Biomass of dense forests related to L-Band SAR backscatter ?

Synthetic aperture radar (SAR) is one of the most promising remote sensor to map forest carbon. The unique spaceborne and long-wavelength SAR data currently available are L-band data, but their relationship with forest biomass is still under controversy, particularly for high biomass values. While many studies assume a complete loss of sensitivity above a saturation point, typically around 100 t.ha-1, others assume a continuous positive correlation between SAR backscatter and biomass. The objective of this paper is to revisit the relationship between L-band SAR backscatter and dense tropical forest biomass for a large range of biomass values, using both theoretical and experimental approaches. Both approaches revealed that after reaching a maximum value, SAR backscatter correlates negatively with forest biomass. This phenomenon is interpreted as a signal attenuation from the forest canopy as the canopy becomes denser. This result has strong implication for L-band vegetation mapping as it can lead to a more-than-expected biomass under-estimation.

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Main Authors: Mermoz, Stéphane, Rejou-Mechain, Maxime, Villard, Ludovic, Le Toan, Thuy, Rossi, Vivien, Gourlet-Fleury, Sylvie
Format: conference_item biblioteca
Language:eng
Published: s.n.
Subjects:U30 - Méthodes de recherche, K01 - Foresterie - Considérations générales, U10 - Informatique, mathématiques et statistiques,
Online Access:http://agritrop.cirad.fr/574575/
http://agritrop.cirad.fr/574575/1/document_574575.pdf
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spelling dig-cirad-fr-5745752022-04-15T09:18:56Z http://agritrop.cirad.fr/574575/ http://agritrop.cirad.fr/574575/ Biomass of dense forests related to L-Band SAR backscatter ? Mermoz Stéphane, Rejou-Mechain Maxime, Villard Ludovic, Le Toan Thuy, Rossi Vivien, Gourlet-Fleury Sylvie. 2014. In : International Geoscience and Remote Sensing Symposium (IGARSS 2014), Québec, Canada, July 13-18, 2014. IEEE. New-York : s.n., 1037-1040. International Geoscience and Remote Sensing Symposium, Québec, Canada, 13 Juillet 2014/18 Juillet 2014.https://doi.org/10.1109/IGARSS.2014.6946605 <https://doi.org/10.1109/IGARSS.2014.6946605> Researchers Biomass of dense forests related to L-Band SAR backscatter ? Mermoz, Stéphane Rejou-Mechain, Maxime Villard, Ludovic Le Toan, Thuy Rossi, Vivien Gourlet-Fleury, Sylvie eng 2014 s.n. International Geoscience and Remote Sensing Symposium (IGARSS 2014), Québec, Canada, July 13-18, 2014 U30 - Méthodes de recherche K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques Synthetic aperture radar (SAR) is one of the most promising remote sensor to map forest carbon. The unique spaceborne and long-wavelength SAR data currently available are L-band data, but their relationship with forest biomass is still under controversy, particularly for high biomass values. While many studies assume a complete loss of sensitivity above a saturation point, typically around 100 t.ha-1, others assume a continuous positive correlation between SAR backscatter and biomass. The objective of this paper is to revisit the relationship between L-band SAR backscatter and dense tropical forest biomass for a large range of biomass values, using both theoretical and experimental approaches. Both approaches revealed that after reaching a maximum value, SAR backscatter correlates negatively with forest biomass. This phenomenon is interpreted as a signal attenuation from the forest canopy as the canopy becomes denser. This result has strong implication for L-band vegetation mapping as it can lead to a more-than-expected biomass under-estimation. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/574575/1/document_574575.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1109/IGARSS.2014.6946605 10.1109/IGARSS.2014.6946605 info:eu-repo/semantics/altIdentifier/doi/10.1109/IGARSS.2014.6946605 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1109/IGARSS.2014.6946605
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 U30 - Méthodes de recherche
K01 - Foresterie - Considérations générales
U10 - Informatique, mathématiques et statistiques
U30 - Méthodes de recherche
K01 - Foresterie - Considérations générales
U10 - Informatique, mathématiques et statistiques
spellingShingle U30 - Méthodes de recherche
K01 - Foresterie - Considérations générales
U10 - Informatique, mathématiques et statistiques
U30 - Méthodes de recherche
K01 - Foresterie - Considérations générales
U10 - Informatique, mathématiques et statistiques
Mermoz, Stéphane
Rejou-Mechain, Maxime
Villard, Ludovic
Le Toan, Thuy
Rossi, Vivien
Gourlet-Fleury, Sylvie
Biomass of dense forests related to L-Band SAR backscatter ?
description Synthetic aperture radar (SAR) is one of the most promising remote sensor to map forest carbon. The unique spaceborne and long-wavelength SAR data currently available are L-band data, but their relationship with forest biomass is still under controversy, particularly for high biomass values. While many studies assume a complete loss of sensitivity above a saturation point, typically around 100 t.ha-1, others assume a continuous positive correlation between SAR backscatter and biomass. The objective of this paper is to revisit the relationship between L-band SAR backscatter and dense tropical forest biomass for a large range of biomass values, using both theoretical and experimental approaches. Both approaches revealed that after reaching a maximum value, SAR backscatter correlates negatively with forest biomass. This phenomenon is interpreted as a signal attenuation from the forest canopy as the canopy becomes denser. This result has strong implication for L-band vegetation mapping as it can lead to a more-than-expected biomass under-estimation.
format conference_item
topic_facet U30 - Méthodes de recherche
K01 - Foresterie - Considérations générales
U10 - Informatique, mathématiques et statistiques
author Mermoz, Stéphane
Rejou-Mechain, Maxime
Villard, Ludovic
Le Toan, Thuy
Rossi, Vivien
Gourlet-Fleury, Sylvie
author_facet Mermoz, Stéphane
Rejou-Mechain, Maxime
Villard, Ludovic
Le Toan, Thuy
Rossi, Vivien
Gourlet-Fleury, Sylvie
author_sort Mermoz, Stéphane
title Biomass of dense forests related to L-Band SAR backscatter ?
title_short Biomass of dense forests related to L-Band SAR backscatter ?
title_full Biomass of dense forests related to L-Band SAR backscatter ?
title_fullStr Biomass of dense forests related to L-Band SAR backscatter ?
title_full_unstemmed Biomass of dense forests related to L-Band SAR backscatter ?
title_sort biomass of dense forests related to l-band sar backscatter ?
publisher s.n.
url http://agritrop.cirad.fr/574575/
http://agritrop.cirad.fr/574575/1/document_574575.pdf
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