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A 10-m resolution dataset of plastic-mulched farmland distributions on the Chinese Loess Plateau (2019-2021)

  • 0Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education, Northwest A&F University, Yangling, 712100, China.
Scientific Data +

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December 11, 2025

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December 11, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Researchers created the first 10-m resolution plastic-mulched farmland (PMF) maps for the Loess Plateau. These maps aid in assessing pollution and forecasting crop yields in arid regions.

Area Of Science

  • Agricultural Science
  • Environmental Science
  • Remote Sensing

Background

  • Plastic film mulching is vital for crop yields in arid regions but causes pollution and ecosystem changes.
  • Mapping plastic-mulched farmland (PMF) is crucial but limited by insufficient training data.

Purpose Of The Study

  • To generate high-resolution (10-m) PMF distribution maps for the Chinese Loess Plateau from 2019-2021.
  • To overcome the challenge of limited training samples for large-scale PMF mapping.

Main Methods

  • Developed a novel approach combining automatic training sample generation and classifier transfer.
  • Generated the first 10-m resolution PMF maps for the Loess Plateau (PMF-LP dataset).

Main Results

  • Achieved high mapping accuracies with F1-scores between 0.80 and 0.86.
  • PMF-LP dataset showed strong agreement with agricultural census data (R² ≥ 0.87).

Conclusions

  • This study presents the first 10-m resolution PMF mapping on the Loess Plateau.
  • The generated PMF-LP dataset is valuable for environmental pollution assessments, yield forecasting, and greenhouse gas estimations.