Multi-Level Dynamic Analysis of Landscape Patterns of Chinese Megacities during the Period of 2016-2021 Based on a Spatiotemporal Land-Cover Classification Model Using High-Resolution Satellite Imagery: A Case Study of Beijing, China
文献类型：期刊论文
| 作者 | Li, Zhi; Lu, Yi; Yang, Xiaomei |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 15期号:1 |
| 关键词 | urban land-cover mapping spatiotemporal land-cover classification multi-scale landscape pattern analysis GaoFen-1 |
| DOI | 10.3390/rs15010074 |
| 文献子类 | J |
| 英文摘要 | In today's accelerating urbanization process, timely and effective monitoring of land-cover dynamics, landscape pattern analysis, and evaluation of built-up urban areas (BUAs) have important research significance and practical value for the sustainable development, planning and management, and ecological protection of cities. High-spatial-resolution remote sensing (HRRS) images have the advantages of high-accuracy Earth observations, covering a large area, and having a short playback period, and they can objectively and accurately provide fine dynamic spatial information about the land cover in urban built-up areas. However, the complexity and comprehensiveness of the urban structure have led to a single-scale analysis method, which makes it difficult to accurately and comprehensively reflect the characteristics of the BUA landscape pattern. Therefore, in this study, a joint evaluation method for an urban land-cover spatiotemporal-mapping chain and multi-scale landscape pattern using high-resolution remote sensing imagery was developed. First, a pixel-object-knowledge model with temporal and spatial classifications was proposed for the spatiotemporal mapping of urban land cover. Based on this, a multi-scale district-BUA-city block-land cover type map of the city was established and a joint multi-scale evaluation index was constructed for the multi-scale dynamic analysis of the urban landscape pattern. The accuracies of the land cover in 2016 and 2021 were 91.9% and 90.4%, respectively, and the kappa coefficients were 0.90 and 0.88, respectively, indicating that the method can provide effective and reliable information for spatial mapping and landscape pattern analysis. In addition, the multi-scale analysis of the urban landscape pattern revealed that, during the period of 2016-2021, Beijing maintained the same high urbanization rate in the inner part of the city, while the outer part of the city kept expanding, which also reflects the validity and comprehensiveness of the analysis method developed in this study. |
| WOS关键词 | SPATIAL-RESOLUTION ; URBAN EXPANSION ; URBANIZATION ; INDEX ; EXTRACTION ; CITY |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 出版者 | MDPI |
| WOS记录号 | WOS:000908814200001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188652]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.University of Chinese Academy of Sciences, CAS 2.Institute of Geographic Sciences & Natural Resources Research, CAS 3.Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Li, Zhi,Lu, Yi,Yang, Xiaomei. Multi-Level Dynamic Analysis of Landscape Patterns of Chinese Megacities during the Period of 2016-2021 Based on a Spatiotemporal Land-Cover Classification Model Using High-Resolution Satellite Imagery: A Case Study of Beijing, China[J]. REMOTE SENSING,2023,15(1). |
| APA | Li, Zhi,Lu, Yi,&Yang, Xiaomei.(2023).Multi-Level Dynamic Analysis of Landscape Patterns of Chinese Megacities during the Period of 2016-2021 Based on a Spatiotemporal Land-Cover Classification Model Using High-Resolution Satellite Imagery: A Case Study of Beijing, China.REMOTE SENSING,15(1). |
| MLA | Li, Zhi,et al."Multi-Level Dynamic Analysis of Landscape Patterns of Chinese Megacities during the Period of 2016-2021 Based on a Spatiotemporal Land-Cover Classification Model Using High-Resolution Satellite Imagery: A Case Study of Beijing, China".REMOTE SENSING 15.1(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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