Lecture: Tuesdays
and Thursdays 3:40-5:00 PM, OSH
174
Web page: http://nature.berkeley.edu/~bingxu/UU/UtahGeo5100.6100.Web.htm
|
Instructor |
Bing Xu OSH 211 585-3833
bing.xu@geog.utah.edu Office Hours: Tuesdays
& Thursdays 2:30 - 3:30 PM or by appointment
|
Holidays 10/6,
11/24
Instruction
ends 12/8
Prerequisite:
GEOGR 1200 or upon instructor’s approval.
An introduction
to the principles and practices of aerial photography, photogrammetry,
photo interpretation and remote sensing
for use in geography,
resource management, and environmental protection.
1. To insure everyone has a knowledge of
a.
the properties and
characteristics of aerial photographs,
b. the characteristics of films for aerial
photography, and
c. the function(s) of filters used with the available films.
2. To insure everyone has a knowledge of
3. To insure everyone has a knowledge of
4. To insure that everyone has a knowledge of:
a. which
characteristics of land cover types can be mapped/measured from remote sensing
b. various techniques available for mapping and measuring those land cover types, and
c. potential ways for evaluating the accuracy of those land cover maps
5. To insure that everyone has a knowledge of:
a. the type of remote sensing needed to fulfill a user's objectives,
b. locating existing remote sensing data meeting the objectives, and
c. steps required to obtain new aerial photography or remote sensing data, if necessary.
6. To insure that everyone has a knowledge of
a.
basic concepts on non-photographic remote sensing,
b.
general principles of digital image processing for remote sensing applications,
and
c.
future applications of remote sensing to geography
and related fields.
Lab
topics
include: (1) Stereoscopy and Basic Photo Interpretation; (2) Point
Transfer, Photo Preparation, Type Mapping; (3) Area
Estimation, Scale Measurements; (4) Vertical Measurements; (5) Photo-Orientation, Map Reading and Photo – Map
Coordinate Transformation; (6) Surfing
the World-Wide Web in Search for Data; (7) Digital Image Display and Enhancement; (8) Image Manipulation, Tracing, Generating Segments,
Correction;
(9) Image Classification.
Lillesand T. M. and Chipman J. W., 2003. Remote Sensing and Image
Interpretation. Wiley, John &
Sons. Or
Jensen J.,
2000. Remote Sensing of the
Environment: An Earth Resource Perspective, Prentice Hall.
Gong P. Remote sensing
and image analysis : http://nature.berkeley.edu/~gong/textbook
Evaluation
and Grading Policies:
Written and lab assignments: 25 points each X 10 = 250 points
Midterm exam(10/13): 150 points
Second midterm
exam (12/8): 200 points
Total: 600
points
Exams will include questions
from lectures, the assigned readings as well as guest lectures. There will be short
answer questions and also problems to solve. A general guide to grading that we approximately follow
but will be adjusted according to the class overall performance:
A ≥ 90%
B ≥ 80% and <90%
C ≥ 70% and <80%
D ≥ 60% and <70%
F <60%
ADA Statement
The University of
Utah seeks to provide equal access to its programs, services and activities for
people with disabilities. If you will need accommodations in the class,
reasonable prior notice needs to be given to the Center for Disability
Services, 162 Olpin Union Building, 581-5020 (V/TDD). CDS will work with you
and the instructor to make arrangements for accommodations.
All written
information in this course can be made available in alternative format with
prior notification to the Center for Disability Services.
Tentative
Schedule
Week
|
Date
|
Tuesdays
|
Date
|
Thursdays
|
Assignments
|
|
1 |
|
|
8/25 |
Course overview |
|
|
2 |
8/30 |
Early
history of aerial photography and
remote sensing and their applications
|
9/1 |
Fundamental concepts in photography
and non-photographic remote sensing |
|
|
3 |
9/6 |
9/8 |
Reflectance Topographic
correction |
||
|
4 |
9/13 |
Oblique and vertical photography |
9/15 |
Assignment 2 – EMR Aspects of Remote Sensing |
|
|
5 |
9/20 |
9/22 |
Visual
interpretation by field measurements and digital photoecometric methods |
Assignment
3 – Color and colorIR film and photo processing |
|
|
6 |
9/27 |
Natural
and false color perception and Photo Interpretation elements |
9/29 |
||
|
7 |
10/4 |
|
10/6 |
Holiday |
|
|
8 |
10/11 |
10/13 |
Midterm exam |
|
|
|
9 |
10/18 |
10/20 |
Stereopair photo
orientation |
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|
10 |
10/25 |
10/27 |
Stereoscopy and photo interpretation |
|
|
|
11 |
11/1 |
Parallax
|
11/3 |
Vertical
measurement |
|
|
12 |
11/8 |
Height derivation |
11/10 |
|
|
|
13 |
11/15 |
Classification scheme and photo
interpretation keys; Supervised classification
|
Assignment 7&8 – Photo and image interpretation
|
||
|
14 |
11/22 |
Unsupervised
classification Demo -
Minimum distance and maximum likelihood classifiers, Image of U of U, Berkeley,
Fremont
|
11/24 |
Holiday |
Assignment 9 –
Introduction to image processing Assignment 10 – Classification |
|
15 |
11/29 |
12/1 |
|
|
|
|
16 |
12/6 |
Questions &
Answers; Exam on visual
interpretation |
12/8 |
Second midterm
exam |
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