Abstract
Over the past two and a half decades, urban growth has been a subject in numerous studies mostly through the use of remote sensing technology. Although many cities, large or small, have been targeted, Beijing as China ’s capital city has probably been more frequently researched than any other metropolises in the world. This chapter aims to examine some major advances in remote sensing -based urban growth studies with Beijing as the focus. For this purpose, we surveyed peer-reviewed English literature paying attention on some journal articles reporting the subject. Specifically, we examined the progress on several issues related to the research design and implementation, namely, spatial extent or temporal scale , data sources , and quantified dimensions . Based on the literature review, we further identified several major challenges and discussed some future research directions. We believe our longitudinal study focusing on major English literature examining the urbanization pattern in Beijing through remote sensing can not only help better research design but also assist formulating effective strategies and polices to deal with major challenges towards ecological sustainability in large metropolises.
Keywords
- Urban growth
- Remote sensing
- Beijing
- China
- Ecological sustainability
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References
Akiyama CM (2017) Beijing metropolitan area. In: Murayama et al (eds) Urban development in Asia and Africa. The urban book series. Springer, Singapore, pp 65–83
An K, Zhang J, Xiao Y (2007) Object-oriented urban dynamic monitoring—a case study of Haidian District of Beijing. Chin Geogr Sci 17(3):236–242
Bhatta B, Saraswati S, Bandyopadhyay D (2010) Urban sprawl measurement from remote sensing data. Appl Geogr 30(4):731–740
Brenner AR, Roessing L (2008) Radar imaging of urban areas by means of very high-resolution SAR and interferometric SAR. IEEE Trans Geosci Remote Sens 46(10):2971–2982
Cai J, Huang B, Song Y (2017) Using multi-source geospatial big data to identify the structure of polycentric cities. Remote Sens Environ 202:210–221
Chen J, Gong P, He C, Pu R, Shi P (2003) Land-use/land-cover change detection using improved change-vector analysis. Photogramm Eng Remote Sens 369–379
Dong J, Zhuang D, Xu X, Ying L (2008) Integrated evaluation of urban development suitability based on remote sensing and GIS techniques—a case study in JingJinJi area, China. Sensors 8(9):5975–5986
Dong Y, Forster B, Ticehurst C (1997) Radar backscatter analysis for urban environments. Int J Remote Sens 18(6):1351–1364
Franke J, Roberts DA, Halligan K, Menz G (2009) Hierarchical multiple endmember spectral mixture analysis (MESMA) of hyperspectral imagery for urban environments. Remote Sens Environ 113(8):1712–1723
Galster G, Hanson R, Ratcliffe MR, Wolman H, Coleman S, Freihage J (2001) Wrestling sprawl to the ground: defining and measuring an elusive concept. Hous Policy Debate 12(4):681–717
Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Science 319(5864):756–760
Guo X, Fu D, Wang J (2006) Mesoscale convective precipitation system modified by urbanization in Beijing City. Atmos Res 82(1):112–126
Hu D, Chen S, Qiao K, Cao S (2017) Integrating CART algorithm and multi-source remote sensing data to estimate sub-pixel impervious surface coverage: a case study from Beijing Municipality, China. Chin Geogr Sci 27(4):614–625
Huang W, Liu H, Luan Q, Jiang Q, Liu J, Liu H (2008) Detection and prediction of land use change in Beijing based on Remote Sensing and GIS. In: The International archives of the photogrammetry, remote sensing and spatial information sciences, vol XXXVII. Part B6b. Beijing 2008
Jabareen YR (2006) Sustainable urban forms: their typologies, models, and concepts. J Plan Educ Res 26(1):38–52
Jia K, Liang S, Zhang N, Wei X, Gu X, Zhao X, Yao Y, Xie X (2014) Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data. ISPRS J Photogramm Remote Sens 93:49–55
Li P, Jiang S, Wang X, Zhang J (2013a) Building extraction using LiDAR data and very high resolution image over complex urban area. In: 2013 IEEE international geoscience and remote sensing symposium—IGARSS, Melbourne, VIC, Australia, 21–26 July 2013
Li X, Zhou W, Ouyang Z (2013b) Forty years of urban expansion in Beijing: what is the relative importance of physical, socioeconomic, and neighborhood factors? Appl Geogr 38:1–10
Li X, Gong P, Liang L (2015) A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data. Remote Sens Environ 166:78–90
Li X, Wu T, Liu K, Li Y, Zhang L (2016) Evaluation of the Chinese fine spatial resolution hyperspectral satellite TianGong-1 in urban land-cover classification. Remote Sens 8(5):438
Li X, Zhou W, Ouyang Z, Xu W, Zheng H (2012) Spatial pattern of greenspace affects land surface temperature: evidence from the heavily urbanized Beijing metropolitan area, China. Landsc Ecol 27(6):887–898
Liu Z, He C, Wu J (2016) General spatiotemporal patterns of urbanization: an examination of 16 world cities. Sustainability (Switzerland) 8(1):1–15
Liu H, Zhou Q (2004) Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison. Int J Remote Sens 25(5):1037–1050
Myint SW (2006) Urban vegetation mapping using sub-pixel analysis and expert system rules: a critical approach. Int J Remote Sens 27(13):2645–2665
Priestnall G, Jaafar J, Duncan A (2000) Extracting urban features from LiDAR digital surface models. Comput Environ Urban Syst 24(2):65–78
Powell RL (2011) Characterizing urban subpixel composition using spectral mixture analysis. In: Yang X (ed) Urban remote sensing: monitoring, synthesis and modelling in the urban environment. Wiley, Chichester, UK, pp 111–128
Rottensteiner F (2010) Automation of object extraction from LiDAR in urban areas. In: 2010 IEEE international geoscience and remote sensing symposium—IGARSS, Honolulu, HI, USA, 25–30 July 2010
Seto KC, Fragkias M, Güneralp B, Reilly MK (2011) A meta-analysis of global urban land expansion. PLoS ONE 6(8):e23777
Shao M, Tang X, Zhang Y, Li W (2006) City clusters in China: air and surface water pollution. Front Ecol Environ 4(7):353–361
Song W, Pijanowski BC, Tayyebi A (2015) Urban expansion and its consumption of high-quality farmland in Beijing, China. Ecol Ind 54:60–70
Song X, Zhang J, AghaKouchak A, Roy SS, Xuan Y, Wang G, He R, Wang X, Liu C (2014) Rapid urbanization and changes in spatiotemporal characteristics of precipitation in Beijing metropolitan area. J Geophys Res Atmos 119(19):11250–11271
Sun Y, Zhao S (2018) Spatiotemporal dynamics of urban expansion in 13 cities across the Jing-Jin-Ji urban agglomeration from 1978 to 2015. Ecol Ind 87:302–313
Tan M, Li X, Xie H, Lu C (2005) Urban land expansion and arable land loss in China—a case study of Beijing–Tianjin–Hebei region. Land Use Policy 22(3):187–196
The World Bank (2018) http://databank.worldbank.org/data/home.aspx. Accessed 17 Feb 2018
Tian Y, Yin K, Lu D, Hua L, Zhao Q, Wen M (2014) Examining land use and land cover spatiotemporal change and driving forces in Beijing from 1978 to 2010. Remote Sens 6(11):10593–10611
Turner MG, Gardner RH (2015) Landscape ecology in theory and practice, 2nd edn. Springer, New York
Turner MG, O’Neill RV, Gardner RH, Milne BT (1989) Effects of changing spatial scale on the analysis of landscape pattern. Landsc Ecol 3(3–4):153–162
Wang D, Abdelzaher T, Kaplan L (2015) Social sensing: building reliable systems on unreliable data. Morgan Kaufmann, San Francisco, CA
Wen H, Sun J, Zhang X (2014) Study on traffic congestion patterns of large city in China taking Beijing as an example. Procedia—Social Behav Sci 138:482–491
Wu Q, Li HQ, Wang RS, Paulussen J, He Y, Wang M, B-H Wang, Wang Z (2006) Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landsc Urban Plan 78(4):322–333
Wu W, Zhao S, Zhu C, Jiang J (2015) A comparative study of urban expansion in Beijing, Tianjin and Shijiazhuang over the past three decades. Landsc Urban Plan 134:93–106
Xie Y, Fang C, Lin GCS, Gong H, Qiao B (2007) Tempo-spatial patterns of land use changes and urban development in globalizing China: a study of Beijing. Sensors (Basel, Switzerland) 7(11):2881–2906
Xu M, He C, Liu Z, Dou Y (2016) How did urban land expand in China between 1992 and 2015? a multi-scale landscape analysis. PLoS ONE 11(5):e0154839
Xue J, Zhong W (2003) Unemployment, poverty and income disparity in urban China. Asian Econ J 17(4):383–405
Yang Y, Ma M, Tan C, Li W (2017) Spatial recognition of the urban-rural fringe of Beijing using DMSP/OLS nighttime light data. Remote Sens 9(11):1141
Yin W, Yang J (2017) Sub-pixel vs. super-pixel-based greenspace mapping along the urban–rural gradient using high spatial resolution Gaofen-2 satellite imagery: a case study of Haidian District, Beijing, China. Int J Remote Sens 38(22):6386–6406
Yu W, Zhou W (2017) The spatiotemporal pattern of urban expansion in China: a comparison study of three urban megaregions. Remote Sens 9(1):45
Yu W, Zhou W, Qian Y, Yan J (2016) A new approach for land cover classification and change analysis: integrating backdating and an object-based method. Remote Sens Environ 177:37–47
Zhang Q, Wang J, Peng X, Gong P, Shi P (2002) Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. Int J Remote Sens 23(15):3057–3078
Zhang Y, Li Q, Huang H, Wu W, Du X, Wang H (2017) The combined use of remote sensing and social sensing data in fine-grained urban land use mapping: a case study in Beijing, China. Remote Sens 9(9):865
Zhang Z, Li N, Wang X, Liu F, Yang L (2016) A comparative study of urban expansion in Beijing, Tianjin and Tangshan from the 1970s to 2013. Remote Sens 8(6):496
Zheng Z, Zhou W, Wang J, Hu X, Qian Y (2017) Sixty-year changes in residential landscapes in Beijing: a perspective from both the horizontal (2d) and vertical (3d) dimensions. Remote Sens 9(10):992
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Liu, T., Yang, X. (2019). Monitoring Urban Growth and Land Changes in Beijing, China’s Capital City by Remote Sensing: Progress and Challenges. In: Yang, X., Jiang, S. (eds) Challenges Towards Ecological Sustainability in China. JFGES 2017. Springer, Cham. https://doi.org/10.1007/978-3-030-03484-9_4
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