A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra

Changes in vegetation distribution, structure, and function can modify the canopy properties of terrestrial ecosystems, with potential consequences for regional and global climate feedbacks. In the Arctic, climate is warming twice as fast as compared to the global average (known as ‘Arctic amplifica...

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Published in:Remote Sensing
Main Authors: Yang, Dedi, Meng, Ran, Morrison, Bailey D., McMahon, Andrew, Hantson, Wouter, Hayes, Daniel J., Breen, Amy L., Salmon, Verity G., Serbin, Shawn P.
Language:unknown
Published: 2020
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1649081
https://www.osti.gov/biblio/1649081
https://doi.org/10.3390/rs12162638
id ftosti:oai:osti.gov:1649081
record_format openpolar
spelling ftosti:oai:osti.gov:1649081 2023-07-30T04:00:42+02:00 A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra Yang, Dedi Meng, Ran Morrison, Bailey D. McMahon, Andrew Hantson, Wouter Hayes, Daniel J. Breen, Amy L. Salmon, Verity G. Serbin, Shawn P. 2020-12-24 application/pdf http://www.osti.gov/servlets/purl/1649081 https://www.osti.gov/biblio/1649081 https://doi.org/10.3390/rs12162638 unknown http://www.osti.gov/servlets/purl/1649081 https://www.osti.gov/biblio/1649081 https://doi.org/10.3390/rs12162638 doi:10.3390/rs12162638 54 ENVIRONMENTAL SCIENCES 2020 ftosti https://doi.org/10.3390/rs12162638 2023-07-11T09:45:20Z Changes in vegetation distribution, structure, and function can modify the canopy properties of terrestrial ecosystems, with potential consequences for regional and global climate feedbacks. In the Arctic, climate is warming twice as fast as compared to the global average (known as ‘Arctic amplification’), likely having stronger impacts on arctic tundra vegetation. In order to quantify these changes and assess their impacts on ecosystem structure and function, methods are needed to accurately characterize the canopy properties of tundra vegetation types. However, commonly used ground-based measurements are limited in spatial and temporal coverage, and differentiating low-lying tundra plant species is challenging with coarse-resolution satellite remote sensing. The collection and processing of multi-sensor data from unoccupied aerial systems (UASs) has the potential to fill the gap between ground-based and satellite observations. To address the critical need for such data in the Arctic, we developed a cost-effective multi-sensor UAS (the ‘Osprey’) using off-the-shelf instrumentation. The Osprey simultaneously produces high-resolution optical, thermal, and structural images, as well as collecting point-based hyperspectral measurements, over vegetation canopies. In this paper, we describe the setup and deployment of the Osprey system in the Arctic to a tundra study site located in the Seward Peninsula, Alaska. We present a case study demonstrating the processing and application of Osprey data products for characterizing the key biophysical properties of tundra vegetation canopies. In this study, plant functional types (PFTs) representative of arctic tundra ecosystems were mapped with an overall accuracy of 87.4%. The Osprey image products identified significant differences in canopy-scale greenness, canopy height, and surface temperature among PFTs, with deciduous low to tall shrubs having the lowest canopy temperatures while non-vascular lichens had the warmest. The analysis of our hyperspectral data showed that ... Other/Unknown Material Arctic Seward Peninsula Tundra Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Remote Sensing 12 16 2638
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Yang, Dedi
Meng, Ran
Morrison, Bailey D.
McMahon, Andrew
Hantson, Wouter
Hayes, Daniel J.
Breen, Amy L.
Salmon, Verity G.
Serbin, Shawn P.
A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra
topic_facet 54 ENVIRONMENTAL SCIENCES
description Changes in vegetation distribution, structure, and function can modify the canopy properties of terrestrial ecosystems, with potential consequences for regional and global climate feedbacks. In the Arctic, climate is warming twice as fast as compared to the global average (known as ‘Arctic amplification’), likely having stronger impacts on arctic tundra vegetation. In order to quantify these changes and assess their impacts on ecosystem structure and function, methods are needed to accurately characterize the canopy properties of tundra vegetation types. However, commonly used ground-based measurements are limited in spatial and temporal coverage, and differentiating low-lying tundra plant species is challenging with coarse-resolution satellite remote sensing. The collection and processing of multi-sensor data from unoccupied aerial systems (UASs) has the potential to fill the gap between ground-based and satellite observations. To address the critical need for such data in the Arctic, we developed a cost-effective multi-sensor UAS (the ‘Osprey’) using off-the-shelf instrumentation. The Osprey simultaneously produces high-resolution optical, thermal, and structural images, as well as collecting point-based hyperspectral measurements, over vegetation canopies. In this paper, we describe the setup and deployment of the Osprey system in the Arctic to a tundra study site located in the Seward Peninsula, Alaska. We present a case study demonstrating the processing and application of Osprey data products for characterizing the key biophysical properties of tundra vegetation canopies. In this study, plant functional types (PFTs) representative of arctic tundra ecosystems were mapped with an overall accuracy of 87.4%. The Osprey image products identified significant differences in canopy-scale greenness, canopy height, and surface temperature among PFTs, with deciduous low to tall shrubs having the lowest canopy temperatures while non-vascular lichens had the warmest. The analysis of our hyperspectral data showed that ...
author Yang, Dedi
Meng, Ran
Morrison, Bailey D.
McMahon, Andrew
Hantson, Wouter
Hayes, Daniel J.
Breen, Amy L.
Salmon, Verity G.
Serbin, Shawn P.
author_facet Yang, Dedi
Meng, Ran
Morrison, Bailey D.
McMahon, Andrew
Hantson, Wouter
Hayes, Daniel J.
Breen, Amy L.
Salmon, Verity G.
Serbin, Shawn P.
author_sort Yang, Dedi
title A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra
title_short A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra
title_full A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra
title_fullStr A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra
title_full_unstemmed A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra
title_sort multi-sensor unoccupied aerial system improves characterization of vegetation composition and canopy properties in the arctic tundra
publishDate 2020
url http://www.osti.gov/servlets/purl/1649081
https://www.osti.gov/biblio/1649081
https://doi.org/10.3390/rs12162638
geographic Arctic
geographic_facet Arctic
genre Arctic
Seward Peninsula
Tundra
Alaska
genre_facet Arctic
Seward Peninsula
Tundra
Alaska
op_relation http://www.osti.gov/servlets/purl/1649081
https://www.osti.gov/biblio/1649081
https://doi.org/10.3390/rs12162638
doi:10.3390/rs12162638
op_doi https://doi.org/10.3390/rs12162638
container_title Remote Sensing
container_volume 12
container_issue 16
container_start_page 2638
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