GEOG 410/510: Digital Terrain Analysis
Course Webpage: http://web.pdx.edu/~jduh/courses/geog410f06/index.htm
(Or go to http://web.pdx.edu/~jduh/ and select “Courses-> GEOG 4/510 (F06)”)
Instructors: Geoffrey Duh (jduh@pdx.edu)
Office: CH 424J Ph:
503-725-3159 Office
hours: Mon 1-3; Wed 1-2
Kevin Martin
(kmartin@ci.portland.or.us)
Office: CH 424A
Ph: 503-823-7710 Office hours:
Tue & Thu 2-2:30, Weeks 4&5 only, or by appointment.
Course
emailing list: digitalterrain@lists.pdx.edu
Lecture and Lab: Tue, Thu 12:00-13:50 (Tue in CH413 and Thu in CH469)
Pre-course
survey: Go to the website below and follow the instructions to complete the
questions by Sep 29, 3pm. http://survey.oit.pdx.edu/ss/wsb.dll/jduh/digitalterrain.htm
Course Objectives
This course focuses on the theory and methods of the generation, compilation, analysis, and applications of digital elevation data. Specific topics include GIS terrain data models, photogrammetry and LiDAR DEM processing, terrain surface modeling, digital terrain analysis, terrain visualization, and watershed modeling. The course includes computer exercises in the generation and processing of DEM using GIS and image processing software packages including ArcMap, ArcGIS 3D Analyst, ArcScene, and Erdas Imagine.
Required: Li, Z., Zhu, Q, and Gold, C. 2004. Digital Terrain Modeling: Principles and Methodology. CRC Press.
Optional: Lillesand, T. M., Kiefer, R. W., and Chipman, J. W. 2004. Remote Sensing and Image Interpretation, 5th edition. John Wiley & Sons. (Instructors will distribute readings from this text.)
In addition, students will read
articles from peer-review journals. These articles are available in pdf format
in the I:\Students\Instructors\Geoffrey_Duh\Readings\Digital_Terrain
folder. These articles are:
Baker, M.
E., Weller, D. E., and Jordan, T. E. 2006. Comparison of Automated Watershed
Delineations: Effects on Land Cover Areas, Percentages, and Relationships to
Nutrient Discharge. PE&RS 72(2): 159-168.
Peng,
M-H. and Shih, T-Y. 2006. Error Assessment in Two Lidar-derived TIN Datasets. PE&RS
72(8): 933-947.
There are several ESRI digital
books that will be used for both the theoretical and practical components of
the course. These materials can be found in several subfolders in the I:\Students\data\GIS\ArcGIS9.1_documentation\ESRI_Library
folder.
We will also use ERDAS Imagine
Field Guide. The document is available in I:\Students\Instructors\Geoffrey_Duh\ERDAS
Imagine.
Grading
The instructor will grade graduate and undergraduate students based on separate distribution curves. The components of a student’s grade are:
|
Lab Assignments |
30 % |
|
Midterm |
15 % |
|
Final |
15 % |
|
Class Participation |
10 % |
|
Project |
30 % |
Attendance to this course is mandatory. If you miss more than two class periods then you will be penalized five percent of your final grade per absence. PLEASE DO NOT MISS CLASS. You are expected to take part in the discussions. If you are repeatedly late you will be given an absence.
Class
Participation (10%) (Click here for the quiz
schedule)
The lecture component of this course consists of discussions of the readings and therefore you should have read the material before class. Students are expected to come to class ready to be active participants in the discussion. To facilitate an interactive discussion each student will prepare a list of 5 quiz questions based on the readings during the term for which they will receive a grade for class participation. Students who are responsible for the week’s quiz questions must emailed the questions to the class emailing list every Monday by 5pm. It is important that everyone in the class take part in class discussions. Therefore, class attendance and participation are mandatory. If you miss class then you must hand in typed answers to all of the discussion questions for that day.
Exams (30%)
There will be
one in-class, closed-book mid-term exam and one take-home final exam.
Unscheduled in-class quizzes will be administered without notifications.
Results of these quizzes will be counted toward class participation.
You will do practical exercises on the computers. If you do not finish the labs during the assigned time periods (usually every Thursday) the lab also has open hours. The practical exercises provide a way to acquire skills using GIS software packages and to apply the course concepts to real data. Lab exercises are due by the beginning of the next exercise. All exercises require a significant amount of time to finish. Make sure you pace your lab exercises appropriately to prevent from turning them in late. Please refer to the course schedule for specific due dates of the exercises.
A term project is required for all students. The project should investigate a particular research problem using the GIS software packages that we use in class. You should acquire spatial data and if necessary digitize the data and the project should involve some types of digital terrain analysis. The deliverable is a digital copy of Powerpoint presentation that you will present to the class. Individual graduate students also must submit a final paper that describes the project in a publishable style/format (see guidelines here). There are two stages to the project (the dates they are due are listed on the course schedule):
Project
proposal: Submit a one page project
proposal. It should include a project title, a research question, a list of the
spatial and attribute databases you will use, and a conceptual description of
the methods you will use. Please make appointments with the instructor to
discuss your proposal if you have any questions. Here
is a list of criteria for reviewing a proposal.
Oral presentation: Includes the essential information described in the
proposal, data sets used, the analyses performed, and display the maps and
tabular output derived from the analyses (see
presentation rubric).
|
Week |
Tuesday |
Thursday |
|
1 Sep 26, Sep 28 |
Course Overview & Digital Terrain Data Models (Ch 1 & 4) (Slides) |
Lab 1. Digital Terrain Data Models (Due
by noon
Oct 5) |
|
2 Oct 3, Oct 5 |
Photogrammetry (Ch 3, pp 31-39 & Lillesand, Kiefer, and Chipman. pp. 149-183) (Slides) |
Lab 2.
Digital Photogrammetry: DEM Extraction (Due by noon Oct 19) |
|
3 Oct 10, Oct 12 |
Photogrammetry (Guest Speaker: Anne
Hillyer, BPA) (ERDAS Field Guide Ch 8: Photogrammetric Concepts) (Slides) |
Continue Lab 2. |
|
4 Oct 17, Oct 19 |
LiDAR (Ch 3, pp 50-56; Lillesand, Kiefer, and Chipman. Chapter 8, pp 638-639 & 725-732) (Slides) |
Lab
3. LiDAR Data Processing Part I (Due by noon Nov 2) |
|
5 Oct 24, Oct 26 |
Project
Proposal Due LiDAR & IFSAR (Ch 3, pp 39-50; Lillesand, Kiefer, and Chipman, Chapter 8, pp 652-659) (Slides) |
Lab 3. LiDAR Data Processing Part II Continue Lab 3. |
|
6 Oct 31, Nov 2 |
Midterm
Exam TIN and Surface Interpolation
(Ch 5 & 6) (Slides) |
Lab 4.
Surface Interpolation & Terrain Visualization (Due by noon Nov 9) |
|
7 Nov 7, Nov 9 |
Derived surfaces and DTM Accuracy (Ch 2 & Peng & Shih 2006) (Slides) |
Lab 5.
Watershed Delineation and Terrain Descriptions (Due by noon Nov 21) |
|
8 Nov 14, Nov 16 |
Viewsheds and Watersheds (Ch 13 & Baker et al. 2006) (Slides) |
Students work on projects
|
|
9 Nov 21, Nov 23 |
Terrain Visualization (Ch 12) (Google Earth Slides, slides) |
Thanksgiving –
University Closed |
|
10 Nov 28, Nov 30 |
Digital Terrain Applications (Ch 14) (Slides) |
Students work on projects |
|
Dec 7 |
Final
Exam & Project Deliverables Due Final presentation (10:15 ~ 12:05) |
|