Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

dc.contributor.author

Duncanson, L

dc.contributor.author

Kellner, JR

dc.contributor.author

Armston, J

dc.contributor.author

Dubayah, R

dc.contributor.author

Minor, DM

dc.contributor.author

Hancock, S

dc.contributor.author

Healey, SP

dc.contributor.author

Patterson, PL

dc.contributor.author

Saarela, S

dc.contributor.author

Marselis, S

dc.contributor.author

Silva, CE

dc.contributor.author

Bruening, J

dc.contributor.author

Goetz, SJ

dc.contributor.author

Tang, H

dc.contributor.author

Hofton, M

dc.contributor.author

Blair, B

dc.contributor.author

Luthcke, S

dc.contributor.author

Fatoyinbo, L

dc.contributor.author

Abernethy, K

dc.contributor.author

Alonso, A

dc.contributor.author

Andersen, HE

dc.contributor.author

Aplin, P

dc.contributor.author

Baker, TR

dc.contributor.author

Barbier, N

dc.contributor.author

Bastin, JF

dc.contributor.author

Biber, P

dc.contributor.author

Boeckx, P

dc.contributor.author

Bogaert, J

dc.contributor.author

Boschetti, L

dc.contributor.author

Boucher, PB

dc.contributor.author

Boyd, DS

dc.contributor.author

Burslem, DFRP

dc.contributor.author

Calvo-Rodriguez, S

dc.contributor.author

Chave, J

dc.contributor.author

Chazdon, RL

dc.contributor.author

Clark, DB

dc.contributor.author

Clark, DA

dc.contributor.author

Cohen, WB

dc.contributor.author

Coomes, DA

dc.contributor.author

Corona, P

dc.contributor.author

Cushman, KC

dc.contributor.author

Cutler, MEJ

dc.contributor.author

Dalling, JW

dc.contributor.author

Dalponte, M

dc.contributor.author

Dash, J

dc.contributor.author

de-Miguel, S

dc.contributor.author

Deng, S

dc.contributor.author

Ellis, PW

dc.contributor.author

Erasmus, B

dc.contributor.author

Fekety, PA

dc.contributor.author

Fernandez-Landa, A

dc.contributor.author

Ferraz, A

dc.contributor.author

Fischer, R

dc.contributor.author

Fisher, AG

dc.contributor.author

García-Abril, A

dc.contributor.author

Gobakken, T

dc.contributor.author

Hacker, JM

dc.contributor.author

Heurich, M

dc.contributor.author

Hill, RA

dc.contributor.author

Hopkinson, C

dc.contributor.author

Huang, H

dc.contributor.author

Hubbell, SP

dc.contributor.author

Hudak, AT

dc.contributor.author

Huth, A

dc.contributor.author

Imbach, B

dc.contributor.author

Jeffery, KJ

dc.contributor.author

Katoh, M

dc.contributor.author

Kearsley, E

dc.contributor.author

Kenfack, D

dc.contributor.author

Kljun, N

dc.contributor.author

Knapp, N

dc.contributor.author

Král, K

dc.contributor.author

Krůček, M

dc.contributor.author

Labrière, N

dc.contributor.author

Lewis, SL

dc.contributor.author

Longo, M

dc.contributor.author

Lucas, RM

dc.contributor.author

Main, R

dc.contributor.author

Manzanera, JA

dc.contributor.author

Martínez, RV

dc.contributor.author

Mathieu, R

dc.contributor.author

Memiaghe, H

dc.contributor.author

Meyer, V

dc.contributor.author

Mendoza, AM

dc.contributor.author

Monerris, A

dc.contributor.author

Montesano, P

dc.contributor.author

Morsdorf, F

dc.contributor.author

Næsset, E

dc.contributor.author

Naidoo, L

dc.contributor.author

Nilus, R

dc.contributor.author

O'Brien, M

dc.contributor.author

Orwig, DA

dc.contributor.author

Papathanassiou, K

dc.contributor.author

Parker, G

dc.contributor.author

Philipson, C

dc.contributor.author

Phillips, OL

dc.contributor.author

Pisek, J

dc.contributor.author

Poulsen, JR

dc.contributor.author

Pretzsch, H

dc.contributor.author

Rüdiger, C

dc.date.accessioned

2022-02-01T14:28:56Z

dc.date.available

2022-02-01T14:28:56Z

dc.date.issued

2022-03-01

dc.date.updated

2022-02-01T14:28:54Z

dc.description.abstract

NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI's footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI's waveform-to-biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g. RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AGBD and/or height metrics. There was considerable variability in model performance across geographic strata, and areas with sparse training data and/or high AGBD values had the poorest performance. These models are used to produce global predictions of AGBD, but will be improved in the future as more and better training data become available.

dc.identifier.issn

0034-4257

dc.identifier.uri

https://hdl.handle.net/10161/24281

dc.language

en

dc.publisher

Elsevier BV

dc.relation.ispartof

Remote Sensing of Environment

dc.relation.isversionof

10.1016/j.rse.2021.112845

dc.title

Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

dc.type

Journal article

duke.contributor.orcid

Poulsen, JR|0000-0002-1532-9808

pubs.begin-page

112845

pubs.end-page

112845

pubs.organisational-group

Duke

pubs.organisational-group

Nicholas School of the Environment

pubs.organisational-group

Environmental Sciences and Policy

pubs.publication-status

Accepted

pubs.volume

270

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Duncanson et al. 2022 RSE.pdf
Size:
3.63 MB
Format:
Adobe Portable Document Format
Description:
Published version