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The |
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NRME 219
Introduction to Geomatics[1] |
Spring 2008 |
Instructors Teaching
Assistants
Thomas
Meyer
WBY Room
308 |
Daniel
Civco
WBY Room
310 |
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Richard
Vannozzi
WBY Room
303 a.r.vannozzi@uconn.edu
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Carl
Zimmerman
WBY Room
229 carl.zimmerman@uconn.edu
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Objective The overall objective of this
course is to introduce students to the principles and practices of several
aspects of geomatics, defined as “the science and technology of gathering,
analyzing, interpreting, distributing, and using geographic information”[2],
and to provide the scientific knowledge and technical skills needed to
collect and use spatial data effectively in natural resources analysis and problem
solving. The first part of the course will introduce Geographic Information
Systems (GIS) with an emphasis on the database component of a GIS and global
navigation satellite system (GNSS) technologies focusing on the U.S. Global
Positioning System (GPS). The second part of the course will focus on remote
sensing. |
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Background Maps and
map-making are central to natural resources management. Map creation often
consists of gathering and integrating data from many different sources. For example,
a photointerpreter might employ visual analysis of aerial or satellite
imagery in identifying, classifying, and delineating different land uses, or
crops, or soil types. Or, a cartographer might use GNSS receivers along with
opto-mechanical surveying equipment to locate natural resources, establish
study site boundaries, etc. Field measurements are often compiled with a
variety of existing base maps, such as USGS 1:24000 quadrangle map sheets,
aerial photographs, or US Census Bureau TIGER files. The spatial data are
given attributes that imbue them with non-spatial characteristics; e.g., the
name of a road or the age of a tree. The principles and practices of
collecting and analyzing these spatial data will be addressed in this course. The topics to be covered in the first half of the
semester’s lectures include: Ø
GIS concepts, data structures (raster vs. vector), themes, spatial
data modeling with relational databases. Ø
GNSS: basic working principles, levels of accuracy, differential correction,
export of GNSS data into databases and into a GIS. The second part of the course
addresses the principals and fundamentals of aerial and satellite remote
sensing. Traditional remote sensing systems such as aerial photography as
well as more advanced ones such as satellite multispectral scanners and
airborne digital cameras will be discussed. While conventional image
interpretation will be emphasized, principles and applications of
computer-assisted digital data analysis will be addressed. Applications of
remote sensing technology will focus on the natural environment. The
lecture-laboratory series will provide graduates of this course with a
valuable tool for understanding and managing our natural resources more
effectively. |
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The topics to be covered in the second half of the
semester’s lectures include: Ø
Electromagnetic Radiation Principles Ø
Spectral Reflectance Ø
Photographic and Non-photographic Sensors Ø
Visual Image Interpretation Ø
Computer-assisted Image Analysis Ø
Land Cover Mapping and Other Applications |
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Readings Ø Stan Aronoff. 2005. Remote
Sensing for GIS Managers. ESRI Press, Additional remote sensing textbook references, available
at the UConn Library are: Ø Avery, T. E. and G. L. Berlin.
1992. Fundamentals of Remote Sensing and Airphoto Interpretation. 5th
edition. Macmillan Publishing Co., Ø Jensen, J.R. 2007. Remote
Sensing of the Environment: An Earth Resource Perspective. 2nd
edition. Prentice Hall, Ø Jensen, John R. 2004. Introductory
Digital Image Processing: A Remote Sensing Perspective. 3rd edition. Prentice
Hall, Ø Lillesand, T.M. R.W. Kiefer, and
J.W. Chipman. 2003. Remote Sensing and Image Interpretation. 5th edition.
John Wiley & Sons, Inc., Additional
Internet-based remote sensing education resources include: Ø
Federation of American Scientists’ Remote Sensing Tutorial.[3] Ø
Ø
Centre for Remote Imaging, Sensing and Processing (CRISP) Principles
of Remote Sensing.[5] |
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Course Grading Quizzes 30% Laboratory
exercises 50% Homework
(ESRI VC) 10% Final examination 10% |
Notes
Ø A removable
storage medium for backup and archival of large datasets is required of all
students. Ø USB drives of at least 512Mb are
recommended for routine storage Ø Recordable CDs (CD-R or CD-RW) are
recommended for longer term archival Ø Attendance of lectures,
demonstrations, and laboratory exercises is mandatory. Ø Homework will consist of
self-guided study and exercises from the ESRI
Virtual Campus course Learning ArcGIS Desktop Ø Students are required to be
present at scheduled quizzes and examinations. Absence without an acceptable
excuse or prior consent will result in a test grade of zero. Ø In order to maintain a timely and
logical progression to the laboratory material, exercises will be due no
later than the assigned date. Ø The policies on cheating and
plagiarism as outlined in the Ø
In
accordance with the American Disabilities Act students having any disability
that might hamper their learning in this course should speak with the
instructor so that special arrangements might be made. |
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NRME 219 |
|
Introduction
to Geomatics[6] |
|
Spring
2008 |
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Lecture |
Laboratory |
Lecture |
Laboratory |
Lecture |
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Monday,
January 21, 2008 |
Tuesday,
January 22, 2008 |
Wednesday,
January 23, 2008 |
Thursday,
January 24, 2008 |
Friday,
January 25, 2008 |
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Course
Overview ESRI
ArcGIS Software ESRI
Virtual Campus: |
GIS as a
Data Modeling Tool: the Marriage of Automated Mapping and Relational
Databases |
Course
Overview ESRI
ArcGIS Software ESRI
Virtual Campus: |
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Monday,
January 28, 2008 |
Tuesday,
January 29, 2008 |
Wednesday,
January 30, 2008 |
Thursday,
January 31, 2008 |
Friday,
February 1, 2008 |
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The UConn
Tree Census Database: Attributes, Integrity Constraints, Data Entry, Select
Queries |
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Attributes,
Integrity Constraints, Data Entry, Select Queries |
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Attributes,
Integrity Constraints, Data Entry, Select Queries |
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Monday,February
4, 2008 |
Tuesday,
February 5, 2008 |
Wednesday,
February 6, 2008 |
Thursday,
February7, 2008 |
Friday,
February 8, 2008 |
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Database
Design: Types vs. Instances, Relationships |
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DB Design:
Forestry Example |
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DB Design
(continued) |
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Monday,
February 11, 2008 |
Tuesday,
February 12, 2008 |
Wednesday,
February 13, 2008 |
Thursday,
February 14, 2008 |
Friday,
February 15, 2008 |
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Aggregate
Queries |
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Aggregate
Queries |
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Join
Queries |
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Monday,
February 18, 2008 |
Tuesday,
February 19, 2008 |
Wednesday,
February20, 2008 |
Thursday,
February 21, 2008 |
Friday,
February 22, 2008 |
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Join
Queries |
RDBMS
4 – Aggregate and Join Queries |
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RDBMS
4 – Aggregate and Join Queries |
Quiz 1: RDBMS |
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Monday,
February 25, 2008 |
Tuesday,
February 26, 2008 |
Wednesday,
February 27, 2008 |
Thursday, February
28, 2008 |
Friday,
February 29,, 2008 |
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Ranging:
Orbits, Time, Codes,, Time Bias, Pseudo-ranges |
GPS
1 – Data Dictionaries, Receiver Operation |
Relative Positioning, Phase |
GPS
1 – Data Dictionaries, Receiver Operation |
Error Budget Differential
Correction |
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Monday, March
3, 2008 |
Tuesday,
March 4, 2008 |
Wednesday,
March 5, 2008 |
Thursday,
March 6, 2008 |
Friday,
March 7, 2008 |
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Mapping practices |
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Quiz 2: GPS 1 |
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Monday,
March10, 2008 |
Tuesday,
March 11, 2008 |
Wednesday,
March 12, 2008 |
Thursday,
March 13, 2008 |
Friday,
March 14, 2008 |
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Spring
Recess |
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NRME 219 |
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Introduction
to Geomatics |
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Spring
2008 |
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Lecture |
Laboratory |
Lecture |
Laboratory |
Lecture |
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Monday,
March 17, 2008 |
Tuesday,
March 18, 2008 |
Wednesday,
March 19, 2008 |
Thursday,
March 20, 2008 |
Friday,
March 21, 2008 |
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Aronoff Chapter 1 Aronoff Chapter 2 (optional) |
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Electromagnetic
Radiation Principles Aronoff Chapter 3 |
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Electromagnetic Radiation
Principles Quiz 3: GPS 2 |
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Monday, March
24, 2008 |
Tuesday,
March 25, 2008 |
Wednesday,
March 26, 2008 |
Thursday,
March 27, 2008 |
Friday,
March 28, 2008 |
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Spectral
Reflectance: Vegetation |
Introduction
to ArcGIS Image Analysis |
Spectral Reflectance:
Soil and Water |
Introduction
to ArcGIS Image Analysis |
Aerial
Photographic Films and Filters Aronoff Chapter 5: 111-130 |
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Monday,
March 31 2008 |
Tuesday,
April 1, 2008 |
Wednesday,
April 2, 2008 |
Thursday,
April 3, 2008 |
Friday,
April 4, 2008 |
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Aerial
Photographic Films and Filters |
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Aerial
Photographic Films and Filters |
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Aerial
Photographic Films and Filters Quiz 4: EMR and Reflectance |
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Monday,
April 7, 2008 |
Tuesday,
April 8, 2008 |
Wednesday,
April 9, 2008 |
Thursday,
April 105, 2008 |
Friday,
April 11, 2008 |
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Principles of
Visual Image Interpretation Aronoff Chapter 10:259-270 |