"Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses"
文献类型：期刊论文
| 作者 | Sajadi, Payam1; Singh, Amit2; Sang, Yan-Fang1 ; Mukherjee, Saumitra2; Chapi, Kamran3
|
| 刊名 | GEOCARTO INTERNATIONAL
 |
| 出版日期 | 2021-01-06 |
| 页码 | 33 |
| 关键词 | Factor analysis geomorphometric analysis multi-temporal imagery pan-sharpening clustering temporal variability |
| ISSN号 | 1010-6049 |
| DOI | 10.1080/10106049.2021.1871668 |
| 通讯作者 | Sang, Yan-Fang(sangyf@igsnrr.ac.cn) |
| 英文摘要 | A comprehensive integrated framework was designed to categorize individual streams and watersheds based on their temporal variation, and to determine the key drivers controlling watershed hydrology in the Qorveh-Dehgolan Basin. Four stream networks were extracted from multi-temporal Pan-Sharpened Landsat 7 and Landsat 8 imageries. Nineteen geomorphometric indices are measured and classified into the linear aspect, aerial aspect, and relief aspect. The results revealed a significant decline in stream networks from 2000 to 2017, reducing basin order. The factor analysis identified three principal factors including 'factor of basin magnitude' (affecting low-altitude watersheds), 'factor of steepness' (influencing high-altitude watersheds), and 'factor of texture'. The focal mechanism highlighted the complex fault mechanisms in the study area. Finally, RadViz clustering showed that for the lower order streams in the high-altitudes watersheds, stream width showed higher temporal variability in comparison to other parameters. In contrast, flow accumulation showed high variance in higher-order streams. |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000614205400001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136163]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sang, Yan-Fang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi, India 3.Univ Kurdistan, Fac Nat Resources, Dept Rangeland & Watershed Management, Sanandaj, Iran |
| 推荐引用方式 GB/T 7714 | Sajadi, Payam,Singh, Amit,Sang, Yan-Fang,et al. "Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses"[J]. GEOCARTO INTERNATIONAL,2021:33. |
| APA | Sajadi, Payam,Singh, Amit,Sang, Yan-Fang,Mukherjee, Saumitra,&Chapi, Kamran.(2021)."Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses".GEOCARTO INTERNATIONAL,33. |
| MLA | Sajadi, Payam,et al.""Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses"".GEOCARTO INTERNATIONAL (2021):33. |
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。