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2013 Ph.D., Geographical Sciences, University of Maryland
2005 MUP, Urban Planning, University of California at Berkeley
1997 B.S., Humanities, US Air Force Academy
Andrew J. Marx is an associate professor of the practice of Spatial Sciences at the Spatial Sciences Institute of the University of Southern California Dornsife College of Letters, Arts and Sciences. He also is associate professor with the USC Institute for Creative Technologies, the university's Department of Defense-sponsored University Affiliated Research Center (UARC) working in collaboration with the U.S. Army Research Laboratory.
Throughout his academic and professional career, he has focused on improving the uses of satellite imagery to inform domestic and international public policy. His research interests include the development of remote-sensing methods and techniques for time-series analysis of urban watershed/forestry management, conflict monitoring and urbanization.
Before joining the USC Spatial Sciences Institute, Marx was an assistant professor of geographic information systems at Claremont Graduate University’s Center for Information Systems and Technology. He previously served as a foreign affairs analyst at the U.S. Department of State, a research fellow at the U.S. Holocaust Memorial Museum’s Center for the Prevention of Genocide, and an officer in the U.S. Air Force.
Marx’s current research includes “LA’s Urban Forest Since 1985, Understanding the Drought through Historical Satellite Data” (U.S. Forest Service), “Improving Estimates of the Martian Cratering Rate” (Microsoft), and “Detecting Human Rights Violations in Syria; a Landsat-Based Approach.”
“Analysis of Panamanian DMSP/OLS nightlights corroborates suspicions of inaccurate fiscal data.” Remote Sensing Applications: Society and Environment. Accepted July 2017.
“UAV data for multi-temporal Landsat analysis of historic reforestation: a case study in Costa Rica.” International Journal of Remote Sensing 38 (8-10), 2331-2348 (2017).
“Detecting urban destruction in Syria: A Landsat-based approach.” Remote Sensing Applications: Society and Environment 4 (2016): 30–6.
“Employing Moderate Resolution Sensors in Human Rights and International Humanitarian Law Monitoring.” PhD diss., University of Maryland, 2013. Digital Repository at UMD.
Co-authored with Samuel Goward. “Remote Sensing in Human Rights and International Humanitarian Law Monitoring: Concepts and Methods.” The Geographical Review 103 (2013): 100–11.
Co-authored with Tatiana Loboda. “Landsat-based early warning system to detect the destruction of villages in Darfur, Sudan.” Remote Sensing of Environment 136 (2013): 126–34.
Co-authored with Samuel Goward, et al. “Complementarity of Resource Sat-1 AWiFS and Landsat TM/ETM+ sensors.” Remote Sensing of Environment, 123 (2012): 41–56.
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