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Enhanced 30 m Impervious Surfaces for China (2020, 2022) via 2 m/30 m Data Fusion.

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We created the China Impervious Surface Cover (CISC) datasets for 2020 and 2022, offering 30-meter resolution impervious surface data for China. This valuable resource supports urban analysis and environmental monitoring.

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Area of Science:

  • Earth Observation
  • Geospatial Science
  • Environmental Science

Background:

  • Impervious surfaces are critical indicators of urbanization and environmental change.
  • Accurate, high-resolution data on impervious surfaces are essential for urban planning and environmental monitoring.
  • Existing datasets may lack the spatial resolution or temporal coverage required for detailed analysis in China.

Purpose of the Study:

  • To generate and release the China Impervious Surface Cover (CISC) datasets for 2020 and 2022.
  • To provide reliable, spatially explicit impervious surface information at 30-meter resolution for mainland China and adjacent areas.
  • To support diverse applications such as urban dynamics analysis, environmental monitoring, and regional planning.

Main Methods:

  • A regionally adaptive deep learning strategy was employed.
  • Integration of high-resolution (2m) satellite imagery, Landsat annual composites, and SRTM elevation data.
  • Generation of high-quality training and validation samples using entropy-guided stratified sampling and expert visual interpretation.

Main Results:

  • The China Impervious Surface Cover datasets (CISC2020, CISC2022) were successfully generated at 30-meter spatial resolution.
  • Accuracy assessment confirmed high overall accuracy, with a Spatially Averaged F1-score > 0.93 for the impervious surface class.
  • The datasets are provided as Cloud Optimized GeoTIFFs (COG) in an Albers projection.

Conclusions:

  • The CISC datasets offer a reliable and spatially explicit source of impervious surface information for China.
  • This data is suitable for detailed analysis of urban expansion and its environmental impacts.
  • The datasets will advance research and practical applications in urban and environmental studies across China.