FROM-GLC Plus

Building on the earlier Global Land Cover Mapping (Finer Resolution Observation and Monitoring - Global Land Cover, FROM-GLC), we developed the improved Global Land Cover Change Monitoring Platform (FROM-GLC Plus) using methods such as multi-season sample space-time migration, multi-source data time series reconstruction, and machine learning. The FROM-GLC Plus system provides a capacity for producing global land cover change data set from the 1980s with flexibility in spatio–temporal details. The preliminary results of multi-resolution land cover maps in Chicago, U. S. is given here.<br>Values in the files: 10-cropland20-forest30-grassland40-shrubland50-wetland60-water70-tundra80-impervious90-bare land100-ice/snow120-clouds

本研究依托早期的全球土地覆盖制图（Finer Resolution Observation and Monitoring - Global Land Cover，FROM-GLC），采用多季样本时空迁移、多源数据时序重构及机器学习等方法，开发了升级后的全球土地覆盖变化监测平台（FROM-GLC Plus）。该平台可生成自20世纪80年代起的全球土地覆盖变化数据集，且时空细节具备灵活可调性。此处展示了美国芝加哥地区多分辨率土地覆盖图的初步成果。文件内的编码含义如下：10代表耕地、20代表林地、30代表草地、40代表灌丛、50代表湿地、60代表水体、70代表苔原、80代表不透水面、90代表裸地、100代表冰雪、120代表云。