1985-2020年中国区域TM-30m土地覆被分类产品数据集

采用统一模型，利用深度学习技术制作的全国30m土地覆盖分类数据集。时间跨度从1985-2020，每5年一期，共8期。基础影像数据以1985年TM5夏季影像为主，分类结果主要包括（1）林地、（2）草地、（3）湿地、（4）水体、（5）耕地、（6）居民地、（7）裸地、（8）积雪几类。

A national 30-meter land cover classification dataset developed with a unified model and deep learning technologies. The dataset covers the period from 1985 to 2020, with 8 temporal phases released every 5 years. The foundational imagery data is primarily sourced from summer TM5 images captured in 1985. The classification results mainly include 8 categories: (1) forest land, (2) grassland, (3) wetland, (4) water bodies, (5) cropland, (6) built-up areas, (7) bare land, and (8) snow cover.