Working with Remote Sensing Data with Applications in Social Science Research
QAC 234
Fall 2021
| Section:
01
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| 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. |
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| Credit: .5 |
Gen Ed Area Dept:
NSM QAC, SBS QAC |
| Course Format: Laboratory Course | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: QAC155 OR QAC156 OR COMP112 OR COMP114 |
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Fulfills a Requirement for: (CADS)(DATA-MN)(PSYC) |
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Past Enrollment Probability: Not Available |
| SECTION 01 - 1st Quarter | | Special Attributes: CQC |
Major Readings: Wesleyan RJ Julia Bookstore
Google Earth Engine Community Tutorials: https://developers.google.com/earth-engine/tutorials/edu
Donaldson, Dave, and Adam Storeygard, The View from Above: Applications of Satellite Data in Economics. Journal of Economic Perspectives, Vol. 30, No. 4, Fall 2016, pp.171-98
Marx, Andrew J., Detecting Urban Destruction in Syria: A Landsat-based approach. Remote Sensing Applications: Society and Environment, Vol. 4 (2016), pp. 30-36
Liss, Brady, Matthew D. Howland, Thomas E. Levy, Testing Google Earth Engine for the automatic identification and vectorization of archaeological features: A case study from Faynan, Jordan. Journal of Archeological Science: Reports, Vol. 15 (2017), pp. 299-304
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Examinations and Assignments:
Weekly assignments and a final project.
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Additional Requirements and/or Comments:
Students will need to individually apply for access to the Google Earth Engine
( https://earthengine.google.com/ ), which is currently in non-commercial beta release.
Basic programming background is a prerequisite for the course and that is why COMP 112, QAC 155, etc. are listed as formal prerequisites. The course instructor will approve Pre-req overrides for students who satisfy the basic requirements through other course work. |
| Instructor(s): Oleinikov,Pavel V Times: ...W... 07:10PM-10:00PM; Location: ALLB113; |
| Total Enrollment Limit: 12 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 7 | GRAD: X | SR non-major: 4 | JR non-major: 4 | SO: 4 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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