 INSTRUCTIONAL OBJECTIVES ASSESSMENT For the successful completion of this course, the students should be able to: Evaluation Methods and Criteria: Students will exhibit skills in class discussion, homework assignments, laboratory exercises, quizzes, exams, and course projects. 1. Describe the distribution of radiation in Earthâ€™s atmosphere 1. Students will demonstrate skills in solving radiative transfer equations using numerical methods 2. Describe the atmospheric sounding techniques 2. Students will prove their ability of using kernel functions for retrieval of different atmospheric parameters at different altitude levels 3. Understand the impact that electro optical systems have on remote sensing, obtain atmospheric vertical profiles and interpret the results 3. Students will be able to describe different electro-optical systems and corresponding applications. Students will be able to describe lidar systems and corresponding applications and calculate vertical backscatter and extinction profiles. 4. Analyze optical properties and concentrations of atmospheric trace constituents 4. Students will be able to identify spectral signatures of atmospheric constituents and determine concentrations based on mixing ratios or absorptions of radiation in the corresponding absorption window. Students will also be able to perform the correct measurements using the instrumentation pertaining to the analysis of the atmospheric components of interest. 5. Describe the standard orbits and calculate orbital elements 5. Students will be able to identify the different satellites and their sensors on board along with their applications 6. Derive data from remote sensing systems and incorporate them in initialization and validation of forecast models. 6. Students will be able to manipulate statistical and software techniques (Matlab, IDL or Hydra) for model development

 Grading Procedure: Midterm 15%; Project 25%; Laboratory 30% Final Exam 30%