Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (4) : 205-213     DOI: 10.6046/gtzyyg.2017.04.31
|
A study of urbanization progress and spatial pattern using DMSP/OLS nighttime light data:A case study of Hangzhou City
JIN Pingbin, XU Pengfei
Institute of Urban and Regional Development, Zhejiang University, Hangzhou 310027, China
Download: PDF(3556 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  The DMSP/OLS nighttime light(NTL)data provide an effective approach to characterizing the urbanization progress of cities, especially its spatial-temporal changes. In this paper,the authors combined the DMSP/OLS NTL data with the social economic statistics to examine the urban expansion of Hangzhou City, the capital of Zhejiang Province in eastern coastal region of China, during the period of 1992―2013. The relationship between urban expansion and traffic lines were also detected with the concept of landscape pattern and patches. The results show that the urbanization in Hangzhou City before 2000 was quite slow, and there existed an accelerated process since 2000 due to the development of economy, with the urbanization region also converted from central downtown to other areas along with the process. Further research indicates that the urbanization process in Hangzhou City has a great relevance with transportation in terms of direction and pattern, which might be attributed to the terrain and local condition. It is a novel attempt to investigate the urbanization of Hangzhou City on the basis of the DMSP/OLS NTL data and concepts of landscape, which would provide a significant guideline for the urban planning and development.
Keywords GF-1      karst hilly area      hydrogeololgy      environmental geology     
:  TP79  
Issue Date: 04 December 2017
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
CHENG Yang
TANG Jiansheng
SU Chuntian
YANG Yang
LUO Fei
Cite this article:   
CHENG Yang,TANG Jiansheng,SU Chuntian, et al. A study of urbanization progress and spatial pattern using DMSP/OLS nighttime light data:A case study of Hangzhou City[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 205-213.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.04.31     OR     https://www.gtzyyg.com/EN/Y2017/V29/I4/205
[1] 许学强,周一星,宁越敏.城市地理学[M].2版.北京:高等教育出版社,2009:54-81.
Xu X Q,Zhou Y X,Ning Y M.Urban Geography[M].2nd ed.Beijing:Higher Education Press,2009:54-81.
[2] 李 强,陈宇琳,刘精明.中国城镇化“推进模式”研究[J].中国社会科学,2012(7):82-100,204-205.
Li Q,Chen Y L,Liu J M.Analysis of urbanization in China[J].Social Sciences in China,2012(7):82-100,204-205.
[3] 刘彦随,杨 忍.中国县域城镇化的空间特征与形成机理[J].地理学报,2012,67(8):1011-1020.
Liu Y S,Yang R.The spatial characteristics and formation mechanism of the county urbanization in China[J].Acta Geographica Sinica,2012,67(8):1011-1020.
[4] 杨 洋,何春阳,赵媛媛,等.利用DMSP/OLS稳定夜间灯光数据提取城镇用地信息的分层阈值法研究[J].中国图象图形学报,2011,16(4):666-673.
Yang Y,He C Y,Zhao Y Y,et al.Research on the layered threshold method for extracting urban land using the DMSP/OLS stable nighttime light data[J].Journal of Image and Graphics,2011,16(4):666-673.
[5] 周 垠,李 磊,廖 菲.成都平原城市群城镇化时空格局——基于DMSP/OLS夜间灯光数据的研究[J].城市发展研究,2015,22(3):28-32.
Zhou Y,Li L,Liao F.Analysis the spatial-temporal pattern of the urbanization of Chengdu metropolitan region using nighttime light image[J].Urban Development Studies,2015,22(3):28-32.
[6] Zhuo L,Zheng J,Zhang X F,et al.An improved method of night-time light saturation reduction based on EVI[J].International Journal of Remote Sensing,2015,36(16):4114-4130.
[7] Liu Y X,Wang Y L,Peng J,et al.Correlations between urbanization and vegetation degradation across the world’s metropolises using DMSP/OLS nighttime light data[J].Remote Sensing,2015,7(2):2067-2088.
[8] Letu H,Hara M,Tana G,et al.Generating the nighttime light of the human settlements by identifying periodic components from DMSP/OLS satellite imagery[J].Environment Science and Technology,2015,40(17):10503-10509.
[9] Letu H,Hara M,Yagi H,et al.Estimating energy consumption from night-time DMPS/OLS imagery after correcting for saturation effects[J].International Journal of Remote Sensing,2010,31(16):4443-4458.
[10] 李 通,何春阳,杨 洋,等.1995—2008年中国大陆电力消费量时空动态[J].地理学报,2011,66(10):1403-1412.
Li T,He C Y,Yang Y,et al.Understanding electricity consumption changes in Chinese mainland from 1995 to 2008 by using DMSP/OLS stable nighttime light time series data[J].Acta Geographica Sinica,2011,66(10):1403-1412.
[11] 吴健生,牛 妍,彭 建,等.基于DMSP/OLS夜间灯光数据的1995—2009年中国地级市能源消费动态[J].地理研究,2014,33(4):625-634.
Wu J S,Niu Y,Peng J,et al.Research on energy consumption dynamic among prefecture-level cities in China based on DMSP/OLS nighttime light[J].Geographical Research,2014,33(4):625-634.
[12] Croft T A.Nighttime images of the earth from space[J].Scientific American,1978,239(1):86-98.
[13] Henderson M,Yeh E T,Gong P,et al.Validation of urban boundaries derived from global night-time satellite imagery[J].International Journal of Remote Sensing,2003,24(3):595-609.
[14] 何春阳,史培军,李景刚,等.基于DMSP/OLS夜间灯光数据和统计数据的中国大陆20世纪90年代城市化空间过程重建研究[J].科学通报,2006,51(7):856-861.
He C Y,Shi P J,Li J G,et al.Restoring urbanization process in China in the 1990s by using non-radiance-calibrated DMSP/OLS nighttime light imagery and statistical data[J].Chinese Science Bulletin,2006,51(13):1614-1620.
[15] Liu Z F,He C Y,Yang Y.Mapping urban areas by performing systematic correction for DMSP/OLS nighttime lights time series in China from 1992 to 2008[C]//Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium.Vancouver,BC,Canada:IEEE,2011:1858-1861.
[16] Yi K P,Tani H,Li Q,et al.Mapping and evaluating the urbanization process in northeast China using DMSP/OLS nighttime light data[J].Sensor,2014,14(2):3207-3226.
[17] Ma T,Zhou Y K,Zhou C H,et al.Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data[J].Remote Sensing of Environment,2015,158:453-464.
[18] Elvidge C D,Ziskin D,Baugh K E,et al.A fifteen year record of global natural gas flaring derived from satellite data[J].Energies,2009,2(3):595-622.
[19] Wu J S,He S B,Peng J,et al.Intercalibration of DMSP-OLS night-time light data by the invariant region method[J].International Journal of Remote Sensing,2013,34(20):7356-7368.
[20] 舒 松,余柏蒗,吴健平,等.基于夜间灯光数据的城市建成区提取方法评价与应用[J].遥感技术与应用,2011,26(2):169-176.
Shu S,Wu B L,Wu J P,et al.Methods for deriving urban built-up area using night-light data:Assessment and application[J].Remote Sensing Technology and Application,2011,26(2):169-176.
[21] Imhoff M L,Lawrence W T,Stutzer D C,et al.A technique for using composite DMSP/OLS “City Lights” satellite data to map urban area[J].Remote Sensing of Environment,1997,61(3):361-370.
[22] Zhang Q L,Seto K C.Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data[J].Remote Sensing of Environment,2011,115(9):2320-2329.
[23] Huang Q X,Yang X,Gao B,et al.Application of DMSP/OLS nighttime light images:A meta-analysis and a systematic literature review[J].Remote Sensing,2014,6(8):6844-6866.
[24] 邬建国.景观生态学——格局、过程、尺度与等级[M].2版.北京:高等教育出版社,2007.
Wu J G.Landscape Ecology:Pattern,Process,Scale and Hierarchy[M].2nd ed.Beijing:Higher Education Press,2007.
[25] Wu J S,Ma L,Li W F,et al.Dynamics of urban density in China:Estimations based on DMSP/OLS nighttime light data[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(10):4266-4275.
[26] 何春阳,史培军,陈 晋,等.北京地区城市化过程与机制研究[J].地理学报,2002,57(3):363-371.
He C Y,Shi P J,Chen J,et al.Process and mechanism of urbanization in Beijing area[J].Acta Geographica Sinica,2002,57(3):363-371.
[27] 夏 飞,叶 莉,袁 洁.中国公路交通与城镇化发展综合评价及其相关性研究[J].广西财经学院学报,2010,23(4):1-6.
Xia F,Ye L,Yuan J.Comprehensive evaluation and correlations research of China highway traffic and urbanization development[J].Journal of Guangxi University of Finance and Economics,2010,23(4):1-6.
[1] WANG Rong, ZHAO Hongli, JIANG Yunzhong, HE Yi, DUAN Hao. Application and analyses of texture features based on GF-1 WFV images in monthly information extraction of crops[J]. Remote Sensing for Natural Resources, 2021, 33(3): 72-79.
[2] LI Xusheng, LIU Yufeng, CHEN Donghua, LIU Saisai, LI Hu. Cloud detection based on support vector machine with image features for GF-1 data[J]. Remote Sensing for Land & Resources, 2020, 32(3): 55-62.
[3] Yizhe WANG, Guo LIU, Li GUO, Shihu ZHAO, Xueli ZHANG. Research on ortho-rectification and true color synthesis technique of GF-1 WFV data in China-Pakistan Economic Corridor[J]. Remote Sensing for Land & Resources, 2020, 32(2): 213-218.
[4] Zhuhong ZHANG, Baoyun WANG, Yumei SUN, Caidong LI, Xianchen SUN, Lingli ZHANG. River extraction from GF-1 satellite images combining stroke width transform and a geometric feature set[J]. Remote Sensing for Land & Resources, 2020, 32(2): 54-62.
[5] Ning WANG, Jiahua CHENG, Hanye ZHANG, Hongjie CAO, Jun LIU. Application of U-net model to water extraction with high resolution remote sensing data[J]. Remote Sensing for Land & Resources, 2020, 32(1): 35-42.
[6] Hui YUAN, Qiming QIN, Yuanheng SUN. Validation of LAI retrieval results of winter wheat in Yancheng, Luohe area of Henan Province[J]. Remote Sensing for Land & Resources, 2020, 32(1): 162-168.
[7] Jida PENG, Chungui ZHANG. Remote sensing monitoring of vegetation coverage by GF-1 satellite: A case study in Xiamen City[J]. Remote Sensing for Land & Resources, 2019, 31(4): 137-142.
[8] Fuqiang CHEN, Guoshi DENG, Xingyi JI, Yunfeng ZHANG, Chaowei JIAO, Chun FENG. Application of remote sensing technology to hydrogeological environment survey in the Luoji mountain area, western Sichuan Province[J]. Remote Sensing for Land & Resources, 2019, 31(4): 209-217.
[9] Xiaotong LI, Xianlin QIN, Shuchao LIU, Guifen SUN, Qian LIU. Estimation of forest leaf area index based on GF-1 WFV data[J]. Remote Sensing for Land & Resources, 2019, 31(3): 80-86.
[10] Guifen SUN, Xianlin QIN, Shuchao LIU, Xiaotong LI, Xiaozhong CHEN, Xiangqing ZHONG. Potential analysis of typical vegetation index for identifying burned area[J]. Remote Sensing for Land & Resources, 2019, 31(1): 204-211.
[11] Chen GAO, Jian XU, Dan GAO, Lili WANG, Yeqiao WANG. Retrieval of concentration of total suspended matter from GF-1 satellite and field measured spectral data during flood period in Poyang Lake[J]. Remote Sensing for Land & Resources, 2019, 31(1): 101-109.
[12] Yilin JIA, Wen ZHANG, Lingkui MENG. A study of selection method of NDWI segmentation threshold for GF-1 image[J]. Remote Sensing for Land & Resources, 2019, 31(1): 95-100.
[13] Jian LIAO, Xingfa GU, Yulin ZHAN, Yazhou ZHANG, Xinyu REN, Shuaiyi SHI. A method based on harmonic model for generating synthetic GF-1 images[J]. Remote Sensing for Land & Resources, 2018, 30(3): 106-112.
[14] Ruijun WANG, Bokun YAN, Mingsong LI, Shuangfa DONG, Yongbin SUN, Bing WANG. Remote sensing interpretation of important ore-controlling geological units in Hongshan Region of Gansu Province using GF-1 image and its application[J]. Remote Sensing for Land & Resources, 2018, 30(2): 162-170.
[15] Lingyu YIN, Xianlin QIN, Guifen SUN, Shuchao LIU, Xiaofeng ZU, Xiaozhong CHEN. The method for detecting forest cover change in GF-1images by using KPCA[J]. Remote Sensing for Land & Resources, 2018, 30(1): 95-101.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech