Claudine Tobalske is co-author on a paper in Ecological Applications, Alpine treeline ecotones are potential refugia for a montane pine species threatened by bark beetle outbreaks.
As of January 2021, Spatial Analysis Lab is now part of the Broader Impacts Group at University of Montana.
Congratulations to Di Yang on her new position as an assistant professor with WYGISC at the University of Wyoming! We look forward to our continued collaboration.
Another new paper with Di Yang as co-author, this time in Sustainability: A Metacoupling Framework for Exploring Transboundary Watershed Management.
Congratulations to Di Yang on being awarded one of the 2020 NEON-ESA Early Career Scholars!
Di Yang is co-author on a new paper in Remote Sensing: A Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century.
Di Yang presented a poster entitled Forest Mosaics: Spatial Vegetation Diversity Patterns from Stands to Regional Scales Incorporating Airborne Observatory Platform (AOP) Datasets with Satellite Data in Northeastern US this December at the 2019 AGU 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(both Dashti et al. 2019)
Jessica Mitchell and her collaborators in MSB Workshop I have put together a poster entitled Research Outreach: Leveraging NEON Data to Investigate Remote Sensing of Biodiversity Variables, presented at the annual MSBI PI meeting in Boulder, CO, May 2019.
Jessica Mitchell is lead author on a book chapter ("Integrating Hyperspectral and LiDAR Data in the Study of Vegetation") in the newly-released Hyperspectral Remote Sensing of Vegetation, Vol. I.
Longtime lab member Joe Fortier will be leaving us at the end of February for a position with the USDA Forest Service Northern Region's Geospatial Group. We wish him all the best in his new endeavor!
Claudine Tobalske gave a talk on Montana application of the Beaver Restoration Assessment Tool (BRAT) at the 2019 annual chapter meeting of the Montana Chapter of the American Fisheries Society. Download the slides for her talk in PowerPoint.
Interested in using remote sensing to map invasive weed species? Jessica Mitchell has put together a summary, Remote mapping of biological invasions: preliminary prescriptions for statewide noxious weeds in Montana (Oct 2018). It includes an extensive matrix of mapping strategies for individual weed species known or with potential to occur in Montana.
Jessica Mitchell gave a talk on remote sensing applications for Natural Heritage programs at the 2018 Natural Heritage West conference,
The Montana Wetland Council fall 2018 newsletter includes an article on SAL work by Joe Fortier to rapidly identify change in Montana's wetlands and riparian areas. This work flags areas where MTNHP's wetland mapping is most in need of updating and thus helps set program priorities.
SAL's Claudine Tobalske has long assisted John Weaver of Wildlife Conservation Society Canada with regional biodiversity conservation projects, and this work is garnering some attention (see the article Frictions form over proposed park in Y2Y corridor).
Have a need for LiDAR? The Montana LiDAR Inventory, a part of the USGS 3DEP initiative, is a discovery tool for learning where high-resolution elevation data have been collected. It also allows users to collaborate on prioritizing areas for future LiDAR acquisitions. You can draw shapes on the map to let others know where you would like LiDAR collected, what it would be used for, any potential funding available, and how urgently you need the data.