A Dataset of Global Land Cover Validation Samples

A dataset of global land cover validation samples in 2015. In order to guarantee the confidence and objective of the validation samples, several existing reference datasets such as GLCNMO2008 training dataset, VIIRS reference dataset, STEP reference dataset, Global cropland reference data and so on, high resolution imagery in the Google earth and time-series NDVI,NDSI values of each related point are integrated to derive the global validation datasets. The dataset is provided in .shp format.本数据集为2015年全球土地覆盖验证样本集。为保障验证样本的可信度与客观性，研究团队整合了GLCNMO2008训练数据集、VIIRS参考数据集、STEP参考数据集、全球耕地参考数据等多套现有参考数据集，以及谷歌地球（Google Earth）中的高分辨率影像、各相关点位的时间序列归一化差分植被指数（NDVI）与归一化差分积雪指数（NDSI）数值，以此生成该全球验证数据集。该数据集以.shp格式提供。