remote sensing Article Spatiotemporal Continuous Impervious Surface Mapping by Fusion of Landsat Time Series Data and Google Earth Imagery Rui Chen 1,2, Xiaodong Li 1,* , Yihang Zhang 1, Pu Zhou 1,2, Yalan Wang 1,2, Lingfei Shi 3 , Lai Jiang 4, Feng Ling 1 and Yun Du 1 1 Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China;
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[email protected]; Tel./Fax: +86-27-6888-1075 Abstract: The monitoring of impervious surfaces in urban areas using remote sensing with fine spatial and temporal resolutions is crucial for monitoring urban development and environmental changes in urban areas. Spatiotemporal super-resolution mapping (STSRM) fuses fine-spatial-coarse- temporal remote sensing data with coarse-spatial-fine-temporal data, allowing for urban impervious surface mapping at both fine-spatial and fine-temporal resolutions. The STSRM involves two main steps: unmixing the coarse-spatial-fine-temporal remote sensing data to class fraction images, and Citation: Chen, R.; Li, X.; Zhang, Y.; downscaling the fraction images to sub-pixel land cover maps.