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Urban Tree Canopy--Remote Sensing Lesson
American Forests recommends that urban areas have a 40% tree canopy to help reduce air temperatures and improve air quality. Making that determination can be a painstaking process. Remotely-sensed imagery can automate...
Determining Land Cover Classification for the St. Louis River Watershed--Remote Sensing Lesson
Land cover has a significant impact on the health of a watershed. In order to monitor the change in land cover over time, an initial land cover map must be created. This project guides students through the process of...
Estimating Suitable Areas of Livestock Grazing--Remote Sensing Lesson
This learning unit uses GIS, GPS, and satellite imagery to classify land into suitable areas of grazing on a ranch west of Casper, Wyoming. The unit can be adapted for any study site. It incorporates soil data from the...
Supervised classification of wildfire burn area in the southwestern U.S.--Remote Sensing Lesson
This lesson provides additional tasks which emphasize learning about and identifying appropriate geospatial tools and resources available for working with remotely sensed images. The materials are available for download...
Land Cover Classification for Planning and Management--Remote Sensing Lesson
The goal of this project is to develop a land cover map of the transition area between Redding and Whiskeytown. Students are guided through standard procedures for image processing and classification before deciding...
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