Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region
Studying the interaction between landscape patterns and temporal land-use changes in a metropolitan area can improve understanding of the urbanization process. Multitemporal remote sensing imagery is widely used to map the urbanization-caused temporal land-use dynamics, which mainly appear as built-...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/101756 http://hdl.handle.net/10220/19768 |
| _version_ | 1811680027412004864 |
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| author | Yang, Yetao Wong, Louis Ngai Yuen Chen, Chao Chen, Tao |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Yang, Yetao Wong, Louis Ngai Yuen Chen, Chao Chen, Tao |
| author_sort | Yang, Yetao |
| collection | NTU |
| description | Studying the interaction between landscape patterns and temporal land-use changes in a metropolitan area can improve understanding of the urbanization process. Multitemporal remote sensing imagery is widely used to map the urbanization-caused temporal land-use dynamics, which mainly appear as built-up growth. Remote sensing integrated with landscape metrics is also used to quantitatively describe the landscape pattern of the urban area in recent literature. However, few studies have focused on the interaction between the pattern and the process of urbanization in a metropolitan area. We propose a grid-based framework to analyze the influence of the landscape pattern on the built-up growth by using the multitemporal Landsat imagery. Remote sensing classification method is used to obtain thematic land-use maps. Built-up growth is then extracted from the multitemporal classification results by a postclassification change detection. Landscape pattern, which is quantitatively described by landscape metrics, is derived from the thematic land-use maps. A grid-based method is used to analyze the spatial variation of landscape pattern and its related built-up growth. Finally, the spatial relationship between the landscape pattern and the built-up growth characters is assessed and modeled by using the mathematical regression method. The present study shows that an apparent correlation between landscape pattern and built-up growth exists. The correlation reflects the inherent influences of landscape pattern on urban expansion. The landscape pattern indicates the land development stage, while the urbanization stage determines the speed and style of the following built-up growth. Scales, including temporal scale and spatial scale, are important to modeling the landscape pattern effects on the built-up growth. The proposed analysis framework is efficient in detecting and modeling the landscape pattern effects on the built-up growth. |
| first_indexed | 2024-10-01T03:18:31Z |
| format | Journal Article |
| id | ntu-10356/101756 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:18:31Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1017562020-03-07T11:45:53Z Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region Yang, Yetao Wong, Louis Ngai Yuen Chen, Chao Chen, Tao School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering Studying the interaction between landscape patterns and temporal land-use changes in a metropolitan area can improve understanding of the urbanization process. Multitemporal remote sensing imagery is widely used to map the urbanization-caused temporal land-use dynamics, which mainly appear as built-up growth. Remote sensing integrated with landscape metrics is also used to quantitatively describe the landscape pattern of the urban area in recent literature. However, few studies have focused on the interaction between the pattern and the process of urbanization in a metropolitan area. We propose a grid-based framework to analyze the influence of the landscape pattern on the built-up growth by using the multitemporal Landsat imagery. Remote sensing classification method is used to obtain thematic land-use maps. Built-up growth is then extracted from the multitemporal classification results by a postclassification change detection. Landscape pattern, which is quantitatively described by landscape metrics, is derived from the thematic land-use maps. A grid-based method is used to analyze the spatial variation of landscape pattern and its related built-up growth. Finally, the spatial relationship between the landscape pattern and the built-up growth characters is assessed and modeled by using the mathematical regression method. The present study shows that an apparent correlation between landscape pattern and built-up growth exists. The correlation reflects the inherent influences of landscape pattern on urban expansion. The landscape pattern indicates the land development stage, while the urbanization stage determines the speed and style of the following built-up growth. Scales, including temporal scale and spatial scale, are important to modeling the landscape pattern effects on the built-up growth. The proposed analysis framework is efficient in detecting and modeling the landscape pattern effects on the built-up growth. Published version 2014-06-13T08:03:06Z 2019-12-06T20:44:03Z 2014-06-13T08:03:06Z 2019-12-06T20:44:03Z 2014 2014 Journal Article Yang, Y., Wong, L. N. Y., Chen, C., & Chen, T. (2014). Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region. Journal of Applied Remote Sensing, 8(1), 083639-. 1931-3195 https://hdl.handle.net/10356/101756 http://hdl.handle.net/10220/19768 10.1117/1.JRS.8.083639 en Journal of applied remote sensing © 2014 Society of Photo-Optical Instrumentation Engineers. This paper was published in Journal of Applied Remote Sensing and is made available as an electronic reprint (preprint) with permission of Society of Photo-Optical Instrumentation Engineers. The paper can be found at the following official DOI: http://dx.doi.org/10.1117/1.JRS.8.083639. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering Yang, Yetao Wong, Louis Ngai Yuen Chen, Chao Chen, Tao Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region |
| title | Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region |
| title_full | Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region |
| title_fullStr | Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region |
| title_full_unstemmed | Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region |
| title_short | Using multitemporal Landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region |
| title_sort | using multitemporal landsat imagery to monitor and model the influences of landscape pattern on urban expansion in a metropolitan region |
| topic | DRNTU::Engineering::Civil engineering |
| url | https://hdl.handle.net/10356/101756 http://hdl.handle.net/10220/19768 |
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