SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY

Sagebrush ecosystems (<i>Artemisia</i> spp.) face many threats including large wildfires and conversion to invasive annuals, and thus are the focus of intense restoration efforts across the western United States. Specific attention has been given to restoration of sagebrush systems for t...

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Main Authors: P. J. Olsoy, S. N. Barrett, B. C. Robb, J. S. Forbey, T. T. Caughlin, M. D. Blocker, C. Merriman, J. D. Nobler, J. L. Rachlow, L. A. Shipley, D. M. Delparte
Format: Article
Language:English
Published: Copernicus Publications 2021-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/127/2021/isprs-archives-XLIV-M-3-2021-127-2021.pdf
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author P. J. Olsoy
S. N. Barrett
B. C. Robb
J. S. Forbey
T. T. Caughlin
M. D. Blocker
C. Merriman
J. D. Nobler
J. L. Rachlow
L. A. Shipley
D. M. Delparte
author_facet P. J. Olsoy
S. N. Barrett
B. C. Robb
J. S. Forbey
T. T. Caughlin
M. D. Blocker
C. Merriman
J. D. Nobler
J. L. Rachlow
L. A. Shipley
D. M. Delparte
author_sort P. J. Olsoy
collection DOAJ
description Sagebrush ecosystems (<i>Artemisia</i> spp.) face many threats including large wildfires and conversion to invasive annuals, and thus are the focus of intense restoration efforts across the western United States. Specific attention has been given to restoration of sagebrush systems for threatened herbivores, such as Greater Sage-Grouse (<i>Centrocercus urophasianus</i>) and pygmy rabbits (<i>Brachylagus idahoensis</i>), reliant on sagebrush as forage. Despite this, plant chemistry (e.g., crude protein, monoterpenes and phenolics) is rarely considered during reseeding efforts or when deciding which areas to conserve. Near-infrared spectroscopy (NIRS) has proven effective in predicting plant chemistry under laboratory conditions in a variety of ecosystems, including the sagebrush steppe. Our objectives were to demonstrate the scalability of these models from the laboratory to the field, and in the air with a hyperspectral sensor on an unoccupied aerial system (UAS). Sagebrush leaf samples were collected at a study site in eastern Idaho, USA. Plants were scanned with an ASD FieldSpec 4 spectroradiometer in the field and laboratory, and a subset of the same plants were imaged with a SteadiDrone Hexacopter UAS equipped with a Rikola hyperspectral sensor (HSI). All three sensors generated spectral patterns that were distinct among species and morphotypes of sagebrush at specific wavelengths. Lab-based NIRS was accurate for predicting crude protein and total monoterpenes (R<sup>2</sup>&thinsp;=&thinsp;0.7–0.8), but the same NIRS sensor in the field was unable to predict either crude protein or total monoterpenes (R<sup>2</sup>&thinsp;&lt;&thinsp;0.1). The hyperspectral sensor on the UAS was unable to predict most chemicals (R<sup>2</sup>&thinsp;&lt;&thinsp;0.2), likely due to a combination of too few bands in the Rikola HSI camera (16 bands), the range of wavelengths (500–900&thinsp;nm), and small sample size of overlapping plants (n&thinsp;=&thinsp;28–60). These results show both the potential for scaling NIRS from the lab to the field and the challenges in predicting complex plant chemistry with hyperspectral UAS. We conclude with recommendations for next steps in applying UAS to sagebrush ecosystems with a variety of new sensors.
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spelling doaj.art-b952daf9b300460f820f26434a9bdf3d2022-12-21T22:50:54ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-08-01XLIV-M-3-202112713210.5194/isprs-archives-XLIV-M-3-2021-127-2021SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERYP. J. Olsoy0S. N. Barrett1B. C. Robb2J. S. Forbey3T. T. Caughlin4M. D. Blocker5C. Merriman6J. D. Nobler7J. L. Rachlow8L. A. Shipley9D. M. Delparte10Boise State University, Department of Biological Sciences, Boise, ID, USAIdaho State University, Geoscience Department, Pocatello, ID, USABoise State University, Department of Biological Sciences, Boise, ID, USABoise State University, Department of Biological Sciences, Boise, ID, USABoise State University, Department of Biological Sciences, Boise, ID, USAIdaho State University, Geoscience Department, Pocatello, ID, USABoise State University, Department of Biological Sciences, Boise, ID, USABoise State University, Department of Biological Sciences, Boise, ID, USAUniversity of Idaho, Fish and Wildlife Sciences, Moscow, ID, USAWashington State University, School of the Environment, Pullman, WA, USAIdaho State University, Geoscience Department, Pocatello, ID, USASagebrush ecosystems (<i>Artemisia</i> spp.) face many threats including large wildfires and conversion to invasive annuals, and thus are the focus of intense restoration efforts across the western United States. Specific attention has been given to restoration of sagebrush systems for threatened herbivores, such as Greater Sage-Grouse (<i>Centrocercus urophasianus</i>) and pygmy rabbits (<i>Brachylagus idahoensis</i>), reliant on sagebrush as forage. Despite this, plant chemistry (e.g., crude protein, monoterpenes and phenolics) is rarely considered during reseeding efforts or when deciding which areas to conserve. Near-infrared spectroscopy (NIRS) has proven effective in predicting plant chemistry under laboratory conditions in a variety of ecosystems, including the sagebrush steppe. Our objectives were to demonstrate the scalability of these models from the laboratory to the field, and in the air with a hyperspectral sensor on an unoccupied aerial system (UAS). Sagebrush leaf samples were collected at a study site in eastern Idaho, USA. Plants were scanned with an ASD FieldSpec 4 spectroradiometer in the field and laboratory, and a subset of the same plants were imaged with a SteadiDrone Hexacopter UAS equipped with a Rikola hyperspectral sensor (HSI). All three sensors generated spectral patterns that were distinct among species and morphotypes of sagebrush at specific wavelengths. Lab-based NIRS was accurate for predicting crude protein and total monoterpenes (R<sup>2</sup>&thinsp;=&thinsp;0.7–0.8), but the same NIRS sensor in the field was unable to predict either crude protein or total monoterpenes (R<sup>2</sup>&thinsp;&lt;&thinsp;0.1). The hyperspectral sensor on the UAS was unable to predict most chemicals (R<sup>2</sup>&thinsp;&lt;&thinsp;0.2), likely due to a combination of too few bands in the Rikola HSI camera (16 bands), the range of wavelengths (500–900&thinsp;nm), and small sample size of overlapping plants (n&thinsp;=&thinsp;28–60). These results show both the potential for scaling NIRS from the lab to the field and the challenges in predicting complex plant chemistry with hyperspectral UAS. We conclude with recommendations for next steps in applying UAS to sagebrush ecosystems with a variety of new sensors.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/127/2021/isprs-archives-XLIV-M-3-2021-127-2021.pdf
spellingShingle P. J. Olsoy
S. N. Barrett
B. C. Robb
J. S. Forbey
T. T. Caughlin
M. D. Blocker
C. Merriman
J. D. Nobler
J. L. Rachlow
L. A. Shipley
D. M. Delparte
SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY
title_full SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY
title_fullStr SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY
title_full_unstemmed SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY
title_short SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY
title_sort scaling up sagebrush chemistry with near infrared spectroscopy and uas acquired hyperspectral imagery
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-3-2021/127/2021/isprs-archives-XLIV-M-3-2021-127-2021.pdf
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