"Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses"

doi:10.1080/10106049.2021.1871668

	"Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses"
	Sajadi, Payam 2; Singh, Amit 3; Sang, Yan-Fang 2; Mukherjee, Saumitra 3; Chapi, Kamran 1
刊名	GEOCARTO INTERNATIONAL
	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
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000614205400001
内容类型	期刊论文
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.Univ Kurdistan, Fac Nat Resources, Dept Rangeland & Watershed Management, Sanandaj, Iran 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 3.Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi, India
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.