Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass
The understanding of mangrove ecosystems functioning requires techniques allowing their forest structure and forest biomass to be assessed. Among them, radar measurements have demonstrated powerful capabilities that, however, must be validated extensively, both spatially and physically. Beyond their intrinsic potential to provide basic information on tree growth and forest functioning, 3D tree architecture studies could help the interpretation of radar signal scattering within forest canopies to be performed and thus, improve the accuracy of radar inversion algorithms for estimating forest parameters such as total above-ground biomass and component biomass. Topological measurements have been conducted at different growth stages on Avicennia germinans trees with height less than 5 meters. For each tree measured, leaf size, nodes length and diameter are coded using the AMAPmod terminology. Thanks to this software and assuming stands composed of identical trees, input parameters for the radar backscatter models of forests are then derived from architectural analysis. The simulated radar responses are compared to radar measurements when available. The effect of tree architecture and the structure of associated stands are discussed with the objectives to estimate forest parameters using radar data. This work comes within the international project ALOS Kyoto and Carbon Initiative aiming to monitor forest dynamics, particularly mangrove forests. (Texte intégral)
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dig-cirad-fr-5596142018-10-12T19:55:24Z http://agritrop.cirad.fr/559614/ http://agritrop.cirad.fr/559614/ Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass. Melius Alex, Proisy Christophe, Heuret Patrick, Boudon Frédéric. 2004. In : ECOLAB 2004, November 30 - December 05, 2004, Cayenne, French Guyana. s.l. : s.n., Résumé, 1 p. ECOLAB 2004, Cayenne, Guyane française, 30 Novembre 2004/5 Décembre 2004. Researchers Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass Melius, Alex Proisy, Christophe Heuret, Patrick Boudon, Frédéric eng 2004 s.n. ECOLAB 2004, November 30 - December 05, 2004, Cayenne, French Guyana U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement The understanding of mangrove ecosystems functioning requires techniques allowing their forest structure and forest biomass to be assessed. Among them, radar measurements have demonstrated powerful capabilities that, however, must be validated extensively, both spatially and physically. Beyond their intrinsic potential to provide basic information on tree growth and forest functioning, 3D tree architecture studies could help the interpretation of radar signal scattering within forest canopies to be performed and thus, improve the accuracy of radar inversion algorithms for estimating forest parameters such as total above-ground biomass and component biomass. Topological measurements have been conducted at different growth stages on Avicennia germinans trees with height less than 5 meters. For each tree measured, leaf size, nodes length and diameter are coded using the AMAPmod terminology. Thanks to this software and assuming stands composed of identical trees, input parameters for the radar backscatter models of forests are then derived from architectural analysis. The simulated radar responses are compared to radar measurements when available. The effect of tree architecture and the structure of associated stands are discussed with the objectives to estimate forest parameters using radar data. This work comes within the international project ALOS Kyoto and Carbon Initiative aiming to monitor forest dynamics, particularly mangrove forests. (Texte intégral) conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/559614/1/document_559614.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=183911 |
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U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement |
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U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement Melius, Alex Proisy, Christophe Heuret, Patrick Boudon, Frédéric Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass |
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The understanding of mangrove ecosystems functioning requires techniques allowing their forest structure and forest biomass to be assessed. Among them, radar measurements have demonstrated powerful capabilities that, however, must be validated extensively, both spatially and physically. Beyond their intrinsic potential to provide basic information on tree growth and forest functioning, 3D tree architecture studies could help the interpretation of radar signal scattering within forest canopies to be performed and thus, improve the accuracy of radar inversion algorithms for estimating forest parameters such as total above-ground biomass and component biomass. Topological measurements have been conducted at different growth stages on Avicennia germinans trees with height less than 5 meters. For each tree measured, leaf size, nodes length and diameter are coded using the AMAPmod terminology. Thanks to this software and assuming stands composed of identical trees, input parameters for the radar backscatter models of forests are then derived from architectural analysis. The simulated radar responses are compared to radar measurements when available. The effect of tree architecture and the structure of associated stands are discussed with the objectives to estimate forest parameters using radar data. This work comes within the international project ALOS Kyoto and Carbon Initiative aiming to monitor forest dynamics, particularly mangrove forests. (Texte intégral) |
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U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales F40 - Écologie végétale F62 - Physiologie végétale - Croissance et développement |
author |
Melius, Alex Proisy, Christophe Heuret, Patrick Boudon, Frédéric |
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Melius, Alex Proisy, Christophe Heuret, Patrick Boudon, Frédéric |
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Melius, Alex |
title |
Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass |
title_short |
Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass |
title_full |
Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass |
title_fullStr |
Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass |
title_full_unstemmed |
Coupling Avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass |
title_sort |
coupling avicennia tree architecture to radar backscatter models for estimating mangrove forest biomass |
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http://agritrop.cirad.fr/559614/ http://agritrop.cirad.fr/559614/1/document_559614.pdf |
work_keys_str_mv |
AT meliusalex couplingavicenniatreearchitecturetoradarbackscattermodelsforestimatingmangroveforestbiomass AT proisychristophe couplingavicenniatreearchitecturetoradarbackscattermodelsforestimatingmangroveforestbiomass AT heuretpatrick couplingavicenniatreearchitecturetoradarbackscattermodelsforestimatingmangroveforestbiomass AT boudonfrederic couplingavicenniatreearchitecturetoradarbackscattermodelsforestimatingmangroveforestbiomass |
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1758022864220454913 |