2016-2020年滇中地区10米LULC分类数据集（第一版）

该数据集为云南省滇中地区2016-2020年的土地利用/土地覆盖数据，含5个子数据。数据均通过Google earth engine平台中的随机森林分类器生产。在生产过程中，所有的流程都被严格地监督和执行，比如高质量影像数据合成、样本点筛选、精度评价等 。数据的平均总体精度大于85%，具有一定可靠性。数据可为后续的土地利用/土地覆盖变化研究提供基础；同时，可为滇中地区的土地资源管理、自然资源调查以及环境监测等提供数据基础。

This dataset covers land use/land cover data of the central Yunnan region in Yunnan Province from 2016 to 2020, including 5 sub-datasets. All datasets were generated using the Random Forest classifier on the Google Earth Engine platform. During the generation process, all workflows were strictly supervised and implemented, such as high-quality image data synthesis, sample point screening, accuracy assessment, and so on. The average overall accuracy of the dataset exceeds 85%, demonstrating its certain reliability. This dataset can provide a fundamental basis for subsequent studies on land use/land cover change; meanwhile, it can also serve as a data foundation for land resource management, natural resource surveys, and environmental monitoring in the central Yunnan region.