Reconstructing Urban Expansion and Analyzing Land Cover Change of Xining and Lhasa in the Past 70 Years based on Multi-source Spatiotemporal Information

doi:10.11873/j.issn.1004-0323.2022.2.0342

Remote Sensing Technology and Application

2022, Vol. 37

Issue (2): 342-353 DOI: 10.11873/j.issn.1004-0323.2022.2.0342

Reconstructing Urban Expansion and Analyzing Land Cover Change of Xining and Lhasa in the Past 70 Years based on Multi-source Spatiotemporal Information

Changqing Guo¹(

),Xuexia Zhang¹,Yali Hou^2,³,Wenhui Kuang²(

)

^1.Key Laboratory of State Forestry Administration of Soil and Water Conservation，School of Soil and Water Conservation，Beijing Forestry University，Beijing 100083，China
^2.Key Laboratory of Land Surface Pattern and Simulation，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China
^3.University of Chinese Academy of Sciences，Beijing 100049，China

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Abstract

The cities of Xining and Lhasa are hot spots of human activities on the Qinghai-Tibet Plateau， and their development process has an important impact on the socio-economic development of the Qinghai-Tibet Plateau. This paper reconstructed urban expansion in Xining and Lhasa cities based on remote sensing images， urban planning maps and historical maps in circa 1949， circa 1978， 1990， 2000， 2010 and 2018， and urban impervious surface and green space component information since 2000. We analyzed the temporal and spatial characteristics of urban expansion in built-up area of Xining and Lhasa since circa 1949， and revealed the characteristics of the impact of socioeconomic factors and policy factors on urban land use/cover changes. The results show that：（1） Since the founding of the People's Republic of China， built-up area of Xining and Lhasa has continued to expand， showing a non-linear growth trend. The urban land area has increased from 1.98 km² and 1.10 km² in circa 1949 to 79.26 km² and 77.04 km² in 2018. The urban expansion of Xining’s built-up area presents a cross-shaped expansion trend， and Lhasa presents a circle-extensive expansion mode；（2） Since 2000， the urban greening level of Xining and Lhasa has improved significantly. From 2000 to 2018， the urban impervious surface area of Xining and Lhasa increased from 36.91 km² and 21.56 km² to 55.34 km² and 48.21 km²， and the urban green space area increased from 10.78 km² and 8.48 km² to 19.21 km² and 20.35 km²， and the average annual expansion rates were 0.47 km²/a and 0.66 km²/a. The percentage of impervious surface in the built-up area has dropped from 74.09% and 66.21% to 69.82% and 62.58%， and the proportion of urban green space has increased from 21.64% and 26.05% to 24.24% and 26.41%；（3） Xining and Lhasa's urban population growth， economic development and relevant national policies are closely related with the urban expansion of the main urban area and its land use/cover changes. The urban expansion stage of the built-up area is related with the population growth， economic development stage and the implementation time of relevant national policies. Land use/cover change in built-up area is highly related with urban planning-related policies， especially landscaping construction， which has significantly increased the area of urban green space， and the proportion of urban green space has increased significantly compared with 2000.

Key words: Urban expansion Urban land use/cover change Impervious surface Remote sensing monitoring

Received: 09 November 2020 Published: 17 June 2022

ZTFLH:

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Corresponding Authors: Wenhui Kuang E-mail: cqguo0574@163.com;kuangwh@igsnrr.ac.cn

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Cite this article:

Changqing Guo,Xuexia Zhang,Yali Hou,Wenhui Kuang. Reconstructing Urban Expansion and Analyzing Land Cover Change of Xining and Lhasa in the Past 70 Years based on Multi-source Spatiotemporal Information. Remote Sensing Technology and Application, 2022, 37(2): 342-353.

URL:

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2022.2.0342 OR http://www.rsta.ac.cn/EN/Y2022/V37/I2/342

Fig.1 Remote sensing images of Xining and Lhasa

Table 1 Main data sources

Fig 2 The technological route of this study

Table 2 The current status of urban land area in Xining and Lhasa in the past 70 years

Table 3 Urban land expansion in Xining and Lhasa in the past 70 years

Fig 3 Urban expansion and urban land area changes in Xining and Lhasa in the past 70 years

Table 4 Urban land cover area and proportion of Xining and Lhasa from 2000 to 2018

Fig 4 Urban land cover changes in Xining and Lhasa from 2000 to 2018

Fig 5 Changes in population， urbanization level and GDP of Xining and Lhasa

Fig 6 Changes in the area and per capita area of urban parks green space in Xining and Lhasa

1	Nations U. World urbanization prospects： The 2018 revision［M］. New York， NY， USA：United Nations Population Division， 2018.
2	Liu J Y， Kuang W H， Zhang Z X， et al. Spatiotemporal characteristics， patterns， and causes of land-use changes in China since the late 1980s［J］. Journal of Geographical Sciences， 2014， 24（2）： 195-210. DOI： . doi: 10.1007/s11442-014-1082-6
3	Kuang Wen Hui， Zhang Shuwen， Zhang Yangzhen， et al. Spatial structure developing process of urban land use of Changchun City in China in a history of 100 years［J］. Journal of Harbin Institute of Technology， 2009， 41（7）： 176-179.
3	匡文慧，张树文，张养贞，等. 长春百年城市土地利用空间结构演变特征研究［J］. 哈尔滨工业大学学报， 2009， 41（7）： 176-179.
4	Kuang W H. 70 years of urban expansion across China： trajectory， pattern， and national policies［J］. Science Bulletin， 2020， 65（23）：1970-1974. DOI： . doi: 10.1016/j.scib.2020.07.005
5	Chi W F， Shi W J， Kuang W H. Spatio-temporal characteristics of intra-urban land cover in the cities of China and USA from 1978 to 2010［J］.Journal of Geographical Sciences，2014， 25（1）： 3-18. DOI： . doi: 10.1007/s11442-015-1149-z
6	Kuang Wenhui. Issues regarding on spatial pattern change of national land space and its overall implementation on beautiful vision in new era［J］. Resources Science，2019， 41 （1）： 23-32.
6	匡文慧. 新时代国土空间格局变化和美丽愿景规划实施的若干问题探讨［J］. 资源科学， 2019， 41（1）： 23-32.
7	Li Zhili， Kuang Wenhui， Zhao Dandan. Coupled mechanism of population urbanization and land use in Beijing-Tianjin-Hebei urban agglomeration areas［J］. Economic Geography， 2020， 40（8）： 67-75.
7	李智礼，匡文慧，赵丹丹. 京津冀城市群人口城镇化与土地利用耦合机理［J］. 经济地理， 2020， 40（8）： 67-75.
8	Meyfroidt P， de Bremond A， Ryan C M， et al. Ten facts about land systems for sustainability［J］. Proceedings of the National Academy of Sciences， 2022， 119（7）： e2109217118. DOI： . doi: 10.1073/pnas.2109217118
9	Wang L， Li C C， Ying Q， et al. China's urban expansion from 1990 to 2010 determined with satellite remote sensing［J］. Chinese Science Bulletin， 2012， 57（22）： 2802-2812. DOI： . doi: 10.1007/s1434-012-5235-7
10	Gao Jinlong， Chen Jianglong， Su Xi. Urban expansion and its driving mechanism in China： From three main shools' perspectives［J］. Progress In Geography，2013，32（5）：743-754.
10	高金龙，陈江龙，苏曦.中国城市扩张态势与驱动机理研究学派综述［J］. 地理科学进展，2013，32（5）：743-754.
11	Li Zhili， Kuang Wenhui， Zhang Shu. Remote sensing monitoring and spatiotemporal pattern of land use/cover change in built-up area of Tianjin in the Past 70 years［J］. Remote Sensing Technology and Application，2020，35（3）：527-536.
11	李智礼，匡文慧，张澍. 近70 a天津主城区城市土地利用/覆盖变化遥感监测与时空分析［J］. 遥感技术与应用，2020，35（3）： 527-536.
12	Yin Z R， Kuang W H， Bao Y H， et al. Evaluating the dynamic changes of urban land and its fractional covers in Africa from 2000-2020 using time series of remotely sensed images on the big data platform［J］. Remote Sensing， 2021， 13（21）： 4288. DOI： . doi: 10.3390/rs13214288
13	Kantakumar L N， Kumar S， Schneider K. Spatiotemporal urban expansion in pune metropolis， India using remote sensing［J］.Habitat International， 2016， 51： 11-22. DOI： . doi: 0.1016/j.habitatint.2015.10.007
14	Zhang Yunyu. Spatial and temporal characteristics of urban expansion in Lhasa［J］. Theoretical Research in Urban Construction，2017（22）： 64-66.
14	张芸毓. 拉萨市城市扩展时空特征分析［J］. 城市建设理论研究，2017（22）：64-66.
15	Zhang Kai， Xue Liang. Study on urban expansion in Shaanxi Province from 2000 to 2015 based on multi-source remote sensing data［J］ .Remote Sensing Technology and Application， 2018， 33（6）： 1170-1177.
15	张锴，薛亮. 基于多源遥感数据的陕西2000~2015年城市扩展研究［J］. 遥感技术与应用， 2018， 33（6）： 1170-1177.
16	Wang Xinsheng， Liu Jiyuan， Zhuang Dafang， et al. Spatial-temporal changes of urban spatial morphology in China［J］. Acta Geographica Sinica， 2005， 60（3）： 392-400.
16	王新生，刘纪远，庄大方，等. 中国特大城市空间形态变化的时空特征［J］.地理学报，2005， 60（3）： 392-400.
17	Chen Qiong， Zhou Qiang， Liang Shengfu， et al. An anaysis of land use pattern change of Xining city based on GIS［J］. Economic Geography， 2010， 30（2）： 244-248.
17	陈琼，周强，梁生甫，等. 西宁市主城区城市土地利用格局变化分析［J］. 经济地理， 2010， 30（2）： 244-248.
18	Huang J N， Lu X X， Sellers J M. A global comparative analysis of urban form： Applying spatial metrics and remote sensing［J］.Landscape and Urban Planning， 2007， 82（4）： 184-197. DOI： . doi: 10.1016/j.landurbplan.2007.02.010
19	Gao Linghan， Zhao Pengxiang， Zhang Xiaoli， et al. Analysis on driving forces of spatiotemporal changes of land uses in Xining City［J］. Research of Soil and Water Conservation， 2017， 24（2）： 234-239.
19	高凌寒，赵鹏祥，张晓莉，等.西宁市主城区土地利用时空变化驱动力分析［J］. 水土保持研究， 2017， 24 （2）： 234-239.
20	Gao Ning， Gai Yingchun， Song Xiaoyu. Study of urban expansion and driving factors in Xi'an City based on nighttime light data［J］. Remote Sensing Technology and Application， 2019， 34（1）： 207-215.
20	高宁，盖迎春，宋晓谕. 基于夜间灯光数据的西安市城市扩张及驱动因素研究［J］. 遥感技术与应用， 2019， 34（1）： 207-215.
21	Wu R， Li Z G， Wang S J. The varying driving forces of urban land expansion in China： Insights from a spatial-temporal analysis［J］.Science of The Total Environment，2021，766：142591. DOI： . doi: 10.1016/j.scitotenv.2020.142591
22	Kuang W H， Zhang S， Li X Y， et al. A 30-meter resolution dataset of China’s urban impervious surface area and green space fractions， 2000-2018［J］. Earth System Science Data， 2021， 13（1）： 63-82. DOI： . doi: 10.5194/essd-13-63-2021
23	Kuang W H， Hou Y L， Dou Y Y， et al. Mapping global urban impervious surface and green space fractions using Google Earth Engine［J］. Remote Sensing，2021，13（20）：4187. DOI： . doi: 10.3390/rs13204187
24	Zhang Yili， Li Bingyuan， Liu Linshan， et al. Redetermine the region and boundaries of Tibetan Plateau［J］. Geographical Research，2021，40（6）：1543-1553.
24	张镱锂，李炳元，刘林山，等. 再论青藏高原范围［J］. 地理研究， 2021， 40（6）： 1543-1553.
25	Ning J， Liu J Y， Kuang W H， et al. Spatiotemporal patterns and characteristics of land-use change in China during 2010-2015［J］. Journal of Geographical Sciences， 2018， 28（5）： 547-562. DOI： . doi: 10.1007/s11442-018-1490-0
26	Kuang W H， Du G M， Lu D S， et al. Global observation of urban expansion and land-cover dynamics using satellite big-data［J］. Science Bulletin， 2021， 66（4）： 297-300. DOI： . doi: 10.1016/j.scib.2020.10.022
27	Kuang Wenhui. Digital reconstruction， analysis and simulation of urban land use spatio-temporal information［M］. Beijing： Science Press， 2012.匡文慧. 城市土地利用时空信息数字重建、分析与模拟［M］. 北京：科学出版社， 2012.
28	Chen Xin， Kuang Wenhui. Remote sensing monitoring and comparison of urban land cover changes in typical cities in China-Kazakhstan arid region based on cloud platform［J］. Remote Sensing Technology and Application，2020， 35（3）： 548-557.
28	陈馨，匡文慧. 基于云平台的中哈干旱区典型城市地表覆盖变化遥感监测与比较［J］. 遥感技术与应用， 2020， 35（3）： 548-557.
29	Kuang W H， Yan F Q. Urban structural evolution over a century in Changchun City， Northeast China ［J］.Journal of Geographical Sciences， 2018， 28（12）： 1877-1895. DOI： . doi: 0.1007/s11442-018-1569-7
30	Kuang W H. National urban land-use/cover change since the beginning of the 21^st century and its policy implications in China［J］. Land Use Policy， 2020， 97： 104747. DOI： . doi: 10.1016/j.landusepol.2020.104747
31	Wu C Y， Huang X J， Chen B W. Telecoupling mechanism of urban land expansion based on transportation accessibility： A case study of transitional Yangtze River economic belt， China［J］.Land Use Policy， 2020， 96： 104687. DOI： . doi: 10.1016/j.landusepol.2020.104687
32	He Minghua， Liu Fenggui， Tang Zhongxia， et al. Research on the intensive use of urban land in Xining City［J］. Journal of Arid Land Resources and Environment， 2014， 28（3）： 44-49.
32	何明花，刘峰贵，唐仲霞，等. 西宁市城市土地集约利用研究［J］. 干旱区资源与环境， 2014， 28（3）： 44-49.
33	Li Xiaoning， Man Yanyun. Analysis of land intensive use in the Beijing-Tianjin-Hebei urban agglomeration［J］. Commercial Times，2014（26）：131-134.
33	李晓宁，满燕云.京津冀城市群土地集约利用分析［J］.商业时代，2014（26）：131-134.
34	Liu Zhiqiang， Xing Linlin. Research on the spatial distribution and variation characteristics of urban green level in China［J］. Northern Horticulture，2016（6）：74-79.
34	刘志强，邢琳琳. 我国城市绿地水平空间分布及变化特征研究［J］.北方园艺， 2016（6）： 74-79.
35	Li Fengtong， Zhu Chunlai. Study on the gardens city construction in Xining［J］. Journal of Hebei Agricultural Sciences， 2009，13（11）：84-85，153.
35	李凤桐，朱春来. 西宁市园林城市建设研究［J］. 河北农业科学，2009，13（11）：84-85，153.
36	Zhang Zengxiang. Remote sensing detection of urban expansion in China［M］. Beijing： Star Map Press， 2006.
36	张增祥. 中国城市扩展遥感检测［M］. 北京：星球地图出版社， 2006.
37	Ren Dezhi， Zhou Xin， Guo Qiqiang， et al. Urban greening status and countermeasures in Lhasa ［J］. Beijing Agriculture， 2014（15）： 254-256.
37	任德智，周鑫，郭其强，等. 拉萨城市绿化现状及对策［J］. 北京农业， 2014（15）：254-256.

[1]	XU Peng-jie,DENG Lei. Application of Remote Sensing in the Field of Disaster Reduction and Response[J]. Remote Sensing Technology and Application, 2011, 26(4): 512 -519 .
[2]	Li Na,Yan Dongmei,Zhang Li. Analysis of the Evolution of Land Use in Tianjin Binhai New Area and Caofeidian Region[J]. Remote Sensing Technology and Application, 2012, 27(2): 289 -295 .
[3]	XIE Rui, X IAO Hai-hong, HUANG Jin-liang. Remote Sensing Monitoring and Analysis of Land Use/cover Change in Xingshan County[J]. Remote Sensing Technology and Application, 2006, 21(5): 414 -419 .
[4]	CHEN Ding-gui, ZHOU De-min, LU Xian-guo, WANG Run-hua. A Study on Classification of Wetland Communities in Honghe National Nature Reserve by Remote Sensing[J]. Remote Sensing Technology and Application, 2007, 22(4): 485 -491 .
[5]	. [J]. Remote Sensing Technology and Application, 1989, 4(2): 39 -43 .
[6]	ZHOU De-min, GONG Hui-li, HU Jin-ming, WU Feng-lin. Application of Satellite Remote Sensing Technology to Wetland Research[J]. Remote Sensing Technology and Application, 2006, 21(6): 577 -583 .
[7]	Xue Dongjian,Zhang Donghui,He Zhengwei,Zhang Xuefeng. Application of Multi\\|source Remote Sensing Image Fusion in Geohazard Investigation[J]. Remote Sensing Technology and Application, 2011, 26(5): 664 -669 .
[8]	FAN Yan-guo, ZHANG Lei, SUN Yuan-fang, WU Teng-teng, ZHU Hao. The Research of Land Use Classification Monitoring of Yellow River Delta Region Using RS[J]. Remote Sensing Technology and Application, 2010, 25(1): 45 -49 .
[9]	Yang Junjun,Gao Xiaohong,Wu Guoliang,Feng Shichao,Zou Chan. Research on Land Use/Cover Change in County Regions based on RS and GIS—Taking Huangzhong County as a Case[J]. Remote Sensing Technology and Application, 2011, 26(5): 561 -568 .
[10]	. [J]. Remote Sensing Technology and Application, 1989, 4(2): 50 -55 .

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