SERC > Site Guides > GIS Resources > GIS Activities

More Ways to Navigate

Projects and Collaborations
Find projects on which SERC is a leader or collaborator

Search all of SERC

GIS Activities


Help

Show all pages

Current Search Limits

Subject

showing only Environmental Science > Waste Show all Subject

Results 1 - 5 of 5 matches

Use of GNOME to model oil spills
Tim Walsh, Wayland Baptist University
Tim Walsh, Wayland Baptist University Summary Using GNOME software (freely available from NOAA) students model various oil spill scenarios in the Galveston Bay area. Students adjust a variety of parameters ...

Consequences of Modern Energy Use: A Remote Sensing analysis of the gulf oil spill using ArcGIS software.
Jared Beeton, Adams State College
Students download satellite imagery and conduct a remote sensing analysis of the Deepwater Horizon oil spill using ArcGIS software.

Explorations of Spatial Distributions of Environmental and Health-Related Data
Nancy Thorpe, Hagerstown Community College
This activity introduces the student to basic concepts of spatial distribution of environmental and health data with an easy to use on-line mapping program. -

Litter Retriever with a GPS Receiver
DATA: GPS waypoints TOOL: GPS unit, Google Earth SUMMARY: Track litter in a park or public space with a GPS receiver. Then import the data into Google Earth and consider the ideal location for new trash receptacles.

Transport of heavy metals in the Clark Fork River
Kathleen Harper, University of Montana-Missoula, The
This is an activity about transport of sediment contaminated by copper, arsenic, and other heavy metals that was deposited into the Clark Fork River channel as the result of historical mining activity. The Clark Fork River between Butte and Milltown, Montana has been the focus of several large superfund projects designed to address the impacts of this legacy of mining in the watershed. This activity is used in an introductory physical geology lab (primarily non-majors) with students who may have limited experience working with quantitative analysis and analyzing graphs.


« Previous Page      Next Page »