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CS92PROD
Working with Remote Sensing Data with Applications in Social Science Research

QAC 234
Fall 2021
Section: 01  
Course Cluster and Certificates: Applied Data Science Certificate

The last decade has seen an increase in application of remote sensing data in social science research: nighttime light data is used to support research into economic development and urbanization, measurements of pollutants serve as a proxy for economic activity, digital elevation models are used by historians to reconstruct most probable locations of ancient roadways, and archeologists use image analysis to discover ancient sites. This course will introduce students to the universe of publicly available remote sensing data products and will teach the students how to work with the remote sensing data (e.g., using Google's Earth Engine and its scripting platform). Topics covered in the course include the manipulation of geometric features, making of maps and animations of environmental variables, generation of time series for geographic regions, and operations on aerial photography.
Credit: .5 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: Laboratory CourseGrading Mode: Graded
Level: UGRD Prerequisites: QAC155 OR QAC156 OR COMP112 OR COMP114
Fulfills a Major Requirement for: (CADS)(DATA-MN)
Past Enrollment Probability: Not Available

Last Updated on MAY-16-2021
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