Improved Landscape Expansion Index and Its Application to Urban Growth in Urumqi
Automatic determination of quantitative parameters describing the pattern of urban expansion is extremely important for urban planning, urban management and civic resource configuration. Though the widely adopted LEI (landscape expansion index) has exhibited the potential to capture the evolution of...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/20/5255 |
| _version_ | 1797470103735894016 |
|---|---|
| author | Yuhang Tian Yanmin Shuai Xianwei Ma Congying Shao Tao Liu Latipa Tuerhanjiang |
| author_facet | Yuhang Tian Yanmin Shuai Xianwei Ma Congying Shao Tao Liu Latipa Tuerhanjiang |
| author_sort | Yuhang Tian |
| collection | DOAJ |
| description | Automatic determination of quantitative parameters describing the pattern of urban expansion is extremely important for urban planning, urban management and civic resource configuration. Though the widely adopted LEI (landscape expansion index) has exhibited the potential to capture the evolution of urban landscape patterns using multi-temporal remote sensing data, erroneous determination still exists, especially for patches with special shapes due to the limited consideration of spatial relationships among patches. In this paper, we improve the identification of urban landscape expansion patterns with an enhancement of the topological relationship. We propose MCI (Mean patch Compactness Index) and AWCI (Area-Weighted Compactness Index) in terms of the moment of inertia shape index. The effectiveness of the improved approach in identifying types of expansion patches is theoretically demonstrated with a series of designed experiments. Further, we apply the proposed approaches to the analysis of urban expansion features and dynamics of urban compactness over Urumqi at various 5-year stages using available SUBAD-China data from 1990–2015. The results achieved by the theoretical experiments and case application show our approach effectively suppressed the effects induced by shapes of patches and buffer or envelope box parameters for the accurate identification of patch type. Moreover, the modified MCI and AWCI exhibited an improved potential in capturing the landscape scale compactness of urban dynamics. The investigated 25-year urban expansion of Urumqi is dominated by edge-expansion patches and supplemented by outlying growth, with opposite trends of increasing and decreasing, with a gradual decrease in landscape fragmentation. Our examination using the proposed MCI and AWCI indicates Urumqi was growing more compact in latter 15-year period compared with the first 10 years studied, with the primary urban patches tending to be compacted earlier than the entire urban setting. The historical transformation trajectories based on remote sensing data show a significant construction land gain—from 1.06% in 1990 to 6.96% in 2015—due to 289.16 km<sup>2</sup> of recently established construction, accompanied by fast expansion northward, less dynamic expansion southward, and earlier extension in the westward direction than eastward. This work provides a possible means to improve the identification of patch expansion type and further understand the compactness of urban dynamics. |
| first_indexed | 2024-03-09T19:32:01Z |
| format | Article |
| id | doaj.art-b78ad9de98594e52bdc4872ecf2cdb02 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T19:32:01Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b78ad9de98594e52bdc4872ecf2cdb022023-11-24T02:22:06ZengMDPI AGRemote Sensing2072-42922022-10-011420525510.3390/rs14205255Improved Landscape Expansion Index and Its Application to Urban Growth in UrumqiYuhang Tian0Yanmin Shuai1Xianwei Ma2Congying Shao3Tao Liu4Latipa Tuerhanjiang5Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaCollege of Surveying and Mapping and Geographic Science, Liaoning Technical University, Fuxin 123000, ChinaCollege of Surveying and Mapping and Geographic Science, Liaoning Technical University, Fuxin 123000, ChinaCollege of Surveying and Mapping and Geographic Science, Liaoning Technical University, Fuxin 123000, ChinaXinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaXinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaAutomatic determination of quantitative parameters describing the pattern of urban expansion is extremely important for urban planning, urban management and civic resource configuration. Though the widely adopted LEI (landscape expansion index) has exhibited the potential to capture the evolution of urban landscape patterns using multi-temporal remote sensing data, erroneous determination still exists, especially for patches with special shapes due to the limited consideration of spatial relationships among patches. In this paper, we improve the identification of urban landscape expansion patterns with an enhancement of the topological relationship. We propose MCI (Mean patch Compactness Index) and AWCI (Area-Weighted Compactness Index) in terms of the moment of inertia shape index. The effectiveness of the improved approach in identifying types of expansion patches is theoretically demonstrated with a series of designed experiments. Further, we apply the proposed approaches to the analysis of urban expansion features and dynamics of urban compactness over Urumqi at various 5-year stages using available SUBAD-China data from 1990–2015. The results achieved by the theoretical experiments and case application show our approach effectively suppressed the effects induced by shapes of patches and buffer or envelope box parameters for the accurate identification of patch type. Moreover, the modified MCI and AWCI exhibited an improved potential in capturing the landscape scale compactness of urban dynamics. The investigated 25-year urban expansion of Urumqi is dominated by edge-expansion patches and supplemented by outlying growth, with opposite trends of increasing and decreasing, with a gradual decrease in landscape fragmentation. Our examination using the proposed MCI and AWCI indicates Urumqi was growing more compact in latter 15-year period compared with the first 10 years studied, with the primary urban patches tending to be compacted earlier than the entire urban setting. The historical transformation trajectories based on remote sensing data show a significant construction land gain—from 1.06% in 1990 to 6.96% in 2015—due to 289.16 km<sup>2</sup> of recently established construction, accompanied by fast expansion northward, less dynamic expansion southward, and earlier extension in the westward direction than eastward. This work provides a possible means to improve the identification of patch expansion type and further understand the compactness of urban dynamics.https://www.mdpi.com/2072-4292/14/20/5255LEIpatch compactnesstopological relationshipsremote sensingUrumqi |
| spellingShingle | Yuhang Tian Yanmin Shuai Xianwei Ma Congying Shao Tao Liu Latipa Tuerhanjiang Improved Landscape Expansion Index and Its Application to Urban Growth in Urumqi Remote Sensing LEI patch compactness topological relationships remote sensing Urumqi |
| title | Improved Landscape Expansion Index and Its Application to Urban Growth in Urumqi |
| title_full | Improved Landscape Expansion Index and Its Application to Urban Growth in Urumqi |
| title_fullStr | Improved Landscape Expansion Index and Its Application to Urban Growth in Urumqi |
| title_full_unstemmed | Improved Landscape Expansion Index and Its Application to Urban Growth in Urumqi |
| title_short | Improved Landscape Expansion Index and Its Application to Urban Growth in Urumqi |
| title_sort | improved landscape expansion index and its application to urban growth in urumqi |
| topic | LEI patch compactness topological relationships remote sensing Urumqi |
| url | https://www.mdpi.com/2072-4292/14/20/5255 |
| work_keys_str_mv | AT yuhangtian improvedlandscapeexpansionindexanditsapplicationtourbangrowthinurumqi AT yanminshuai improvedlandscapeexpansionindexanditsapplicationtourbangrowthinurumqi AT xianweima improvedlandscapeexpansionindexanditsapplicationtourbangrowthinurumqi AT congyingshao improvedlandscapeexpansionindexanditsapplicationtourbangrowthinurumqi AT taoliu improvedlandscapeexpansionindexanditsapplicationtourbangrowthinurumqi AT latipatuerhanjiang improvedlandscapeexpansionindexanditsapplicationtourbangrowthinurumqi |