ZhangButtoKhareEtAl2020

Référence

Zhang, S., Butto, V., Khare, S., Deslauriers, A., Morin, H., Huang, J.-G., Ren, H., Rossi, S. (2020) Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand [Étalonnage d’images de PhenoCam avec des observations phénologiques d’un peuplement d’épinette noire]. Canadian Journal of Remote Sensing, 46(2):154-165. (Scopus )

Résumé

Bud and leaf development are important phenological events and help in defining the growing period of trees. Canopy greenness derived from PhenoCam has been used to investigate leaf phenology. Questions remain on how much the continuous records of canopy greenness represent bud developmental phases, and how growing period boundaries are related to canopy greenness and bud phenology. In this study, we compared bud phenology of black spruce [Picea mariana (Mill.) B.S.P] during 2015, 2017 and 2018 with the canopy greenness, represented by Green Chromatic Coordinate (GCC), derived from PhenoCam images of a boreal stand in Quebec, Canada. Logit models were applied to estimate the probability of observing sequential phenological phases of bud burst and bud set along with GCC. GCC showed a bell-shaped pattern, with a slow increase in spring, a peak in summer and a gradual decrease in autumn. The start and end of budburst, and bud set, occurred when GCC reached 72% and 92% (spring), and 94% (autumn) of its maximum amplitude, respectively. These GCC values are reliable thresholds indicating the growing period boundaries. Our study builds a bridge between phenological observations and automatic near-surface remote sensing, providing a statistically sound protocol for calibrating PhenoCam with field observations. ©, Copyright © CASI.

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@ARTICLE { ZhangButtoKhareEtAl2020,
    AUTHOR = { Zhang, S. and Butto, V. and Khare, S. and Deslauriers, A. and Morin, H. and Huang, J.-G. and Ren, H. and Rossi, S. },
    JOURNAL = { Canadian Journal of Remote Sensing },
    TITLE = { Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand [Étalonnage d’images de PhenoCam avec des observations phénologiques d’un peuplement d’épinette noire] },
    YEAR = { 2020 },
    NOTE = { cited By 0 },
    NUMBER = { 2 },
    PAGES = { 154-165 },
    VOLUME = { 46 },
    ABSTRACT = { Bud and leaf development are important phenological events and help in defining the growing period of trees. Canopy greenness derived from PhenoCam has been used to investigate leaf phenology. Questions remain on how much the continuous records of canopy greenness represent bud developmental phases, and how growing period boundaries are related to canopy greenness and bud phenology. In this study, we compared bud phenology of black spruce [Picea mariana (Mill.) B.S.P] during 2015, 2017 and 2018 with the canopy greenness, represented by Green Chromatic Coordinate (GCC), derived from PhenoCam images of a boreal stand in Quebec, Canada. Logit models were applied to estimate the probability of observing sequential phenological phases of bud burst and bud set along with GCC. GCC showed a bell-shaped pattern, with a slow increase in spring, a peak in summer and a gradual decrease in autumn. The start and end of budburst, and bud set, occurred when GCC reached 72% and 92% (spring), and 94% (autumn) of its maximum amplitude, respectively. These GCC values are reliable thresholds indicating the growing period boundaries. Our study builds a bridge between phenological observations and automatic near-surface remote sensing, providing a statistically sound protocol for calibrating PhenoCam with field observations. ©, Copyright © CASI. },
    AFFILIATION = { Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, No.723, Xingke Road, Tianhe District, Guangzhou, 510650, China; Center of Plant Ecology, Core Botanical Gardens, Chinese Academy of Sciences, No.723, Xingke Road, Tianhe District, Guangzhou, 510650, China; Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, No.723, Xingke Road, Tianhe District, Guangzhou, 510650, China; Département des Sciences Fondamentales, Université du Québec à Chicoutimi, 555, boulevard de l’Université, Chicoutimi, G7H 2B1, Canada },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1080/07038992.2020.1761251 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084854286&doi=10.1080%2f07038992.2020.1761251&partnerID=40&md5=6bd9a735880fdd1a3a9a789597d36a76 },
}

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