MavrovicRoyRoyerEtAl2018

Référence

Mavrovic, A., Roy, A., Royer, A., Filali, B., Boone, F., Pappas, C., Sonnentag, O. (2018) Dielectric characterization of vegetation at L band using an open-ended coaxial probe. Geoscientific Instrumentation, Methods and Data Systems, 7(3):195-208. (Scopus )

Résumé

Decoupling the integrated microwave signal originating from soil and vegetation remains a challenge for all microwave remote sensing applications. To improve satellite and airborne microwave data products in forest environments, a precise and reliable estimation of the relative permittivity (ϵ = ϵ′ - iϵ″) of trees is required. We developed an open-ended coaxial probe suitable for in situ permittivity measurements of tree trunks at L-band frequencies (1-2 GHz). The probe is characterized by uncertainty ratios under 3.3 % for a broad range of relative permittivities (unitless), [2-40] for ϵ′ and [0.1-20] for ϵ″. We quantified the complex number describing the permittivity of seven different tree species in both frozen and thawed states: black spruce, larch, red spruce, balsam fir, red pine, aspen and black cherry. Permittivity variability is substantial and can range up to 300 % for certain species. Our results show that the permittivity of wood is linked to the freeze-thaw state of vegetation and that even short winter thaw events can lead to an increase in vegetation permittivity. The open-ended coaxial probe proved to be precise enough to capture the diurnal cycle of water storage inside the trunk for the length of the growing season. © 2018 Author(s).

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@ARTICLE { MavrovicRoyRoyerEtAl2018,
    AUTHOR = { Mavrovic, A. and Roy, A. and Royer, A. and Filali, B. and Boone, F. and Pappas, C. and Sonnentag, O. },
    TITLE = { Dielectric characterization of vegetation at L band using an open-ended coaxial probe },
    JOURNAL = { Geoscientific Instrumentation, Methods and Data Systems },
    YEAR = { 2018 },
    VOLUME = { 7 },
    NUMBER = { 3 },
    PAGES = { 195-208 },
    NOTE = { cited By 0 },
    ABSTRACT = { Decoupling the integrated microwave signal originating from soil and vegetation remains a challenge for all microwave remote sensing applications. To improve satellite and airborne microwave data products in forest environments, a precise and reliable estimation of the relative permittivity (ϵ = ϵ′ - iϵ″) of trees is required. We developed an open-ended coaxial probe suitable for in situ permittivity measurements of tree trunks at L-band frequencies (1-2 GHz). The probe is characterized by uncertainty ratios under 3.3 % for a broad range of relative permittivities (unitless), [2-40] for ϵ′ and [0.1-20] for ϵ″. We quantified the complex number describing the permittivity of seven different tree species in both frozen and thawed states: black spruce, larch, red spruce, balsam fir, red pine, aspen and black cherry. Permittivity variability is substantial and can range up to 300 % for certain species. Our results show that the permittivity of wood is linked to the freeze-thaw state of vegetation and that even short winter thaw events can lead to an increase in vegetation permittivity. The open-ended coaxial probe proved to be precise enough to capture the diurnal cycle of water storage inside the trunk for the length of the growing season. © 2018 Author(s). },
    AFFILIATION = { Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, QC, Canada; Centre d'Études Nordiques, Université Laval, Québec, QC, Canada; Département des Sciences de l'Environnement, Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, QC, Canada; Terraprobe Geoscience Corp., Vancouver, BC, Canada; Centre de Recherche en Nanofabrication et en Nanocaractérisation, Université de Sherbrooke, Sherbrooke, QC, Canada; Département de Géographie, Université de Montréal, Montréal, QC, Canada },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.5194/gi-7-195-2018 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049968238&doi=10.5194%2fgi-7-195-2018&partnerID=40&md5=45b8fbbfe683bb7dd7823107a5651f2f },
}

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