Matt Macander developed reproducible methods to analyze and summarize Dynamic World products for use both as wildlife habitat metrics and as covariates in vegetation cover models. The Dynamic World product is developed for every Sentinel-2 Level 1C image with ≤ 35% cloud cover, yielding up to several maps a week since 2015. For each time step, it provides an estimated probability, at 10-meter resolution, for 9 land cover/land use classes. ABR summarized the Dynamic World data to estimate multiple land cover metrics relevant to characterizing habitats used by wolves, including snow-free and snow-on dates, and monthly and seasonal inundation.
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