A cellular automata downscaling based 1 km global land use datasets (2010–2100)

This database includes fractional cover types (i.e., cropland, forest, grass, shrub, wetland, water, impervious, barren, snow/ice, and urban green spaces) at 30 arc second, under four representative concentration pathway (RCP) (i.e., RCP26, RCP45, RCP60,and RCP85) scenarios in future (2010-2100). The value of each pixel indicates the fraction of this cover in each grid. Should multiple a scaling value of 0.01. The dataformat is GeoTIFF. More details about this dataset can be found in: Li, X., Yu, L., Sohl, T., Clinton, N., Li, W., Zhu, Z., Liu, X., &amp; Gong, P. (2016). A cellular automata downscaling based 1 km global land use datasets (2010–2100). <i>Science Bulletin, 61</i>, 1651-1661.

本数据集涵盖未来（2010-2100年）四种典型浓度路径（Representative Concentration Pathway，RCP）情景下、分辨率为30弧秒的地表覆盖组分数据，覆盖类型包括耕地、森林、草地、灌丛、湿地、水体、不透水面、裸地、积雪/冰川及城市绿地。每个像素的数值代表对应网格内该类地表覆盖的占比，需乘以缩放系数0.01。数据格式为GeoTIFF。有关本数据集的更多细节可参阅：Li X、Yu L、Sohl T、Clinton N、Li W、Zhu Z、Liu X及Gong P（2016）发表于《科学通报》第61卷的《基于元胞自动机降尺度的1 km全球土地利用数据集（2010-2100）》一文，页码范围为1651至1661。