Introduction to Remote Sensing
GEOG 372 - Fall 2007
Sections 101 and 102 (3 credits)
Instructor: Dr.
Eric S. Kasischke, Department of Geography
Room 1153 LeFrak
Hall, Tel: (301) 405-2179, E-mail: ekasisch@umd.edu
Office Hours:
Mon/Wed: 10:00
am to 11:00 am
or by appointment
Lab Instructor:
Angira Baruah
Office Hours:
Thursday: 11.00-12.00 p.m.
Room: 2132 LeFrak
Class Times:
Lectures - Room
2166 LeFrak, Mon/Wed 9:00 to 9:50 am
Lab - Room 1138
LeFrak
Section
101: Room 1138 LeFrak, Thu 9:00 to 11:00 am
Section
102: Room 1138 LeFrak, Wed 11:00 am to 1:00 pm
See http://www.geog.umd.edu/homepage/courses/372/Fall2007/
for updated information as the term progresses.
Aims of the Course:
This course is intended to provide an introduction to remote
sensing of the environment. It will introduce the basic principles of image
interpretation, remote sensing, and digital data processing in relation to
optical, thermal, and microwave (including imaging radar) remote sensing
systems. Examples of remote sensing applications will be presented along with
methods for obtaining quantitative information from remotely sensed images.
Analyses of remotely sensed data will introduce the students to digital image
processing with an emphasis on the study of spatial and environmental
relationships.
Target Audience:
This course is intended for those who want to learn more
about remote sensing either as a termination for a more general program or as a
gateway to 400 level classes in Geography, especially GEOG472.
Non-Geography students or undeclared majors are welcome.
Overlaps:
This course has no overlaps with others inside or outside
the Department of Geography.
Prerequisites:
This course does not have any pre-requisites.
Enrollment limit:
25 per section.
Geography Major Program Information:
This course counts as a gateway course for Geography majors.
See GEOG advisers in LeFrak
Rm. 2108 (Tel.
301-405-4073) for further information on course selection.
Course Structure:
Class to include 2 lectures plus 1 laboratory per week.
Text Book:
Jensen, J.R., Remote Sensing of the Environment - An
Earth Resource Perspective, 2nd Edition, 592 pp., Prentice
Hall, Upper Saddle River, NJ, 2007.
Assessment:
The grading for this course will be based on three different
areas: two hourly exams, a comprehensive final exam, and laboratory
assignments. The two hourly-exams will each cover 1/3 of the lecture material
and will not be cumulative in nature. Each exam will count for 20% of the final
grade (40% total). The comprehensive final will include material from the last
1/3 of the course (approximately one-half of the exam) and from the entire
course (approximately one-half of the course). The comprehensive final will
count for 35% of the student’s grade. The exams will cover material presented
in the lecture as well as assigned readings, except where noted. The laboratory
assignments will count for 25% of the student’s grade. Each laboratory
assignment will be worth 10 points and will be due at the beginning of the next
class. Unless a valid excuse is presented, lab assignments not turned in on
time do not receive full credit. Assignments turned in up to 2 days late will
receive a maximum of 8 points. Those turned in 4 days late will receive a
maximum of 6 points. Those turned one week late will receive a maximum of 3
points. Any assignment turned in later than 1 week after the original due date
will receive no credit. Finally, a student project will be due at the end of
the working day (5:00 pm) on 13 December 2004, and count for 15% of the
student’s grade.
Final Exam:
The time for the final exam for this course is scheduled for
Monday, 18 December 2007 from 8:00 to 10:00 am. If you have a conflict with
this time, please contact the instructor.
Honor Code:
The University has a nationally recognized Honor Code,
administered by the Student Honor Council. The Student Honor Council proposed
and the University Senate approved an Honor Pledge. The University of Maryland
Honor Pledge reads:
"I pledge on my honor that I have not given or received
any unauthorized assistance on this assignment/examination."
Unless you are specifically advised to the contrary, the
Pledge statement should be handwritten and signed on the front cover of all
papers, projects, or other academic assignments submitted for evaluation in
this course. Students who fail to write and sign the Pledge will be asked to
confer with the instructor.
Disabilities:
If you have a documented disability and wish to discuss
academic accommodations, please contact the Instructor as soon as possible.
Class Notes:
|
Lecture
|
Date
|
Topic
|
Readings
|
|
|
29-Aug-07
|
Course Overview
|
|
|
|
3-Sep-07
|
Labor Day - No Class
|
|
|
Part 1 - Fundamentals of Remote Sensing
|
|
1
|
5-Sep-07
|
Introduction to Remote Sensing
|
Chapter 1
|
|
2
|
10-Sep-07
|
Principles of EM radiometry and basic EM
theory
|
Chapter 2, p. 37-47
|
|
3
|
12-Sep-07
|
Introduction to the digital image - 1
|
Page 194, Figures
7.1, 7.2
|
|
4
|
17-Sep-07
|
Introduction to the digital
image - 2
|
Chapter 4, p. 104-106
|
|
5
|
19-Sep-07
|
Photographic Systems
|
Chapter 4, Chapter 6, p.
149-154
|
|
6
|
24-Sep-07
|
Principles of
image interpretation
|
Chapter 5
|
|
7
|
26-Sep-07
|
Applications
with aerial and space photography
|
Chapter 3
|
|
8
|
1-Oct-07
|
Atmospheric
scattering 1
|
Chapter 2, p. 47-53
|
|
9
|
3-Oct-07
|
Atmospheric
scattering 2
|
Chapter 2, p. 47-53
|
|
|
8-Oct-07
|
1st Hourly exam
(lectures 1-9) – Study Points
|
|
|
Part 2 - Remote Sensing in the Visible and Near
Infrared Regions of the Electromagnetic Spectrum
|
|
10
|
10-Oct-07
|
Surface
reflectance – Land surfaces 1
|
Chapter 2, p. 53-57
|
|
11
|
15-Oct-07
|
Surface
reflectance – Land surfaces 2
|
Chapter 11, p. 355-373
|
|
12
|
17-Oct-07
|
Surface reflectance –
Water
|
Chapter 12, p. 409-423
|
|
13
|
22-Oct-07
|
Detection
of EM Radiation by a Vis/IR Radiometer
|
Chapter 2, p. 57-60
|
|
14
|
24-Oct-07
|
Multispectral Remote
Sensing – System Considerations
|
Chapter 7, p. 193-197
|
|
15
|
29-Oct-07
|
Multispectral Remote Sensing
– Existing systems
|
Chapter 7, p. 197-246
|
|
16
|
31-Oct-07
|
MSS Data
Analysis 1
|
|
|
17
|
5-Nov-07
|
MSS Data
Analysis 2
|
|
|
18
|
7-Nov-07
|
Land applications with
VIS/NIR imagery – 1
|
Chapters 11, 13, 14*
|
|
|
12-Nov-07
|
2nd Hourly Exam
(lectures 10-17)
|
|
|
19
|
14-Nov-07
|
Land applications with VIS/NIR
imagery – 2
|
Chapters 11, 13, 14*
|
|
20
|
19-Nov-07
|
Land applications with VIS/NIR imagery –
3
|
Chapters 11, 13, 14*
|
*Students should identify and
review application areas that are of interest to them. The material in these chapters
will not be covered in any exam.
CANCELLATION OF LAB ON 6 DECEMBER
Due to hazardous driving conditions, the University delayed opening
today until 10:00 a.m. Because of this
delay, Lab Section 0101 is cancelled.
To account for this cancellation, I have established the
following policies:
1. Students in Section 0102 have until noon tomorrow, 7 December,
to turn in the lab write-up that was due today.
2. Turning in the final lab write-up will be optional for
students in both Sections. If you do not turn in the write-up, you will not be
penalized.
3. A student in either section can turn in the final lab
write-up for extra credit. To receive this extra credit, students in Section
0101 must turn in the lab by 11:00 a.m. on 13 December and students in Section 0102 must turn in the
lab by noon on 12 December.
4. No lab write ups will be accepted for credit after 8:00
a.m. on 17 December.
Eric Kasischke
Instructor, GEOG372
Journal Articles for Lectures 18 to 20
Lecture 18
Achard
et al. 2002. Determination of deforestation rates of the world’s humid tropical
forests, Science 297: 999-1002.
Epting,
J., D. Verbyla, and B. Sorbel, Evaluation of remotely sensed indices for
assessing burn severity in interior Alaska using Landsat TM and ETM+, Rem.
Sens. Environ., 96, 328-339, 2005.
Isaev,
A.S., G.N. Korovin, S.A. Bartalev, D.V. Ershov, A. Janetos, E.S. Kasischke,
H.H. Shugart, N.H. French, B.E. Orlick, and T.L. Murphy, Using remote sensing
for assessment of forest wildfire carbon emissions, Clim. Change, 55 (1-2),
231-255, 2002.
Kasischke,
E.S., and French, N.H.F. 1995. Locating and estimating the areal extent of
wildfires in Alaskan boreal forests using multiple-season AVHRR NDVI composite
data. Remote Sensing of Environment 51:263-275.
Michalek,
J.L., N.H.F. French, E.S. Kasischke, R.D. Johnson, and J.E. Colwell, Using
Landsat TM data to estimate carbon release from burned biomass in an Alaskan
spruce complex, Int. J. Rem. Sens., 21 (2), 323-338, 2000.
Schimel et al. 2001. Recent
patterns and mechanisms of carbon exchange by terrestrial ecosystems, Nature
414 (6860): 169-172
Senkowsky,
S. 2001. A burning interest in boreal forests: researchers in Alaska link fires
with climate change, BioScience 51 (11): 916–921.
Sorbel,
B., and J. Allen, Space-based burn severity mapping in Alaska's National Parks,
Alaska Park Science, 4-11, 2005.
Sukhinin,
A.I., N.H.F. French, E.S. Kasischke, J.H. Hewson, A.J. Soja, I.A. Csiszar, E.
Hyer, T. Loboda, S.G. Conard, V.I. Romasko, E.A. Pavlichenko, S.I. Miskiv, and
O.A. Slinkin, AVHRR-based Mapping of Fires in Eastern Russia: New Products for
Fire Management and Carbon Cycle Studies, Rem. Sens. Environ., 93, 546-564,
2004.
Lecture 19
Curran, L.M., S. Trigg,A. McDonald, D.
Astiani, Y.M. Hardiono, P. Siregar, I. Caniago, E. Kasischke, Lowland forest
loss in protected areas of Indonesian Borneo, Science, 303, 1000-1003, 2004.
Curran, L.M., I. Caniago, G.D. Paoli,
D. Astianti, M. Kusneti, M. Leighton, C.E. Nirarita, and H. Haeruman, Impact of
El Nino and logging on canopy tree recruitment in Borneo, Science, 286 (5447),
2184-2188, 1999.Kasischke, E.S., and French, N.H.F. 1997. Constraints on using
AVHRR composite index imagery to study patterns of vegetation cover in boreal
forests. International Journal of Remote Sensing 18: 2403-2426.
Achard et al. 2002. Determination of
deforestation rates of the world’s humid tropical forests, Science 297: 999-1002.
Skole, D., and C. Tucker. 1993.
Tropical deforestation and habitat fragmentation in the Amazon: Satellite data
from 1978 to 1988. Science 260: 1905-09.
Lecture 20
Michalek, J.L., N.H.F. French, E.S.
Kasischke, R.D. Johnson, and J.E. Colwell, Using Landsat TM data to estimate
carbon release from burned biomass in an Alaskan spruce complex, Int. J. Rem.
Sens., 21 (2), 323-338, 2000.
Hicke, J.A., G.P. Asner, E.S. Kasischke, N.H.F.
French, J.T. Randerson, B.J. Stocks, C.J. Tucker, S.O. Los, and C.B. Field,
Post fire response of North American net primary productivity measured by
satellite imagery, Global Change
Biology, 9, 1145-1157, 2003
Tucker, C.J., H.E. Dregne, and W.W.
Newcomb, Expansion and Contraction of the Sahara Desert from 1980 to 1990, Science,
253 (5017), 299-301, 1991.