Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data
Administering an urban boundary (UB) is increasingly important for curbing disorderly urban land expansion. The traditionally manual digitalization is time-consuming, and it is difficult to connect UB in the urban fringe due to the fragmented urban pattern in daytime data. Nighttime light (NTL) data...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-05-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/10/5/799 |
| _version_ | 1819294550901915648 |
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| author | Xingyu Xue Zhoulu Yu Shaochun Zhu Qiming Zheng Melanie Weston Ke Wang Muye Gan Hongwei Xu |
| author_facet | Xingyu Xue Zhoulu Yu Shaochun Zhu Qiming Zheng Melanie Weston Ke Wang Muye Gan Hongwei Xu |
| author_sort | Xingyu Xue |
| collection | DOAJ |
| description | Administering an urban boundary (UB) is increasingly important for curbing disorderly urban land expansion. The traditionally manual digitalization is time-consuming, and it is difficult to connect UB in the urban fringe due to the fragmented urban pattern in daytime data. Nighttime light (NTL) data is a powerful tool used to map the urban extent, but both the blooming effect and the coarse spatial resolution make the urban product unable to meet the requirements of high-precision urban study. In this study, precise UB is extracted by a practical and effective method using NTL data and Landsat 8 data. Hangzhou, a megacity experiencing rapid urban sprawl, was selected to test the proposed method. Firstly, the rough UB was identified by the search mode of the concentric zones model (CZM) and the variance-based approach. Secondly, a buffer area was constructed to encompass the precise UB that is near the rough UB within a certain distance. Finally, the edge detection method was adopted to obtain the precise UB with a spatial resolution of 30 m. The experimental results show that a good performance was achieved and that it solved the largest disadvantage of the NTL data-blooming effect. The findings indicated that cities with a similar level of socio-economic status can be processed together when applied to larger-scale applications. |
| first_indexed | 2024-12-24T04:28:07Z |
| format | Article |
| id | doaj.art-a4168e9e02c4447787f46bb188bee0bb |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-24T04:28:07Z |
| publishDate | 2018-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a4168e9e02c4447787f46bb188bee0bb2022-12-21T17:15:30ZengMDPI AGRemote Sensing2072-42922018-05-0110579910.3390/rs10050799rs10050799Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light DataXingyu Xue0Zhoulu Yu1Shaochun Zhu2Qiming Zheng3Melanie Weston4Ke Wang5Muye Gan6Hongwei Xu7Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaAdministering an urban boundary (UB) is increasingly important for curbing disorderly urban land expansion. The traditionally manual digitalization is time-consuming, and it is difficult to connect UB in the urban fringe due to the fragmented urban pattern in daytime data. Nighttime light (NTL) data is a powerful tool used to map the urban extent, but both the blooming effect and the coarse spatial resolution make the urban product unable to meet the requirements of high-precision urban study. In this study, precise UB is extracted by a practical and effective method using NTL data and Landsat 8 data. Hangzhou, a megacity experiencing rapid urban sprawl, was selected to test the proposed method. Firstly, the rough UB was identified by the search mode of the concentric zones model (CZM) and the variance-based approach. Secondly, a buffer area was constructed to encompass the precise UB that is near the rough UB within a certain distance. Finally, the edge detection method was adopted to obtain the precise UB with a spatial resolution of 30 m. The experimental results show that a good performance was achieved and that it solved the largest disadvantage of the NTL data-blooming effect. The findings indicated that cities with a similar level of socio-economic status can be processed together when applied to larger-scale applications.http://www.mdpi.com/2072-4292/10/5/799urban boundarynighttime lightconcentric zone modelurban planning |
| spellingShingle | Xingyu Xue Zhoulu Yu Shaochun Zhu Qiming Zheng Melanie Weston Ke Wang Muye Gan Hongwei Xu Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data Remote Sensing urban boundary nighttime light concentric zone model urban planning |
| title | Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data |
| title_full | Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data |
| title_fullStr | Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data |
| title_full_unstemmed | Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data |
| title_short | Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data |
| title_sort | delineating urban boundaries using landsat 8 multispectral data and viirs nighttime light data |
| topic | urban boundary nighttime light concentric zone model urban planning |
| url | http://www.mdpi.com/2072-4292/10/5/799 |
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