2019 Graduate Student Showcase
 

Title of Submission

Applying Cloud Based Computing and Emerging Remote Sensing Technologies to Inform Vegetation Management Decisions

Degree Program

Geoscience, MS

Major Advisor Name

Nancy Glenn

Type of Submission

Scholarly Poster

Judging Session

9am - 10:30am - Judging Session #1

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

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