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

作者：Laura Innice Duncanson, James R. Kellner, John David Armston, Ralph Dubayah, David Minor, Steven Lee Hancock, Sean P. Healey, Paul L. Patterson, Svetlana Saarela, Suzanne Mariëlle Marselis, Carlos E. Silva, Jamis M. Bruening, S. J. Goetz, Hao Tang, M. A. Hofton, Bryan J. Blair, S. B. Luthcke, Temilola Fatoyinbo, Katharine A. Abernethy, Alfonso Alonso, Hans‐Erik Andersen, Paul Aplin, Timothy R. Baker, Nicolas Barbier, Jean François Bastin, Peter Biber, Pascal Boeckx, Jan Bogaert, Luigi Boschetti, Peter B. Boucher, Doreen S. Boyd, David F. R. P. Burslem, Sofía Calvo-Rodríguez, Jérôme Chave, Robin L. Chazdon, David B. Clark, Deborah A. Clark, Warren B. Cohen, David A. Coomes, Piermaria Corona, Katherine C. Cushman, Mark E. J. Cutler, James William Dalling, Michele Dalponte, Jonathan P. Dash, Sergio de‐Miguel, Songqiu Deng, Peter Woods Ellis, Barend F. N. Erasmus, Patrick A. Fekety, Alfredo Fernández-Landa, Antonio de Oliveira Ferraz, Rico Fischer, Adrian G. Fisher, Antonio García‐Abril, Terje Gobakken, Jörg Hacker, Marco Heurich, Ross A. Hill, Chris Hopkinson, Huabing Huang, Stephen P. Hubbell, Andrew Thomas Hudak, Andreas Huth, Benedikt Imbach, Kathryn J. Jeffery, Masato Katoh, Elizabeth Kearsley, David Kenfack, Natascha Kljun, Nikolai Knapp, Kamil Král, Martin Krůček, Nicolas Labrière, Simon L. Lewis, Marcos Longo, Richard Lucas, Russell Main, J. A. Manzanera, Rodolfo Vásquez Martínez, Renaud Mathieu, Herve R. Memiaghe, Victoria Meyer, Abel Monteagudo Mendoza, A. Monerris, Paul Montesano, Felix Morsdorf, Erik Næsset, Laven Naidoo, Reuben Nilus, Michael J. O’Brien, David A. Orwig, Konstantinos Panagiotis Papathanassiou, Geoffrey G. Parker, Christopher D. Philipson, Oliver Lawrence Phillips, Jan Písek, John R. Poulsen, Hans Pretzsch, Christoph Rüdiger, Sassan S Saatchi, Arturo G. Sánchez-Azofeifa, Nuria Sánchez‐López, Robert J. Scholes, Carlos Alberto Silva, Marc Simard, Andrew K. Skidmore, Krzysztof Stereńczak, Mihai Andrei Tanase, Chiara Torresan, Rubén Valbuena, Hans Verbeeck, Tomáš Vrška, Konrad Wessels, Joanne C. White, LEE J. T. WHITE, Eliakimu Mnkondo Zahabu, Carlo Zgraggen · 发表于：Remote Sensing of Environment · 年份：2022 · DOI：10.1016/j.rse.2021.112845 · 被引用次数：481 · 研究领域：Remote Sensing and LiDAR Applications、Remote Sensing in Agriculture、Fire effects on ecosystems

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...