IrriMap_CN: Annual Irrigation Maps for China from 2000 to 2019

Annual irrigated cropland maps across China from 2000 to 2019 at a 500-meter resolution. The maps were developed by Chao Zhang and colleagues using MODIS satellite data, machine learning, and the Google Earth Engine platform. The dataset's spatial reference system is EPSG:4326 (WGS-1984).

Use Cases

• Analyzing long-term trends in irrigated agriculture across China based on the 20-year time series.
• Modeling water resource demand and agricultural sustainability based on the spatial distribution of irrigated croplands.
• Validating or improving other land-use and irrigation products using the machine-learning derived maps.
• Assessing the impact of climate or policy changes on irrigation practices based on the annual maps.

Strengths

• Provides a 20-year time series (2000-2019) for longitudinal analysis.
• Offers national coverage of China at a consistent 500-meter spatial resolution.
• Method is documented in multiple peer-reviewed publications, suggesting scientific validation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• The dataset's last update date is unknown; freshness unverified.

Provenance

Source

Chao Zhang, with associated publications in Remote Sensing of Environment and other journals.

Collection Method

Generated using MODIS satellite observations, environmental variables, and machine learning on the Google Earth Engine platform.

Time Range

2000 to 2019

Geography

China