A sampling dataset of canopy cover across Daxing'anling forests at 30 m using UAV visible imagery

The sampling dataset of canopy cover across Daxing’anling forests for the year 2018 contained 77 sampling sites, and each of samplings was 720 m * 720 m with 30 m resolutions. The dataset was produced based on high-resolution UAV visible images. First, the two types of backgrounds, i.e., shaded gaps and sunlit gaps, was detected using the spectral information of DOM and structural analysis of DSM, respectively; Secondly, the DSM was inverted and segmented by watershed method, and tree crowns was mosaics of segmentations excluding the identified two types of backgrounds and other gap pixels located within segmentations, and the canopy cover was the ratio of tree crowns to that of a forest stand.