Nur and Bachmann publish article on soil moisture content
Nayma Binte Nur, Ph.D. candidate, and Charles Bachmann, professor in the Chester F. Carlson Center for Imaging Science, published “Comparison of Soil Moisture Content Retrieval Models Utilizing Hyperspectral Goniometer Data and Hyperspectral Imagery From an Unmanned Aerial System” in a special issue of the Journal of Geophysical Research: Biogeosciences on The Earth in Living Color: Spectroscopic and Thermal Imaging of the Earth: NASA’s Decadal Survey Surface. The article discusses the task of accurately retrieving soil moisture content for better understanding environmental processes.
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