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

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Résumé : 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.

Classification Agris : U30 - Méthodes de recherche
K01 - Foresterie - Considérations générales
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations

  • Mermoz Stéphane, CESBIO (FRA)
  • Rejou-Mechain Maxime, CIRAD-BIOS-UMR AMAP (FRA)
  • Villard Ludovic, CESBIO (FRA)
  • Le Toan Thuy, CESBIO (FRA)
  • Rossi Vivien, CIRAD-ES-UPR BSef (CMR) ORCID: 0000-0001-5458-1523
  • Gourlet-Fleury Sylvie, CIRAD-ES-UPR BSef (FRA) ORCID: 0000-0002-1136-4307

Source : Cirad - Agritrop (https://agritrop.cirad.fr/574575/)

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