Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data
Shrub proliferation across the Arctic from climate warming is expanding herbivore habitat but may also alter forage quality. Dietary fibers—an important component of forage quality—influence shrub palatability, and changes in dietary fiber concentrations may have broad ecological implications. While...
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ftmdpi:oai:mdpi.com:/2072-4292/12/16/2579/ 2023-08-20T04:04:27+02:00 Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data Jyoti S. Jennewein Jan U.H. Eitel Jeremiah R. Pinto Lee A. Vierling 2020-08-11 application/pdf https://doi.org/10.3390/rs12162579 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Agriculture and Vegetation https://dx.doi.org/10.3390/rs12162579 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 16; Pages: 2579 hyperspectral multispectral vegetation indices dietary fibers Arctic willow Text 2020 ftmdpi https://doi.org/10.3390/rs12162579 2023-07-31T23:54:48Z Shrub proliferation across the Arctic from climate warming is expanding herbivore habitat but may also alter forage quality. Dietary fibers—an important component of forage quality—influence shrub palatability, and changes in dietary fiber concentrations may have broad ecological implications. While airborne hyperspectral instruments may effectively estimate dietary fibers, such data captures a limited portion of landscapes. Satellite data such as the multispectral WorldView-3 (WV-3) instrument may enable dietary fiber estimation to be extrapolated across larger areas. We assessed how variation in dietary fibers of Salix alaxensis (Andersson), a palatable northern shrub, could be estimated using hyperspectral and multispectral WV-3 spectral vegetation indices (SVIs) in a greenhouse setting, and whether including structural information (i.e., leaf area) would improve predictions. We collected canopy-level hyperspectral reflectance readings, which we convolved to the band equivalent reflectance of WV-3. We calculated every possible SVI combination using hyperspectral and convolved WV-3 bands. We identified the best performing SVIs for both sensors using the coefficient of determination (adjusted R2) and the root mean square error (RMSE) using simple linear regression. Next, we assessed the importance of plant structure by adding shade leaf area, sun leaf area, and total leaf area to models individually. We evaluated model fits using Akaike’s information criterion for small sample sizes and conducted leave-one-out cross validation. We compared cross validation slopes and predictive power (Spearman rank coefficients ρ) between models. Hyperspectral SVIs (R2 = 0.48–0.68; RMSE = 0.04–0.91%) outperformed WV-3 SVIs (R2 = 0.13–0.35; RMSE = 0.05–1.18%) for estimating dietary fibers, suggesting hyperspectral remote sensing is best suited for estimating dietary fibers in a palatable northern shrub. Three dietary fibers showed improved predictive power when leaf area metrics were included (cross validation ρ = +2–8%), ... Text Arctic MDPI Open Access Publishing Arctic Remote Sensing 12 16 2579 |
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Open Polar |
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MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
hyperspectral multispectral vegetation indices dietary fibers Arctic willow |
spellingShingle |
hyperspectral multispectral vegetation indices dietary fibers Arctic willow Jyoti S. Jennewein Jan U.H. Eitel Jeremiah R. Pinto Lee A. Vierling Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data |
topic_facet |
hyperspectral multispectral vegetation indices dietary fibers Arctic willow |
description |
Shrub proliferation across the Arctic from climate warming is expanding herbivore habitat but may also alter forage quality. Dietary fibers—an important component of forage quality—influence shrub palatability, and changes in dietary fiber concentrations may have broad ecological implications. While airborne hyperspectral instruments may effectively estimate dietary fibers, such data captures a limited portion of landscapes. Satellite data such as the multispectral WorldView-3 (WV-3) instrument may enable dietary fiber estimation to be extrapolated across larger areas. We assessed how variation in dietary fibers of Salix alaxensis (Andersson), a palatable northern shrub, could be estimated using hyperspectral and multispectral WV-3 spectral vegetation indices (SVIs) in a greenhouse setting, and whether including structural information (i.e., leaf area) would improve predictions. We collected canopy-level hyperspectral reflectance readings, which we convolved to the band equivalent reflectance of WV-3. We calculated every possible SVI combination using hyperspectral and convolved WV-3 bands. We identified the best performing SVIs for both sensors using the coefficient of determination (adjusted R2) and the root mean square error (RMSE) using simple linear regression. Next, we assessed the importance of plant structure by adding shade leaf area, sun leaf area, and total leaf area to models individually. We evaluated model fits using Akaike’s information criterion for small sample sizes and conducted leave-one-out cross validation. We compared cross validation slopes and predictive power (Spearman rank coefficients ρ) between models. Hyperspectral SVIs (R2 = 0.48–0.68; RMSE = 0.04–0.91%) outperformed WV-3 SVIs (R2 = 0.13–0.35; RMSE = 0.05–1.18%) for estimating dietary fibers, suggesting hyperspectral remote sensing is best suited for estimating dietary fibers in a palatable northern shrub. Three dietary fibers showed improved predictive power when leaf area metrics were included (cross validation ρ = +2–8%), ... |
format |
Text |
author |
Jyoti S. Jennewein Jan U.H. Eitel Jeremiah R. Pinto Lee A. Vierling |
author_facet |
Jyoti S. Jennewein Jan U.H. Eitel Jeremiah R. Pinto Lee A. Vierling |
author_sort |
Jyoti S. Jennewein |
title |
Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data |
title_short |
Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data |
title_full |
Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data |
title_fullStr |
Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data |
title_full_unstemmed |
Toward Mapping Dietary Fibers in Northern Ecosystems Using Hyperspectral and Multispectral Data |
title_sort |
toward mapping dietary fibers in northern ecosystems using hyperspectral and multispectral data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12162579 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Remote Sensing; Volume 12; Issue 16; Pages: 2579 |
op_relation |
Remote Sensing in Agriculture and Vegetation https://dx.doi.org/10.3390/rs12162579 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12162579 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
16 |
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2579 |
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