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Enhanced 30 m Impervious Surfaces for China (2020, 2022) via 2 m/30 m Data Fusion
Ranyu Yin1, Guojin He2,3,4, Guizhou Wang1,5,6
1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Abstract:
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.
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