syllabus-RS-southworth-fall2010 - GIS 4037(Sect 6234 4...

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GIS 4037 (Sect. 6234) 4 Credit Hours Digital Image Processing GIS 5038C (Sect. 2926) 4 Credit Hours Remote Sensing of the Environment Dr. Jane Southworth Email: [email protected] Office: TUR 3129 Office hours: Monday 9:30 a.m.-11:30 a.m. or by appointment Lecture Laboratory Monday 1:55 3:50 p.m. Undergrads: Wednesday 1:55 a.m. 3:50 p.m. TUR 3012 TUR 3006 Graduates: Wednesday 11:45 a.m. 1:40 p.m TUR 3006 COURSE OBJECTIVES This course provides an introduction to the use of remotely sensed data in environmental research. Remote sensing is the science of acquiring data using techniques that do not require actual contact with the object or area being observed. The different sensors used to collect this information, and the interpretation techniques vary quite widely, and are being developed at an astounding rate. In this course, we will focus on the interpretation and applications of data from spaceborne imaging systems (eg: Landsat MSS, Landsat TM, Quickbird and SPOT). An example of a satellite image which could be used for Land Cover Land Use Change Research is shown below. These images belong to Dr. Mike Binford (Dept. of Geography, UF) and they show the rapid deforestation occurring across a 10-year time span in the study location: Lago Peten-Ttza, Guatemala. The number of disciplines which utilize remotely sensed data continues to increase. Geologists, geographers, climatologists, and ecologists have all adapted remote sensing techniques to their respective research. We will briefly discuss many different uses of remotely sensed data, but focus on natural resources management and ecological applications. Lecture sessions will generally be used for the discussion of fundamental topics and theory. Laboratory sessions are designed to provide hands-on experience in the processing and interpretation of remotely sensed information.
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PREREQUISITES While introductory coursework in statistics and physics are not requirements, a basic understanding of the electromagnetic (EM) spectrum, and simple statistical distributions are necessary to understand the principles being presented. A review of these topics will be given during the first few weeks of class. These topics are of critical importance, and anyone who feels they may need additional background reading or other assistance should contact the instructor early in the semester. All of the satellite imagery lab exercises will utilize the windows machines in 3006. These machines all have the
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This note was uploaded on 11/15/2011 for the course GIS 4037 taught by Professor Lueci during the Fall '10 term at University of Florida.

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syllabus-RS-southworth-fall2010 - GIS 4037(Sect 6234 4...

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