A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation

Ran Meng; Dedi Yang; Andrew McMahon; Wouter Hantson; Dan Hayes; Amy Breen; Shawn Serbin

doi:10.1109/IGARSS.2019.8897953

A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation

Ran Meng^*
, Dedi Yang
, Andrew McMahon
, Wouter Hantson
, Dan Hayes
, Amy Breen
, Shawn Serbin

^*Corresponding author for this work

Huazhong Agricultural University
Brookhaven National Laboratory
University of Maine
University of Alaska Fairbanks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

As climate continues to warm, detailed geospatial spectral, structural, and thermal information, related to water, carbon, and energy cycling, are required for modeling the future state of the Arctic biome. To address these needs we have developed a cost-effective, multi-sensor UAS-based remote sensing platform for acquiring high resolution spectral, structural, and thermal measurements of Arctic vegetation. We successfully deployed this remote sensing platform in three sites along an elevation gradient near Nome, Alaska in summer 2017. Corresponding workflows have been further developed for assessing spectral, structural, and thermal patterns of arctic tundra biomes from the collected datasets. Our results demonstrate that the UAS platform can successfully (1) map heterogenous vegetation composition and (2) assess corresponding spectral, structural, and thermal patterns of Arctic tundra biomes. This study not only presents a novel and innovative approach for collecting high resolution spectral, structural and thermal information for characterizing Arctic tundra biome patterns, but also a basis for informing the modeling of climate feedbacks between the biosphere and the atmosphere in response to ongoing global change.

Original language	English
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	9113-9116
Number of pages	4
ISBN (Electronic)	9781538691540
DOIs	https://doi.org/10.1109/IGARSS.2019.8897953
State	Published - Jul 2019
Externally published	Yes
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

object-oriented classification
plant traits
spectroscopy
thermal infrared
vegetation composition

Access to Document

10.1109/IGARSS.2019.8897953

Cite this

Meng, R., Yang, D., McMahon, A., Hantson, W., Hayes, D., Breen, A., & Serbin, S. (2019). A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 9113-9116). Article 8897953 (International Geoscience and Remote Sensing Symposium (IGARSS) ). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2019.8897953

Meng, Ran ; Yang, Dedi ; McMahon, Andrew et al. / A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation. 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 9113-9116 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

@inproceedings{887bcd5acf274c5e882b987b74514d55,

title = "A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation",

abstract = "As climate continues to warm, detailed geospatial spectral, structural, and thermal information, related to water, carbon, and energy cycling, are required for modeling the future state of the Arctic biome. To address these needs we have developed a cost-effective, multi-sensor UAS-based remote sensing platform for acquiring high resolution spectral, structural, and thermal measurements of Arctic vegetation. We successfully deployed this remote sensing platform in three sites along an elevation gradient near Nome, Alaska in summer 2017. Corresponding workflows have been further developed for assessing spectral, structural, and thermal patterns of arctic tundra biomes from the collected datasets. Our results demonstrate that the UAS platform can successfully (1) map heterogenous vegetation composition and (2) assess corresponding spectral, structural, and thermal patterns of Arctic tundra biomes. This study not only presents a novel and innovative approach for collecting high resolution spectral, structural and thermal information for characterizing Arctic tundra biome patterns, but also a basis for informing the modeling of climate feedbacks between the biosphere and the atmosphere in response to ongoing global change.",

keywords = "object-oriented classification, plant traits, spectroscopy, thermal infrared, vegetation composition",

author = "Ran Meng and Dedi Yang and Andrew McMahon and Wouter Hantson and Dan Hayes and Amy Breen and Shawn Serbin",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

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language = "英语",

series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",

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Meng, R, Yang, D, McMahon, A, Hantson, W, Hayes, D, Breen, A & Serbin, S 2019, A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation. in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings., 8897953, International Geoscience and Remote Sensing Symposium (IGARSS) , Institute of Electrical and Electronics Engineers Inc., pp. 9113-9116, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8897953

A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation. / Meng, Ran; Yang, Dedi; McMahon, Andrew et al.
2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 9113-9116 8897953 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation

AU - Meng, Ran

AU - Yang, Dedi

AU - McMahon, Andrew

AU - Hantson, Wouter

AU - Hayes, Dan

AU - Breen, Amy

AU - Serbin, Shawn

PY - 2019/7

Y1 - 2019/7

N2 - As climate continues to warm, detailed geospatial spectral, structural, and thermal information, related to water, carbon, and energy cycling, are required for modeling the future state of the Arctic biome. To address these needs we have developed a cost-effective, multi-sensor UAS-based remote sensing platform for acquiring high resolution spectral, structural, and thermal measurements of Arctic vegetation. We successfully deployed this remote sensing platform in three sites along an elevation gradient near Nome, Alaska in summer 2017. Corresponding workflows have been further developed for assessing spectral, structural, and thermal patterns of arctic tundra biomes from the collected datasets. Our results demonstrate that the UAS platform can successfully (1) map heterogenous vegetation composition and (2) assess corresponding spectral, structural, and thermal patterns of Arctic tundra biomes. This study not only presents a novel and innovative approach for collecting high resolution spectral, structural and thermal information for characterizing Arctic tundra biome patterns, but also a basis for informing the modeling of climate feedbacks between the biosphere and the atmosphere in response to ongoing global change.

AB - As climate continues to warm, detailed geospatial spectral, structural, and thermal information, related to water, carbon, and energy cycling, are required for modeling the future state of the Arctic biome. To address these needs we have developed a cost-effective, multi-sensor UAS-based remote sensing platform for acquiring high resolution spectral, structural, and thermal measurements of Arctic vegetation. We successfully deployed this remote sensing platform in three sites along an elevation gradient near Nome, Alaska in summer 2017. Corresponding workflows have been further developed for assessing spectral, structural, and thermal patterns of arctic tundra biomes from the collected datasets. Our results demonstrate that the UAS platform can successfully (1) map heterogenous vegetation composition and (2) assess corresponding spectral, structural, and thermal patterns of Arctic tundra biomes. This study not only presents a novel and innovative approach for collecting high resolution spectral, structural and thermal information for characterizing Arctic tundra biome patterns, but also a basis for informing the modeling of climate feedbacks between the biosphere and the atmosphere in response to ongoing global change.

KW - object-oriented classification

KW - plant traits

KW - spectroscopy

KW - thermal infrared

KW - vegetation composition

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M3 - 会议稿件

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SP - 9113

EP - 9116

BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Meng R, Yang D, McMahon A, Hantson W, Hayes D, Breen A et al. A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 9113-9116. 8897953. (International Geoscience and Remote Sensing Symposium (IGARSS) ). doi: 10.1109/IGARSS.2019.8897953

A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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