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

Read full text
Authors: Jacob S Honn, Anna K. Schweiger, S. A. Ewing, Daniel Z. Atwater
Cited by: 0

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.

Fields of Study & Subjects

Remote Sensing in Agriculture Remote-Sensing Image Classification Ecology and Vegetation Dynamics Studies

Publication details

Publication date
11 February 2026
Language
EN
Document type
Preprint