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Analysis of close-range hyperspectral images of vegetation communities in a high Arctic tundra ecosystem
Author(s): Astrid D. Chacon; Miguel Velez-Reyes; Stephen M. Escarzaga; Sergio A. Vargas Zesati; Craig E. Tweedie
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Paper 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.

Paper Details

Date Published: 29 May 2019
PDF: 8 pages
Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109861Q (29 May 2019); doi: 10.1117/12.2520670
Show Author Affiliations
Astrid D. Chacon, NOAA Ctr. for Earth Systems Science and Remote Sensing Technology (United States)
The Univ. of Texas at El Paso (United States)
Miguel Velez-Reyes, NOAA Ctr. for Earth Systems Science and Remote Sensing Technology (United States)
The Univ. of Texas at El Paso (United States)
Stephen M. Escarzaga, NOAA Ctr. for Earth Systems Science and Remote Sensing Technology (United States)
The Univ. of Texas at El Paso (United States)
Sergio A. Vargas Zesati, The Univ. of Texas at El Paso (United States)
Craig E. Tweedie, NOAA Ctr. for Earth Systems Science and Remote Sensing Technology (United States)
The Univ. of Texas at El Paso (United States)


Published in SPIE Proceedings Vol. 10986:
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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