Marc Linderman

Marc Linderman is an Associate Professor at the University of Iowa, specializing in human-environment interactions and remote sensing applications. His research focuses on analyzing landscape dynamics through spatio-temporal modeling, with particular emphasis on land cover change, ecosystem variability, and anthropogenic impacts on natural systems. He holds a PhD from Michigan State University and teaches courses including The Global Environment, Environmental Remote Sensing, and Field Methods in Geography.

Research Focus: Linderman develops innovative methods using remote sensing data (including hyperspectral imaging and UAV technology) to quantify human-nature interactions at multiple scales. Key research areas include:

• Human impacts on vegetation dynamics and habitat change
• Hyperspectral applications for conservation planning
• Interannual ecosystem variability across Africa and US agricultural systems
• Spatio-temporal modeling of land-use change processes
• Integration of socioeconomic and biophysical data for environmental analysis

Publications: His recent articles consistently explore remote sensing-based analysis of environmental change, with recurring themes in land-use modeling, conservation efficacy, vegetation dynamics, and climate impacts on ecosystems. Research frequently incorporates MODIS data, spatial statistics, and case studies from protected areas like Wolong Nature Reserve.

Grants & Advising: Linderman has secured funding from NSF and other agencies for projects including hyperspectral imaging applications and distributed hydrologic modeling. He currently seeks PhD students with expertise in hyperspectral data analysis and UAV applications for agro-ecosystem research.

Research Infrastructure: Leads initiatives utilizing the Hawkeye Hyperspectral Imager for advanced vegetation analysis and collaborates with the Lab for Observing & Quantifying Aquatic & Terrestrial Ecosystems (LOQATE).