Analysis of close-range hyperspectral images of vegetation communities in a high Arctic tundra ecosystem

Astrid D. Chacon; Miguel Velez-Reyes; Stephen M. Escarzaga; Sergio A. Vargas Zesati; Craig E. Tweedie

doi:10.1117/12.2520670

29 May 2019 Analysis of close-range hyperspectral images of vegetation communities in a high Arctic tundra ecosystem

Astrid D. Chacon, Miguel Velez-Reyes, Stephen M. Escarzaga, Sergio A. Vargas Zesati, Craig E. Tweedie

Proceedings Volume 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV; 109861Q (2019) https://doi.org/10.1117/12.2520670
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Close-range hyperspectral imaging is a valuable but often underutilized tool for rapid, non-destructive and automated assessment of vegetation functional dynamics in terms of both structure and physiology. During the 2017 summer growing season, several hyperspectral images were collected at close proximity over a variety of vegetation plots measuring approximately 1m2 which consisted of a heterogeneous architecture of vascular and non-vascular plant species and spanning variable soil moisture gradients. These long-term ecological monitoring vegetation plots are associated with the International Tundra Experiment - Arctic Observing Network (ITEX-AON) in Utqiaġvik, Alaska (formerly known as Barrow). Over the past two decades, ITEX has aimed to understand how Arctic tundra is responding to warming both across plant communities and through time. Hyperspectral images were collected in the visible to near-infrared range using a SOC710 VP (400-1000nm) hyperspectral imager from Surface Optics Corporation (SOC). Here we present initial results of analysis of these images using spectral unmixing techniques, which offer the potential to characterize and highlight presence, structure, and vigor of these highly complex heterogeneous tundra plant communities.

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Astrid D. Chacon, Miguel Velez-Reyes, Stephen M. Escarzaga, Sergio A. Vargas Zesati, and Craig E. Tweedie "Analysis of close-range hyperspectral images of vegetation communities in a high Arctic tundra ecosystem", Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109861Q (29 May 2019); https://doi.org/10.1117/12.2520670

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KEYWORDS

Hyperspectral imaging

Vegetation

Ecosystems

Biological research

Composites

Image analysis

Imaging systems

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