Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion
文献类型：期刊论文
| 作者 | Chen, Dong2,3; Wang, Yafei2,3; Shen, Zhenyu2,4; Liao, Jinfeng2,3; Chen, Jiezhi1; Sun, Shaobo5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 14期号:1页码:14 |
| 关键词 | coastal zone land use time series multi-source data fusion random forest classification change detection reclamation aquaculture |
| DOI | 10.3390/rs14010001 |
| 通讯作者 | Shen, Zhenyu(shenzy0921@163.com) |
| 英文摘要 | Human activities along with climate change have unsustainably changed the land use in coastal zones. This has increased demands and challenges in mapping and change detection of coastal zone land use over long-term periods. Taking the Bohai rim coastal area of China as an example, in this study we proposed a method for the long time-series mapping and change detection of coastal zone land use based on Google Earth Engine (GEE) and multi-source data fusion. To fully consider the characteristics of the coastal zone, we established a land-use function classification system, consisting of cropland, coastal aquaculture ponds (saltern), urban land, rural settlement, other construction lands, forest, grassland, seawater, inland fresh-waters, tidal flats, and unused land. We then applied the random forest algorithm, the optimal classification method using spatial morphology and temporal change logic to map the long-term annual time series and detect changes in the Bohai rim coastal area from 1987 to 2020. Validation shows an overall acceptable average accuracy of 82.30% (76.70-85.60%). Results show that cropland in this region decreased sharply from 1987 (53.97%) to 2020 (37.41%). The lost cropland was mainly transformed into rural settlements, cities, and construction land (port infrastructure). We observed a continuous increase in the reclamation with a stable increase at the beginning followed by a rapid increase from 2003 and a stable intermediate level increase from 2013. We also observed a significant increase in coastal aquaculture ponds (saltern) starting from 1995. Through this case study, we demonstrated the strength of the proposed methods for long time-series mapping and change detection for coastal zones, and these methods support the sustainable monitoring and management of the coastal zone. |
| WOS关键词 | COVER CHANGE ; AQUACULTURE PONDS ; BOHAI RIM ; CHINA ; WETLANDS ; IMAGES ; URBAN ; CLASSIFICATION ; DYNAMICS ; IMPACTS |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000752810900001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/170364]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shen, Zhenyu |
| 作者单位 | 1.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China 2.Chinese Acad, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Qinghai Normal Univ, Coll Geog Sci, Xining 810008, Peoples R China 5.Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Dong,Wang, Yafei,Shen, Zhenyu,et al. Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion[J]. REMOTE SENSING,2022,14(1):14. |
| APA | Chen, Dong,Wang, Yafei,Shen, Zhenyu,Liao, Jinfeng,Chen, Jiezhi,&Sun, Shaobo.(2022).Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion.REMOTE SENSING,14(1),14. |
| MLA | Chen, Dong,et al."Long Time-Series Mapping and Change Detection of Coastal Zone Land Use Based on Google Earth Engine and Multi-Source Data Fusion".REMOTE SENSING 14.1(2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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