Zhang Di, Wang Hao, Wang Xu, Lü Zhi
School of Life Sciences, Peking University, Beijing, 100871, China.
Data Brief. 2020 Feb 1;29:105238. doi: 10.1016/j.dib.2020.105238. eCollection 2020 Apr.
Remote-sensing products have emerged as key tools in forest cover monitoring. Their quality vary spatially, local validations are recommended before using the data for inventory and management tasks. We conducted a validation based on a visual interpretation procedure using high-resolution optical imagery on Google Earth to map the uncertainties and inaccuracies of Global Forest Watch (GFW) Tree Cover 2000 in China. The article provides the reference dataset applied in Zhang et al. (2020). The reference data has a total amount of 96 364 sample pixels collected using spatially stratified random sampling method. The samples were labelled with land use classifications and can provide further usage for remote sensing products.
遥感产品已成为森林覆盖监测的关键工具。其质量在空间上存在差异，建议在将数据用于清查和管理任务之前进行局部验证。我们基于视觉判读程序，利用谷歌地球上的高分辨率光学图像进行了验证，以绘制中国全球森林观察（GFW）2000年树木覆盖的不确定性和不准确之处。本文提供了张等人（2020年）应用的参考数据集。参考数据共有96364个样本像素，采用空间分层随机抽样方法收集。样本被标记了土地利用分类，可为遥感产品提供进一步的用途。
