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
- 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.
- Please help us spread the word across campus about upcoming changes to Montana State Library web service offerings in their ESRI Amazon Web Services (AWS) environment. The changes are tentatively scheduled for September 23, 2019. The Montana Spatial Data Infrastructure: Web Service Updates announcement outlines the new web services that will be available. Changes are likely to cause significant impacts to items using these services in ArcGIS Online: web maps, layers, story maps, geocoding service, etc.
- 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?