RossiZhangDeslauriesEtAl2019

Référence

Rossi, S., Zhang, S., Deslauries, A., Butto, V., Morin, H., Huang, J.-G., Ren, H., Khare, S. (2019) Linking phenocam derived phenology with field observations in the boreal forest. In 2019 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2019 - Proceedings. Pages 132-133. (Scopus )

Résumé

Bud phenology is a sensitive indicator of climate change. Therefore, it's important to understand the direct relationship of canopy greenness and bud phenological events at higher spatial and temporal resolutions. Recently, phenocam based near surface remote sensing methods has been extensively used for time series analysis of canopy greenness to measure leaf and canopy phenological transition dates. Thus, this study compared the spring and autumnal bud phenological phases of black spruce[Picea mariana(Mill.) B.S.P] derived from field observations and greenness time-series data derived from phenocam. Results indicated that the 72th and 92th percentage of the GCC amplitude corresponded to the start and end of bud burst, respectively, and considered as the essential reference points for start of the canopy growing season. Whereas, end of bud set was represented by the 94th percentage of the GCC and may be considered as an option for the end of vegetation development. Overall, results enabled new dimensions to process time series phenocam-derived indices and to establish their relationship with field based observations. © 2019 IEEE.

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@INPROCEEDINGS { RossiZhangDeslauriesEtAl2019,
    AUTHOR = { Rossi, S. and Zhang, S. and Deslauries, A. and Butto, V. and Morin, H. and Huang, J.-G. and Ren, H. and Khare, S. },
    TITLE = { Linking phenocam derived phenology with field observations in the boreal forest },
    YEAR = { 2019 },
    PAGES = { 132-133 },
    NOTE = { cited By 0 },
    ABSTRACT = { Bud phenology is a sensitive indicator of climate change. Therefore, it's important to understand the direct relationship of canopy greenness and bud phenological events at higher spatial and temporal resolutions. Recently, phenocam based near surface remote sensing methods has been extensively used for time series analysis of canopy greenness to measure leaf and canopy phenological transition dates. Thus, this study compared the spring and autumnal bud phenological phases of black spruce[Picea mariana(Mill.) B.S.P] derived from field observations and greenness time-series data derived from phenocam. Results indicated that the 72th and 92th percentage of the GCC amplitude corresponded to the start and end of bud burst, respectively, and considered as the essential reference points for start of the canopy growing season. Whereas, end of bud set was represented by the 94th percentage of the GCC and may be considered as an option for the end of vegetation development. Overall, results enabled new dimensions to process time series phenocam-derived indices and to establish their relationship with field based observations. © 2019 IEEE. },
    AFFILIATION = { Département des Sciences Fondamentales, Université du Québec À Chicoutimi, Chicoutimi, G7H 2B1, Canada; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China },
    ART_NUMBER = { 8909272 },
    AUTHOR_KEYWORDS = { boreal forest; bud burst; bud set },
    DOCUMENT_TYPE = { Conference Paper },
    DOI = { 10.1109/MetroAgriFor.2019.8909272 },
    JOURNAL = { 2019 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2019 - Proceedings },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076355611&doi=10.1109%2fMetroAgriFor.2019.8909272&partnerID=40&md5=5af9c53d65ec3b4ba3608a99afbad5fb },
}

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