Quantitative assessment of coastal zone scene changes and drivers in the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area
文献类型：期刊论文
| 作者 | Yan, Fengqin3,4; Shi, Tiezhu1,2,5,7,8; Tang, Yuzhi6; Su, Fenzhen3,4 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2026-07-01 |
| 卷号 | 19期号:1页码:2622141 |
| 关键词 | Coastal zone remote sensing scene change land-use change human activities urban agglomeration |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2026.2622141 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The intensification of coastal land-use change in rapidly urbanizing regions demands robust, quantitative approaches to attribute and measure driver impacts on landscape transformation. Advances in scene classification using geographic big data have enabled greater spatial and functional resolution in mapping such changes, yet the relative roles and quantification of anthropogenic versus natural drivers in coastal zones remain poorly resolved. Here, we integrate Landsat and Sentinel-2 remote sensing imagery (1990-2019), OpenStreetMap data, and urban and marine zoning information, employing random forest classification and trajectory analysis, to the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Over three decades, approximately 1,730 km(2) of marine areas - representing 4.8% of the study area - were converted to cropland or urban land. The urban and farmland scenes expanded by 890 km(2) (2.5%) and 520 km(2) (1.4%) of the area, respectively. Quantitative attribution showed that human activities accounted for 77.7% of all observed coastal scene changes, with natural factors contributing only 22.3%. These results clarify the scale and dominant drivers of coastal transformation, establishing a quantitative baseline for coastal management. This approach demonstrates how recent advances in scene classification clarify spatially explicit, reproducible insights for sustainable coastal planning and restoration. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-COVER CHANGE ; TRAJECTORY ANALYSIS ; SCENARIOS ; FOREST |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001675169900001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/220941]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Su, Fenzhen |
| 作者单位 | 1.Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen, Peoples R China; 2.Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen, Peoples R China; 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 5.Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen, Peoples R China; 6.Guangdong Lab Artificial Intelligence & Digital Ec, Shenzhen, Peoples R China 7.Shenzhen Univ, Guangdong Hong Kong Macau Joint Lab Smart Cities, Shenzhen, Peoples R China; 8.Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yan, Fengqin,Shi, Tiezhu,Tang, Yuzhi,et al. Quantitative assessment of coastal zone scene changes and drivers in the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2026,19(1):2622141. |
| APA | Yan, Fengqin,Shi, Tiezhu,Tang, Yuzhi,&Su, Fenzhen.(2026).Quantitative assessment of coastal zone scene changes and drivers in the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area.INTERNATIONAL JOURNAL OF DIGITAL EARTH,19(1),2622141. |
| MLA | Yan, Fengqin,et al."Quantitative assessment of coastal zone scene changes and drivers in the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area".INTERNATIONAL JOURNAL OF DIGITAL EARTH 19.1(2026):2622141. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。