EMIT Satellite-Based Imaging Spectroscopy Detects Dormant-Season Grassland β-Diversity

EMIT Satellite-Based Imaging Spectroscopy Detects Dormant-Season Grassland β-Diversity | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 11 February 2026 V1 Latest version Share on EMIT Satellite-Based Imaging Spectroscopy Detects Dormant-Season Grassland β-Diversity Authors : Jacob S Honn 0009-0005-6665-8811 [email protected] , Anna Schweiger 0000-0002-5567-4200 , Stephanie A Ewing 0000-0003-0713-4266 , and Daniel Atwater Authors Info & Affiliations https://doi.org/10.22541/au.177083905.58874355/v1 99 views 70 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Monitoring plant diversity is critical to ensuring the sustained resilience of ecosystem services. Remote sensing promises to offer large-scale data for monitoring and managing ecosystem health and biodiversity. Spectral variation calculated from imaging spectroscopy has been shown to correlate positively with plant species diversity. This can be used to examine how plant communities vary across a landscape, also known as β-diversity, at scales that would otherwise be impractical to sample by hand. The majority of research on the relationship between spectral variation and plant β-diversity has been conducted during the growing season. However, growing season data are not always available, especially in semi-arid grasslands with short growing seasons that are often obscured by smoke and clouds. In this study, we show that spectral β-diversity, calculated from Earth Surface Mineral Dust Source Investigation (EMIT) imaging spectroscopy, positively correlates with plant β-diversity outside the growing season, in a Greater Yellowstone Ecosystem grassland. Supplementary Material File (1046753_0_merged_1757448490.pdf) Download 1.60 MB File (emit satellite-based imaging spectroscopy detects dormant-season grassland xx-diversity.docx) Download 30.32 MB File (supporting information.docx) Download 535.68 KB Information & Authors Information Version history V1 Version 1 11 February 2026 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords ecology emit imaging spectroscopy plant science rangelands Authors Affiliations Jacob S Honn 0009-0005-6665-8811 [email protected] Montana State University View all articles by this author Anna Schweiger 0000-0002-5567-4200 Montana State University View all articles by this author Stephanie A Ewing 0000-0003-0713-4266 Montana State University View all articles by this author Daniel Atwater Montana State University View all articles by this author Funding Information National Aeronautics and Space Administration 80NSSC24K0866 Anna K. Schweiger National Aeronautics and Space Administration 23-EMIT23-0052 Anna K. Schweiger Metrics & Citations Metrics Article Usage 99 views 70 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Jacob S Honn, Anna Schweiger, Stephanie A Ewing, et al. EMIT Satellite-Based Imaging Spectroscopy Detects Dormant-Season Grassland β-Diversity. Authorea . 11 February 2026. DOI: https://doi.org/10.22541/au.177083905.58874355/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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