High-Resolution Land-Use Change Dataset for China (1950–2100)

High-Resolution Land-Use Change Dataset for China (1950–2100)

This dataset provides spatially explicit land-use maps for 31 provinces of China from 1950 to 2100 at a 5-year interval and 100 m spatial resolution. It integrates historical reconstructions (1950–2015) and future simulations (2020–2100) under eight SSP-RCP scenarios. The dataset accompanies the manuscript:

Integrating historical reconstruction and future simulation for mapping high-resolution land-use change in China from 1950 to 2100

Note: Hong Kong, Macau, and Taiwan are excluded due to data limitations.

Coordinate System

All GeoTIFF files are projected in the Asia North Albers Equal Area Conic projection (EPSG:102025). Pixel size is 100 m × 100 m.

Land-Use Classification

Each pixel stores an integer value representing one of six land-use types:

Value
Land-Use Type

0
NoData

1
Cropland

2
Forest

3
Grassland

4
Water bodies

5
Urban

6
Barren land

Directory Structure

├── reconstruct_result/          # Historical reconstruction (1950–2015)

│   ├── Anhui/

│   │   ├── 1950.tif

│   │   ├── 1955.tif

│   │   ├── ...

│   │   └── 2015.tif             (14 time steps: 1950–2015 at 5-year intervals)

│   ├── Beijing/

│   ├── ...

│   └── Zhejiang/                (31 provinces in total)

│

└── simulation_result/           # Future simulation (2020–2100)

    ├── Anhui/

    │   ├── ssp119/

    │   │   ├── 2020.tif

    │   │   ├── ...

    │   │   └── 2100.tif         (17 time steps: 2020–2100 at 5-year intervals)

    │   ├── ssp126/

    │   ├── ssp245/

    │   ├── ssp370/

    │   ├── ssp434/

    │   ├── ssp460/

    │   ├── ssp534/

    │   └── ssp585/              (8 SSP-RCP scenarios in total)

    ├── Beijing/

    ├── ...

    └── Zhejiang/                (31 provinces in total)

Provinces

Anhui, Beijing, Chongqing, Fujian, Gansu, Guangdong, Guangxi, Guizhou, Hainan, Hebei, Heilongjiang, Henan, Hubei, Hunan, Inner Mongolia, Jiangsu, Jiangxi, Jilin, Liaoning, Ningxia, Qinghai, Shaanxi, Shandong, Shanghai, Shanxi, Sichuan, Tianjin, Xinjiang, Xizang, Yunnan, Zhejiang.

SSP-RCP Scenarios

SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0, SSP5-3.4, SSP5-8.5

File Format

All data files are in GeoTIFF format with unsigned integer pixel values. NoData value is 0.

Data Summary

Period    
Spatial Resolution
Provinces
Scenarios

Historical reconstruction
1950–2015
100 m
31
-

Future simulation
2020–2100
100 m
31
8

Usage

The files can be opened with any GIS software (e.g., QGIS, ArcGIS) or programmatically with libraries such as GDAL or rasterio in Python.