Abstract
In recent years, with rapid expansion of cities, natural ecological landscapes centering on green environments such as vegetation have been gradually replaced by impervious buildings. Consequently, a severe influence that cannot be ignored has been imposed on the whole ecological environment. In this paper, the main urban area of Nantong of China is used as a study area. Landsat 8 satellite remote-sensing images are used as a data source and linear spectral unmixing method is utilized to extract impervious surface information of the city and to study the distribution conditions of impervious surface percentage (ISP). The experimental analysis indicates the closer to the commercial area and highly intensive residential area, the bigger the ISP will become.
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Duan, P., Li, J., Lu, X., Feng, C. (2020). Estimation of Impervious Surface Distribution by Linear Spectral Mixture Analysis: A Case Study in Nantong, China. In: Lu, H., Yujie, L. (eds) 2nd EAI International Conference on Robotic Sensor Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-17763-8_5
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DOI: https://doi.org/10.1007/978-3-030-17763-8_5
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