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Geography 690D Remote Sensing

Spring 2014            
Class No. 11906
Tues., 6:00 – 8:45 p.m.    
Sierra Hall 103 and 166
Office Hours: Thurs 4:00 – 6:00 p.m. or by appt.

 

Dr. Helen Cox
helen.m.cox@csun.edu
Office: Sierra Hall 130K
phone: (818) 677-3512 or 7710


Description

We will examine how the earth and its atmosphere can be viewed from aircraft and satellites using different parts of the electromagnetic spectrum, and how the images obtained can be analyzed to provide information on land use and features of the earth’s surface.  There are hundreds of applications for such data including the monitoring of local and global environmental changes, weather forecasting, storm tracking, seismic analysis, land use, urban planning, the detection and monitoring of natural hazards, oil and mineral exploration, vegetation studies, crop classification, and oceanography.

This is an advanced course in remote sensing.  Students will normally have taken a first course in the subject, such as Geog 407/L, or have gained some experience through other courses or projects.   If not, students will be expected to go through some of the basic exercises in image processing from Geog 407 at the start of the course in order to gain experience with the software and basic functions.  In this course students will learn the principles and practice of remote sensing, how remote sensing is used in research and gain hands-on experience in image analysis using ERDAS Imagine, a sophisticated image processing software package through assignments and projects. 


Attendance

Class attendance is required.  Students will be listening to lectures, reviewing journal articles, participating in discussions, carrying out assignments and participating in a class project.  Students are expected to be on time for class and to be respectful of others.  Cell phones must be turned off.

Course
Materials

The course syllabus, reading materials, tutorials, assignments and resources are posted on Moodle.  Please access the Moodle page regularly and keep up with the readings and assignments.  All students are expected to read the assigned journal articles in advance of class (two per week).
The text is optional and should be purchased by students who will be using remote sensing beyond this classroom experience. It is not necessary, but is useful, for successful completion of the course. The text for the course is “Remote Sensing of the Environment” (2nd edition) by John R. Jensen (Prentice Hall, ISBN 0-13-188950-8).  Any edition of the text is acceptable.


Journals

Students will be required to read and present a journal article to the class. This is a useful way to learn more about the topic of remote sensing and to understand how it is applied in practice.  Part of your grade is determined by your article presentation and by your participation in the discussion of other articles.
I will be posting journal articles that students can select from. If you are working in another research area and would like to use a journal article that applies remote sensing to your area of interest, you may select a different article but must submit it to me to review at least two weeks before your presentation date.


Grading

Students will be graded on completion of class assignments (25%), presentation and discussion of journal articles (15%), a project (20%), and term paper (25%) and presentation (15%) related to this.

Schedule of classes

  Class Assignment

week 1

Jan 21

course overview
basic principles of remote sensing
spectral signatures

 

Lab: ERDAS Imagine introduction
Read Landsat ecology paper. (due Jan 28)

Research Landsat 8. (due Jan 28)


week 2

Jan 28

basic principles of remote sensing
Landsat overview
vegetation mapping
lab work

Lab. Ex. 1: Vegetation signature using MODIS Part I

Lab. Ex. 1: Vegetation signature using MODIS Part II

Read 2 assigned journal articles (due Feb 4)

week 3

Feb 4

basic principles of remote sensing
remote sensing applications
(journal articles) – discussion
lab work

Lab. Ex. 1: Vegetation signature using MODIS Part III
Download data for Ex 2

Read 2 assigned journal articles (due Feb 11)


week 4

Feb 11

basic principles of remote sensing
remote sensing applications
(journal articles) – discussion
Introduction to Model Maker
lab. work

Lab: Ex 2 (due Feb 25): Examining effects of drought on vegetation

Read 2 assigned journal articles (due Feb 18)

week 5

Feb 18

remote sensing applications
(journal articles) – discussion
lab. work

Lab: Ex 2: Examining effects of drought on vegetation
Read 2 assigned journal articles (due Feb 25)

week 6

Feb 25

remote sensing applications
(journal articles) – discussion
lab. work

Lab: Ex 3 (due Mar 11): Deforestation in Brazil
Read 2 assigned journal articles (due Mar 4)


week 7

Mar 4

remote sensing applications
(journal articles) – discussion
lab. work

remote sensing applications (journal articles) – discussion
lab. work


week 8

Mar 11

remote sensing applications
(journal articles) – discussion
lab. work

Lab: Ex 4 (due Apr 1st): Mapping Snow Cover using MODIS
Read 2 assigned journal articles (due Mar 18)

week 9

Mar 18

remote sensing applications
(journal articles) – discussion
lab. work

Lab: Ex 4 Mapping Snow Cover using MODIS Pt II
Read 2 assigned journal articles (due Apr 1)

week 10

Mar 25

Lab and Group project work
– No instruction

Lab: Ex 4 Mapping Snow Cover using MODIS Pt III

Lab: Ex 4 Mapping Snow Cover using MODIS Pt IV

week 11

Apr 1

remote sensing applications
(journal articles) – discussion
lab. work

Lab: Ex 5 (due Apr 15): Mapping Greenland’s Ice Sheet Pt I

week 12

Apr 8

NO CLASS - HOLIDAY

Lab: Ex 5: Mapping Greenland’s Ice Sheet Pt II

week 13

Apr 15

Projects
Lab work

Lab: Ex 5: Mapping Greenland’s Ice Sheet Pt III

week 14

Apr 22

projects

 
week 15 Apr 29

project presentations

 

week 16

May 6

project presentations




Learning Outcomes and Assessment

Goal A: Knowledge
            Students will understand the principles and practice of remote sensing.      

  • Assessment/Evaluation tool: Class discussion, literature review, oral presentation, project

Students will learn the properties of the common satellite instruments.

  • Assessment/Evaluation tool: Class discussion, literature review, oral presentation, project

Students will understand applications of remote sensing to earth observing and environmental monitoring.
Students will become well-acquainted with applications of remote sensing to global change, atmospheric monitoring, land use and land cover mapping, geologic and soil mapping, agricultural and forestry applications, hydrology and ecology.

  • Assessment/Evaluation tool: Class discussion, literature review, oral presentation, project

      Goal B: Acquiring Knowledge
Students will develop skills for acquiring new knowledge and reviewing literature.
Students will take comprehensive notes during class presentations.
Students will read material assigned and referenced in class.
Students will learn to find ancillary material from the Internet.
Students will read and analyze research articles from professional journals.

  • Assessment/Evaluation tool: Class discussion, oral presentation, project

           
      Goal C: Problem Solving Skills
Students will assimilate knowledge from different parts of the course and a variety of sources to understand how remote sensing is applied to environmental monitoring and surface mapping.

  • Assessment/Evaluation tool: Class discussion, oral presentation, project

      Goal D: Communicating Knowledge
Students will communicate the knowledge they have gained to analyzing and explaining journal articles describing remote sensing and its application.
Students will communicate the knowledge they have gained by describing a specific remote sensing application.

  • Assessment/Evaluation tool: Oral presentation, project.

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