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Remote Sensing Technology and Application  2020, Vol. 35 Issue (3): 548-557    DOI: 10.11873/j.issn.1004-0323.2020.3.0548
    
Remote Sensing Monitoring and Comparison of Urban Land Cover Changes in Typical Cities in China-Kazakhstan Arid Region based on Cloud Platform
Xin Chen1,2(),Wenhui Kuang1()
1.Key Laboratory of Land Surface Pattern And Simulation, Institute of Geographic Sciences And Natural Resources Research, Chinese Academy of Sciences, Beijing 100101
2.University of Chinese Academy of Sciences, Beijing 100049
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Abstract  

Urban land cover composition is the key factor affecting the living environment and urban ecosystem service. Based on the Google Earth Engine platform, Landsat 5/8 remote sensing image data were used to adopt the improved "Vegetation-Impervious Surface-Soil" model and linear spectral mixed decomposition method. The variation characteristics of land cover in Nur-Sudan, Almaty, Urumqi cities from 1990 to 2015 were compared and analyzed. The results show that the urban built-up area of Urumqi city expanded the largest area of the three cities from1990 to 2015, with an expansion of 349.81 km2, followed by Nur-Sultan, with a city expansion area of 158.16 km2. As the capital of Kazakhstan was relocated from Almaty to Nur-Sultan, the city of Almaty expanded the slowest during the entire period, with a total expansion of 126.23 km2. In the urban built-up area, the urban surface in Urumqi increased by 7.10% from 1990 to 2015, and the Nur-Sultan and Almaty decreased by 14.9% and 4.49%,respectively. The green space component of the built-up area, Nur-Sultan increased by 6.68% from 1990 to 2015, while Urumqi and Almaty decreased by 6.65% and 2.75%,respectively. The different surface cover patterns of cities are different for different reasons. Urumqi is mainly supported by national policies, and Almaty is known for its historical background and urban planning, while the rapid development of Nur-Sudan was affected by the relocation of Kazakhstan.

Key words:  Impervious surface      Green space      Urban Land Cover Change      Arid areas      Google Earth Engine     
Received:  16 September 2019      Published:  10 July 2020
ZTFLH:  TP79  
Corresponding Authors:  Wenhui Kuang     E-mail:  chenx.16s@igsnrr.ac.cn;kuangwh@igsnrr.ac.cn
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Xin Chen
Wenhui Kuang

Cite this article: 

Xin Chen,Wenhui Kuang. Remote Sensing Monitoring and Comparison of Urban Land Cover Changes in Typical Cities in China-Kazakhstan Arid Region based on Cloud Platform. Remote Sensing Technology and Application, 2020, 35(3): 548-557.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2020.3.0548     OR     http://www.rsta.ac.cn/EN/Y2020/V35/I3/548

Fig 1  Location of selected cities
城市国家坐标平均海拔 /m年降水量 /mm年均气温 /°C气候类型人口(万人)注1
1990年2015年
努尔–苏丹市哈萨克斯坦71°30'E,51°10'N34726.451.8温带大陆性气候28.3375.9
阿拉木图市76°55'E,43°19'N80054.468.5温带大陆性气候108.01152.26
乌鲁木齐市中国87°36'E,43°48'N80015.67中温带大陆性气候124.09349.86
Table1  City overview
城市数据类型获取时间行列号代表年份
乌鲁木齐市Landsat519890819143/0291990
Landsat520010507143/0292000
Landsat520090826142/0302010
Landsat820140831143/0292015
努尔–苏丹市Landsat519890604154/0241990
Landsat519980924155/0242000
Landsat520090618155/0242010
Landsat820140819155/0242015
阿拉木图市Landsat519900807149/0301990
Landsat519971029149/0302000
Landsat520100424149/0302010
Landsat820140901150/0302015
Table2  Data sources of Landsat images
Fig.2  Flow chart of urban land cover extraction
努尔–苏丹市阿拉木图市乌鲁木齐市
缓冲区个数/个最大缓冲区半径/km缓冲区个数/个最大缓冲区半径/km缓冲区个数/个最大缓冲区半径/km
19901512247.53919.5
2000241224124120.5
20102415.531125025
20152717.53513.55829
Table3  The number of buffers in the urban built-up areas
Fig.3  Accuracy verification of impervious surface area in different cities
Fig.4  Surface impervious composition map of different cities in different years
Fig.5  Urban land area in different years(km2
Fig. 6  Comparison of urban internal structural areas
Fig.7  Comparison of urban land cover fractions among different cities during 1990~2015
Fig.8  Urban impervious surface fraction at different distances from the center of cities
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