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

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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Main Authors: Schepaschenko, Dmitry, Chave, Jérôme, Phillips, Oliver L., Lewis, Simon L., Rejou-Mechain, Maxime, Sist, Plinio, Scipal, Klaus, Perger, Christoph, Herault, Bruno, Labriere, 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 R., Balazy, Radomir, Bedeau, Caroline, Berry, Nicholas, Bilous, Andrii M., Bissiengou, Pulcherie, Blanc, Lilian, Bobkova, Kapitolina S., Braslavskaya, Tatyana, Brienen, Roel, Burslem, David F. R. P, Condit, Richard, Cuni Sanchez, Aida, Danilina, Dilshad, del Castillo Torres, Dennis, Derroire, Géraldine, Descroix, Laurent, Doff Sotta, Eleneide, d’Oliveira, Marcus Vinicio Neves, 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, Gothard Bassede, Marie Céline, Gourlet, Sylvie, et al.
Format: article biblioteca
Language:eng
Subjects:K01 - Foresterie - Considérations générales, P01 - Conservation de la nature et ressources foncières, P40 - Météorologie et climatologie, U30 - Méthodes de recherche, biomasse aérienne des arbres, forêt, cartographie des fonctions de la forêt, réchauffement global, atténuation des effets du changement climatique, télédétection, banque de données, http://aims.fao.org/aos/agrovoc/c_1373987680230, http://aims.fao.org/aos/agrovoc/c_3062, http://aims.fao.org/aos/agrovoc/c_1374847637217, http://aims.fao.org/aos/agrovoc/c_34836, http://aims.fao.org/aos/agrovoc/c_1374571087594, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_24833,
Online Access:http://agritrop.cirad.fr/593897/
http://agritrop.cirad.fr/593897/1/Schepaschenko%2C%20et%20al.%20-%202019%20-%20The%20Forest%20Observation%20System%2C%20building%20a%20global%20reference%20dataset%20for%20remote%20sensing%20of%20forest%20biomass.pdf
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id dig-cirad-fr-593897
record_format koha
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic K01 - Foresterie - Considérations générales
P01 - Conservation de la nature et ressources foncières
P40 - Météorologie et climatologie
U30 - Méthodes de recherche
biomasse aérienne des arbres
forêt
cartographie des fonctions de la forêt
réchauffement global
atténuation des effets du changement climatique
télédétection
banque de données
http://aims.fao.org/aos/agrovoc/c_1373987680230
http://aims.fao.org/aos/agrovoc/c_3062
http://aims.fao.org/aos/agrovoc/c_1374847637217
http://aims.fao.org/aos/agrovoc/c_34836
http://aims.fao.org/aos/agrovoc/c_1374571087594
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_24833
K01 - Foresterie - Considérations générales
P01 - Conservation de la nature et ressources foncières
P40 - Météorologie et climatologie
U30 - Méthodes de recherche
biomasse aérienne des arbres
forêt
cartographie des fonctions de la forêt
réchauffement global
atténuation des effets du changement climatique
télédétection
banque de données
http://aims.fao.org/aos/agrovoc/c_1373987680230
http://aims.fao.org/aos/agrovoc/c_3062
http://aims.fao.org/aos/agrovoc/c_1374847637217
http://aims.fao.org/aos/agrovoc/c_34836
http://aims.fao.org/aos/agrovoc/c_1374571087594
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_24833
spellingShingle K01 - Foresterie - Considérations générales
P01 - Conservation de la nature et ressources foncières
P40 - Météorologie et climatologie
U30 - Méthodes de recherche
biomasse aérienne des arbres
forêt
cartographie des fonctions de la forêt
réchauffement global
atténuation des effets du changement climatique
télédétection
banque de données
http://aims.fao.org/aos/agrovoc/c_1373987680230
http://aims.fao.org/aos/agrovoc/c_3062
http://aims.fao.org/aos/agrovoc/c_1374847637217
http://aims.fao.org/aos/agrovoc/c_34836
http://aims.fao.org/aos/agrovoc/c_1374571087594
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_24833
K01 - Foresterie - Considérations générales
P01 - Conservation de la nature et ressources foncières
P40 - Météorologie et climatologie
U30 - Méthodes de recherche
biomasse aérienne des arbres
forêt
cartographie des fonctions de la forêt
réchauffement global
atténuation des effets du changement climatique
télédétection
banque de données
http://aims.fao.org/aos/agrovoc/c_1373987680230
http://aims.fao.org/aos/agrovoc/c_3062
http://aims.fao.org/aos/agrovoc/c_1374847637217
http://aims.fao.org/aos/agrovoc/c_34836
http://aims.fao.org/aos/agrovoc/c_1374571087594
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_24833
Schepaschenko, Dmitry
Chave, Jérôme
Phillips, Oliver L.
Lewis, Simon L.
Rejou-Mechain, Maxime
Sist, Plinio
Scipal, Klaus
Perger, Christoph
Herault, Bruno
Labriere, 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 R.
Balazy, Radomir
Bedeau, Caroline
Berry, Nicholas
Bilous, Andrii M.
Bissiengou, Pulcherie
Blanc, Lilian
Bobkova, Kapitolina S.
Braslavskaya, Tatyana
Brienen, Roel
Burslem, David F. R. P
Condit, Richard
Cuni Sanchez, Aida
Danilina, Dilshad
del Castillo Torres, Dennis
Derroire, Géraldine
Descroix, Laurent
Doff Sotta, Eleneide
d’Oliveira, Marcus Vinicio Neves
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
Gornov, Aleksey
Gothard Bassede, Marie Céline
Gourlet, Sylvie
et al.,
The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
description 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.
format article
topic_facet K01 - Foresterie - Considérations générales
P01 - Conservation de la nature et ressources foncières
P40 - Météorologie et climatologie
U30 - Méthodes de recherche
biomasse aérienne des arbres
forêt
cartographie des fonctions de la forêt
réchauffement global
atténuation des effets du changement climatique
télédétection
banque de données
http://aims.fao.org/aos/agrovoc/c_1373987680230
http://aims.fao.org/aos/agrovoc/c_3062
http://aims.fao.org/aos/agrovoc/c_1374847637217
http://aims.fao.org/aos/agrovoc/c_34836
http://aims.fao.org/aos/agrovoc/c_1374571087594
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_24833
author Schepaschenko, Dmitry
Chave, Jérôme
Phillips, Oliver L.
Lewis, Simon L.
Rejou-Mechain, Maxime
Sist, Plinio
Scipal, Klaus
Perger, Christoph
Herault, Bruno
Labriere, 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 R.
Balazy, Radomir
Bedeau, Caroline
Berry, Nicholas
Bilous, Andrii M.
Bissiengou, Pulcherie
Blanc, Lilian
Bobkova, Kapitolina S.
Braslavskaya, Tatyana
Brienen, Roel
Burslem, David F. R. P
Condit, Richard
Cuni Sanchez, Aida
Danilina, Dilshad
del Castillo Torres, Dennis
Derroire, Géraldine
Descroix, Laurent
Doff Sotta, Eleneide
d’Oliveira, Marcus Vinicio Neves
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
Gornov, Aleksey
Gothard Bassede, Marie Céline
Gourlet, Sylvie
et al.,
author_facet Schepaschenko, Dmitry
Chave, Jérôme
Phillips, Oliver L.
Lewis, Simon L.
Rejou-Mechain, Maxime
Sist, Plinio
Scipal, Klaus
Perger, Christoph
Herault, Bruno
Labriere, 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 R.
Balazy, Radomir
Bedeau, Caroline
Berry, Nicholas
Bilous, Andrii M.
Bissiengou, Pulcherie
Blanc, Lilian
Bobkova, Kapitolina S.
Braslavskaya, Tatyana
Brienen, Roel
Burslem, David F. R. P
Condit, Richard
Cuni Sanchez, Aida
Danilina, Dilshad
del Castillo Torres, Dennis
Derroire, Géraldine
Descroix, Laurent
Doff Sotta, Eleneide
d’Oliveira, Marcus Vinicio Neves
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
Gornov, Aleksey
Gothard Bassede, Marie Céline
Gourlet, Sylvie
et al.,
author_sort Schepaschenko, Dmitry
title The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
title_short The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
title_full The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
title_fullStr The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
title_full_unstemmed The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
title_sort forest observation system, building a global reference dataset for remote sensing of forest biomass
url http://agritrop.cirad.fr/593897/
http://agritrop.cirad.fr/593897/1/Schepaschenko%2C%20et%20al.%20-%202019%20-%20The%20Forest%20Observation%20System%2C%20building%20a%20global%20reference%20dataset%20for%20remote%20sensing%20of%20forest%20biomass.pdf
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spelling dig-cirad-fr-5938972024-01-29T02:22:57Z http://agritrop.cirad.fr/593897/ http://agritrop.cirad.fr/593897/ 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., Rejou-Mechain Maxime, Sist Plinio, Scipal Klaus, Perger Christoph, Herault Bruno, Labriere 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 R., Balazy Radomir, Bedeau Caroline, Berry Nicholas, Bilous Andrii M., Bissiengou Pulcherie, Blanc Lilian, Bobkova Kapitolina S., Braslavskaya Tatyana, Brienen Roel, Burslem David F. R. P, Condit Richard, Cuni Sanchez Aida, Danilina Dilshad, del Castillo Torres Dennis, Derroire Géraldine, Descroix Laurent, Doff Sotta Eleneide, d’Oliveira Marcus Vinicio Neves, 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, Gornov Aleksey, Gothard Bassede Marie Céline, Gourlet Sylvie, et al.. 2019. Scientific Data, 6:198, 11 p.https://doi.org/10.1038/s41597-019-0196-1 <https://doi.org/10.1038/s41597-019-0196-1> 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. Rejou-Mechain, Maxime Sist, Plinio Scipal, Klaus Perger, Christoph Herault, Bruno Labriere, 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 R. Balazy, Radomir Bedeau, Caroline Berry, Nicholas Bilous, Andrii M. Bissiengou, Pulcherie Blanc, Lilian Bobkova, Kapitolina S. Braslavskaya, Tatyana Brienen, Roel Burslem, David F. R. P Condit, Richard Cuni Sanchez, Aida Danilina, Dilshad del Castillo Torres, Dennis Derroire, Géraldine Descroix, Laurent Doff Sotta, Eleneide d’Oliveira, Marcus Vinicio Neves 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 Gornov, Aleksey Gothard Bassede, Marie Céline Gourlet, Sylvie et al., eng 2019 Scientific Data K01 - Foresterie - Considérations générales P01 - Conservation de la nature et ressources foncières P40 - Météorologie et climatologie U30 - Méthodes de recherche biomasse aérienne des arbres forêt cartographie des fonctions de la forêt réchauffement global atténuation des effets du changement climatique télédétection banque de données http://aims.fao.org/aos/agrovoc/c_1373987680230 http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_1374847637217 http://aims.fao.org/aos/agrovoc/c_34836 http://aims.fao.org/aos/agrovoc/c_1374571087594 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_24833 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/593897/1/Schepaschenko%2C%20et%20al.%20-%202019%20-%20The%20Forest%20Observation%20System%2C%20building%20a%20global%20reference%20dataset%20for%20remote%20sensing%20of%20forest%20biomass.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1038/s41597-019-0196-1 10.1038/s41597-019-0196-1 info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-019-0196-1 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1038/s41597-019-0196-1 info:eu-repo/semantics/dataset/purl/https://springernature.figshare.com/articles/Metadata_record_for_The_Forest_Observation_System_building_a_global_reference_dataset_for_remote_sensing_of_forest_biomass/9850571