The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Dmitry Schepaschenko; Jérôme Chave; Oliver L. Phillips; Simon L. Lewis; Stuart J. Davies; Maxime Réjou-Méchain; Plinio Sist; Klaus Scipal; Christoph Perger; Bruno Herault; Nicolas Labrière; Florian Hofhansl; Kofi Affum-Baffoe; Alexei Aleinikov; Alfonso Alonso; Christian Amani; Alejandro Araujo-Murakami; John Armston; Luzmila Arroyo; Nataly Ascarrunz; Celso Azevedo; Timothy Baker; Radomir Bałazy; Caroline Bedeau; Nicholas Berry; Andrii M. Bilous; Svitlana Yu Bilous; Pulchérie Bissiengou; Lilian Blanc; Kapitolina S. Bobkova; Tatyana Braslavskaya; Roel Brienen; David F.R.P. Burslem; Richard Condit; Aida Cuni-Sanchez; Dilshad Danilina; Dennis del Castillo Torres; Géraldine Derroire; Laurent Descroix; Eleneide Doff Sotta; Marcus V.N. d’Oliveira; Christopher Dresel; Terry Erwin; Mikhail D. Evdokimenko; Jan Falck; Ted R. Feldpausch; Ernest G. Foli; Robin Foster; Steffen Fritz; Antonio Damian Garcia-Abril; Aleksey Gornov; Maria Gornova; Ernest Gothard-Bassébé; Sylvie Gourlet-Fleury; Marcelino Guedes; Keith C. Hamer; Farida Herry Susanty; Niro Higuchi; Eurídice N.Honorio Coronado; Wannes Hubau; Stephen Hubbell; Ulrik Ilstedt; Viktor V. Ivanov; Milton Kanashiro; Anders Karlsson; Viktor N. Karminov; Timothy Killeen; Jean Claude Konan Koffi; Maria Konovalova; Florian Kraxner; Jan Krejza; Haruni Krisnawati; Leonid V. Krivobokov; Mikhail A. Kuznetsov; Ivan Lakyda; Petro I. Lakyda; Juan Carlos Licona; Richard M. Lucas; Natalia Lukina; Daniel Lussetti; Yadvinder Malhi; José Antonio Manzanera; Beatriz Marimon; Ben Hur Marimon Junior; Rodolfo Vasquez Martinez; Olga V. Martynenko; Maksym Matsala; Raisa K. Matyashuk; Lucas Mazzei; Hervé Memiaghe; Casimiro Mendoza; Abel Monteagudo Mendoza; Olga V. Moroziuk; Liudmila Mukhortova; Samsudin Musa; Dina I. Nazimova; Toshinori Okuda; Luis Claudio Oliveira; Petr V. Ontikov; Andrey F. Osipov; Stephan Pietsch; Maureen Playfair; John Poulsen; Vladimir G. Radchenko; Kenneth Rodney; Andes H. Rozak; Ademir Ruschel; Ervan Rutishauser; Linda See; Maria Shchepashchenko; Nikolay Shevchenko; Anatoly Shvidenko; Marcos Silveira; James Singh; Bonaventure Sonké; Cintia Souza; Krzysztof Stereńczak; Leonid Stonozhenko; Martin J.P. Sullivan; Justyna Szatniewska; Hermann Taedoumg; Hans ter Steege; Elena Tikhonova; Marisol Toledo; Olga V. Trefilova; Ruben Valbuena; Luis Valenzuela Gamarra; Sergey Vasiliev; Estella F. Vedrova; Sergey V. Verhovets; Edson Vidal; Nadezhda A. Vladimirova; Jason Vleminckx; Vincent A. Vos; Foma K. Vozmitel; Wolfgang Wanek; Thales A.P. West; Hannsjorg Woell; John T. Woods; Verginia Wortel; Toshihiro Yamada; Zamah Shari Nur Hajar; Irié Casimir Zo-Bi

doi:10.1038/s41597-019-0196-1

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Dmitry Schepaschenko^*, Jérôme Chave, Oliver L. Phillips, Simon L. Lewis, Stuart J. Davies, Maxime Réjou-Méchain, Plinio Sist, Klaus Scipal, Christoph Perger, Bruno Herault, Nicolas Labrière, Florian Hofhansl, Kofi Affum-Baffoe, Alexei Aleinikov, Alfonso Alonso, Christian Amani, Alejandro Araujo-Murakami, John Armston, Luzmila Arroyo, Nataly AscarrunzCelso Azevedo, Timothy Baker, Radomir Bałazy, Caroline Bedeau, Nicholas Berry, Andrii M. Bilous, Svitlana Yu Bilous, Pulchérie Bissiengou, Lilian Blanc, Kapitolina S. Bobkova, Tatyana Braslavskaya, Roel Brienen, David F.R.P. Burslem, Richard Condit, Aida Cuni-Sanchez, Dilshad Danilina, Dennis del Castillo Torres, Géraldine Derroire, Laurent Descroix, Eleneide Doff Sotta, Marcus V.N. d’Oliveira, Christopher Dresel, Terry Erwin, Mikhail D. Evdokimenko, Jan Falck, Ted R. Feldpausch, Ernest G. Foli, Robin Foster, Steffen Fritz, Antonio Damian Garcia-Abril, Aleksey Gornov, Maria Gornova, Ernest Gothard-Bassébé, Sylvie Gourlet-Fleury, Marcelino Guedes, Keith C. Hamer, Farida Herry Susanty, Niro Higuchi, Eurídice N.Honorio Coronado, Wannes Hubau, Stephen Hubbell, Ulrik Ilstedt, Viktor V. Ivanov, Milton Kanashiro, Anders Karlsson, Viktor N. Karminov, Timothy Killeen, Jean Claude Konan Koffi, Maria Konovalova, Florian Kraxner, Jan Krejza, Haruni Krisnawati, Leonid V. Krivobokov, Mikhail A. Kuznetsov, Ivan Lakyda, Petro I. Lakyda, Juan Carlos Licona, Richard M. Lucas, Natalia Lukina, Daniel Lussetti, Yadvinder Malhi, José Antonio Manzanera, Beatriz Marimon, Ben Hur Marimon Junior, Rodolfo Vasquez Martinez, Olga V. Martynenko, Maksym Matsala, Raisa K. Matyashuk, Lucas Mazzei, Hervé Memiaghe, Casimiro Mendoza, Abel Monteagudo Mendoza, Olga V. Moroziuk, Liudmila Mukhortova, Samsudin Musa, Dina I. Nazimova, Toshinori Okuda, Luis Claudio Oliveira, Petr V. Ontikov, Andrey F. Osipov, Stephan Pietsch, Maureen Playfair, John Poulsen, Vladimir G. Radchenko, Kenneth Rodney, Andes H. Rozak, Ademir Ruschel, Ervan Rutishauser, Linda See, Maria Shchepashchenko, Nikolay Shevchenko, Anatoly Shvidenko, Marcos Silveira, James Singh, Bonaventure Sonké, Cintia Souza, Krzysztof Stereńczak, Leonid Stonozhenko, Martin J.P. Sullivan, Justyna Szatniewska, Hermann Taedoumg, Hans ter Steege, Elena Tikhonova, Marisol Toledo, Olga V. Trefilova, Ruben Valbuena, Luis Valenzuela Gamarra, Sergey Vasiliev, Estella F. Vedrova, Sergey V. Verhovets, Edson Vidal, Nadezhda A. Vladimirova, Jason Vleminckx, Vincent A. Vos, Foma K. Vozmitel, Wolfgang Wanek, Thales A.P. West, Hannsjorg Woell, John T. Woods, Verginia Wortel, Toshihiro Yamada, Zamah Shari Nur Hajar, Irié Casimir Zo-Bi

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world’s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

Original language	English
Article number	198
Journal	Scientific Data
Volume	6
Issue number	1
DOIs	https://doi.org/10.1038/s41597-019-0196-1
Publication status	Published - 1 Dec 2019

Bibliographical note

Funding Information:
This study has been partly supported by the IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) projects funded by ESA; the Austrian Federal Ministry of Science and Research (BMWF-4.409/30-II/4/2009); the Austrian Academy of Sciences (ÖAW2007-11); the Research Project AGL2009-08562, Ministry of Science’s Research and Development, Spain; the Project LIFE+ “ForBioSensing PL Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques” cofounded by Life+ UE program (contract number LIFE13 ENV/PL/000048) and The National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D); the Brazilian National Council of Science and Technology (PVE project #401279/2014-6 and PELD (LTER) project #441244/2016-5); USAID (1993–2006); Brazilian National Council of Science and Technology-CNPq (Processes 481097/2008-2, 201138/2012-3); Foundation for Research Support of the State of Sao Paulo-FAPESP (Processes 2013/16262-4, 2013/50718-5). European Research Council Advanced Grant T-FORCES (291585); the Russian State Assignment of the CEPF RAS no. АААА-А18-118052400130-7. The Russian Science Foundation supported data processing of the plot data from Russia (project no. 19-77-30015). We would like to thank Shell Gabon and the Smithsonian Conservation Biology Institute for funding the collection of the RABI data (contribution No 172 of the Gabon Biodiversity Program). We would also like to thank Alexander Parada Gutierrez, Javier Eduardo Silva-Espejo, Jon Lloyd, and Olaf Banki for sharing their plot data. JC is funded by Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01; TULIP: ANR-10-LABX-0041).

Publisher Copyright:
© 2019, The Author(s).

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Funding

This study has been partly supported by the IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) projects funded by ESA; the Austrian Federal Ministry of Science and Research (BMWF-4.409/30-II/4/2009); the Austrian Academy of Sciences (ÖAW2007-11); the Research Project AGL2009-08562, Ministry of Science’s Research and Development, Spain; the Project LIFE+ “ForBioSensing PL Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques” cofounded by Life+ UE program (contract number LIFE13 ENV/PL/000048) and The National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D); the Brazilian National Council of Science and Technology (PVE project #401279/2014-6 and PELD (LTER) project #441244/2016-5); USAID (1993–2006); Brazilian National Council of Science and Technology-CNPq (Processes 481097/2008-2, 201138/2012-3); Foundation for Research Support of the State of Sao Paulo-FAPESP (Processes 2013/16262-4, 2013/50718-5). European Research Council Advanced Grant T-FORCES (291585); the Russian State Assignment of the CEPF RAS no. АААА-А18-118052400130-7. The Russian Science Foundation supported data processing of the plot data from Russia (project no. 19-77-30015). We would like to thank Shell Gabon and the Smithsonian Conservation Biology Institute for funding the collection of the RABI data (contribution No 172 of the Gabon Biodiversity Program). We would also like to thank Alexander Parada Gutierrez, Javier Eduardo Silva-Espejo, Jon Lloyd, and Olaf Banki for sharing their plot data. JC is funded by Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01; TULIP: ANR-10-LABX-0041).

Funders	Funder number
Brazilian National Council of Science and Technology	401279/2014-6
Brazilian National Council of Science and Technology-CNPq	201138/2012-3, 481097/2008-2
CCI Biomass	4000123662/18/I-NB
Foundation for Research Support of the State of Sao Paulo-FAPESP	2013/50718-5, 2013/16262-4
IFBN	4000114425/15/NL/FF/gp
LTER	441244/2016-5
Life+ UE program	LIFE13 ENV/PL/000048
Ministry of Science’s Research and Development, Spain
National Fund for Environmental Protection and Water Management in Poland	485/2014/WN10/OP-NM-LF/D
Shell Gabon
United States Agency for International Development
Smithsonian Conservation Biology Institute
Seventh Framework Programme	291585
European Space Agency
Agence Nationale de la Recherche	ANR-10-LABX-0041, ANR-10-LABX-25-01
Österreichischen Akademie der Wissenschaften	ÖAW2007-11, AGL2009-08562
Russian Science Foundation	19-77-30015
Bundesministerium für Wissenschaft und Forschung	BMWF-4.409/30-II/4/2009
Ecological Society of Australia

UN SDGs

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

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Schepaschenko, D., Chave, J., Phillips, O. L., Lewis, S. L., Davies, S. J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., ... Zo-Bi, I. C. (2019). The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data, 6(1), Article 198. https://doi.org/10.1038/s41597-019-0196-1

@article{15de2bb0a8194ee085e152f6714efc60,

title = "The Forest Observation System, building a global reference dataset for remote sensing of forest biomass",

abstract = "Forest biomass is an essential indicator for monitoring the Earth{\textquoteright}s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world{\textquoteright}s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.",

author = "Dmitry Schepaschenko and J{\'e}r{\^o}me Chave and Phillips, {Oliver L.} and Lewis, {Simon L.} and Davies, {Stuart J.} and Maxime R{\'e}jou-M{\'e}chain and Plinio Sist and Klaus Scipal and Christoph Perger and Bruno Herault and Nicolas Labri{\`e}re and Florian Hofhansl and Kofi Affum-Baffoe and Alexei Aleinikov and Alfonso Alonso and Christian Amani and Alejandro Araujo-Murakami and John Armston and Luzmila Arroyo and Nataly Ascarrunz and Celso Azevedo and Timothy Baker and Radomir Ba{\l}azy and Caroline Bedeau and Nicholas Berry and Bilous, {Andrii M.} and Bilous, {Svitlana Yu} and Pulch{\'e}rie Bissiengou and Lilian Blanc and Bobkova, {Kapitolina S.} and Tatyana Braslavskaya and Roel Brienen and Burslem, {David F.R.P.} and Richard Condit and Aida Cuni-Sanchez and Dilshad Danilina and {del Castillo Torres}, Dennis and G{\'e}raldine Derroire and Laurent Descroix and Sotta, {Eleneide Doff} and d{\textquoteright}Oliveira, {Marcus V.N.} and Christopher Dresel and Terry Erwin and Evdokimenko, {Mikhail D.} and Jan Falck and Feldpausch, {Ted R.} and Foli, {Ernest G.} and Robin Foster and Steffen Fritz and Garcia-Abril, {Antonio Damian} and Aleksey Gornov and Maria Gornova and Ernest Gothard-Bass{\'e}b{\'e} and Sylvie Gourlet-Fleury and Marcelino Guedes and Hamer, {Keith C.} and Susanty, {Farida Herry} and Niro Higuchi and Coronado, {Eur{\'i}dice N.Honorio} and Wannes Hubau and Stephen Hubbell and Ulrik Ilstedt and Ivanov, {Viktor V.} and Milton Kanashiro and Anders Karlsson and Karminov, {Viktor N.} and Timothy Killeen and Koffi, {Jean Claude Konan} and Maria Konovalova and Florian Kraxner and Jan Krejza and Haruni Krisnawati and Krivobokov, {Leonid V.} and Kuznetsov, {Mikhail A.} and Ivan Lakyda and Lakyda, {Petro I.} and Licona, {Juan Carlos} and Lucas, {Richard M.} and Natalia Lukina and Daniel Lussetti and Yadvinder Malhi and Manzanera, {Jos{\'e} Antonio} and Beatriz Marimon and Junior, {Ben Hur Marimon} and Martinez, {Rodolfo Vasquez} and Martynenko, {Olga V.} and Maksym Matsala and Matyashuk, {Raisa K.} and Lucas Mazzei and Herv{\'e} Memiaghe and Casimiro Mendoza and Mendoza, {Abel Monteagudo} and Moroziuk, {Olga V.} and Liudmila Mukhortova and Samsudin Musa and Nazimova, {Dina I.} and Toshinori Okuda and Oliveira, {Luis Claudio} and Ontikov, {Petr V.} and Osipov, {Andrey F.} and Stephan Pietsch and Maureen Playfair and John Poulsen and Radchenko, {Vladimir G.} and Kenneth Rodney and Rozak, {Andes H.} and Ademir Ruschel and Ervan Rutishauser and Linda See and Maria Shchepashchenko and Nikolay Shevchenko and Anatoly Shvidenko and Marcos Silveira and James Singh and Bonaventure Sonk{\'e} and Cintia Souza and Krzysztof Stere{\'n}czak and Leonid Stonozhenko and Sullivan, {Martin J.P.} and Justyna Szatniewska and Hermann Taedoumg and {ter Steege}, Hans and Elena Tikhonova and Marisol Toledo and Trefilova, {Olga V.} and Ruben Valbuena and Gamarra, {Luis Valenzuela} and Sergey Vasiliev and Vedrova, {Estella F.} and Verhovets, {Sergey V.} and Edson Vidal and Vladimirova, {Nadezhda A.} and Jason Vleminckx and Vos, {Vincent A.} and Vozmitel, {Foma K.} and Wolfgang Wanek and West, {Thales A.P.} and Hannsjorg Woell and Woods, {John T.} and Verginia Wortel and Toshihiro Yamada and {Nur Hajar}, {Zamah Shari} and Zo-Bi, {Iri{\'e} Casimir}",

note = "Funding Information: This study has been partly supported by the IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) projects funded by ESA; the Austrian Federal Ministry of Science and Research (BMWF-4.409/30-II/4/2009); the Austrian Academy of Sciences ({\"O}AW2007-11); the Research Project AGL2009-08562, Ministry of Science{\textquoteright}s Research and Development, Spain; the Project LIFE+ “ForBioSensing PL Comprehensive monitoring of stand dynamics in Bia{\l}owie{\.z}a Forest supported with remote sensing techniques” cofounded by Life+ UE program (contract number LIFE13 ENV/PL/000048) and The National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D); the Brazilian National Council of Science and Technology (PVE project #401279/2014-6 and PELD (LTER) project #441244/2016-5); USAID (1993–2006); Brazilian National Council of Science and Technology-CNPq (Processes 481097/2008-2, 201138/2012-3); Foundation for Research Support of the State of Sao Paulo-FAPESP (Processes 2013/16262-4, 2013/50718-5). European Research Council Advanced Grant T-FORCES (291585); the Russian State Assignment of the CEPF RAS no. АААА-А18-118052400130-7. The Russian Science Foundation supported data processing of the plot data from Russia (project no. 19-77-30015). We would like to thank Shell Gabon and the Smithsonian Conservation Biology Institute for funding the collection of the RABI data (contribution No 172 of the Gabon Biodiversity Program). We would also like to thank Alexander Parada Gutierrez, Javier Eduardo Silva-Espejo, Jon Lloyd, and Olaf Banki for sharing their plot data. JC is funded by Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01; TULIP: ANR-10-LABX-0041). Publisher Copyright: {\textcopyright} 2019, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "2019",

month = dec,

day = "1",

doi = "10.1038/s41597-019-0196-1",

language = "English",

volume = "6",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

number = "1",

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Schepaschenko, D, Chave, J, Phillips, OL, Lewis, SL, Davies, SJ, Réjou-Méchain, M, Sist, P, Scipal, K, Perger, C, Herault, B, Labrière, N, Hofhansl, F, Affum-Baffoe, K, Aleinikov, A, Alonso, A, Amani, C, Araujo-Murakami, A, Armston, J, Arroyo, L, Ascarrunz, N, Azevedo, C, Baker, T, Bałazy, R, Bedeau, C, Berry, N, Bilous, AM, Bilous, SY, Bissiengou, P, Blanc, L, Bobkova, KS, Braslavskaya, T, Brienen, R, Burslem, DFRP, Condit, R, Cuni-Sanchez, A, Danilina, D, del Castillo Torres, D, Derroire, G, Descroix, L, Sotta, ED, d’Oliveira, MVN, Dresel, C, Erwin, T, Evdokimenko, MD, Falck, J, Feldpausch, TR, Foli, EG, Foster, R, Fritz, S, Garcia-Abril, AD, Gornov, A, Gornova, M, Gothard-Bassébé, E, Gourlet-Fleury, S, Guedes, M, Hamer, KC, Susanty, FH, Higuchi, N, Coronado, ENH, Hubau, W, Hubbell, S, Ilstedt, U, Ivanov, VV, Kanashiro, M, Karlsson, A, Karminov, VN, Killeen, T, Koffi, JCK, Konovalova, M, Kraxner, F, Krejza, J, Krisnawati, H, Krivobokov, LV, Kuznetsov, MA, Lakyda, I, Lakyda, PI, Licona, JC, Lucas, RM, Lukina, N, Lussetti, D, Malhi, Y, Manzanera, JA, Marimon, B, Junior, BHM, Martinez, RV, Martynenko, OV, Matsala, M, Matyashuk, RK, Mazzei, L, Memiaghe, H, Mendoza, C, Mendoza, AM, Moroziuk, OV, Mukhortova, L, Musa, S, Nazimova, DI, Okuda, T, Oliveira, LC, Ontikov, PV, Osipov, AF, Pietsch, S, Playfair, M, Poulsen, J, Radchenko, VG, Rodney, K, Rozak, AH, Ruschel, A, Rutishauser, E, See, L, Shchepashchenko, M, Shevchenko, N, Shvidenko, A, Silveira, M, Singh, J, Sonké, B, Souza, C, Stereńczak, K, Stonozhenko, L, Sullivan, MJP, Szatniewska, J, Taedoumg, H, ter Steege, H, Tikhonova, E, Toledo, M, Trefilova, OV, Valbuena, R, Gamarra, LV, Vasiliev, S, Vedrova, EF, Verhovets, SV, Vidal, E, Vladimirova, NA, Vleminckx, J, Vos, VA, Vozmitel, FK, Wanek, W, West, TAP, Woell, H, Woods, JT, Wortel, V, Yamada, T, Nur Hajar, ZS & Zo-Bi, IC 2019, 'The Forest Observation System, building a global reference dataset for remote sensing of forest biomass', Scientific Data, vol. 6, no. 1, 198. https://doi.org/10.1038/s41597-019-0196-1

TY - JOUR

T1 - The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

AU - Schepaschenko, Dmitry

AU - Chave, Jérôme

AU - Phillips, Oliver L.

AU - Lewis, Simon L.

AU - Davies, Stuart J.

AU - Réjou-Méchain, Maxime

AU - Sist, Plinio

AU - Scipal, Klaus

AU - Perger, Christoph

AU - Herault, Bruno

AU - Labrière, Nicolas

AU - Hofhansl, Florian

AU - Affum-Baffoe, Kofi

AU - Aleinikov, Alexei

AU - Alonso, Alfonso

AU - Amani, Christian

AU - Araujo-Murakami, Alejandro

AU - Armston, John

AU - Arroyo, Luzmila

AU - Ascarrunz, Nataly

AU - Azevedo, Celso

AU - Baker, Timothy

AU - Bałazy, Radomir

AU - Bedeau, Caroline

AU - Berry, Nicholas

AU - Bilous, Andrii M.

AU - Bilous, Svitlana Yu

AU - Bissiengou, Pulchérie

AU - Blanc, Lilian

AU - Bobkova, Kapitolina S.

AU - Braslavskaya, Tatyana

AU - Brienen, Roel

AU - Burslem, David F.R.P.

AU - Condit, Richard

AU - Cuni-Sanchez, Aida

AU - Danilina, Dilshad

AU - del Castillo Torres, Dennis

AU - Derroire, Géraldine

AU - Descroix, Laurent

AU - Sotta, Eleneide Doff

AU - d’Oliveira, Marcus V.N.

AU - Dresel, Christopher

AU - Erwin, Terry

AU - Evdokimenko, Mikhail D.

AU - Falck, Jan

AU - Feldpausch, Ted R.

AU - Foli, Ernest G.

AU - Foster, Robin

AU - Fritz, Steffen

AU - Garcia-Abril, Antonio Damian

AU - Gornov, Aleksey

AU - Gornova, Maria

AU - Gothard-Bassébé, Ernest

AU - Gourlet-Fleury, Sylvie

AU - Guedes, Marcelino

AU - Hamer, Keith C.

AU - Susanty, Farida Herry

AU - Higuchi, Niro

AU - Coronado, Eurídice N.Honorio

AU - Hubau, Wannes

AU - Hubbell, Stephen

AU - Ilstedt, Ulrik

AU - Ivanov, Viktor V.

AU - Kanashiro, Milton

AU - Karlsson, Anders

AU - Karminov, Viktor N.

AU - Killeen, Timothy

AU - Koffi, Jean Claude Konan

AU - Konovalova, Maria

AU - Kraxner, Florian

AU - Krejza, Jan

AU - Krisnawati, Haruni

AU - Krivobokov, Leonid V.

AU - Kuznetsov, Mikhail A.

AU - Lakyda, Ivan

AU - Lakyda, Petro I.

AU - Licona, Juan Carlos

AU - Lucas, Richard M.

AU - Lukina, Natalia

AU - Lussetti, Daniel

AU - Malhi, Yadvinder

AU - Manzanera, José Antonio

AU - Marimon, Beatriz

AU - Junior, Ben Hur Marimon

AU - Martinez, Rodolfo Vasquez

AU - Martynenko, Olga V.

AU - Matsala, Maksym

AU - Matyashuk, Raisa K.

AU - Mazzei, Lucas

AU - Memiaghe, Hervé

AU - Mendoza, Casimiro

AU - Mendoza, Abel Monteagudo

AU - Moroziuk, Olga V.

AU - Mukhortova, Liudmila

AU - Musa, Samsudin

AU - Nazimova, Dina I.

AU - Okuda, Toshinori

AU - Oliveira, Luis Claudio

AU - Ontikov, Petr V.

AU - Osipov, Andrey F.

AU - Pietsch, Stephan

AU - Playfair, Maureen

AU - Poulsen, John

AU - Radchenko, Vladimir G.

AU - Rodney, Kenneth

AU - Rozak, Andes H.

AU - Ruschel, Ademir

AU - Rutishauser, Ervan

AU - See, Linda

AU - Shchepashchenko, Maria

AU - Shevchenko, Nikolay

AU - Shvidenko, Anatoly

AU - Silveira, Marcos

AU - Singh, James

AU - Sonké, Bonaventure

AU - Souza, Cintia

AU - Stereńczak, Krzysztof

AU - Stonozhenko, Leonid

AU - Sullivan, Martin J.P.

AU - Szatniewska, Justyna

AU - Taedoumg, Hermann

AU - ter Steege, Hans

AU - Tikhonova, Elena

AU - Toledo, Marisol

AU - Trefilova, Olga V.

AU - Valbuena, Ruben

AU - Gamarra, Luis Valenzuela

AU - Vasiliev, Sergey

AU - Vedrova, Estella F.

AU - Verhovets, Sergey V.

AU - Vidal, Edson

AU - Vladimirova, Nadezhda A.

AU - Vleminckx, Jason

AU - Vos, Vincent A.

AU - Vozmitel, Foma K.

AU - Wanek, Wolfgang

AU - West, Thales A.P.

AU - Woell, Hannsjorg

AU - Woods, John T.

AU - Wortel, Verginia

AU - Yamada, Toshihiro

AU - Nur Hajar, Zamah Shari

AU - Zo-Bi, Irié Casimir

N1 - Funding Information: This study has been partly supported by the IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) projects funded by ESA; the Austrian Federal Ministry of Science and Research (BMWF-4.409/30-II/4/2009); the Austrian Academy of Sciences (ÖAW2007-11); the Research Project AGL2009-08562, Ministry of Science’s Research and Development, Spain; the Project LIFE+ “ForBioSensing PL Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques” cofounded by Life+ UE program (contract number LIFE13 ENV/PL/000048) and The National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D); the Brazilian National Council of Science and Technology (PVE project #401279/2014-6 and PELD (LTER) project #441244/2016-5); USAID (1993–2006); Brazilian National Council of Science and Technology-CNPq (Processes 481097/2008-2, 201138/2012-3); Foundation for Research Support of the State of Sao Paulo-FAPESP (Processes 2013/16262-4, 2013/50718-5). European Research Council Advanced Grant T-FORCES (291585); the Russian State Assignment of the CEPF RAS no. АААА-А18-118052400130-7. The Russian Science Foundation supported data processing of the plot data from Russia (project no. 19-77-30015). We would like to thank Shell Gabon and the Smithsonian Conservation Biology Institute for funding the collection of the RABI data (contribution No 172 of the Gabon Biodiversity Program). We would also like to thank Alexander Parada Gutierrez, Javier Eduardo Silva-Espejo, Jon Lloyd, and Olaf Banki for sharing their plot data. JC is funded by Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01; TULIP: ANR-10-LABX-0041). Publisher Copyright: © 2019, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019/12/1

Y1 - 2019/12/1

N2 - Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world’s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

AB - Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world’s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

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U2 - 10.1038/s41597-019-0196-1

DO - 10.1038/s41597-019-0196-1

M3 - Article

C2 - 31601817

AN - SCOPUS:85073114444

SN - 2052-4463

VL - 6

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 198

ER -

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

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