Applying Cloud Based Computing and Emerging Remote Sensing Technologies to Inform Vegetation Management Decisions
Presentation Date
4-10-2019
Degree Program
Geoscience, MS
Major Advisor Name
Nancy Glenn
Type of Submission
Scholarly Poster
Abstract
The semi-arid ecosystem of the great basin range is vulnerable to an increasing fire cycle due to invasive species such as cheatgrass. Emerging remote sensing platforms (Sentinel-2 and UAV imagery), when combined with cloud-based computing (Google Earth Engine), can be used to create high-resolution maps of dominant species over regional areas of land. Since the process is cloud-based it allows for large amounts of data to be computed in minimal time. Once created, vegetation maps can be used to identify potential areas that are at-risk of disturbance or invasive species and inform land management decisions.
Funding Information
Mountain Home Air Force Base, Cooperative Agreement Number: W9128F-17-2-0025
COinS