REMOTE SENSING
GEO 5134c
(sec. 0953) Environmental Remote Sensing (Grads)
and
GIS 4037 (sec. 6234) Digital Image Processing (Environmental Remote Sensing) (Undergrads)


AVHRR 10-Day NDVI Mosaic

SYLLABUS as of 12 October 2009: This is the final, but changeable syllabus. Exams and other due dates will not change. Topics of lectures and labs may change.

Instructor: Dr. Michael W. Binford

Office Hours: 4:00 p.m.- 5:00 p.m. Monday and Wednesday or by Appointment

Office: 3139 Turlington Hall
Phone: (352) 392-4652 ext. 215, I'll answer if I'm in, but seldom return voice mail
E-mail: mbinford@geog.ufl.edu

Required Textbook: Jensen, J.R. 2005. Introductory Digital Image Processing: A Remote Sensing Approach. Prentice-Hall, Saddle River, NJ. 544 pages.

Recommended Textbook: Jensen, J.R. 2000. Remote Sensing of the Environment: An Earth Resources Perspective. Prentice-Hall. Upper Saddle River, NJ. 544 Pages.

Required Equipment and Materials: You must have a USB data storage device (Flash Drive, Thumb Drive, Data Stick, Travel Drive, Portable Hard Drive, or any other) with at least 4 Gigabytes of capacity to store class data files and to use as working data storage. Two drives would be better. The lab computers will be rebooted periodically, and when they are all data stored on them will be lost!


Class Meetings - All Students: Lectures Mondays Period 7-8, 1:55-3:50; Laboratory: Wednesdays Period 7-8, 1:55-3:50
Description: This course, taught in different sections but at the same time for undergraduate and graduate students, provides an introduction to the use of remotely sensed data in environmental research.  Remote sensing is the science of acquiring data using the measurment of electromagnetic radiation by techniques that do not require actual contact with the object or area being observed. Most environmental applications of remote sensing use instruments carried on satellites. The different sensors used to collect this information, and the interpretation techniques vary quite widely, and are being developed at an astounding rate.  In this course, we will focus on the interpretation and applications of data from spaceborne imaging systems (eg: Landsat MSS, Landsat TM, Landsat ETM+, Quickbird, IKONOS, MODIS, ASTER, SeaWIFS, HYPERION, SPOT, AVHRR).

Prerequisites: Senior Standing (4037), Graduate Standing (5134c), or Permission of Instructor. Facility with operations in MS Windows, College-level Statistics or Quantitative Analysis in Geography and College-level Algebra are required, basic courses in Ecology or other Environmental Sciences, Physics recommended. A prior course in GIS would be helpful, but is not required. Likewise, this course would give students an advantage in a GIS course.


OBJECTIVES OF THE COURSE:

1. Introduce students to the basic concepts, data, analytical methods, and software of satellite remote sensing as applied to environmental systems.
    e.g. geomorphologic studies, classification of land cover and habitat, landscape analysis, land-cover/land-use change analysis, ecosystem pattern and process analysis, landscape monitoring, etc.

2. At the end of the class, students will be able to conduct basic analysis of environmental systems using satellite remote sensing data and the software ERDAS Imagine 9.3

3. The course will provide a learning environment in which tudents will learn to teach themselves new software functions, read and implement methods presented in the peer-reviewed and technical literature, and generally be independent scientists and technicians with beginning expertise in remote sensing.

Basis of Grade:  90-80-70-60; A-B-C-D (with 88-90, 78-80, etc. earning +, 90-92, 80-82, etc. earning minus grades except C- which is 68-70)

Activity                                    %

Laboratory Exercises           65%

Midterm Examination          12%

Final Exam                            18%

Future Directions in RS         5%

(NOTE THAT THIS SCHEDULE IS ALWAYS TENTATIVE, EXCEPT FOR EXAM DATES AND OTHER DEADLINES, AND WILL BE REVISED CONSTANTLY. CHECK BACK OFTEN.)

Lectures

In the list below readings are indicated for Introductory Digital Image Processing: A Remote Sensing Perspective. Students are responsible for reading these materials on their own initiative, and the lack of mention of a reading in class does not mean that the chapter does not have to be read before class time.


 Schedule    
Week Lecture Topic Lab Topic Reading
1 - 24 August
Introduction to Remote Sensing; Physics of Radiation and Remote Sensing; Link to 6-slide/page lecture images

Lab 0: General Introduction "Fun" lab - getting acquainted with satellite remote sensing data and software. BRING YOUR USB FLASH DRIVE WITH YOU TODAY  Ch 1, 6 (p 175-194)
2 - 31 August
More Physics of Remote Sensing; Multispectral Instruments and Platforms - Link to 6-slide/page lecture images; Links to Remote Sensing Data SitesLink to Remote Sensing Instruments list Lab 1: ERDAS Imagine 9.3; Image Interpretation and Analysis of Satellite Data; Key to Lab 1
Ch 5, 8 through p 272
3 - 7 September
No Lecture - Labor Day

LAB WILL MEET!
Lab 2: Image Display & Cursor Operations .doc file
 Lab pdf file
Key to Lab 2
Ch 2 (read carefully), 3 (read quickly), 4 (through page 141)
4 - 14 September
Color Models and Composite Imagery; Multispectral Instruments and Platforms; 6-slide lecture handout

Lab 3: Data Formats, Constrast Stretching and Slicing; Key to Lab 3
Ch 7.
5 - 21 September
Orbital Characteristics, Finding Data, Importing, Preprocessing (Spectral Correction), Lecture Slides;    6-slide/page notes Lab 4: Image Annotation and Map Composition pdf file; Key to Lab 4 Ch. 6,  pages 194-222.
Chander et al. 2009
6 - 28 September
More Preprocessing: Spectral Enhancements for Visual Analysis; Geometric Corrections; 6-slide/page notes

Paper on Mapping Forest Change with SLC-Off
Paper on Geostatistical Estimation of SLC-off data.

Lab 5: Geometric Correction; Key to Lab 5
Ch. 8, pages 274 -  296
7 - 5 October
MIDTERM EXAM - IN CLASS - Download from S:\geoglab\GEO5134c-4037_Remote_Sensing-Digital_Image_Processing\Fall_2009_exams; Exam Key;
Exam Results

Lab 6: Spectral Enhancement: Band Ratios, Filters  There is no key - everybody did very well on this lab.  Ch. 8 (296-322)
8 - 12 October
Transformations and Special Indices pdf file; 6-slide/page handout pdf file.

Lab 7: Spectral Enhancements: Transformations (Image Indices) and PCA Ch. 9
9 - 19 October
Classification 1: Land Cover Classes and Classification; 6-slide/page notes

Lab 8: Image Classification
Ch. 9, 13 (pages 495 - 511)
10 - 26 October
Classification 2: Supervised Classification & Accuracy; Change Detection; 6-slide/page notes
Foody 2002 paper on classifcation accuracy assessment.

Lab 9: Training Samples & More Classification
Crown density scale reproducible image
Ground-cover and slope definition reproducible image
dbh methods reproducible image

Word-processing Training Sample Form

 Training Samples (tab-delimited text format)
As of 1:30 PM Wednesday.

NOTE: only 12 people turned in data on time. As more data come in today, I will add them to the spreadsheet and will post a new time.

I had to reverse the easting (always 6 digits) and northing (usually 7 digits) for two of the contributions. Check your data! If you sent me data and they are not on the spreadsheet, please get in touch with me. I also did not  check the locations to be sure that they were not in Georgia or Texas. You will have to do that. If there are strange data, you must get in touch with the contributor for corrections.
Ch. 12
11 - 2 November
Change Detection and Analysis; 6-slide/page pdf file
Lu et al. 2004 Int. J. Remote Sensing Change Detection Paper
Lab 10: Supervised Classification and Accuracy Assessment

FGDL Metadata for Accuracy Assessment Data
Ch. 12
12 - 9 November

Radiometric Correction Calculations for Image Calibration; Advanced Change Analysis (Trajectories); 6-slide/page notes.  Paper by Barsi et al. on atmospheric correctionExample output from Atmospheric Correction Web Site.
No laboratory - Veteran's day Ch. 13
13 - 16 November
Image Calibration and Radiometric Correction Practical Aspects 6-slide/page notes. Lab 11: Change Detection: Advanced Change Detection and Spatial Modeler

Lu et al. 2004 Int. J. Remote Sensing Change Detection Paper
Ch. 6, t
14 - 23 November
Thermal Analysis; Other topics in Remote Sensing 6-slide/page notes.
Lab 12 and 13 Combined: Image Calibration and Thermal Calculations

Image Calibration CIPEC Spreadsheet; Landsat 7 Spreadsheet
Chander et al. 2009
15 -  30 November












Class Evaluation; Future Directions in Remote Sensing in general; Potential Binford research future direction; Other topics in Remote Sensing.  4-slide/page lecture notes.

Andy Joyner: Remote sensing applications of niche modeling

Future Directions in Remote Sensing Assignment Due

Here are some potential ideas for Future Directions:
   European Space Agency launches the second satellite in ESA’s Earth Explorer series – the Soil Moisture and Ocean Salinity (SMOS) mission.

Future Directions Papers:

Lab 13 done today Surface Temperatures from Lab 12 (see last week's lab handout);

Extra Credit Lab Presentations;

NOTE: Bias and Gain values for thermal bands in the lab are given in the header/metadata file etm_24_feb_2002_tcp-centered_15_km_square_thermal_metadata.txt which is found in the G: data folder.
16 - 7 DecemberFuture Directions Presentations
Digital Copies of Final Exam Questions and Answers are due today, 9 December;
Lab 13 can be turned in today; no real lab to be done (last day of classes)
16 December - finals week. Final exam is scheduled for Tuesday, December 10:00 am to 12:00 m.
Final Exam. NOTE ABOUT FINAL EXAM:  For each student, I will select randomly 10 questions from  questions submitted by students (see description below). Each student's exam will be different. The written answers will be due when the university has scheduled the final exam for the class (Exam Schedule 15B: Wednesday, 15 December, 10:00-12:00 noon). 

FINAL EXAM QUESTIONS FROM STUDENTS:


Turn in Calibration and Thermal Labs by the date and time of the final exam or earlier.
 

Lab Total = 65% of Class Grade

THE FINE PRINT: ASSIGNMENTS

WEEKLY LABS = 65% of grade. Individual exercises in he lab manual will be posted online each week. You should create a file of the labs for yourself. Labs are frequently quite complex and much of each exercise will need to be completed outside of laboratory periods.  Thirteen lab exercises are planned and these will take you from basic introductory tasks through intermediate and some more advanced remote sensing techniques. You are given 1 week to complete each lab and all labs must be handed with the answers printed and references given, at the beginning of the next lab period (completing a previous weeks lab during the lab session is not allowed). Late labs will not be accepted and a grade of 0 will be recorded. If you have a legitimate reason for missing a lab the absence MUST be documented, e.g., you are in a car wreck, then I need to see the accident report, a death in the family, I need to see the obituary and service times. Labs are critical to this class and it is easy to fall behind. It is to prevent this that I am so strict about not accepting late labs. You have been warned, if it is late you receive a ZERO! Labs are an integral part of the learning procedure in this course and are timed to coincide with the appropriate lectures and reading materials. As such they comprise a significant proportion of your grade and should be taken very seriously.

EXAMS - Midterm (5 October - 12%) and Final (15 December - 18%) Two examinations will be given. Both exams will use short-answer, problem-solving, image interpretation, and essay questions as format. Graduate students will have additional questions to answer. Make-up exams are not given unless written proof/documentation of the emergency which caused you to miss the exam is given.

For 2009 FALL ONLY: Unless someone in the class dissents, the final exam will be optional. Each student will write the five questions with their answers (which will be considered equivalent to one laboratory for grading purposes) and submit them to Dr. Binford. The questions will be posted above in the last row table entry. If you choose to write the final exam, 10 questions will be selected at random from the entire list submitted by students, you will write the answers as a take-home exam, and turn in your answers by 12:00 noon on 16 December. This is the scheduled time for the final exam in this class.  If you object to this treatment of the final exam, you must notify Dr. Binford by 5:00 PM on 19 November 2009. Your anonymity is guaranteed if you dissent.

ASSIGNMENT – Future Directions of Remote Sensing (5%) Due in class on 3 December. For this assignment each student must find a research paper or other literature which they feel is an example or discussion of the Future Direction in the field of Remote Sensing. The piece must have been published in 2005-2009 (or else it won’t be very current). The student will hand in a paper copy of the paper, IN ADDITION to a Digital version (pdf or doc is fine) as well as a 1 page (typed, single-spaced, font size 12 Times New Roman, 1” margins) describing what the novelty of the piece you selected is, what are the new developments and also include why you picked the piece and what you think of their suggestions. These summary pieces should also be emailed to me mbinford@geog.ufl.edu, and will be shared with all class members. Additional details will be given out in class but this is so you are aware of this assignment, can plan for it in terms of time, and can also keep an eye out for a suitable piece. As with the Labs, no late assignments will be accepted.

EXTRA CREDIT LAB. Many students have data or questions associated with their thesis, dissertation, or work-related activity. The last two lab periods will be devoted to work on, and presentations of, projects that are derived from outside the class. If you conduct and present a good project, your numeric grade will be increased by 12%. Thus, the extra credit project is equal in value to the mid-term exam. You may not, however, choose to do a project and neglect the exam. The exam is still required.

ACADEMIC HONESTY

You are all bound by the student academic honor code.

“We, the members of the University of Florida community, pledge to hold ourselves and our peers to the
highest standards of honesty and integrity.”
"On my honor, I have neither given nor received unauthorized aid in doing this assignment."

 The work you hand in for labs and for exams MUST be your own work. Any material obtained from other sources must be cited correctly. Do not plagiarize material. The first time a student is caught cheating they will get zero on the lab/test. On the second offense the student will be reported to the appropriate student body.

Cell phones – These MUST be turned off in both lectures and labs. Also note when you are in the labs outside class time Cell phones must be off or you will be asked to leave the lab.

Consider both class and lab as mandatory if you wish to succeed in this course.