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 Hérault; 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; Dilashad 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 Geudes; 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 Lucas

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 Hérault, 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, Dilashad 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 Geudes, 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 Lucas

Department of Geography and Earth Sciences

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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
Pages (from-to)	198
Journal	Scientific data
Volume	6
Issue number	1
DOIs	https://doi.org/10.1038/s41597-019-0196-1
Publication status	Published - 10 Oct 2019

Keywords

Environmental Monitoring/methods
Forests
Conservation of Natural Resources
Remote Sensing Technology
Biomass

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., Hérault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., ... Lucas, R. (2019). The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific data, 6(1), 198. Article 198. https://doi.org/10.1038/s41597-019-0196-1

@article{a02f5cb0fa37478c94551531ada1f79b,

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",

keywords = "Environmental Monitoring/methods, Forests, Conservation of Natural Resources, Remote Sensing Technology, Biomass",

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 H{\'e}rault 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 Dilashad Danilina and {del Castillo Torres}, Dennis and G{\'e}raldine Derroire and Laurent Descroix and {Doff Sotta}, Eleneide and d'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 Geudes and Hamer, {Keith C.} and Susanty, {Farida Herry} and Niro Higuchi and {Honorio Coronado}, {Eur{\'i}dice N.} 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 {Konan Koffi}, Jean-Claude 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 Richard Lucas",

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).",

year = "2019",

month = oct,

day = "10",

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

language = "English",

volume = "6",

pages = "198",

journal = "Scientific data",

issn = "2052-4463",

publisher = "Springer Nature",

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, Hérault, 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, Doff Sotta, E, 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, Geudes, M, Hamer, KC, Susanty, FH, Higuchi, N, Honorio Coronado, EN, Hubau, W, Hubbell, S, Ilstedt, U, Ivanov, VV, Kanashiro, M, Karlsson, A, Karminov, VN, Killeen, T, Konan Koffi, J-C, Konovalova, M, Kraxner, F, Krejza, J, Krisnawati, H, Krivobokov, LV, Kuznetsov, MA, Lakyda, I, Lakyda, PI, Licona, JC & Lucas, R 2019, 'The Forest Observation System, building a global reference dataset for remote sensing of forest biomass', Scientific data, vol. 6, no. 1, 198, pp. 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 - Hérault, 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, Dilashad

AU - del Castillo Torres, Dennis

AU - Derroire, Géraldine

AU - Descroix, Laurent

AU - Doff Sotta, Eleneide

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 - Geudes, Marcelino

AU - Hamer, Keith C.

AU - Susanty, Farida Herry

AU - Higuchi, Niro

AU - Honorio Coronado, Eurídice N.

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 - Konan Koffi, Jean-Claude

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

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).

PY - 2019/10/10

Y1 - 2019/10/10

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

KW - Environmental Monitoring/methods

KW - Forests

KW - Conservation of Natural Resources

KW - Remote Sensing Technology

KW - Biomass

UR - http://www.scopus.com/inward/record.url?scp=85073114444&partnerID=8YFLogxK

U2 - 10.1038/s41597-019-0196-1

DO - 10.1038/s41597-019-0196-1

M3 - Article

C2 - 31601817

SN - 2052-4463

VL - 6

SP - 198

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

Abstract

Keywords

UN SDGs

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