100 Class - Canadian Ecological Domain Classification from Satellite Data.

100 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).

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Dernière modification janvier 16, 2026, 20:39 (TU)
Créé le janvier 16, 2026, 20:39 (TU)
contains_pii non
crisis_categories Canicules
criticality_level Faible
data_formats HTML; PDF; WMS; ZIP
fair_openness Level 2 - Machine-readable
geographic_scope Canada
sensitivity_level Faible
source_inventaire Inventaire_W
source_url https://open.canada.ca/data/en/dataset/01e01816-9f08-49eb-a5ac-7480195d90d4
subject form_descriptors, nature_and_environment, science_and_technology
update_frequency as_needed
year_most_recent 2021-05-18 21:57:29.411000
year_start 2020-12-02 22:00:53.437000