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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...
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...
Growing Season Analysis--Remote Sensing Lesson
This remote sensing lesson focuses on growing seasons. The project study area is in East-central Illinois, which has some of the most fertile soils in the world. Soil fertility is often connected to issues like soil...
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...
Missouri's Geospatial Extension Program
Missouri's Geospatial Extension Program, in partnership with the University of Missouri Cooperative Extension, USDA, NASA, and the Missouri Space Grant Consortium, seeks to promote the integration of geospatial tools...
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