Duncanson, LauraKellner, James R.Armston, JohnDubayah, RalphMinor, David M.Hancock, StevenHealey, Sean P.Patterson, Paul L.Saarela, SvetlanaMarselis, SuzanneSilva, Carlos E.Bruening, JamisGoetz, Scott J.Tang, HaoHofton, MichelleBlair, BryanLuthcke, ScottFatoyinbo, LolaAbernethy, KatharineAlonso, AlfonsoAndersen, Hans ErikAplin, PaulBaker, Timothy R.Barbier, NicolasBastin, Jean FrancoisBiber, PeterBoeckx, PascalBogaert, JanBoschetti, LuigiBoucher, Peter BrehmBoyd, Doreen S.Burslem, David F.R.P.Calvo-Rodriguez, SofiaChave, JérômeChazdon, Robin L.Clark, David B.Clark, Deborah A.Cohen, Warren B.Coomes, David A.Corona, PiermariaCushman, K. C.Cutler, Mark E.J.Dalling, James W.Dalponte, MicheleDash, Jonathande-Miguel, SergioDeng, SongqiuEllis, Peter WoodsErasmus, BarendFekety, Patrick A.Fernandez-Landa, AlfredoFerraz, AntonioFischer, RicoFisher, Adrian G.García-Abril, AntonioGobakken, TerjeHacker, Jorg M.Heurich, MarcoHill, Ross A.Hopkinson, ChrisHuang, HuabingHubbell, Stephen P.Hudak, Andrew T.Huth, AndreasImbach, BenediktJeffery, Kathryn J.Katoh, MasatoKearsley, ElizabethKenfack, DavidKljun, NataschaKnapp, NikolaiKrál, KamilKrůček, MartinLabrière, NicolasLewis, Simon L.Longo, MarcosLucas, Richard M.Main, RussellManzanera, Jose A.Martínez, Rodolfo VásquezMathieu, RenaudMemiaghe, HerveMeyer, VictoriaMendoza, Abel MonteagudoMonerris, AlessandraMontesano, PaulMorsdorf, FelixNæsset, ErikNaidoo, LavenNilus, ReubenO'Brien, MichaelOrwig, David A.Papathanassiou, KonstantinosParker, GeoffreyPhilipson, ChristopherPhillips, Oliver L.Pisek, JanPoulsen, John R.Pretzsch, HansRüdiger, ChristophSaatchi, SassanSanchez-Azofeifa, ArturoSanchez-Lopez, NuriaScholes, RobertSilva, Carlos A.Simard, MarcSkidmore, AndrewStereńczak, KrzysztofTanase, MihaiTorresan, ChiaraValbuena, RubenVerbeeck, HansVrska, TomasWessels, KonradWhite, Joanne C.White, Lee J.T.Zahabu, EliakimuZgraggen, Carlo2023-09-042023-09-042022-03-01Duncanson, L, Kellner, J R, Armston, J, Dubayah, R, Minor, D M, Hancock, S, Healey, S P, Patterson, P L, Saarela, S, Marselis, S, Silva, C E, Bruening, J, Goetz, S J, Tang, H, Hofton, M, Blair, B, Luthcke, S, Fatoyinbo, L, Abernethy, K, Alonso, A, Andersen, H E, Aplin, P, Baker, T R, Barbier, N, Bastin, J F, Biber, P, Boeckx, P, Bogaert, J, Boschetti, L, Boucher, P B, Boyd, D S, Burslem, D F R P, Calvo-Rodriguez, S, Chave, J, Chazdon, R L, Clark, D B, Clark, D A, Cohen, W B, Coomes, D A, Corona, P, Cushman, K C, Cutler, M E J, Dalling, J W, Dalponte, M, Dash, J, de-Miguel, S, Deng, S, Ellis, P W, Erasmus, B, Fekety, P A, Fernandez-Landa, A, Ferraz, A, Fischer, R, Fisher, A G, García-Abril, A, Gobakken, T, Hacker, J M, Heurich, M, Hill, R A, Hopkinson, C, Huang, H, Hubbell, S P, Hudak, A T, Huth, A, Imbach, B, Jeffery, K J, Katoh, M, Kearsley, E, Kenfack, D, Kljun, N, Knapp, N, Král, K, Krůček, M, Labrière, N, Lewis, S L, Longo, M, Lucas, R M, Main, R, Manzanera, J A, Martínez, R V, Mathieu, R, Memiaghe, H, Meyer, V, Mendoza, A M, Monerris, A, Montesano, P, Morsdorf, F, Næsset, E, Naidoo, L, Nilus, R, O'Brien, M, Orwig, D A, Papathanassiou, K, Parker, G, Philipson, C, Phillips, O L, Pisek, J, Poulsen, J R, Pretzsch, H, Rüdiger, C, Saatchi, S, Sanchez-Azofeifa, A, Sanchez-Lopez, N, Scholes, R, Silva, C A, Simard, M, Skidmore, A, Stereńczak, K, Tanase, M, Torresan, C, Valbuena, R, Verbeeck, H, Vrska, T, Wessels, K, White, J C, White, L J T, Zahabu, E & Zgraggen, C 2022, 'Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission', Remote Sensing of Environment, vol. 270, 112845. https://doi.org/10.1016/j.rse.2021.1128450034-4257ORCID: /0000-0001-6033-0990/work/141722833https://hdl.handle.net/2164/21612Funding Information: Armston, Kellner, Hancock, and Dubayah were supported by NASA Contract #NNL 15AA03C to the University of Maryland for the development and execution of the GEDI mission. Duncanson and Minor were supported by a NASA GEDI Science Team Grant NNH20ZDA001N and a NASA Post Doctoral Program fellowship. Saarela was supported through NASA Carbon Monitoring System Grant 80HQTR18T0016 , and Healey and Patterson were funded by the GEDI mission through Interagency Agreement RPO201523 . We thank the NASA Terrestrial Ecology program for continued support of the GEDI mission, and the University of Maryland for providing independent financial support of the GEDI mission. We also thank NASA for contributing to several lidar data collections used in this study, including from the NASA Carbon Monitoring System (Grant number NNH13AW621 , to PI Cohen at the USFS Service). We also gratefully acknowledge the collection and provision of field and airborne data from a wide variety of other sources, including by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (EMBRAPA) , the US Forest Service, the National Science Foundation ( DEB 0939907 ), Smithsonian Tropical Research Institute, USAID, and the US Department of State, among others. Additional data were acquired from the Terrestrial Ecosystem Research Network (TERN), an Australian Government NCRIS-enabled research infrastructure project, for provision of data used in this analysis, and from the National Ecological Observatory Network (NEON), a program sponsored by the National Science Foundation and operated under cooperative agreement by Battelle. We also thank the National Science and Engineering Research Council of Canada (NSERC), Discovery Grant Program (PI Sanchez-Azofeifa). We also thank the Spanish institutions and programs Instituto Geográfico Nacional, Organismo Autónomo de Parques Nacionales and Inventario Forestal Nacional for supporting this science with open data. The Council for Scientific and Industrial Research (CSIR) project "National Woody Vegetation Monitoring System for Ecosystem and Value-added Services" contributed to the collection of South African ALS and field data. We also thank the Sabie Sand Wildtuin, South African National Parks (SANPARKS), the Wits Rural Knowledge Hub and the Bushbuckridge Municipality in South Africa, for support in the South African field data collection. Additional Australian data were collected as part of the SMAPEx project funded by an Australian Research Council Discovery Project ( DP0984586 ). We thank Shell Gabon and the Smithsonian Conservation Biology Institute for funding the Rabi plot in Gabon, which is contribution No. 204 of the Gabon Biodiversity Program. We also acknowledge funding in French Guiana from CNES and "Investissement d'Avenir" grants managed by Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01). We thank the Project LIFE+ ForBioSensing PL “Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques" co-funded by Life Plus (contract number LIFE13 ENV/PL/000048) and Poland’s National Fund for Environmental Protection and Water Management (contract number 485/2014/WN10/OP-NM-LF/D) for funding the collection of the Polish data, and Rafał Sadkowski for helping with data preparation from the ForBioSensing project. We also thank The Silva Tarouca Research Institute (Czech Republic) for collecting and providing field reference data under an INTER-ACTION project ( LTAUSA18200 ). We also thank the former NERC Airborne Research Facility for their support with airborne data collection, and funding for airborne Lidar data provided by the Australian Department of Agriculture, Fisheries, and Forestry (DAFF). We also thank the Norwegian Agency for Development Cooperation (Norad), although the views expressed in this publication do not necessarily reflect the views of Norad. We also acknowledge DfID and UK Natural Environment Research Council ( NE/P004806/1 ) for collection of field data. The Tanzanian field work for this study was carried out as part of the project “Enhancing the measuring, reporting and verification (MRV) of forests in Tanzania through the application of advanced remote sensing techniques”, funded by the Royal Norwegian Embassy in Tanzania as part of the Norwegian International Climate and Forest Initiative. Finally, data from RAINFOR plots were supported by the Moore Foundation , and SERNANP (Peru) granted research permissions. Funding Information: Armston, Kellner, Hancock, and Dubayah were supported by NASA Contract #NNL 15AA03C to the University of Maryland for the development and execution of the GEDI mission. Duncanson and Minor were supported by a NASA GEDI Science Team Grant NNH20ZDA001N and a NASA Post Doctoral Program fellowship. Saarela was supported through NASA Carbon Monitoring System Grant 80HQTR18T0016, and Healey and Patterson were funded by the GEDI mission through Interagency Agreement RPO201523. We thank the NASA Terrestrial Ecology program for continued support of the GEDI mission, and the University of Maryland for providing independent financial support of the GEDI mission. We also thank NASA for contributing to several lidar data collections used in this study, including from the NASA Carbon Monitoring System (Grant number NNH13AW621, to PI Cohen at the USFS Service). We also gratefully acknowledge the collection and provision of field and airborne data from a wide variety of other sources, including by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (EMBRAPA), the US Forest Service, the National Science Foundation (DEB 0939907), Smithsonian Tropical Research Institute, USAID, and the US Department of State, among others. Additional data were acquired from the Terrestrial Ecosystem Research Network (TERN), an Australian Government NCRIS-enabled research infrastructure project, for provision of data used in this analysis, and from the National Ecological Observatory Network (NEON), a program sponsored by the National Science Foundation and operated under cooperative agreement by Battelle. We also thank the National Science and Engineering Research Council of Canada (NSERC), Discovery Grant Program (PI Sanchez-Azofeifa). We also thank the Spanish institutions and programs Instituto Geogr?fico Nacional, Organismo Aut?nomo de Parques Nacionales and Inventario Forestal Nacional for supporting this science with open data. The Council for Scientific and Industrial Research (CSIR) project ?National Woody Vegetation Monitoring System for Ecosystem and Value-added Services? contributed to the collection of South African ALS and field data. We also thank the Sabie Sand Wildtuin, South African National Parks (SANPARKS), the Wits Rural Knowledge Hub and the Bushbuckridge Municipality in South Africa, for support in the South African field data collection. Additional Australian data were collected as part of the SMAPEx project funded by an Australian Research Council Discovery Project (DP0984586). We thank Shell Gabon and the Smithsonian Conservation Biology Institute for funding the Rabi plot in Gabon, which is contribution No. 204 of the Gabon Biodiversity Program. We also acknowledge funding in French Guiana from CNES and ?Investissement d'Avenir? grants managed by Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01). We thank the Project LIFE+ ForBioSensing PL ?Comprehensive monitoring of stand dynamics in Bia?owie?a Forest supported with remote sensing techniques" co-funded by Life Plus (contract number LIFE13 ENV/PL/000048) and Poland's National Fund for Environmental Protection and Water Management (contract number 485/2014/WN10/OP-NM-LF/D) for funding the collection of the Polish data, and Rafa? Sadkowski for helping with data preparation from the ForBioSensing project. We also thank The Silva Tarouca Research Institute (Czech Republic) for collecting and providing field reference data under an INTER-ACTION project (LTAUSA18200). We also thank the former NERC Airborne Research Facility for their support with airborne data collection, and funding for airborne Lidar data provided by the Australian Department of Agriculture, Fisheries, and Forestry (DAFF). We also thank the Norwegian Agency for Development Cooperation (Norad), although the views expressed in this publication do not necessarily reflect the views of Norad. We also acknowledge DfID and UK Natural Environment Research Council (NE/P004806/1) for collection of field data. The Tanzanian field work for this study was carried out as part of the project ?Enhancing the measuring, reporting and verification (MRV) of forests in Tanzania through the application of advanced remote sensing techniques?, funded by the Royal Norwegian Embassy in Tanzania as part of the Norwegian International Climate and Forest Initiative. Finally, data from RAINFOR plots were supported by the Moore Foundation, and SERNANP (Peru) granted research permissions.203643138engAboveground biomassForestGEDILiDARModelingWaveformQ Science (General)Soil ScienceGeologyComputers in Earth SciencesNatural Environment Research Council (NERC)NE/P004806/1Supplementary DataQ1Journal article10.1016/j.rse.2021.112845https://www.scopus.com/pages/publications/85123289336