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My lab's research focuses on understanding environmental change by studying the causes and consequences of spatial variation in ecological processes.
Here are some of the major research themes and associated projects you might like to know more about: |
Theme I. Advanced Remote Sensing and Change Detection Algorithms
This research focuses on developing novel algorithms and methodologies to interpret satellite data for monitoring stability and change across large spatial and temporal scales.
Theme II. Geo-AI and Next-Generation Geospatial Science
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Our lab advances Geo-AI and next-generation geospatial science by integrating Large Language Models into remote sensing research and education. The studies highlighted here focus on rigorously evaluating AI performance and trustworthiness in complex geospatial analysis, positioning Geo-AI as a scalable and accountable tool for future geospatial science.
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Theme III. Aquatic Remote Sensing and Lake Health
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In this theme, we demonstrate how satellite information, combined with robust statistical and computational approaches, can be used to quantify key physical, thermal, optical, and biogeochemical lake properties, including water clarity, dissolved organic matter, surface temperature, ice phenology, and algal blooms.
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Theme IV. Landscape Ecology and Land-use Planning
Theme V. Books
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This section highlights edited books that support education and practice in remote sensing, landscape ecology, and geospatial analysis. These efforts provide resources for students, researchers, and practitioners seeking to understand environmental patterns and processes across scales, from introductory spatial analysis and landscape metrics to advanced cloud-based remote sensing and large-scale Earth observation applications.
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