Conservation Tillage Practices in Northeast China from Remote Sensing

Raster products of crop residue cover, soil surface roughness, and classified tillage practices across Northeast China. The dataset was generated by integrating multisource remote sensing data, including optical and SAR observations, with physical scattering models. It was authored by hongjun liu and last updated on 2026-05-26.

Use Cases

• Classifying conservation tillage practices (e.g., no-tillage, minimum tillage) based on integrated crop residue cover and soil roughness data.
• Mapping the spatial distribution of maize residue cover after harvest based on multisource remote sensing observations.
• Characterizing farmland surface roughness conditions based on radar backscatter information and physical models.
• Analyzing the relationship between tillage disturbance intensity and soil surface properties based on the integrated datasets.

Strengths

• Integrates multiple remote sensing data sources, including optical and SAR observations.
• Classifies six distinct tillage practices: no-tillage, minimum tillage, strip tillage, ridge tillage, conventional tillage, and rotational tillage.
• Dataset size is 4.1 GB, indicating a medium-scale spatial analysis product.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some analytical tasks.
• Description metadata is limited; actual data quality and spatial resolution require manual inspection after download.

Provenance

Source

figshare

Collection Method

Generated using a joint discrimination framework integrating remote sensing data and physical scattering models.

Freshness

Last updated 2026-05-26 10:02:09; freshness should be verified.

Geography

Northeast China