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Monitoring Recent Urban Expansion and Urban Subsidence of Beijing Using ENVISAT/ASAR Time Series Datasets

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Remote Sensing Time Series

Part of the book series: Remote Sensing and Digital Image Processing ((RDIP,volume 22))

Abstract

With worldwide economic development and population increases, urban areas create significant stresses on the local, regional and global environment. Information about the spatial and temporal dynamics of the characteristics of urban areas is therefore needed to support sustainable urban development. Time series earth observation data obtained using radar satellites have provided effective data sources for monitoring urban areas. This chapter first describes the development of synthetic aperture radar as well as its important role in the detection and monitoring of urban areas. Then, the fundamental principle of time series radar data in monitoring urban areas is introduced and discussed. Next, to demonstrate the capacity of time series SAR (Synthetic Aperture Radar) imagery for monitoring urban areas using ENVISAT/ASAR (Environmental Satellite /Advanced Synthetic Aperture Radar) time series radar data, Beijing city in China was selected as a test site. Beijing has all of the typical problems of a megacity such as resource, environment and population problems arising from rapid urban expansion during recent decades. A C5.0 rulesets classifier and the Multi Temporal Interferometric Synthetic Aperture Radar (MTInSAR) method were used to map the urban expansion and the millimeter level urban subsidence, respectively and the results were validated via high resolution WorldView optical datasets and leveling benchmark measurement, respectively. The results demonstrate the effectiveness and high accuracy of the time series radar data for monitoring urban areas. Furthermore, the spatial-temporal characteristic of urban expansion and urban subsidence of Beijing city were analyzed. Finally, the mechanisms or driving factors for urban expansion and subsidence are addressed based on economic development, population growth and the impacts of recent Beijing government policy.

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Acknowledgments

The work was supported by grants from National Natural Science Foundation of China (Grant No. 41120114001 and 41201357), Innovation Foundation Project of CEODE, CAS (Center for Earth Observation and Digital Earth, Chinese Academy of Sciences) (Grant No. Y2ZZ20101B), and “One-Three-Five” Strategic Planning of RADI (Institute of Remote Sensing and Digital Earth), CAS (Grant No. Y4SG0500CX).

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Authors and Affiliations

  1. Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, RADI, Chinese Academy of Sciences, CAS, Beijing, China

    Xinwu Li, Huadong Guo, Zhongchang Sun, Lu Zhang, Guozhuang Shen, Wenjin Wu, Lei Liang & Meng Wang

  2. National Earthquake Response Support Service, No. 1 Yuquan West Street, Shijingshan District, Beijing, 100049, China

    Huaining Yang & Shiyong Yan

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  1. Xinwu Li
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  2. Huadong Guo
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  3. Huaining Yang
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  4. Zhongchang Sun
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  7. Guozhuang Shen
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  10. Meng Wang
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Correspondence to Xinwu Li .

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Editors and Affiliations

  1. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

    Claudia Kuenzer

  2. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

    Stefan Dech

  3. Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria

    Wolfgang Wagner

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Li, X. et al. (2015). Monitoring Recent Urban Expansion and Urban Subsidence of Beijing Using ENVISAT/ASAR Time Series Datasets. In: Kuenzer, C., Dech, S., Wagner, W. (eds) Remote Sensing Time Series. Remote Sensing and Digital Image Processing, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-15967-6_19

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