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SOUTH DAKOTA
SCHOOL OF MINES
& TECHNOLOGY
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Syllabus, ATM 520 [Fall 2011]: Remote Sensing for Research
ATM 520: Satellite Remote Sensing
Who Where When
Reference Text
Schowengerdt: Remote Sensing: Methods and Models
for
Image Processing
Optional Lab Reference
Gumley: Practical IDL
Programming (Recommended for those planning to work with IDL
for the long haul.)
Levine & Young: Unix for Dummies
(Good for UNIX newbies, they have a quickguide too)
Other Resources
Schott, Remote Sensing; an image chain approach.
Kidder and Vonder Haar, Satellite Meteorology: An Introduction.
Richards, Remote Sensing Digital Image Analysis : An Introduction
Sabins, Remote Sensing: Principles and Interpretation.
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 that are not already on
reserve in the stacks so all may use them
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.
And just to make things more interesting, the skills used in this class
should never be seen as
being contrained to the satellite remote sensing or satellite meteorology
problem domains.
Remote Sensing is another way of saying "applied radiative transfer," but it also
makes use of a
number of numerical analysis approaches, tricks and problem assault skills that
can be applied to a
broad range of problems in the earth sciences. More still, this class provides an
exellent testbed
to demonstrate quantitative skills that studnets forgot when they took the
prereqs for this very course.
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. Students without such a background but who need the
course, will be expected
to exert the necessary effort at the beginning of the class to spin up their skill
set.
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."
"The Notebooks of Lazarus Long"
Time Enough for Love
Robert Anson Heinlein
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
Principal Components and Tasseled Caps
Convolution Filters
Fourier Filters
Lecture Schedule (2011)
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Date |
Topic
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Text Refs & Reading
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30 Aug
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#00: Introduction and Orientation
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Schow Ch 1
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01 Sep
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No Class (Transit)
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06 Sep
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#01: Radiative Transfer Definitions
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Schott 3 (Handout)
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08 Sep
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#02: Radiance and Irradiance
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Schott 3 (Handout) & Bohren WLTYWB Ch 15
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13 Sep (AMS) |
#03: Blackbodies & Exitance
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Schott 3 (Handout) & Schow 2
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15 Sep |
No Class
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20 Sep
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#04: Infrared Remote Sensing
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Sabins Ch 5 & Schowegerdt 2.3-2.4
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22 Sep
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#05: Foundations of Reflectance
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Schow 2.1-2.2
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27 Sep
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#06: Applying Multispectral Reflectance
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Schowengerdt 2.2
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29 Sep |
#07: Atmospheric Radiative Processes
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Kidder 3.5,3.4,3.3 & Schow 2.2
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04 Oct |
#08: Quantifying Atmospheric Radiation
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Kidder 3.3 & Schow 2
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06 Oct |
#09: The Radiative Transfer Equation
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Kidder 3
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11 Oct |
#10: Remote Sensing of the Atmosphere
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13 Oct
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#11: Physically Based Atmospheric Corrections
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18 Oct
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#12: Empirical/Image-Based Atm Corrections
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Schott Ch 6
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20 Oct
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#13: Satellite Resolution
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Richards 2.3.2 & Schott 5.3
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25 Oct
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#14: Georegistration |
Schow 8 |
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27 Oct
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#15: Orbital Mechanics
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Richards Ap. A & Kidder Ch 2
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01 Nov |
#16: Matrix Algebra
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Richards Apx C-D & Kidder Ch 2
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03 Nov
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#17: Multivariate Classification 1
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Richards Ap. C-D & Schow 9.0-9.6
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08 Nov (BRU?)
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#18: Multivariate Classification 2
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Richards Ap. C-D + Ch 8 & Schow 9.0-
9.6
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10 Nov
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#G1: Neural Networks
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15 Nov
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#19: Classification Assessment 1
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Congalton Handout & Schow 9.4.2
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17 Nov |
#20: Classification Assessment 2
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Congalton Handout & Schott 7.2.3, Schow
9.4.2
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22 Nov
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#21: Image Transforms 1
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Schow Ch 5 & Richards Ch 6
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24 Nov
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Thanksgiving (No Class)
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29 Nov
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#22: Image Transforms 2
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Schow Ch 5 & Handouts
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01 Dec |
#23: Local Spatial Filters
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Schow 6.1-6.3
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06 Dec |
#24: Global Spatial Filters
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Schow 6.4
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11 Dec |
#25: 24 (or 25) Lectures in 50 Minutes
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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). Also 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)
| Lab 1 |
IDL Basics & Plotting |
| Lab 2
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Input & Output, and Simple Image Display |
| Lab 3 |
MultiBand Image Display and Fire |
| Lab 4 |
Program Control and Thermal Emissivity
Processing |
| Lab 5 |
Program Control and Landsat Image Processing |
| Lab 6 |
Exploring the ENVI GUI |
| Lab 7 |
Georegistration |
| Lab 8 |
Classification 1 |
| Lab 9 |
Classification 2 |
| Lab 10 |
Classification Assessment |
| Lab 11 |
Image Transforms |
| Lab 12 |
Filters |
Grading
One Fourth: Periodic Homework and Lab
Assignments
One Fourth: Paper/Project
One Fourth: Quizzes
One Fourth: Exams: First Week of the Month in the Lab
Period. Unless otherwise
specified, the cutoff for responsible material is the week before the exam.
Exam 1: 05 October (Wednesday) L01-L07
Exam 2: 02 November (Wednesday) L08-L15
Exam 3: Finals Week (14 December @ 5pm-6:50pm) L16-L25 &
G01
Exam Rescheduling Policy: Two Week Warning Required.
Paper
Students will also integrate the concepts they
have learned into a final project.
Currently this can take two paths, to be determined around the start of October.
Route 1) Students will write a detailed paper on a subject
immediately relevant to geophysical (atmospheric, ocean or terrestrial)
satellite remote sensing. Specicially a literture review akin to the first/second
chapter of a thesis.
Route 2) The students shall create education modules using the principles
and science discussed in the
class to demonstrate the use (and untility) of the various quantitative skills
taught in Calculus
and Differential Equations. The fruits of this project will be made available to
ATM undergraduates
who are still not sure why they should learn the chain rule, integration,
eigenvalues and matrix algebra.
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 to Profs Clabo and Capehart in person
and in writing and that of the campus ADA
coordinator.
Security and Laboratory Access
The ATM Computing Facilities are to be treated as secure, and any keys or
passwords given to
students through ATM will not be shared with anyone. All SDSMT
Acceptable Use Policies (AUPs)
in addition to ATM's are to be considered to be in effect when logging into any
ATM computers. Violating AUPs
can result in revoking of computer privileges. In extreme cases, this may also
invlove disciplinary action.
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
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Last Modified: 08/31/2011 |
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