Stuart E. Marsh
Professor, Geography & Regional Development
Professor and Chair, Arid Lands Resource Sciences Graduate Interdisciplinary Program
Director, Arizona Remote Sensing Center
Ph.D., 1979, Applied Earth Science, Stanford University, Stanford, California
M.S., 1975, Applied Earth Science, Stanford University, Stanford, California
B.S., 1973, Geology, George Washington University, Washington, DC
Phone: (520) 621-8574
FAX: (520) 621-3816
E-mail: smarsh@ag.arizona.edu
Office of Arid Lands Studies Suite 205
1955 E. Sixth Street
Tucson, AZ 85719
USA
Curriculum Vitae
Personal home page
Research
I am currently involved in a broad range of interdisciplinary research designed to assess surface environmental conditions utilizing advanced remote sensing and geographic information system technologies. These research efforts have attempted to enhance our abilities to address problems concerning land use and land cover change, environmental hazards and sustainability. Most recently I have been involved in projects that have brought these tools, data, and information products directly into the hands of natural resource managers through applications on the World Wide Web.
Project Involvement
- RangeView: Geospatial Tools for Natural Resource Management
- AZ FireMap: An Internet Mapping Software Project for Arizona State Lands
- ARIA: The Arizona Regional Image Archive
- Stability of Savanna Ecosystems in Semi-arid Environments
- Remote Sensing of Land Status on the A-7 Ranch in Support of Water Protection
- Establishing a Basis for Carbon Management Policy at the State Level: Carbon Dynamics at Site, Landscape, and Regional Scales for Arizona State Lands
- Creation of a GIS for Six Cities in Arid Environments in Africa
- A Terrestrial Ecology Study to Assess the Impact of Man's Activities on Rangeland Resources - Saudi Arabia
- Characterizing Landscapes Accessed by Sonoran Pronghorn Antelope Using Remote Sensing
- A Hyperspectral Imaging Systems for Identifying Nematode Infestations in Arizona's Specialty Crops
- Bt Cotton: Understanding Potential Human Impact Factors via Proximity Analysis
- Assimilation of NASA Science Results and Data into National Decision Support Systems
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