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Remote Sens. 2018, 10(10), 1621;

Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA

School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
Center for Spatial Technologies and Remote Sensing (CSTARS), Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA
Department of Geosciences, Boise State University, Boise Center Aerospace Lab, 1910 University Drive, Boise, ID 83725, USA
Author to whom correspondence should be addressed.
Received: 4 September 2018 / Revised: 8 October 2018 / Accepted: 10 October 2018 / Published: 12 October 2018
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The biochemical traits of plant canopies are important predictors of photosynthetic capacity and nutrient cycling. However, remote sensing of biochemical traits in shrub species in dryland ecosystems has been limited mainly due to the sparse vegetation cover, manifold shrub structures, and complex light interaction between the land surface and canopy. In order to examine the performance of airborne imaging spectroscopy for retrieving biochemical traits in shrub species, we collected Airborne Visible Infrared Imaging Spectrometer—Next Generation (AVIRIS-NG) images and surveyed four foliar biochemical traits (leaf mass per area, water content, nitrogen content and carbon) of sagebrush (Artemesia tridentata) and bitterbrush (Purshia tridentata) in the Great Basin semi-desert ecoregion, USA, in October 2014 and May 2015. We examined the correlations between biochemical traits and developed partial least square regression (PLSR) models to compare spectral correlations with biochemical traits at canopy and plot levels. PLSR models for sagebrush showed comparable performance between calibration (R2: LMA = 0.66, water = 0.7, nitrogen = 0.42, carbon = 0.6) and validation (R2: LMA = 0.52, water = 0.41, nitrogen = 0.23, carbon = 0.57), while prediction for bitterbrush remained a challenge. Our results demonstrate the potential for airborne imaging spectroscopy to measure shrub biochemical traits over large shrubland regions. We also highlight challenges when estimating biochemical traits with airborne imaging spectroscopy data. View Full-Text
Keywords: imaging spectroscopy; biochemical traits; dryland ecosystem; shrub species; AVIRIS-NG imaging spectroscopy; biochemical traits; dryland ecosystem; shrub species; AVIRIS-NG

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Qi, Y.; Ustin, S.L.; Glenn, N.F. Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA. Remote Sens. 2018, 10, 1621.

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