Quantifying Urban Vegetation Dynamics from a Process Perspective Using Temporally Dense Landsat Imagery
文献类型：期刊论文
| 作者 | Yu, Wenjuan; Zhou, Weiqi; Dawa, Zhaxi; Wang, Jia; Qian, Yuguo; Wang, Weimin |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-08 |
| 卷号 | 13期号:16页码:- |
| 关键词 | urban landscape dynamics change process temporally variation Continuous Change Detection and Classification vegetation greening |
| 英文摘要 | Urban vegetation can be highly dynamic due to the complexity of different anthropogenic drivers. Quantifying such dynamics is crucially important as it is a prerequisite to understanding its social and ecological consequences. Previous studies have mostly focused on the urban vegetation dynamics through monotonic trends analysis in certain intervals, but not considered the process which provides important insights for urban vegetation management. Here, we developed an approach that integrates trends with dynamic analysis to measure the vegetation dynamics from the process perspective based on the time-series Landsat imagery and applied it in Shenzhen, a coastal megacity in southern China, as an example. Our results indicated that Shenzhen was turning green from 2000-2020, even though a large-scale urban expansion occurred during this period. Approximately half of the city (49.5%) showed consistent trends in greening, most of which were located in the areas within the ecological protection baseline. We also found that 35.3% of the Shenzhen city experienced at least a one-time change in urban greenness that was mostly caused by changes in land cover types (e.g., vegetation to developed land). Interestingly, 61.5% of these lands showed trends in greening in the recent change period and most of them were distributed in build-up areas. Our approach that integrates trends analysis and dynamic process reveals information that cannot be discovered by monotonic trends analysis alone, and such information can provide insights for urban vegetation planning and management. |
| WOS研究方向 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45547]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Shenzhen Environm Monitoring Ctr, State Environm Protect Sci Observat & Res Stn Eco, Shenzhen 518049, Peoples R China 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Beijing Urban Ecosyst Res Stn, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Wenjuan,Zhou, Weiqi,Dawa, Zhaxi,et al. Quantifying Urban Vegetation Dynamics from a Process Perspective Using Temporally Dense Landsat Imagery[J]. REMOTE SENSING,2021,13(16):-. |
| APA | Yu, Wenjuan,Zhou, Weiqi,Dawa, Zhaxi,Wang, Jia,Qian, Yuguo,&Wang, Weimin.(2021).Quantifying Urban Vegetation Dynamics from a Process Perspective Using Temporally Dense Landsat Imagery.REMOTE SENSING,13(16),-. |
| MLA | Yu, Wenjuan,et al."Quantifying Urban Vegetation Dynamics from a Process Perspective Using Temporally Dense Landsat Imagery".REMOTE SENSING 13.16(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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