Global LULC projection dataset from 2020 to 2100 at a 1km resolution

The dataset is on a global scale with a resolution of 1 km grid and encompasses a timespan from 2020 to 2100. These data are projected in the world-Mercator projection coordinate system and are provided in single-band GeoTIFF format, which can be easily utilized by various mainstream GIS and RS platforms such as ArcGIS, QGIS, ENVI, as well as programming languages such as Python and MATLAB. The simulated data files follow a standardized naming convention “sspx_pp_yyyy.tif”, where x represents the simulated SSP scenario (1 to 5), pp represents the simulated RCP scenario; and yyyy represents the simulated year. For example, the data file named “ssp1_26_2030.tif” corresponds to the LULC simulation data for the year 2030 under the SSP1-2.6 scenario. Each GeoTIFF data file includes integer raster attribute values ranging from 1 to 6, which represent the following land use types: cropland, forest, grassland, urban, barren, and water.

本数据集为全球尺度，空间分辨率为1公里栅格，时间跨度为2020年至2100年。本数据集采用墨卡托世界投影（World-Mercator Projection）坐标系，以单波段地理标记图像文件格式（GeoTIFF）提供，可轻松适配各类主流地理信息系统（Geographic Information System, GIS）、遥感（Remote Sensing, RS）平台（如ArcGIS、QGIS、ENVI）以及Python、MATLAB等编程语言环境。模拟数据文件遵循标准化命名规则`sspx_pp_yyyy.tif`，其中x代表模拟的共享社会经济路径（Shared Socioeconomic Pathways, SSP）情景（取值范围为1至5），pp代表模拟的典型浓度路径（Representative Concentration Pathways, RCP）情景，yyyy代表模拟年份。例如，名为`ssp1_26_2030.tif`的数据文件，对应SSP1-2.6情景下2030年的土地利用/土地覆被（Land Use/Land Cover, LULC）模拟数据。每个GeoTIFF数据文件包含取值区间为1至6的整型栅格属性值，分别对应以下6类土地利用类型：耕地、林地、草地、城镇用地、裸地及水域。

搜集汇总

背景与挑战

背景概述

该数据集是一个全球土地覆盖变化预测数据集，覆盖2020年至2100年，空间分辨率为1公里，提供多种SSP和RCP情景下的未来土地覆盖模拟数据。数据以GeoTIFF格式存储，采用标准命名规则，包含六种土地类型分类，适用于GIS和遥感分析平台及编程语言，支持全球环境变化研究。