标题: Refining Long-Time Series of Urban Built-Up-Area Extraction Based on Night-Time Light-A Case Study of the Dongting Lake Area in China

作者: Chen, YN (Chen, Yinan); Ren, F (Ren, Fu); Du, QY (Du, Qingyun); Zhou, P (Zhou, Pan)

来源出版物: LAND  卷: 13  期: 7  文献号: 1006  DOI: 10.3390/land13071006  Published Date: 2024 JUL  

摘要: By studying the development law of urbanization, the problems of disorderly expansion and resource wastage in urban built-up areas can be effectively avoided, which is crucial for the long-term sustainable development of cities. This study proposes a high-precision urban built-up-area extraction method for county-level cities for small and medium-sized towns in county-level regions. Our process is based on the Defense Meteorological Satellite/Operational Linescan System (DMSP/OLS) and the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS), which develops long-term series of coordinated night-time light (NTL) datasets. We then combined this with the Normalized Vegetation Index (NDVI) to calculate the Vegetation-Adjusted NTL Urban Index (VANUI). We combine land use data and a support vector machine (SVM) for semi-supervised classification learning to propose a high-precision urban built-up-area extraction method for county-level cities. We achieved the following results: (1) we fit binary polynomials to the DMSP/OLS and VIIRS NTL datasets based on the correspondence of the mean values to construct a consistent time series of NTL data. (2) Our method effectively improves the accuracy of urban built-up-area extraction, especially for county-level cities, with an overall accuracy of 91.84% and a Kappa coefficient of 0.83. (3) Our method can perform a long-time series of urban built-up-area extraction, and, by studying the spatial and temporal changes in urban built-up areas, it can provide valuable information for sustainable urban development and urban planning.

作者关键词: DMSP/OLS; VIIRS; NDVI; land use; SVM; Dongting Lake Area; built-up area

地址: [Chen, Yinan; Ren, Fu; Du, Qingyun] Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

[Ren, Fu; Du, Qingyun] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

[Zhou, Pan] Hunan Prov Inst Land & Resources Planning, Changsha 410007, Peoples R China.

通讯作者地址: Du, QY (通讯作者)，Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

Du, QY (通讯作者)，Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

电子邮件地址: ynchen@whu.edu.cn; renfu@whu.edu.cn; qydu@whu.edu.cn; tiansainan@hnucm.edu.cn

影响因子：3.2