|
SOUTH DAKOTA
SCHOOL OF MINES
& TECHNOLOGY
|
|
Syllabus, ATM 520 [Fall 2009]: Remote Sensing for Research
ATM 520: Satellite Remote Sensing
Who Where When
Optional
Reference Text
Richards, Remote Sensing: Methods and Models for
Image Processing
(Purchase at
the student's discretion)
Optional Lab Reference
Gumley: Practical IDL
Programming (Recommended for those planning to work with IDL
for the long haul.)
Wang: Beginning Programming for
Professors Dummies (a pretty good rundown on
the basics of programming)
Appleman: How Computer Programming
Works (Basics of Computing in General)
Levine & Young: Unix for Dummies
(Good for UNIX
newbies, they have a quickguide too)
Other Resources
Kidder and Vonder Haar, Satellite Meteorology: An
Introduction.
Sabins,
Remote Sensing: Principles and Interpretation.
Richards, Remote Sensing Digital Image Analysis : An
Introduction
Schowengerdt: Remote Sensing: Methods and Models for Image
Processing
Liou, An Introduction to Atmospheric Radiation
Quattorchi and Goodchild, Scale in Remote Sensing and GIS.
Stephens,
Remote Sensing of the Lower Atmosphere
As a professional courtesy, please keep all other remote
sensing, image processing and
radiative transfer texts in the stacks
Overview
A fusion of radiative transfer, image processing,
spatial
data analysis and engineering, Remote Sensing presents
the Student with the chance to learn a truly interdisciplinary set of topics
using satellite remote sensing of the atmosphere and land-surface as a
backdrop.
Topping off this diverse core of subject material, the student will
be introduced to each basic concept through the fusion of theory and
practice
towards the Earth System Science. Subject matter will range from atmospheric
probing to geology.
The student will also be introduced to the Interactive
Data Language (IDL) which is useful well beyond the scope of
this course and is an increasingly marketable skill.
Prerequisites
This course makes heavy use of differential and integral calculus (SDSMT
equivalents of MATH 123 & 125). Therefore, no student will be
admitted without 2 progressive semesters of Calculus. The mandatory
lab component of the course involves programming in the IDL language.
Therefore, practical or classroom experience in programming is to the
student's benefit.
Undergraduate
Students with sufficient background should be invited to attend after a brief
interview with the professor.
Students interested in applying remote sensing to hypersepctral remote
sensing and related high-end image processing approaches should give
grave and
serious consideration to a course in Linear Algebra (MATH 315) during their
student career. Students expecting to do considerable work with diverse
forms of
geospatial data may also want to consider the GIS courses offered by the
Geology
and Geological Engineering departments.
"Anyone who cannot cope with mathematics is not fully human. At best
he is a tolerable subhuman who has learned to wear shoes, bathe, and not
make messes in the house."
Robert Anson Heinlein
Time Enough for Love
Students are invited and encouraged to consider the follow-on course,
ATM
625, Scaling in Geosciences.
Program Certifications
This course satisfies the IAS MS program Technical Methods
coursework requirement.
This class also satisfies the GS 1340 Remote Sensing
Coursework
requirement.
Course Topics
THE PHYSICS OF REMOTE SENSING
Introductories
Surface Emission Processes
Plank's Law/Wein's Law/Stephan-Boltzmann's Law
Remote Sensing of Temperature, Fire and Hotspots
Surface Reflective Processes
Remote Sensing of Surface Vegetation and Geology Spectra
Atmospheric Scattering, Absorption and Emission
Beer's Law and The Radiative Transfer Equation
Atmospheric Soundings and Wind Observations
Cloud, Ice, Fog Delineation
Atmospheric Correction Models
SATELLITE DESIGN AND ORBITAL MECHANICS
Radiative Transfer Principles and Image Resolution
Kepler's Laws and Satellite Orbital Mechanics
IMAGE INTERPRETATION AND PROCESSING
Image Navigation and Geo-registration
Classification
Multivariate Supervised Classification
Multivariate Unsupervised Classification
Introduction to Neural Networks
Image Filtering and Data Reduction
Convolution Filters
Principal Components and Tasseled Caps
Lecture Schedule (2009)
|
Date |
Topic
|
Text Readings
|
|
02 Sep
|
#00: Introduction and Orientation
|
Schott(Eds1+2) Ch 1
|
|
04 Sep
|
#01: Radiative Transfer Definitions
|
Schott(1+2) 3.2-3.2.1
|
|
16 Sep
|
#02: Radiance and Irradiance
|
Schott(1+2) 3.3 & Bohren WLTYWB Ch 15
|
|
18 Sep |
#03: Blackbodies & Exitance
|
Schott(1+2) 3.2.2
|
|
23 Sep
|
#04: Infrared Remote Sensing
|
Sabins Ch 5 & Schowegerdt 2.3-2.4
|
|
25 Sep
|
#05: Foundations of Reflectance
|
Schott(1+2) 4.2 & 4.2.1
|
|
30 Sep
|
#06: Applying Multispectral Reflectance
|
Schowengerdt 2.2
|
|
02 Oct |
#07: Atmospheric Radiative Processes
|
Kidder 3.5,3.4,3.3 & Schow 2.2
|
|
07 Oct |
#08: Quantifying Atmospheric Radiation
|
Kidder 3.3 & Schow 2
|
|
09 Oct |
#09: The Radiative Transfer Equation
|
Kidder 3
|
|
14 Oct |
#10: Remote Sensing of the Atmosphere
|
|
|
16 Oct
|
#11: Physically Based Atmospheric Corrections
|
|
|
21 Oct
|
#12: Empirical/Image-Based Atm Corrections
|
Schott Ch 6
|
|
23 Oct
|
#13: Satellite Resolution
|
Richards 2.3.2 & Schott 5.3
|
|
28 Oct
|
#14: Georegistration |
Schow 8 |
|
30 Oct
|
#15: Orbital Mechanics
|
Richards Ap. A & Kidder Ch 2
|
|
04 Nov |
#16: Matrix Algebra
|
Richards Apx C-D & Kidder Ch 2
|
|
06 Nov
|
#17: Multivariate Classification 1
|
Richards Ap. C-D & Schow 9.0-9.6
|
|
13 Nov
|
#18: Multivariate Classification 2
|
Richards Ap. C-D + Ch 8 & Schow 9.0-
9.6
|
|
18 Nov
|
#19: Classification Assessment 1
|
Congalton Handout & Schow 9.4.2
|
|
20 Nov |
#20: Classification Assessment 2
|
Congalton Handout & Schott 7.2.3, Schow
9.4.2
|
|
02 Dec
|
#21: Image Transforms 1
|
Schow Ch 5 & Richards Ch 6
|
|
04 Dec
|
#22: Image Transforms 2
|
Schow Ch 5 & Handouts
|
|
09 Dec |
#23: Local Spatial Filters
|
Schow 6.1-6.3 & Schott 7.1.2-7.1.3
|
|
11 Dec |
#24: Course Summary
|
All of the Above |
Laboratory
The ATM 520 Lab strongly focuses on the IDL programming language
first and its graphical user interface (ENVI)
second. Students should be prepared to begin
working with
programming and command line scripting interface from the get-
go.Reason: Most
Remote Sensing Packages rely on the "Black Box Concept" where
the user points
and clicks without being directly involved in the process in question. This
divorces the user from the "meat" of the operation and can
introduce error. "If
you don't know what is going in inside of the black box, you don't
know what's
going on, period." Even worse, GUI users may find themselves one day
with out
the benefit of fancy packages (as was your professor's predicament
when he first
arrived at Mines). IDL provides the user the chance to "roll one's own"
utility scripts,
many of which superficially resemble standard programming languages (e.g.,
Fortran, C and C++) yet retain the advantages of an interactive utility.
This permits the user to directly interact with data in a step-by-step
fashion or as an unattended stream of instructions (like a program).
Furthermore, a number of techniques acquired in this class can be applied
to a number of non-remote sensing applications where a straight
programming
approach may be more expedient. Students should feel strongly
encouragedTM to
apply the software to their other course and research work.
Lab Schedule (Tentative)
| Week
01 |
IDL Basics & Plotting |
| Week 02
|
Input & Output, and Simple Image
Display |
| Week 03 |
MultiBand Image Display and Fire |
| Week 05 |
Program Loops and Landsat Image Processing |
| Week 07 |
Exploring the ENVI GUI |
| Week 08 |
Atmospheric Corrections |
| Week 09 |
Georegistration |
| Week 11 |
Classification 1 |
| Week 12 |
Classification 2 |
| Week 13 |
Classification Assessment |
| Week 14 |
Image Transforms |
| Week 15 |
Filters and The End |
Grading
One Fourth: Periodic Homework and Lab
Assignments
One Fourth: Paper
One Fourth: Quizzes
One Fourth: Exams First Wednesday Lab of the
Month.
All exams are cumulative. Unless otherwise
specified, the
cutoff for responsible material is one week before the
exam.Exam 1: 07 October (Wednesday)
Exam 2: 04 November (Wednesday)
Exam 3: Finals Week (15 December @ 10am)
Exam Rescheduling Policy: Two Week Warning
Required.
Quizes Vs. Exams
There will be a brief quiz every other Thursday (or more frequently pending
students preparation for class) covering the previous weeks' lecture and
relevant
lab material. Quizzes will be short answer (typically one or two
questions) and serve to test basic knowledge of specific course items.
Exams will be given once
monthly after September (with the final serving as the December exam)
during
the Thursday Lab Period. Each exam will be four to five extended
questions
(science related as opposed to programming). Here the goal will be
to assess your ability to integrate, apply and extrapolate course material
learned from the first day of class to the cutoff before the given exam.
All
exams are integrative and mimic your future comprehensives in style to
aid your preparation.
Paper
Students will also integrate the concepts they
have learned into a final project. The
fruits of this work will be presented in a detailed paper on a subject
immediately relevant to geophysical
(atmospheric, ocean or terrestrial) satellite remote sensing.
The parameters for this paper will by the first week of
October.
Machine/Human Compatibility And Related Items
Computer-based Visualization is a critical part of this course.
Specific
physical issues (e.g., vision problems including red-green colorblindness) to
the individual, machine related or otherwise, should
be brought to my immediate attention in person and that of the campus ADA
coordinator. Mathphobia/Mathanxiety is not an ADA-recognized
condition.
Security and Laboratory Access
The IAS Computing Facilities are to be treated as secure, and any keys or
passwords given to students
through ATM/IAS will not be shared beyond the class membership. All
SDSMT
AUPs are to be considered to be in effect when logging into IAS
computers.
Violating AUPs can result in revocation of computer privileges.
The MI
building in total should also be secure after
hours
and it is specifically vulnerable to intruders. Security incidents and
confrontations have occurred in the
building. Those students requiring off-hour
access that currently do not have authorization will be provided necessary
keys
and properly briefed on building security and what to do to people who use
rocks
to prop open the outside doors.
Students should exercise appropriate computer ethics, professional courtesy
and
disk discipline. Students requiring computational infrastructure
beyond
the normal scope of this course should consult with the professor.
SDSM&T Electronic Devices Policy
"Please turn off your cell phone before class starts. No text messaging in
class. No headphones. If you wish to use a laptop in this class for purposes of
note taking, that’s great; however, you will be required to download DyKnow
software and then join
ATM 450 to activate. Any attempt to circumvent the DyKnow monitoring
system will be considered a form of cheating and a breach of academic
integrity. Note that according to “Policy Governing Academic Integrity” in the
SDSM&T Undergraduate Catalog, the instructor of record for this course has
discretion of how acts of academic dishonesty are penalized, subject to the
appeal process, and that “Penalties may range from requiring the student to
repeat the work in question to failure in the course” (72-73). No other use of
any other electronic/computer media is allowed during class time."SD School of Mines
Specifically for ATM 520 and
520L: As ATM
graduate students and upperclassmen you are "on duty"
professionals in this course. I will treat you as such. Therefore,
cell phones on vibrate only under
reasonable (e.g., emergency) use. Instant Messaging and other
non-relevant, inappropriate and otherwise non-directed internet usage is
absolutely forbidden. You will be given a secure UNIX/LINUX account,
observe all proper security and acceptable use policies. Respect all
professional boundaries account-wise. Do not "borrow",
"acquire" software,
code from colleagues or other sources. This is a "closed
source"
laboratory and course.
SD BOR Freedom of Learning Statement
"Under Board of Regents and University policy student academic
performance may be evaluated solely on an academic basis, not on opinions
or conduct in matters unrelated to academic standards. Students should be
free to take reasoned exception to the data or views offered in any course of
study and to reserve judgment about matters of opinion, but they are
responsible for learning the content of any course of study for which they are
enrolled. Students who believe that an academic evaluation reflects
prejudiced or capricious consideration of student opinions or conduct
unrelated to academic standards should contact the dean of the college which
offers the class to initiate a review of the evaluation."
SD Board of Regents
Supplemental Materials
Contact: William Capehart
This page has been visited 223 times since 08/24/2009
| http://www.hpcnet.org/sdsmt/ias/courses/atm520 |
Last Modified: 09/02/2009 |
|
|
