Cardille, Jeffrey
Associate Professor
Ph.D. (University of Wisconsin)
M.Sc. (University of Wisconsin)
M.Sc. (Georgia Institute of Technology)
B.Sc. (Carnegie Mellon University)
Jeff is a professor at 51吃瓜网 who studies land-cover change, forest connectivity, and lake carbon content. He works on large environmental questions at regional, continental, and global scales using a wide variety of approaches, including remote sensing, GIS, supercomputing, simulation modeling, and cutting-edge techniques in computer science. As a teacher, he has taught around 1000 students about geographic information systems at McGill. Born in Pennsylvania, Jeff graduated from the well-regarded computer science program at Carnegie Mellon in Pittsburgh. After several years in the private sector at Bell Communications Research, he left the corporate world for graduate school, where he earned two M.S. degrees, with a Ph.D. from the University of Wisconsin-Madison. For his Ph.D. research he created one of the first maps of agriculture and pasture use across the entire Amazon basin, then developed a model of water and carbon cycling across 7000 lakes in Northern Wisconsin for his postdoc at UW-Madison鈥檚 Center for Limnology. As a professor he developed forest connectivity maps across all of Canada, regional assessments of carbon content in lakes, and algorithms to assess land-cover change across the entire 40-year satellite record in collaboration with Google鈥檚 powerful Earth Engine platform.
- Development and application of a new algorithm for updating land-cover classifications capable of ingesting data from multiple sensors of varying quality and specifications;
- Development and interpretation of a forest connectivity dataset for all of Canada;
- Estimation of lake carbon content from satellite imagery of northern-hemisphere lakes.
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With the dramatic increase in availability and accessibility of spatial data through advances in remote sensing and GIS, virtual globes, and computing power, coming decades will reward research that uses these revolutionary new ways of viewing, interpreting, and forecasting changes in environmental systems. Using a wide array of approaches, I explore the impact of abiotic, biotic, and human factors on spatial patterns at multiple scales. My research focuses on both basic and applied questions of environmental change across large areas, paying particular attention to issues having an explicit spatial component. My group鈥檚 research addresses several disciplines, including landscape ecology, remote sensing, and data handling and visualization.