Landform classification based on landform geospatial structure - a case study on Loess Plateau of China
文献类型：期刊论文
| 作者 | Lin, Siwei2,3; Xie, Jin2,3; Deng, Jiayin1,4; Qi, Meng2,3; Chen, Nan2,3 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2022-12-31 |
| 卷号 | 15期号:1页码:1125-1148 |
| ISSN号 | 1753-8947 |
| 关键词 | DEM landform classification geomorphological mapping watershed geospatial structure complex network |
| DOI | 10.1080/17538947.2022.2088874 |
| 通讯作者 | Chen, Nan(chennan@fzu.edu.cn) |
| 英文摘要 | Landform classification, which is a key topic of geography, is of great significance to a wide range of fields including human construction, geological structure research, environmental governance, etc. Previous studies of landform classification generally paid attention to the topographic or texture information, whilst the watershed spatial structure has not been used. This study developed a new landform classification method based on watershed geospatial structure. Via abstracting the landform into the internal and marginal structure, we adopted the gully weighted complex network (GWCN) and watershed boundary profile (WBP) to simulate the watershed geospatial structure. Introducing various indices to quantitatively depict the watershed geospatial structure, we conducted the landform classification on the Northern Shaanxi of Loess Plateau with a watershed-based strategy and established the classification map. The classified landform distribution has significant spatial aggregation and clear regional boundaries. Classification accuracy reached 89% and the kappa coefficient reached 0.87%. Besides, the proposed method has a positive response to some similar and complex landforms. In general, the present study first utilized the watershed geospatial structure to conduct landform classification and is an efficient landform classification method with well accuracy and universality, offering additional insights for landform classification and mapping. |
| WOS关键词 | DIGITAL ELEVATION MODEL ; COMPLEX-NETWORK ; SLOPE SPECTRUM ; MANAGEMENT ; XGBOOST ; RECOGNITION ; EXTRACTION ; TERRAINS ; ACCURACY ; QUALITY |
| 资助项目 | National Natural Science Foundation of China[41771423] ; National Natural Science Foundation of China[41491339] ; National Natural Science Foundation of China[41930102] ; National Natural Science Foundation of China[41601408] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000819556500001 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/180531]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Nan |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou, Peoples R China 3.Fuzhou Univ, Acad Digital China Fujian, Fuzhou, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Siwei,Xie, Jin,Deng, Jiayin,et al. Landform classification based on landform geospatial structure - a case study on Loess Plateau of China[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2022,15(1):1125-1148. |
| APA | Lin, Siwei,Xie, Jin,Deng, Jiayin,Qi, Meng,&Chen, Nan.(2022).Landform classification based on landform geospatial structure - a case study on Loess Plateau of China.INTERNATIONAL JOURNAL OF DIGITAL EARTH,15(1),1125-1148. |
| MLA | Lin, Siwei,et al."Landform classification based on landform geospatial structure - a case study on Loess Plateau of China".INTERNATIONAL JOURNAL OF DIGITAL EARTH 15.1(2022):1125-1148. |
入库方式： OAI收割
来源：地理科学与资源研究所
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