BeaudoinBernierVillemaireEtAl2018

Référence

Beaudoin, A., Bernier, P.Y., Villemaire, P., Guindon, L. and Guo, X.J. (2018) Tracking forest attributes across Canada between 2001 and 2011 using a k nearest neighbors mapping approach applied to MODIS imagery. Canadian Journal of Forest Research, 48(1):85-93. (Scopus )

Résumé

Mapping Canada’s forests is a significant challenge given their extent and the interprovincial differences in forest inventories. We created new sets of nationally consistent forest attribute maps for the years 2001 and 2011 by building upon previously published work with the objective to determine if sequential maps of forest attributes could be used to quantify changes over time. We first refined our previously published methodology of using the k nearest neighbors (kNN) prediction method and MODIS spectral reflectance data as predictive variables. The maps were generated using an improved reference dataset and a new analytical kNN workflow. We then evaluated 2001 to 2011 changes in two key attributes, aboveground biomass and percent tree cover, on pixels identified from published sources as having undergone fire, harvest, or postdisturbance regrowth during that period. For all three change types, average changes in both aboveground biomass and percent tree cover between 2001 and 2011 matched expectations relative to the dynamics of Canadian forests. Our results support the use of sequential national maps of forest attributes for evaluating regionally aggregated disturbance-related changes in forest properties. The new forest attribute maps are available from Beaudoin et al. (2017; doi:10.23687/ec9e2659-1c29-4ddb-87a2-6aced147a990) at http://ouvert.canada.ca/data/fr/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990. © Her Majesty the Queen in right of Canada 2017.

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@ARTICLE { BeaudoinBernierVillemaireEtAl2018,
    AUTHOR = { Beaudoin, A. and Bernier, P.Y. and Villemaire, P. and Guindon, L. and Guo, X.J. },
    TITLE = { Tracking forest attributes across Canada between 2001 and 2011 using a k nearest neighbors mapping approach applied to MODIS imagery },
    JOURNAL = { Canadian Journal of Forest Research },
    YEAR = { 2018 },
    VOLUME = { 48 },
    NUMBER = { 1 },
    PAGES = { 85-93 },
    NOTE = { cited By 0 },
    ABSTRACT = { Mapping Canada’s forests is a significant challenge given their extent and the interprovincial differences in forest inventories. We created new sets of nationally consistent forest attribute maps for the years 2001 and 2011 by building upon previously published work with the objective to determine if sequential maps of forest attributes could be used to quantify changes over time. We first refined our previously published methodology of using the k nearest neighbors (kNN) prediction method and MODIS spectral reflectance data as predictive variables. The maps were generated using an improved reference dataset and a new analytical kNN workflow. We then evaluated 2001 to 2011 changes in two key attributes, aboveground biomass and percent tree cover, on pixels identified from published sources as having undergone fire, harvest, or postdisturbance regrowth during that period. For all three change types, average changes in both aboveground biomass and percent tree cover between 2001 and 2011 matched expectations relative to the dynamics of Canadian forests. Our results support the use of sequential national maps of forest attributes for evaluating regionally aggregated disturbance-related changes in forest properties. The new forest attribute maps are available from Beaudoin et al. (2017; doi:10.23687/ec9e2659-1c29-4ddb-87a2-6aced147a990) at http://ouvert.canada.ca/data/fr/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990. © Her Majesty the Queen in right of Canada 2017. },
    AFFILIATION = { Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, P.O. Box 10380 Stn. Sainte-Foy, Québec, QC, Canada },
    AUTHOR_KEYWORDS = { Biomass change; Disturbances; Forest inventory; Forest monitoring; Nonparametric estimation },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1139/cjfr-2017-0184 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039995004&doi=10.1139%2fcjfr-2017-0184&partnerID=40&md5=311f1842e5eeb6990fac9cce41831d9e },
}

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