five

boreal_wetland_recovery_sentinel

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NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/nvdnrhf833
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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.
创建时间:
2025-05-21
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