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GEOG 311:
MAPS & IMAGE INTERPRETATION
-- Introduction to Remote
Sensing of the Environment
Instructor: Xin Miao
Department of
Geography and Biology
Phone:
(775)784-6287 (G-Lab)
Email:
miaoxin@biodiversity.unr.edu
Web:
http://www.brrc.unr.edu/~miaoxin/class/geog311.htm
Classroom: TBA
Classroom: MS 227; Lab: LMR351
Time
for formal lectures: WF 9:00AM-9:50AM
Time
for laboratory instruction: M 9:00AM-9:50AM
COURSE DESCRIPTION –
Spring 2006
An introduction to the principles and practices of aerial
photography, photogrammetry, photo interpretation and remote sensing
for use in geography, geology, resource management and environmental
protection.
COURSE OBJECTIVES
The
aim of the course is to show students how to learn principles of
remote sensing and image analysis. These include the ways in which
remote sensing systems are used to acquire data, how these data may
be analyzed and how information on our environment can be derived
from such data for natural resources and human settlements, and how
information derived from remotely sensed data can be integrated with
other spatial data such as map data, census data and field survey
data in a geographic information system.
At the end of the course, students should be capable of advising on
the best types of imagery, scales and analysis procedures for
information extraction. They should be capable of undertaking
various analyses using digital image analysis software (ENVI). They
should also be able to transfer information between digital image
analysis systems and GIS systems.
To
insure everyone has a knowledge of physical basis for remote sensing
(electromagnetic radiation principles); the properties and
characteristics of aerial photographs; which characteristics of land
cover types can be mapped/measured from remote sensing;the type of
remote sensing needed to fulfill a user's objectives; general
principles of digital image processing for remote sensing
applications and future applications of remote sensing to geography
and related fields.
TEXTBOOK
Jensen J., 2000. Remote Sensing of the
Environment: An Earth Resource Perspective, Prentice Hall.
HOMEWORK AND LABS
Homework and labs are important components of this course. One 1-2
hour lab per week. Topics of labs include:
Lab 1:
Surfing the World-Wide Web in Search for Data (W2/W3)
Lab 2:
Introduction to ENVI (W4)
Lab 3:
Introduction to ENVI (cont.) (W6)
Lab 4:
Photogrammetry (W7)
Lab 5:
ENVI lab for Interactive Display Functions (W8)
Lab 6:
ENVI lab for Interactive Display Functions (cont.) (W10)
Lab 7:
Classification Methods (W11)
Lab 8:
Classification Methods (cont.) (W12)
CLASS SCHEDULE AND
OUTLINE (Spring 2006)
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Week 1 |
01/23
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Introduction and background (1) [Ch 1]
·
Student background survey
·
What is remote sensing?
·
How to learn it and why to
learn it?
·
Resources |
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01/25 |
|
01/27 |
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Week 2 |
01/30 |
Lab 1: Surfing the World-Wide Web in Search for Data
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02/01 |
Remote sensing physics (1) –Electromagnetic Radiation Principles
[Ch 2] |
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02/03 |
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Week 3 |
02/06 |
Lab 1 (cont.) |
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02/08 |
History of Aerial Photography [Ch 3] |
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02/10 |
Aerial photography [Ch 4] |
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Week 4 |
02/13 |
Lab 2: Introduction to ENVI |
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02/15 |
Aerial photography [Ch 4] |
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02/17 |
Visual Image Interpretation [Ch 5] |
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Week 5 |
02/20 |
Holiday |
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02/22 |
Photogrammetry [Ch 6] |
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02/24 |
Photogrammetry (cont.) [Ch 6] |
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Week 6 |
02/27 |
Lab 2: Introduction to ENVI (cont.) |
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03/01 |
Review for Mid-term |
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03/03 |
Multispectral remote sensing [Ch 7] |
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Week 7 |
03/06 |
Cancelled (AAG
conference) |
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03/08 |
Cancelled (AAG
conference) |
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03/10 |
Cancelled (AAG
conference) |
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Week 8 |
03/13 |
Lab 3: Photogrammetry |
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03/15 |
Multispectral remote sensing (cont.) [Ch 7] |
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03/17 |
Mid-term Exam |
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Week 9 |
03/20-3/24 |
Spring Break |
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Week 10 |
03/27 |
Lab 4: ENVI lab for Interactive Display Functions |
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03/29 |
Remote sensing physics (2) -Thermal Infrared Remote Sensing [Ch
8] |
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03/31 |
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Week 11 |
04/03 |
Lab 4: ENVI lab for Interactive Display Functions (cont.) |
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04/05 |
Active Microwave
(RADAR) Remote Sensing (Dr. Gary Oppliger) |
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04/07 |
Lab 5: Classification
Methods |
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Week 12 |
04/10 |
Lab 5: Classification
Methods (cont.) |
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04/12 |
Lab 5: Classification
Methods (cont.) |
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04/14 |
Remote Sensing of Vegetation [Ch 10] |
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Week 13 |
04/17 |
Lab 5: Classification
Methods (cont.) |
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04/19 |
Remote Sensing for geology [Ch 13] (Dr. Jim Taranik) |
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04/21 |
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Week 14 |
04/24 |
Remote Sensing of Vegetation (cont.) [Ch 10] |
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04/26 |
Remote Sensing of Water [Ch 11] |
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04/28 |
Remote Sensing the Urban Landscape [Ch 12] |
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Week 15 |
05/01 |
Remote Sensing the Urban Landscape [Ch 12], LiDAR |
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05/03 |
Review |
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05/05 |
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Week 16 |
05/08 |
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05/10 |
PREP Day |
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05/11(Th) |
Final Exam: 9:45-11:45 AM (MS 227) |
Canadian Journal of Remote Sensing
Cartographica
Cartography and Geographic Information Systems
Geographic Information Sciences
International Journal of Geographical Information Systems
International Journal of Remote Sensing
Photogrammetric Engineering and Remote Sensing
Remote Sensing of Environment
IEEE Transactions on Geoscience and Remote Sensing
Reference
Lillesand T. M. and Chipman J. W., 2005. Remote
Sensing and Image Interpretation. Wiley, John & Sons.
Jensen J., 2000. Introductory Digital Image
Processing: A Remote Sensing Perspective, Prentice Hall.
Resources
Web
of Science:
http://portal17.isiknowledge.com/
W.M.Keck Earth Sciences & Mining Research Information Center
http://keck.library.unr.edu/
Association of American Geographers
http://www.aag.org/
The
Imaging & Geospatial Information Society
http://www.asprs.org/
Google:
http://scholar.google.com/
NASA:
http://www.nasa.gov
A
remote sensing tutorial for natural resource managers
http://www.ag.unr.edu/serdp/tutorial/descriptive.htm
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