Apply remote sensing to derive variables and parameters of surface hydrology and hydrometeorology such as precipitation, land surface temperature and emissivity, heat flux, evaporation, evapotranspiration, soil moisture, surface water and runoff, water quality, snow and ice, and soil erosion. The contents will also include radar hydrology, microwave techniques and mapping of soil moisture and precipitation, and remote sensing in hydrologic modeling.

Prerequisites: any introductory remote sensing course (EES5053 or equivalent)

Instructors:  

Dr. Hongjie Xie , Email: hongjie.xie@utsa.edu

Tel: 210-458-5445, SB 2.02.16
Department of Geological Sciences at UTSA,

http://www.utsa.edu/LRSG                  

 

Guest lecturers: Mr. Joe Zeitler, Dr. Ahmet Tekeli, Dr. Blake Weissling,  Dr. Chaojun Fan

Thursday 4:30-6:30 pm or by appointment at room of SB 2.02.16

Lecture and Lab:

Lecture and Lab: Thursday 7:00-9:30 pm, room SB 2.01.02. Lecture in the first 1.5 - 2 hours, and lab in the rest of the time. You are required to attend all lectures and labs except you have a good excuse (you should let me know prior to the class).

Lab exercises will be based on an ENVI/IDL, Erdas Imagine, Matlab, ArcGIS, and Perl script.

Textbook (not required):

Schultz and Engman, Remote Sensing in Hydrology and Water Management, Springer, 2000.

Many journal articles

Grade Policy:

The final grade for the course will be determined as below:

Lab exercises    40%
Final exam         20%
Term project     40% 

• Active class participation and exceptional performance in term project will be rewarded with extra credits. However, if you miss a class without permission (prior to the class), you will loss 2 point (based on 100 points) per missing class.
• Quizzes will be given occasionally (no prior notice) and will be extra credits (maximum 6 pts) towards to your final grade.
• Final grade will be 90-100 (A), 80-89 (B), 70-79 (C), 60-69 (D), and less than 60 (F).
• March 23 is the last day to drop an individual course or withdraw from all classes and receive an automatic grade of "W".

Lab exercise:

Lab exercise will be assigned on Thursday and due right before the Thursday class in the following week. Late exercise is unacceptable, unless you do have an good excuse. No make-up lab exercise. Email submission is unacceptable unless you have to miss the class (you should let me know in advance). All lab exercises should use MS Word or others, please no handwriting (it is difficult to read).

Term project:  

A large portion (40%) of this class is a term project. You will submit a complete proposal (5%) (no less than 2 pages, double space, 12 font) with a title, student name, introduction or question statement, data and methods to be used, and expecting results on Feb 16. You will be asked to report the progress (10%) on March 16 (no less than 6 pages, double space, 12 font). All students will give a 15 minutes class presentation (10%) and a final project paper (15%) (no less than 10 pages, single space, 12 font). Instructor will also give some topics for your reference. More details will be given in the Term Project Assignment on Feb9.  You are always very welcome to discuss with me about your project.

Academic dishonesty policy:

All works must be original. Plagiarizing or cheating in any form will be reported and a failing mark will be assigned.

Tentative Schedule: