Remote sensing applications in geomorphology: Innovations, insights and perspectives
文献类型:期刊论文
| 作者 | Xiong, Li-yang2; Qin, Cheng-zhi1 |
| 刊名 | EARTH SURFACE PROCESSES AND LANDFORMS
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| 出版日期 | 2025-11-01 |
| 卷号 | 50期号:14页码:e70190 |
| 关键词 | AI application digital elevation model geomorphology remote sensing terrain analysis |
| DOI | 10.1002/esp.70190 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Geomorphology plays a pivotal role in Earth sciences by unravelling the dynamic interplay among landforms, natural processes and anthropogenic influences. With the development of Earth observation techniques, remote sensing has revolutionised geomorphology by enabling large-scale, high-resolution analysis of Earth surface processes and landforms. These help to achieve more accurate, scalable and process-oriented geomorphological interpretations of surface morphology, spatial patterns, and evolution processes across a range of spatial and temporal scales. This Special Issue of 'Remote Sensing Applications in Geomorphology' highlights the applications of remote sensing in geomorphological research. The contributions of this Special Issue can be summarised into four aspects according to their methodological innovations and insights. They are modelling and representation of landform morphology, extraction and mapping of geomorphic features, exploration and revelation of landform processes, and those particularly empowered by AI. Each aspect effectively demonstrates the application of remote sensing data and methodologies in geomorphological research. Moreover, potential perspectives for the remote sensing application in geomorphological research are discussed from the above four aspects to achieve a better understanding of future development. |
| URL标识 | 查看原文 |
| WOS研究方向 | Physical Geography ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001628122300003 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219404] ![]() |
| 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 | Xiong, Li-yang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Nanjing Normal Univ, Nanjing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Xiong, Li-yang,Qin, Cheng-zhi. Remote sensing applications in geomorphology: Innovations, insights and perspectives[J]. EARTH SURFACE PROCESSES AND LANDFORMS,2025,50(14):e70190. |
| APA | Xiong, Li-yang,&Qin, Cheng-zhi.(2025).Remote sensing applications in geomorphology: Innovations, insights and perspectives.EARTH SURFACE PROCESSES AND LANDFORMS,50(14),e70190. |
| MLA | Xiong, Li-yang,et al."Remote sensing applications in geomorphology: Innovations, insights and perspectives".EARTH SURFACE PROCESSES AND LANDFORMS 50.14(2025):e70190. |
入库方式: OAI收割
来源:地理科学与资源研究所
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