Major Crop Classification and Trajectories in Northeast China, 2000-2020

Geospatial raster data classifies major crops in Northeast China into rice, soybean, and maize from 2000 to 2020. The dataset includes derived crop trajectory maps identifying 18 distinct change patterns over the 21-year period. It was authored by Qiyuan Hu and published on figshare in May 2026.

Use Cases

• Mapping the spatial distribution of rice, soybean, and maize based on the three-category classification.
• Analyzing long-term crop planting trends and shifts based on the 21-year time series.
• Identifying patterns of agricultural land conversion or stability based on the 18 derived crop trajectories.
• Validating remote sensing classification algorithms for crop monitoring based on the GeoTIFF raster data.

Strengths

• Provides a 21-year time series of annual crop classification from 2000 to 2020.
• Classifies three major crop types (rice, soybean, maize) with defined raster value codes.
• Derives 18 distinct crop trajectory patterns from the annual classification maps.
• Data is provided in the standardized GeoTIFF raster format with a defined geographic coordinate system (GCS_WGS_1984).

Limitations

• Column-level documentation is absent; field semantics for trajectory data must be inferred from the separate Excel file after download.
• The dataset is 21.0 MB, which is a relatively small scale for raster data and may indicate limited spatial resolution or extent.
• Row count is unknown, which may limit suitability assessment for large-scale statistical modeling.

Provenance

Source

Qiyuan Hu

Collection Method

Derived from annual crop classification maps using a temporal window algorithm.

Time Range

2000 to 2020

Freshness

Last updated 2026-05-27 15:33:49; freshness should be verified.

Geography

Northeast China