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DOI | 10.1016/j.rse.2020.111665 |
Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images | |
Cao W.; Zhou Y.; Li R.; Li X. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 239 |
英文摘要 | Insights into the dynamics of coastlines and tidal flats at fine spatial and temporal resolutions are essential for sustainable development. Previous studies were generally conducted at relatively coarse temporal intervals, which hardly captured detailed coastal dynamics, especially in rapidly developing islands. In this study, we developed a new method to map the monthly changes in coastlines and tidal flats in the Zhoushan Archipelago during 1985–2017 using the full time series of Landsat images based on the Google Earth Engine (GEE) platform. First, we built the full time series of the Modified Normalized Difference Water Index (MNDWI). Second, we derived temporal segments of MNDWI using a binary segmentation algorithm. Third, we classified the corresponding coastal cover types (i.e., water, tidal flats, and land) for each temporal segment based on the features of MNDWI and regional tidal heights. Finally, we identified the change information including conversion types, and turning years and months. Results indicate that the proposed method can well identify turning years with an overall accuracy of 90% and map coastal cover types with overall accuracies of 89–94% in 1985 and 87–92% in 2017. Significant coastline expansions and declines in tidal flats were found in the study area. The areas of water and tidal flats decreased by 6% and 10% during 1985–2017, respectively, while the land area increased by 18%. The land reclamation was accelerated in the recent decade, and mainly occurred on the medium-large islands, their surrounding small islands, and the islands close to the mainland. The proposed framework based on the GEE platform is transferable to investigate coastal dynamics in other areas. The derived information of changes in coastlines and tidal flats is of great use for sustainable management and ecological studies in coastal areas. © 2020 Elsevier Inc. |
英文关键词 | Change detection; East China; Full time series; Google Earth Engine; Island; Land reclamation |
语种 | 英语 |
scopus关键词 | Dynamics; Engines; Image segmentation; Land reclamation; Land use; Sustainable development; Tides; Time series; Binary segmentation; Change detection; East China; Google earths; Island; Modified Normalized Difference Water Index (MNDWI); Spatial and temporal resolutions; Sustainable management; Wetlands; accuracy assessment; algorithm; coastal zone; coastal zone management; land reclamation; Landsat; mapping method; segmentation; tidal flat; time series; Zhoushan Islands |
来源期刊 | Remote Sensing of Environment
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179436 |
作者单位 | School of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang 310027, China; Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA 50011, United States |
推荐引用方式 GB/T 7714 | Cao W.,Zhou Y.,Li R.,et al. Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images[J],2020,239. |
APA | Cao W.,Zhou Y.,Li R.,&Li X..(2020).Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images.Remote Sensing of Environment,239. |
MLA | Cao W.,et al."Mapping changes in coastlines and tidal flats in developing islands using the full time series of Landsat images".Remote Sensing of Environment 239(2020). |
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