Detailed Environmental Mapping for Resource Management
The mission of the Spatial Analysis Lab is to develop landscape-scale ecological information through partnerships with agency personnel, research groups, and conservation organizations to support effective management of terrestrial, wetland and aquatic communities.
Our research and projects involve scaling ground-based Earth observation data using remote sensing and modeling. A primary focus area is detailed vegetation and habitat mapping using imaging spectroscopy and airborne laser scanning. Applications include biodiversity conservation planning, plant trait and chemistry mapping, forest health monitoring, and invasive species detection.
We promote the use of geo-technologies in the state by delivering student internship and research opportunities, and partnering to develop workshops, training materials, and demonstration projects. Geospatial resources, training, and engagement opportunities and material are provided through this website.
The Spatial Analysis Lab is housed under the Montana Natural Heritage Program - a program of the Montana State Library’s Natural Resources Information System operated by the University of Montana.
Latest News and Opportunities
- We are recruiting for 2 field technicians to sample arthropods outside of Roundup, Montana. Positions open until filled, with work to start in April.
- Another new paper, this time in Sustainability, co-authored by Di Yang: A Metacoupling Framework for Exploring Transboundary Watershed Management.
- Congratulations to Di Yang on being awarded one of the 2020 NEON-ESA Early Career Scholars!
- Check out this new paper in Remote Sensing co-authored by Di Yang: A Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century.
- Check out the poster that Di Yang presented this December at the AGU 2019 Fall Meeting in San Francisco.
- Attention imagery users! Collection of 2019 NAIP imagery for Montana was halted by early snowfall. Learn more and view a map of coverage here.
- We welcome postdoctoral scholar Di Yang and analyst/field technician Rachel Hamre to the lab!
- Two new papers out! Regional scale dryland vegetation classification with an integrated Lidar-hyperspectral approach and Empirical methods for remote sensing of nitrogen in drylands may lead to unreliable interpretation of ecosystem function
- Poster -- Research outreach: leveraging NEON data to investigate remote sensing of biodiversity variables
- Can NASA get its satellite data into the real world?