boreal_wetland_recovery_sentinel
Published: 21 May 2025| Version 1 | DOI: 10.17632/nvdnrhf833.1
Contributor:
Carl AyerDescription
These data were used to train and validate predictive models for the temporal change of four vegetation metrics. Metrics are expressed as a proportion of the associated Sentinel-2 cells. Proportions of jack pine, tamarack, and exposed herbaceous vegetation were derived from aerial field estimates. The height metric derives from a LiDAR CHM expressed as the maximum at 1 m resolution, then expressed as a proportion of the Sentinel-2 cell over 2 m in height. Spatial attributes have been removed, but training values extracted from Sentinel-2 bands and spectral indices are included ('Training Features'). Individual Sentinel-2 scenes used in the study are listed. The data dictionary provides additional details about each attribute.
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Categories
Remote Sensing, Ecosystem Restoration, Wetland Ecology, Wetland Management, Sentinel-2