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Remote sensing is the science and
art of collecting and interpreting information about the earth's
surface through non-contact methods. Remote Sensing of the
Environment teaches the theory and methodology of applied remote
sensing technologies. We explore the principles of
electromagnetic radiation, as well as the interactions of solar
radiation with the earth's atmosphere and the three main classes
of surface features--vegetation, soil, and water. The central
portion of the course will be devoted to the characteristics of
the multi-spectral sensor systems and data products of the
earth-resources satellite systems from which data are the most
accessible in the U.S.--Landsat , SPOT , and the NOAA Polar
Orbiters. Computer processing of digital satellite images will
be introduced. The concluding sections of the course will
discuss thermal and active microwave (RadarSat and ERS2 ) remote
sensing from satellites. New and future satellites will also be
discussed including IKONOS , QuickBird Landsat 7 , SPOT 5 , EOS
PM (Aqua), EOS AM (Terra), and LightSAR.
A GIS is "an organized collection
of computer hardware, software, geographic data, and personnel
designed to efficiently capture, store, update, manipulate,
analyze, and display all forms of geographically referenced
information." The goal of this course is to gain a basic
understanding of the concepts and issues underpinning geographic
information science including the functional components of GIS,
spatial data models and structures, management of geographic
information, the implementation of GIS, and use of GIS software
for solving spatial problems. The course will be divided into
lectures and computer lab sessions. Familiarity with the
Internet and the World Wide Web will help you in this course
Satellite image processing teaches
the theory and methods of digital image processing. We will
explore the principles of image statistics extraction,
radiometric & geometric correction, image enhancement, thematic
classification, change detection, and integration of satellite
imagery and geographic information systems databases. Computer
processing of digital satellite images will be a central part of
the course. Many different satellite image data sets will be
processed using the ERDAS Imagine image processing software
package.
Geography 970:174(g) is an
advanced GIS course covering applications of Geographic
Information Systems (GIS), and is intended for students who have
already acquired an introductory knowledge of the field. The
course places a strong emphasis on building hands-on skills as
well as advanced theoretical knowledge in spatial analysis. The
course includes the theory and methods involved in GIS model
building, raster modeling, digital terrain analysis in raster
and TIN, spatial interpolation, and geo-statistical analysis.
The practical component involves the use of GIS software
packages including ArcInfo, ArcGIS Spatial Analyst, ArcGIS 3D
Analyst, ArcGIS Geostatistical Analyst, and ArcIMS.
The objective of this course is to
introduce the basic concepts used in GPS. Emphasis is placed on
instrument familiarization, field data collection and
processing, real-time and post-differential correction, and
GPS-GIS integration. The course will be divided into lectures
and computer lab sessions. Familiarity with the Internet and the
World Wide Web will help you in this course. There are no formal
prerequisites for this class. However, students are expected to
come to this class with basic computer literacy including the
Windows operating system. Ideally students will have an
understanding of GIS software packages such as ArcGIS and also
have a basic theoretical understanding of GIS.
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