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

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The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. / Schepaschenko, Dmitry; Chave, Jérôme; Phillips, Oliver L.; Lewis, Simon L.; Davies, Stuart J.; Réjou-Méchain, Maxime; Sist, Plinio; Scipal, Klaus; Perger, Christoph; Hérault, Bruno; Labrière, Nicolas; Hofhansl, Florian; Affum-Baffoe, Kofi; Aleinikov, Alexei; Alonso, Alfonso; Amani, Christian; Araujo-Murakami, Alejandro; Armston, John ; Arroyo, Luzmila; Ascarrunz, Nataly; Azevedo, Celso; Baker, Timothy; Bałazy, Radomir; Bedeau, Caroline; Berry, Nicholas; Bilous, Andrii M.; Bilous, Svitlana Yu.; Bissiengou, Pulchérie; Blanc, Lilian; Bobkova, Kapitolina S.; Braslavskaya, Tatyana; Brienen, Roel; Burslem, David F. R. P.; Condit, Richard; Cuni-Sanchez, Aida; Danilina, Dilashad; del Castillo Torres, Dennis; Derroire, Géraldine; Descroix, Laurent; Doff Sotta, Eleneide; d'Oliveira, Marcus V. N.; Dresel, Christopher; Erwin, Terry; Evdokimenko, Mikhail D.; Falck, Jan; Feldpausch, Ted R.; Foli, Ernest G.; Foster, Robin; Fritz, Steffen; Garcia-Abril, Antonio Damian; Gornov, Aleksey; Gornova, Maria; Gothard-Bassébé, Ernest; Gourlet-Fleury, Sylvie; Geudes, Marcelino; Hamer, Keith C.; Susanty, Farida Herry; Higuchi, Niro; Honorio Coronado, Eurídice N.; Hubau, Wannes; Hubbell, Stephen; Ilstedt, Ulrik; Ivanov, Viktor V.; Kanashiro, Milton; Karlsson, Anders; Karminov, Viktor N.; Killeen, Timothy; Konan Koffi, Jean-Claude; Konovalova, Maria; Kraxner, Florian; Krejza, Jan; Krisnawati, Haruni; Krivobokov, Leonid V.; Kuznetsov, Mikhail A.; Lakyda, Ivan; Lakyda, Petro I.; Licona, Juan Carlos; Lucas, Richard.

In: Scientific Data, Vol. 6, 198, 10.10.2019.

Research output: Contribution to journalArticle

Harvard

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, 198. https://doi.org/10.1038/s41597-019-0196-1

APA

Schepaschenko, D., Chave, J., Phillips, O. L., Lewis, S. L., Davies, S. J., Réjou-Méchain, M., ... Lucas, R. (2019). The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data, 6, [198]. https://doi.org/10.1038/s41597-019-0196-1

Vancouver

Schepaschenko D, Chave J, Phillips OL, Lewis SL, Davies SJ, Réjou-Méchain M et al. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data. 2019 Oct 10;6. 198. https://doi.org/10.1038/s41597-019-0196-1

Author

Schepaschenko, Dmitry ; Chave, Jérôme ; Phillips, Oliver L. ; Lewis, Simon L. ; Davies, Stuart J. ; Réjou-Méchain, Maxime ; Sist, Plinio ; Scipal, Klaus ; Perger, Christoph ; Hérault, Bruno ; Labrière, Nicolas ; Hofhansl, Florian ; Affum-Baffoe, Kofi ; Aleinikov, Alexei ; Alonso, Alfonso ; Amani, Christian ; Araujo-Murakami, Alejandro ; Armston, John ; Arroyo, Luzmila ; Ascarrunz, Nataly ; Azevedo, Celso ; Baker, Timothy ; Bałazy, Radomir ; Bedeau, Caroline ; Berry, Nicholas ; Bilous, Andrii M. ; Bilous, Svitlana Yu. ; Bissiengou, Pulchérie ; Blanc, Lilian ; Bobkova, Kapitolina S. ; Braslavskaya, Tatyana ; Brienen, Roel ; Burslem, David F. R. P. ; Condit, Richard ; Cuni-Sanchez, Aida ; Danilina, Dilashad ; del Castillo Torres, Dennis ; Derroire, Géraldine ; Descroix, Laurent ; Doff Sotta, Eleneide ; d'Oliveira, Marcus V. N. ; Dresel, Christopher ; Erwin, Terry ; Evdokimenko, Mikhail D. ; Falck, Jan ; Feldpausch, Ted R. ; Foli, Ernest G. ; Foster, Robin ; Fritz, Steffen ; Garcia-Abril, Antonio Damian ; Gornov, Aleksey ; Gornova, Maria ; Gothard-Bassébé, Ernest ; Gourlet-Fleury, Sylvie ; Geudes, Marcelino ; Hamer, Keith C. ; Susanty, Farida Herry ; Higuchi, Niro ; Honorio Coronado, Eurídice N. ; Hubau, Wannes ; Hubbell, Stephen ; Ilstedt, Ulrik ; Ivanov, Viktor V. ; Kanashiro, Milton ; Karlsson, Anders ; Karminov, Viktor N. ; Killeen, Timothy ; Konan Koffi, Jean-Claude ; Konovalova, Maria ; Kraxner, Florian ; Krejza, Jan ; Krisnawati, Haruni ; Krivobokov, Leonid V. ; Kuznetsov, Mikhail A. ; Lakyda, Ivan ; Lakyda, Petro I. ; Licona, Juan Carlos ; Lucas, Richard. / The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. In: Scientific Data. 2019 ; Vol. 6.

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@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’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",
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 Bałazy 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",
year = "2019",
month = "10",
day = "10",
doi = "10.1038/s41597-019-0196-1",
language = "English",
volume = "6",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Springer Nature",

}

RIS (suitable for import to EndNote) - Download

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

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

U2 - 10.1038/s41597-019-0196-1

DO - 10.1038/s41597-019-0196-1

M3 - Article

VL - 6

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

M1 - 198

ER -

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