Spectral unmixing-based Arctic plant species analysis using a spectral library and terrestrial hyperspectral Imagery: A case study in Adventdalen, Svalbard

• Published in: International Journal of Applied Earth Observation and Geoinformation
• Main Authors: Junyoung Yang, Yoo Kyung Lee, Junhwa Chi
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2023
• Subjects: Hyperspectral image; Arctic vegetation mapping; Machine learning classification; Spectral library; Spectral unmixing; Physical geography; GB3-5030; Environmental sciences; GE1-350; Adventdalen; Arctic; Svalbard; Global warming
• Online Access: https://doi.org/10.1016/j.jag.2023.103583; https://doaj.org/article/418262afa7c8470fb04cf58ff36b341a

Remote sensing is an invaluable tool for monitoring the rapid changes in Arctic vegetation distribution caused by global warming. Although hyperspectral data consisting of contiguous spectral bands enables the quantitative analysis of remote sensing data, mapping Arctic vegetation using hyperspectra...