Ground data are essential for biomass remote sensing missions
Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these 'supersites'. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved.
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Subjects: | K01 - Foresterie - Considérations générales, F40 - Écologie végétale, U30 - Méthodes de recherche, biomasse, télédétection, analyse de données, écologie forestière, cartographie des fonctions de la forêt, séquestration du carbone, http://aims.fao.org/aos/agrovoc/c_926, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_15962, http://aims.fao.org/aos/agrovoc/c_3044, http://aims.fao.org/aos/agrovoc/c_1374847637217, http://aims.fao.org/aos/agrovoc/c_331583, |
Online Access: | http://agritrop.cirad.fr/593896/ http://agritrop.cirad.fr/593896/7/593896.pdf |
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dig-cirad-fr-5938962024-01-29T02:22:54Z http://agritrop.cirad.fr/593896/ http://agritrop.cirad.fr/593896/ Ground data are essential for biomass remote sensing missions. Chave Jérôme, Davies Stuart J., Phillips Oliver L., Lewis Simon L., Sist Plinio, Schepaschenko Dmitry, Armston John, Baker Timothy R., Coomes David A., Disney Mathias, Duncanson Laura, Herault Bruno, Labriere Nicolas, Meyer Victoria, Rejou-Mechain Maxime, Scipal Klaus, Saatchi Sassan. 2019. Surveys in Geophysics, 40 (4), n.spéc. Forest properties and carbon cycle studies from Earth Observations : 863-880.https://doi.org/10.1007/s10712-019-09528-w <https://doi.org/10.1007/s10712-019-09528-w> Ground data are essential for biomass remote sensing missions Chave, Jérôme Davies, Stuart J. Phillips, Oliver L. Lewis, Simon L. Sist, Plinio Schepaschenko, Dmitry Armston, John Baker, Timothy R. Coomes, David A. Disney, Mathias Duncanson, Laura Herault, Bruno Labriere, Nicolas Meyer, Victoria Rejou-Mechain, Maxime Scipal, Klaus Saatchi, Sassan eng 2019 Surveys in Geophysics K01 - Foresterie - Considérations générales F40 - Écologie végétale U30 - Méthodes de recherche biomasse télédétection analyse de données écologie forestière cartographie des fonctions de la forêt séquestration du carbone http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_1374847637217 http://aims.fao.org/aos/agrovoc/c_331583 Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these 'supersites'. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/593896/7/593896.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s10712-019-09528-w 10.1007/s10712-019-09528-w info:eu-repo/semantics/altIdentifier/doi/10.1007/s10712-019-09528-w info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s10712-019-09528-w |
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K01 - Foresterie - Considérations générales F40 - Écologie végétale U30 - Méthodes de recherche biomasse télédétection analyse de données écologie forestière cartographie des fonctions de la forêt séquestration du carbone http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_1374847637217 http://aims.fao.org/aos/agrovoc/c_331583 K01 - Foresterie - Considérations générales F40 - Écologie végétale U30 - Méthodes de recherche biomasse télédétection analyse de données écologie forestière cartographie des fonctions de la forêt séquestration du carbone http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_1374847637217 http://aims.fao.org/aos/agrovoc/c_331583 |
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K01 - Foresterie - Considérations générales F40 - Écologie végétale U30 - Méthodes de recherche biomasse télédétection analyse de données écologie forestière cartographie des fonctions de la forêt séquestration du carbone http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_1374847637217 http://aims.fao.org/aos/agrovoc/c_331583 K01 - Foresterie - Considérations générales F40 - Écologie végétale U30 - Méthodes de recherche biomasse télédétection analyse de données écologie forestière cartographie des fonctions de la forêt séquestration du carbone http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_1374847637217 http://aims.fao.org/aos/agrovoc/c_331583 Chave, Jérôme Davies, Stuart J. Phillips, Oliver L. Lewis, Simon L. Sist, Plinio Schepaschenko, Dmitry Armston, John Baker, Timothy R. Coomes, David A. Disney, Mathias Duncanson, Laura Herault, Bruno Labriere, Nicolas Meyer, Victoria Rejou-Mechain, Maxime Scipal, Klaus Saatchi, Sassan Ground data are essential for biomass remote sensing missions |
description |
Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these 'supersites'. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved. |
format |
article |
topic_facet |
K01 - Foresterie - Considérations générales F40 - Écologie végétale U30 - Méthodes de recherche biomasse télédétection analyse de données écologie forestière cartographie des fonctions de la forêt séquestration du carbone http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_15962 http://aims.fao.org/aos/agrovoc/c_3044 http://aims.fao.org/aos/agrovoc/c_1374847637217 http://aims.fao.org/aos/agrovoc/c_331583 |
author |
Chave, Jérôme Davies, Stuart J. Phillips, Oliver L. Lewis, Simon L. Sist, Plinio Schepaschenko, Dmitry Armston, John Baker, Timothy R. Coomes, David A. Disney, Mathias Duncanson, Laura Herault, Bruno Labriere, Nicolas Meyer, Victoria Rejou-Mechain, Maxime Scipal, Klaus Saatchi, Sassan |
author_facet |
Chave, Jérôme Davies, Stuart J. Phillips, Oliver L. Lewis, Simon L. Sist, Plinio Schepaschenko, Dmitry Armston, John Baker, Timothy R. Coomes, David A. Disney, Mathias Duncanson, Laura Herault, Bruno Labriere, Nicolas Meyer, Victoria Rejou-Mechain, Maxime Scipal, Klaus Saatchi, Sassan |
author_sort |
Chave, Jérôme |
title |
Ground data are essential for biomass remote sensing missions |
title_short |
Ground data are essential for biomass remote sensing missions |
title_full |
Ground data are essential for biomass remote sensing missions |
title_fullStr |
Ground data are essential for biomass remote sensing missions |
title_full_unstemmed |
Ground data are essential for biomass remote sensing missions |
title_sort |
ground data are essential for biomass remote sensing missions |
url |
http://agritrop.cirad.fr/593896/ http://agritrop.cirad.fr/593896/7/593896.pdf |
work_keys_str_mv |
AT chavejerome grounddataareessentialforbiomassremotesensingmissions AT daviesstuartj grounddataareessentialforbiomassremotesensingmissions AT phillipsoliverl grounddataareessentialforbiomassremotesensingmissions AT lewissimonl grounddataareessentialforbiomassremotesensingmissions AT sistplinio grounddataareessentialforbiomassremotesensingmissions AT schepaschenkodmitry grounddataareessentialforbiomassremotesensingmissions AT armstonjohn grounddataareessentialforbiomassremotesensingmissions AT bakertimothyr grounddataareessentialforbiomassremotesensingmissions AT coomesdavida grounddataareessentialforbiomassremotesensingmissions AT disneymathias grounddataareessentialforbiomassremotesensingmissions AT duncansonlaura grounddataareessentialforbiomassremotesensingmissions AT heraultbruno grounddataareessentialforbiomassremotesensingmissions AT labrierenicolas grounddataareessentialforbiomassremotesensingmissions AT meyervictoria grounddataareessentialforbiomassremotesensingmissions AT rejoumechainmaxime grounddataareessentialforbiomassremotesensingmissions AT scipalklaus grounddataareessentialforbiomassremotesensingmissions AT saatchisassan grounddataareessentialforbiomassremotesensingmissions |
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