GEO-SCI426/626 Remote Sensing and
Image Interpretation
Department of Geosciences
University of Massachusetts - Amherst
3 cr, Spring
2012
Class schedule Syllabus in PDF
Notes, lab and assignments will be
updated on the Moodle.
Lecture TuTh
9:30-10:45 pm, Morrill Sci. Ctr. II 126
Instructor
Qian Yu, Ph.D, Morrill 267, qyu@geo.umass.edu
Office hour TuTh
10:45-12:00pm or by appointment
TA
Changjiang
Ye Morrill IV 264, cjye@geo.umass.edu,
Office hour MF 10:30-11:30am or by
appointment
Required
textbook for lectures
Jensen, John R., 2007, Remote Sensing of the Environment:
An Earth Resource Perspective, Prentice Hall: Upper Saddle River, NJ. 2nd
ed. ISBN 0-13-188950-8
Reference book for lectures
1. Jensen, John
R., 2005, Introductory Digital Image Processing: A Remote Sensing
Perspective, Prentice Hall: Upper Saddle River, NJ, 3rd ed. ISBN
0-13-145361-0
2. Lillesand, Thomas M.,
2007, Remote Sensing and Image Interpretation, Wiley. ISBN-13: 978-0470052457, 6th edition
3. Gong, Peng,
Remote Sensing and Image Analysis http://www.cnr.berkeley.edu/~gong/textbook/
Prerequisites:
High
school Algebra and Geometry
Course purpose
To provide you with an introduction to the
principles and practices of photo interpretation and digital remote sensing for
use in environmental monitoring, measurements of structural parameters, and
natural resource management.
Course description
This course
provides an introduction to the fundamentals of remote sensing. Class lectures
will focus on a range of concepts and techniques key to understanding how
remote sensing data are acquired, displayed, restored, enhanced, and analyzed.
Topics include remote sensing principles, aerial photography, image
interpretation, major remote sensing systems, image display and enhancement,
information extraction, accuracy assessment, and remote sensing in
environmental research and applications. Weekly exercises will provide you with
ample opportunity to gain hands-on experience using the image processing
software ITT ENVI. We will also explore a range of practical issues related to
the application of remote sensing to solving real world problems. This class
involves a heavy use of computer software and projects.
Course
objectives
This class will insure students have knowledge on
these aspects:
1. the
properties and characteristics of aerial photographs.
2. remote sensing systems: a) how to
define the type of remote sensing needed to fulfill the user's stated
objectives, b) where existing remote sensing data which fulfills his/her
objectives may be located, and c) how to obtain new aerial photography, if
necessary.
3. digital image processing: 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 natural resource management and related fields.
4. remote
sensing information extraction: a) which characteristics of land cover types
can be mapped/measured from remote sensing, b) different techniques available
for mapping and measuring these land cover types, and c) how accurately these
land cover characteristics can be mapped from remote sensing.
Grading and evaluation
Exams will cover key concepts from lecture,
article and laboratory activities. All written assignments must be handed in on
time.
|
Exercises and
assignments |
25% |
|
Mid-Term Exam |
30% |
|
Final Exam/Project |
30% |
|
Presentation |
10% |
|
Class
participation& Course portfolio |
5% |
626
students: 1. Present a journal paper about remote sensing
application in your field;
2. Choose your own topic for final project.
Laboratory
activities and assignments: We will work through some
laboratory activities specified in additional documents to aid in understanding
technical concepts taught in lectures. We will also explore some of the
technical facets of ITT ENVI 4.8 software, which will help manipulate
images.
Policy on attendance
and due-dates for assignments:
·
Attendance
to both lecture and lab is required in the normal circumstances and forms a
portion of your grade. Failure to meet course requirements due to illness will
require documentation for alternate arrangements to be made. It is the
responsibility of the student to obtain any materials (i.e. notes) from other
students in the event the student cannot attend class for some
reasons.
·
All
exercises must be turned in by the date the exercises are due. Any late
submission in one week without advance permission by the instructor will cause
a grade deduction by half. No exercise will be accepted after one week
following the due date.
·
No
make-up exams will be given unless PRIOR arrangements have been made with
instructor and documentation of an illness is provided.
·
During
the semester, each student is expected to meet the instructor at least twice in
the office hour.
Prerequisites:
High
school Algebra and Geometry
Class Schedule (subject to
change according to the progress)
|
Week |
Class |
Arrangement |
Topic |
Reading |
|
1
Jan 23 |
Tu |
Lecture
1 |
Introduction |
Jensen’s
ch1 |
|
Th |
Lecture
2.1 |
Physic
basis of remote sensing: Electromagnetic radiation principles (1) |
Jensen’s ch2 p37-47 |
|
|
2
Jan 30 |
Tu |
Lecture
2.2 |
Physic
basis of remote sensing: Light-atmosphere and light-terrain interaction(2) |
Jensen’s ch2 p47-60 |
|
Th |
Lecture
2.3 Lab
1 |
Physic
basis of remote sensing: path radiance, atmosphere correction (3) Hyperspectral
curve, spectroradiometer |
|
|
|
3
Feb 6 |
Tu |
Lecture
3.1 |
Aerial
photography: vantage point, cameras (1) |
Jensen’s ch4 Skip
p101-104, 116-122 |
|
Th |
Lecture
3.2 |
Aerial
photography: color theory, filter, and film development (2) |
||
|
4
Feb 13 |
Tu |
Lab
2 |
Stereo-airphoto interpretation |
Jensen’s ch6 p162-167 |
|
Th |
Lecture
4.1 |
Multispectral
remote sensing systems: concepts: digital images, resolution, orbits,
platform, types of system |
Jensen’s ch7 Skip 1) Indian
Remote Sensing System p229 -231, 2) Digital frame cameras bases on Area
Arrays p244-246 |
|
|
5
Feb 20 |
Tu |
Lecture
4.1 |
Cont… |
|
|
Th |
Lecture
4.2 |
Multispectral
remote sensing systems: Landsat and SPOT |
||
|
6
Feb 27 |
Tu |
|
AAG,
no class |
|
|
Th |
Lecture
4.2 |
Cont… |
||
|
7
Mar 5 |
Tu |
Lecture
4.3 |
Multispectral
remote sensing systems -AVHRR, EOS, High resolution |
|
|
Th |
Lecture
4.3 |
Cont… |
||
|
8
Mar 12 |
Tu |
Lab
3 |
Image
display and multispectral remote sensing System |
|
|
Th |
Lab
3 |
Cont… |
||
|
9
Mar 19 |
Spring break |
|||
|
10
Mar 26 |
Tu |
Lecture
5 |
Thermal
infrared remote sensing |
Jensen's
ch8, Skip 1)250-252 (History of Thermal RS) 2) p260 (Thermal properties of
terrain) |
|
Th |
Lecture
5 |
Cont, |
||
|
11
Apr 2 |
Tu |
Lecture
5 |
Cont, |
|
|
Th |
Lab
4 |
Thermal
infrared remote sensing interpretation |
||
|
12
Apr 9 |
Tu |
Lec6
& Lab5 |
Image
enhancement: Concept and Practice |
|
|
|
Th |
|
Midterm |
|
|
13
Apr 16 |
Tu |
|
Monday schedule,
no class |
|
|
Th |
Lecture
7 |
Microwave
remote sensing |
|
|
|
14
Apr 23 |
Tu |
Lecture
8 |
Information
extraction: classification |
|
|
Th |
Graduate student paper presentation |
|
||
|
15
Apr 30 |
Tu |
|
Classification
continue |
|
|
May 10 |
|
|
Final project
report due |
|