Keely Roth

Keely Roth is a highly skilled and innovative professional specializing in remote sensing, geospatial analysis, data science, and plant ecology.

With a Ph.D. in Geography and Remote Sensing, an M.A. in Geography, and a B.A. in International Studies, her academic background is rich and diverse.

Having held various positions at The Climate Corporation, including Data Science Manager and Lead Data Scientist, Keely has extensive experience in leading complex data analyses and effectively communicating results.

She is currently an Adjunct Assistant Professor at the University of Utah, where she continues to contribute to the fields of geography, remote sensing, and data analysis.

Keely's expertise spans remote sensing and image analysis, geospatial analysis and mapping, data science and statistical analysis, as well as plant ecology and ecosystem science.

She is proficient in using tools such as R, Python, QGIS, Git, and PySpark, and is well-versed in various geospatial data platforms.

Keely Roth is passionate about collaborating with others to tackle scientific challenges, develop innovative solutions, and make new discoveries.

Her enthusiasm for exploring the relationships between pixels and processes shines through in her work, where she leverages her knowledge and skills to create insightful maps and analyses.

Keely's academic and professional journey has equipped her with a unique set of skills that make her a valuable asset in the fields of remote sensing, statistics, and plant science.

For discussions on remote sensing, stats, or plant-related projects, Keely is open to engaging with fellow professionals and enthusiasts.