Supporting Data and Codes for Plastic-Mulched Farmland Mapping in Northeast China

This dataset provides the supporting data, sample records, feature tables, and source codes used for plastic-mulched farmland mapping in Northeast China based on Landsat imagery and machine learning methods. The dataset includes: (1) Training and validation sample datasets used for model development and accuracy assessment; (2) Spatial zoning datasets used for regionalized modeling and classification optimization; (3) Feature extraction tables and sample feature datasets derived from remote sensing imagery; (4) Google Earth Engine (GEE) scripts for image preprocessing, composite generation, feature construction, and sample extraction; (5) Model training and evaluation scripts used for machine learning classification and performance assessment; (6) README documentation describing dataset structure, file organization, and workflow instructions. These materials are provided to support transparency, reproducibility, and further research on plastic-mulched farmland mapping and agricultural remote sensing applications.