GEOS 214
Remote Sensing and Geographic Information Systems Spring 2017 Division III; Cross-listed as GEOS214 / ENVI214
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This class provides a practical look at fast-evolving methods used to integrate information about the Earth’s surface with spatial data collected by disciplines such as archaeology, economics, the field sciences, history and political science. Remote sensing involves collection and processing of data from satellite and airborne sensors to yield environmental information about the Earth’s surface and lower atmosphere. Remote sensing allows regional mapping of rock materials, analysis of vegetation cover and measurement of urban areas and land-use change over time. A Geographic Information System (GIS) links satellite-based environmental measurements with spatial data such as topography, transportation networks, and political boundaries, allowing display and quantitative analysis at the same scale using the same geographic reference. This course covers concepts of remote-data capture and geographic rectification using a Global Positioning System (GPS), as well as principles of remote sensing, including linear and non-linear image enhancements, convolution filtering, and image classification. Principles of GIS include display and classification, spatial buffers, logical overlays and techniques of spatial analysis. Weekly labs focus on training in the application of techniques using data from the region and other areas of North America.
The Class: Type: lecture, three hours per week; laboratory, three hours per week
Limit: 15
Expected: 15
Class#: 3542
Requirements/Evaluation: based on weekly lab exercises, two take-home exams and a final project
Extra Info: may not be taken on a pass/fail basis; not available for the fifth course option
Prerequisites: at least one introductory course in BIOL, ENVI, or GEOS
Enrollment Preference: Geosciences and Biology majors and Environmental Studies majors and concentrators
Distributions: Division III;
Attributes: ENVI Natural World Electives; ENVS Group EG-C Electives; ENVS Methods Courses; EXPE Experiential Education Courses

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