Image from TRMM website - http://trmm.gsfc.nasa.gov/ |
Introduction to Environmental Remote Sensing Department of Geography, University of Delaware Fall 1999 |
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| Instructor
Tracy DeLiberty |
229 Pearson Hall | TR 11:00-Noon
and by appt. |
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Fax: 831-6654 |
| Teaching Assistant
Dan Graybeal |
212A Pearson Hall | M 1-3:30pm office, W 7-8:30pm Brew HaHa |
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Course Description
Remote sensing can be defined as the science
of observation from a distance. It departs from in situ data
collection because the sensor is remote from the phenomenon collecting
information. Electromagnetic radiation is transformed into information
about the earth's resources to derive biophysical parameters to monitor
and model natural (e.g., deforestation) and cultural (e.g., land use conversion
at the urban fringe, population) processes.
This course is designed to introduce you to remote sensing of the environment through digital image processing of satellite data. The goal is to develop an understanding of inventorying, mapping, and monitoring earth resources through the measurement, analysis and interpretation of electromagnetic energy emanating from features of interest.
Class Meetings
Class will meet every Tuesday and Thursday from
9:30 - 10:45am in Room 203 of Pearson Hall throughout the semester. Classes
will also meet periodically in Pearson Hall Xterm and PC lab in Room 114
& 116 which will be announced prior in class.
Prerequisites
There are no formal prerequisites. However, prior
familiarity with elementary statistical methods, windows and UNIX is useful.
Text and Readings
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| 2 In-class Exams (100 points each) |
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| Project - Graduate students only |
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| TOTAL Grads |
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GEOG666-047 Special Problem -
Environmental
Remote Sensing (3 credits)
Graduate
students are expected to complete all the requirements discussed above
for Geog 474 with the addition of an individual or small group remote sensing
project. The objective of the
project is to develop a research proposal to design and implement a project
monitoring a biophysical variable using remotely sensed image data (e.g.,
monitoring deforestation, estimating tropical precipitation, flood analysis,
measuring urban heat island, estimating soil erosion). Project should
include data acquisition considerations, necessary preprocessing techniques
and/or integration of imagery with ancillary data, analysis to perform,
and field verification.
Last revised on September 14, 1999 by Tracy DeLiberty.