GEOG 493/593: Digital Terrain Analysis
Course Webpage: http://web.pdx.edu/~jduh/courses/geog493f09/index.htm
(Or go to http://web.pdx.edu/~jduh/ and select “Courses-> GEOG 4/593 (F09)”)
Instructors: Geoffrey Duh (jduh@pdx.edu), Office: CH 424J Ph: 503-725-3159 Office hours: Mon 1-3 pm
Course emailing list: digitalterrain@lists.pdx.edu
Lecture and Lab: Tue, Thu 12:00-13:50 (Tue in CH418 and Thu in CH469)
Pre-course survey: 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 delineation. 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, Erdas Imagine and Leica Photogrammetry Suite (LPS).
Required: Li, Z., Zhu, Q, and Gold, C. 2004. Digital Terrain Modeling: Principles and Methodology. CRC Press. (ISBN-10: 0415324629)
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.)
Journal article: (pdf in I:\Students\Instructors\Geoffrey_Duh\GEOG4593\Readings folder.)
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.
Software documents: 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 on lab computers and 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:
|
Class Participation |
10 % |
|
Midterm |
15 % |
|
Lab Assignments |
40 % |
|
Project |
35 % |
Class Participation (10%) (Click here for the quiz schedule)
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 and if you are not in class then you cannot. If you are repeatedly late you will be given an absence. The labs are due by Thursday before class the week after they are assigned (see the course schedule for the exact due dates). You can hand them in class or put them in my mailbox in CH424.
All students are required to select a topic from a list provided by the instructor (see next page) and give a 10 to 15 minutes presentation on that topic to the class. You must prepare a powerpoint presentation, 4 discussion/quiz questions and their answers. Students who are responsible for the week’s topics must email the questions to the course mailing list and the questions and their answers to the instructor by 5pm the day before the class. The presentation should be mainly based on the assigned readings. I strongly encourage you to put additional relevant materials you find on the internet or from other references that might help students understand the topic.
Exams (15%)
There will be one in-class, closed-book mid-term exam and no 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. Students will form project groups to investigate a particular research problem using the software packages that we use in class. The project should involve some types of digital terrain analysis. The deliverable is a digital copy of Powerpoint presentation that student groups will present to the class. Each project group 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).
Click here for the information on the requests for academic accommodation and the policy on academic honesty.
PSU H1N1 flu information: Classroom policies & Information sheet.
Student Discussion Topics
|
Week |
Tuesday |
Presenters |
|
2 Oct 6 |
Geometric distortions of aerial photo |
Juan Gonzalez Sean Pickner Lesley Bross Stephen Pilson |
|
3 Oct 13 |
Single Frame Orthorectification and Block Triangulation Image resolution and scanning resolution Coordinate Systems: pixel coordinates Coordinate Systems: image coordinates |
Amanda Stolnacke Joey Roberts Kristina Thorneycroft Beth Chappell Bethany Pratt Donald Waldo |
|
4 Oct 20 |
Ryan Lynch Jacob Macdonald Kari Kimura Lisa Utz Sarah Shewell |
|
|
5 Oct 27 |
No readings |
|
|
6 Nov 3 |
HeatherAnn VanDyke Brain McLeer Jesse Nett Tess Harden Jana LaFrenier |
|
|
7 Nov 10 |
Spatial autocorrelation – semivariance |
Matt Tofte Kim Biafora Lily House-Peters Angie Cirello Lowell Anthony Scott Montegna |
|
8 Nov 17 |
Watershed delineation: Stream burning |
Maren Murphy Daniel Lyvers Scott Parker Steve Sobie |
|
9 Nov 24 |
Tomoko Kanai Whityn Owen James Stevens |
Course Schedule
|
Week |
Tuesday |
Thursday |
|
1 Sep 29, Oct 1 |
Course Overview & Digital Terrain Data Models (Ch 1 & 4) Slides |
Lab 1. Digital Terrain Data Models (Due by noon Oct 8) |
|
2 Oct 6, Oct 8 |
Photogrammetry 1 (Ch 3, pp 31-39 & Lillesand, Kiefer, and Chipman. pp. 149-183) Slides |
Lab 2. Digital Photogrammetry: DEM Extraction (Due by noon Oct 22) |
|
3 Oct 13, Oct 15 |
Photogrammetry 2 (ERDAS Field Guide Ch 8: Photogrammetric Concepts pp 291-337) Slides |
Continue Lab 2. |
|
4 Oct 20, Oct 22 |
LiDAR (Ch 3, pp 50-56; Lillesand, Kiefer, and Chipman. Chapter 8, pp 638-639 & 725-732) Slides |
Lab 3a. LiDAR Data Processing Part I (Due by noon Oct 29) |
|
5 Oct 27, Oct 29 |
Project Proposal Due LiDAR Applications (No readings for this week) Slides |
Lab 3b. LiDAR Data Processing Part II (Due by noon Nov 5) |
|
6 Nov 3, Nov 5 |
Midterm Exam TIN and Surface Interpolation (Ch 5 & 6) Slides |
Lab 4. Surface Interpolation (Due by noon Nov 12) |
|
7 Nov 10, Nov 12 |
Derived surfaces, Viewsheds, and Watersheds (Ch 2 and Ch 13) Slides |
Lab 5. Terrain Visualization (Due by noon Nov 19) |
|
8 Nov 17, Nov 19 |
Watershed delineation methods (Baker et al. 2006) Slides |
Lab 6. Watershed Delineation and Terrain Descriptions (Due by noon December 1) |
|
9 Nov 24, Nov 26 |
Terrain Visualization (Ch 12) Slides, Google Earth Slides |
Thanksgiving – University Closed |
|
10 Dec 1, Dec 3 |
Digital Terrain Applications (Ch 14) Slides |
|
|
Dec 10 (Thu) |
Final Presentation & Project Deliverables Due Final presentation (10:15 ~ 13:00) |
|