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<p>We present the China Impervious Surface Cover dataset for 2020 and 2022 (CISC2020, CISC2022) at 30-meter spatial resolution. The dataset covers mainland China and adjacent regions where input 2-meter satellite imagery was available. Generation involved a regionally adaptive deep learning strategy integrating high-resolution (2 m) imagery, Landsat annual composites, and SRTM elevation data. High-quality training and validation samples were produced using entropy-guided stratified sampling and subsequent expert visual interpretation. The dataset is provided as Cloud Optimized GeoTIFFs (COG) using an Albers projection. Accuracy assessment using independent, expert-interpreted validation points confirms high overall accuracy (Spatially Averaged F1-score &gt; 0.93 for the impervious surface class). This dataset offers reliable, spatially explicit impervious surface information for China, suitable for applications including urban dynamics analysis, environmental monitoring, and regional planning.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月24日

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  • Ranyu Yin,
  • Guojin He,
  • Guizhou Wang,
  • Kaiyuan Zheng,
  • Chengjuan Gong,
  • Tengfei Long,
  • Qing Guo

摘要

We present the China Impervious Surface Cover dataset for 2020 and 2022 (CISC2020, CISC2022) at 30-meter spatial resolution. The dataset covers mainland China and adjacent regions where input 2-meter satellite imagery was available. Generation involved a regionally adaptive deep learning strategy integrating high-resolution (2 m) imagery, Landsat annual composites, and SRTM elevation data. High-quality training and validation samples were produced using entropy-guided stratified sampling and subsequent expert visual interpretation. The dataset is provided as Cloud Optimized GeoTIFFs (COG) using an Albers projection. Accuracy assessment using independent, expert-interpreted validation points confirms high overall accuracy (Spatially Averaged F1-score > 0.93 for the impervious surface class). This dataset offers reliable, spatially explicit impervious surface information for China, suitable for applications including urban dynamics analysis, environmental monitoring, and regional planning.