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- W3004920803 endingPage "491" @default.
- W3004920803 startingPage "491" @default.
- W3004920803 abstract "As the largest developing country, China has experienced dramatic urban expansion since the “reform and opening-up” policy started at the end of the 1970s. In this paper, we monitor three decades of urban expansion in China’s 36 major cities, based on the spectral mixture analysis of remotely sensed satellite images. The results demonstrated that these major cities have expanded by 5.85 times from 1986 to 2015, with 15.51 km2 average expansion area per city per year. We found the urban expansion trajectories showed three different modes, i.e., exponential, linear and s-shaped, which were closely related to the city development level. In the old city zones, however, there was an interesting common tendency of the impervious surface area (ISA) first increasing and then decreasing, which could be largely attributed to the phenomenon of urban village reconstruction in China’s cities. Based on the Granger Causality Test (GCT), the interaction between urban ISA and Gross Domestic Product (GDP) per capita (GDPPC) suggested that the former was the driver of the latter. Meanwhile, taking the Yangtze River as the division between north and south China, there exists a north–south territorial differentiation for the interaction between ISA and total population at the year-end (TP)." @default.
- W3004920803 created "2020-02-14" @default.
- W3004920803 creator A5002432204 @default.
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- W3004920803 creator A5061341056 @default.
- W3004920803 creator A5066135984 @default.
- W3004920803 creator A5087539183 @default.
- W3004920803 date "2020-02-04" @default.
- W3004920803 modified "2023-10-12" @default.
- W3004920803 title "Monitoring Three-Decade Expansion of China’s Major Cities Based on Satellite Remote Sensing Images" @default.
- W3004920803 cites W1213971010 @default.
- W3004920803 cites W1546965551 @default.
- W3004920803 cites W1655403841 @default.
- W3004920803 cites W1781101400 @default.
- W3004920803 cites W1886448857 @default.
- W3004920803 cites W1964671817 @default.
- W3004920803 cites W1964839977 @default.
- W3004920803 cites W1968214551 @default.
- W3004920803 cites W1969450091 @default.
- W3004920803 cites W1971792518 @default.
- W3004920803 cites W1975050530 @default.
- W3004920803 cites W1976312685 @default.
- W3004920803 cites W1978145340 @default.
- W3004920803 cites W1979136858 @default.
- W3004920803 cites W1979261208 @default.
- W3004920803 cites W1979789940 @default.
- W3004920803 cites W1980272327 @default.
- W3004920803 cites W1981939599 @default.
- W3004920803 cites W1984110224 @default.
- W3004920803 cites W1986261119 @default.
- W3004920803 cites W2001075407 @default.
- W3004920803 cites W2004056710 @default.
- W3004920803 cites W2004126227 @default.
- W3004920803 cites W2004805686 @default.
- W3004920803 cites W2006296944 @default.
- W3004920803 cites W2006929658 @default.
- W3004920803 cites W2010797227 @default.
- W3004920803 cites W2017036757 @default.
- W3004920803 cites W2019504071 @default.
- W3004920803 cites W2026332487 @default.
- W3004920803 cites W2029615838 @default.
- W3004920803 cites W2031841848 @default.
- W3004920803 cites W2032109089 @default.
- W3004920803 cites W2032445183 @default.
- W3004920803 cites W2034906331 @default.
- W3004920803 cites W2046092712 @default.
- W3004920803 cites W2048286556 @default.
- W3004920803 cites W2049357609 @default.
- W3004920803 cites W2051923426 @default.
- W3004920803 cites W2054116204 @default.
- W3004920803 cites W2055616671 @default.
- W3004920803 cites W2055948301 @default.
- W3004920803 cites W2058963764 @default.
- W3004920803 cites W2066131315 @default.
- W3004920803 cites W2073244501 @default.
- W3004920803 cites W2077509829 @default.
- W3004920803 cites W2090976648 @default.
- W3004920803 cites W2097467169 @default.
- W3004920803 cites W2102182928 @default.
- W3004920803 cites W2102566458 @default.
- W3004920803 cites W2107708994 @default.
- W3004920803 cites W2110940063 @default.
- W3004920803 cites W2119166951 @default.
- W3004920803 cites W2119791794 @default.
- W3004920803 cites W2120025875 @default.
- W3004920803 cites W2126860303 @default.
- W3004920803 cites W2130811469 @default.
- W3004920803 cites W2137043027 @default.
- W3004920803 cites W2140823859 @default.
- W3004920803 cites W2140864390 @default.
- W3004920803 cites W2141409967 @default.
- W3004920803 cites W2148427179 @default.
- W3004920803 cites W2152631857 @default.
- W3004920803 cites W2156066376 @default.
- W3004920803 cites W2157666883 @default.
- W3004920803 cites W2162063693 @default.
- W3004920803 cites W2167683496 @default.
- W3004920803 cites W2168000908 @default.
- W3004920803 cites W2176393473 @default.
- W3004920803 cites W2178225550 @default.
- W3004920803 cites W2199807383 @default.
- W3004920803 cites W2271454331 @default.
- W3004920803 cites W2326171648 @default.
- W3004920803 cites W2396434625 @default.
- W3004920803 cites W243162081 @default.
- W3004920803 cites W2462332352 @default.
- W3004920803 cites W2564747588 @default.
- W3004920803 cites W2606274892 @default.
- W3004920803 cites W2621930713 @default.
- W3004920803 cites W2767068305 @default.
- W3004920803 cites W2780483148 @default.
- W3004920803 cites W2793062991 @default.
- W3004920803 cites W2793327769 @default.
- W3004920803 cites W2805013051 @default.
- W3004920803 cites W2807609896 @default.
- W3004920803 cites W3124110211 @default.
- W3004920803 doi "https://doi.org/10.3390/rs12030491" @default.
- W3004920803 hasPublicationYear "2020" @default.