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SOUTH DAKOTA
SCHOOL OF MINES
& TECHNOLOGY
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Syllabus, ATM 520 [Fall 2007]: Remote Sensing for Research
ATM 520: Satellite Remote Sensing
Who Where When
Reference Text
Schott, Remote Sensing, The Image Chain Approach (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)
Available on Reserve
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.
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 (2007)
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Date |
Topic
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2005/2007 Text Readings
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05 Sep
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#00: Introduction and Orientation
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Schott(1+2) Ch 1
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10 Sep
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#01: Radiative Transfer Definitions
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Schott(1+2) 3.2-3.2.1
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12 Sep
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#02: Radiance and Irradiance
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Schott(1+2) 3.3 & Bohren WLTYWB Ch 15
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17 Sep
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#03: Blackbodies & Exitance
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Schott(1+2) 3.2.2
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19 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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24 Sep
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#05: Foundations of Reflectance
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Schott(1+2) 4.2 & 4.2.1
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26 Oct |
No Class |
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01 Oct
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#06: Applying Multispectral Reflectance
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Schowengerdt 2.2
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03 Oct |
#07: Atmospheric Radiative Processes
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Kidder 3.5,3.4,3.3 & Schow 2.2
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10 Oct |
#08: Quantifying Atmospheric Radiation
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Kidder 3.3 & Schow 2
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15 Oct |
#09: The Radiative Transfer Equation
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Kidder 3
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17 Oct |
#10: Remote Sensing of the Atmosphere
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22 Oct
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#11: Physically Based Atmospheric Corrections
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24 Oct
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#12: Empirical/Image-Based Atm Corrections
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Schott Ch 6
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29 Oct
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#13: Satellite Resolution
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Richards 2.3.2 & Schott 5.3
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31 Oct
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#14: Georegistration |
Schow 8 |
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05 Nov
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#15: Orbital Mechanics
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Richards Ap. A & Kidder Ch 2
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07 Nov |
#16: Matrix Algebra
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Richards Apx C-D & Kidder Ch 2
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14 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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19 Nov
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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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26 Nov
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#19: Classification Assessment 1
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Congalton Handout & Schow 9.4.2
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28 Nov
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#20: Classification Assessment 2
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Congalton Handout & Schott 7.2.3, Schow 9.4.2
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03 Dec
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#21: Image Transforms 1
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Schow Ch 5 & Richards Ch 6
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05 Dec
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#22: Image Transforms 2
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Schow Ch 5 & Handouts
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10 Dec |
#23: Local Spatial Filters
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Schow 6.1-6.3 & Schott 7.1.2-7.1.3
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12 Dec |
#24: Course Summary
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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). 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 (2005)
| Week 01 (5 Sep) |
IDL Basics & Plotting |
| Week 02 (10-12 Sep) |
Image Input and Output |
| Week 03 (17 Sep) |
MultiBand Image Display and Fire |
| Week 04 |
Prof on Travel |
| Week 05 (01-03 Oct) |
Program Loops and Landsat Image Processing |
| Week 06 (10 Oct) |
Exam 1 |
| Week 07 (15-17 Oct) |
Exploring the ENVI GUI |
| Week 08 (22-24 Oct) |
Atmospheric Corrections |
| Week 09 (29-31 Oct) |
Georegistration |
| Week 10 (05-07 Nov) |
Review and Exam 2 |
| Week 11 (14 Nov) |
Classification 1 |
| Week 12 (19 Nov) |
Classification 2 |
| Week 13 (26-28 Nov) |
Classification Assessment |
| Week 14 (03-05 Dec) |
Image Transforms |
| Week 15 (10-12 Dec) |
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: 03 October 2007 (Wednesday)
Exam 2: 07 November 2007 (Wednesday)
Exam 3: Finals Week (TBD)
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 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 GIS Lab (MI 325) is managed by GEOL/GEOE, and we are guests in that facility.
As with IAS facilities, this is a secure laboratory, and any key codes given to students
through GEOL/GEOE will not be shared beyond the class membership. All food
and drink are also forbidden regardless of general GIS lab policy. The MI
building in total should also be secure after hours
and is specifically vulnerable to intrudors. 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. (See above
Lazarus Long quote.)
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: 09/10/2007 |
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