FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS

Laura Duncanson; Amy Neuenschwander; Carlos Alberto Silva; Paul Montesano; Eric Guenther; Nathan Thomas; Steven Hancock; David Minor; Joanne White; Mike Wulder; John Armston

doi:10.1109/IGARSS47720.2021.9553209

FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS

Laura Duncanson
, Amy Neuenschwander
, Carlos Alberto Silva
, Paul Montesano
, Eric Guenther
, Nathan Thomas
, Steven Hancock
, David Minor
, Joanne White
, Mike Wulder
, John Armston

History, Geography & Social Sciences

University of Maryland
University of Texas at Austin
SSAI
NASA Goddard Space Flight Center, Greenbelt, Maryland
University of Edinburgh
Natural Resources Canada

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

5 Citations (Scopus)

Abstract

Forest aboveground biomass is a key environmental variable needed for constraining models of the global carbon cycle, monitoring stocks and fluxes of carbon in forests, and optimizing forest management toward climate mitigation. To date, limited satellite data have been available that are sensitive to Aboveground Biomass Density (AGBD), and the availability of new satellite lidar data streams from NASA's Global Ecosystem Dynamics Investigation (GEDI) [1] and Ice Cloud and Elevation Satellite (ICESat-2) [2] enable a new generation of AGBD estimates representative of 2018-2022 conditions. Here we explore the transferability of GEDI's AGBD estimation framework to ICESat-2. We compare distribution of Relative Height (RH) metrics from both products between 50 and 52° N, and find that ICESat-2's RH metrics are biased high compared to GEDI. We reprocess ICESat-2 RH metrics to make them more comparable to GEDI height metrics, and present a comparison of biomass estimates based on the original and new ICESat-2 RH metrics in boreal forests.

Original language	English
Title of host publication	2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	670-672
Number of pages	3
ISBN (Electronic)	978-1-6654-0369-6
ISBN (Print)	978-1-6654-0368-9 , 978-1-6654-4762-1
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9553209
Publication status	Published - 12 Oct 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE Xplore
Volume	2021-July
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21

UN SDGs

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

SDG 13 Climate Action

Keywords

Biomass
Boreal
Forest
Lidar

Access to Document

10.1109/IGARSS47720.2021.9553209

Cite this

Duncanson, L., Neuenschwander, A., Silva, C. A., Montesano, P., Guenther, E., Thomas, N., Hancock, S., Minor, D., White, J., Wulder, M., & Armston, J. (2021). FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 670-672). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2021-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS47720.2021.9553209

@inproceedings{bdf45bce35274dd8915b3759ef226411,

title = "FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS",

abstract = "Forest aboveground biomass is a key environmental variable needed for constraining models of the global carbon cycle, monitoring stocks and fluxes of carbon in forests, and optimizing forest management toward climate mitigation. To date, limited satellite data have been available that are sensitive to Aboveground Biomass Density (AGBD), and the availability of new satellite lidar data streams from NASA's Global Ecosystem Dynamics Investigation (GEDI) [1] and Ice Cloud and Elevation Satellite (ICESat-2) [2] enable a new generation of AGBD estimates representative of 2018-2022 conditions. Here we explore the transferability of GEDI's AGBD estimation framework to ICESat-2. We compare distribution of Relative Height (RH) metrics from both products between 50 and 52° N, and find that ICESat-2's RH metrics are biased high compared to GEDI. We reprocess ICESat-2 RH metrics to make them more comparable to GEDI height metrics, and present a comparison of biomass estimates based on the original and new ICESat-2 RH metrics in boreal forests.",

keywords = "Biomass, Boreal, Forest, Lidar",

author = "Laura Duncanson and Amy Neuenschwander and Silva, \{Carlos Alberto\} and Paul Montesano and Eric Guenther and Nathan Thomas and Steven Hancock and David Minor and Joanne White and Mike Wulder and John Armston",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

month = oct,

day = "12",

doi = "10.1109/IGARSS47720.2021.9553209",

language = "English",

isbn = "978-1-6654-0368-9 ",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "670--672",

booktitle = "2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS",

address = "United States",

}

Duncanson, L, Neuenschwander, A, Silva, CA, Montesano, P, Guenther, E, Thomas, N, Hancock, S, Minor, D, White, J, Wulder, M & Armston, J 2021, FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS. in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2021-July, Institute of Electrical and Electronics Engineers Inc., pp. 670-672, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9553209

FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS. / Duncanson, Laura; Neuenschwander, Amy; Silva, Carlos Alberto et al.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Institute of Electrical and Electronics Engineers Inc., 2021. p. 670-672 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2021-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

TY - GEN

T1 - FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS

AU - Duncanson, Laura

AU - Neuenschwander, Amy

AU - Silva, Carlos Alberto

AU - Montesano, Paul

AU - Guenther, Eric

AU - Thomas, Nathan

AU - Hancock, Steven

AU - Minor, David

AU - White, Joanne

AU - Wulder, Mike

AU - Armston, John

PY - 2021/10/12

Y1 - 2021/10/12

N2 - Forest aboveground biomass is a key environmental variable needed for constraining models of the global carbon cycle, monitoring stocks and fluxes of carbon in forests, and optimizing forest management toward climate mitigation. To date, limited satellite data have been available that are sensitive to Aboveground Biomass Density (AGBD), and the availability of new satellite lidar data streams from NASA's Global Ecosystem Dynamics Investigation (GEDI) [1] and Ice Cloud and Elevation Satellite (ICESat-2) [2] enable a new generation of AGBD estimates representative of 2018-2022 conditions. Here we explore the transferability of GEDI's AGBD estimation framework to ICESat-2. We compare distribution of Relative Height (RH) metrics from both products between 50 and 52° N, and find that ICESat-2's RH metrics are biased high compared to GEDI. We reprocess ICESat-2 RH metrics to make them more comparable to GEDI height metrics, and present a comparison of biomass estimates based on the original and new ICESat-2 RH metrics in boreal forests.

AB - Forest aboveground biomass is a key environmental variable needed for constraining models of the global carbon cycle, monitoring stocks and fluxes of carbon in forests, and optimizing forest management toward climate mitigation. To date, limited satellite data have been available that are sensitive to Aboveground Biomass Density (AGBD), and the availability of new satellite lidar data streams from NASA's Global Ecosystem Dynamics Investigation (GEDI) [1] and Ice Cloud and Elevation Satellite (ICESat-2) [2] enable a new generation of AGBD estimates representative of 2018-2022 conditions. Here we explore the transferability of GEDI's AGBD estimation framework to ICESat-2. We compare distribution of Relative Height (RH) metrics from both products between 50 and 52° N, and find that ICESat-2's RH metrics are biased high compared to GEDI. We reprocess ICESat-2 RH metrics to make them more comparable to GEDI height metrics, and present a comparison of biomass estimates based on the original and new ICESat-2 RH metrics in boreal forests.

KW - Biomass

KW - Boreal

KW - Forest

KW - Lidar

UR - https://www.scopus.com/pages/publications/85125993016

UR - https://www.scopus.com/pages/publications/85125993016#tab=citedBy

U2 - 10.1109/IGARSS47720.2021.9553209

DO - 10.1109/IGARSS47720.2021.9553209

M3 - Conference proceeding (ISBN)

AN - SCOPUS:85125993016

SN - 978-1-6654-0368-9

SN - 978-1-6654-4762-1

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 670

EP - 672

BT - 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

Duncanson L, Neuenschwander A, Silva CA, Montesano P, Guenther E, Thomas N et al. FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Institute of Electrical and Electronics Engineers Inc. 2021. p. 670-672. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS47720.2021.9553209

FOREST ABOVEGROUND BIOMASS ESTIMATION WITH GEDI AND ICESAT-2 IN BOREAL FORESTS

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this