Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection

doi:10.1007/s11629-020-6084-5

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2020 > Vol17 No.12

	Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection
	Dai Wen; Hu Guang-hui; Yang Xin; Yang Xian-wu; Cheng Yi-han; Xiong Li-yang; Strobl, Josef; Tang Guo-an
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020
卷号	17 期号:12 页码:3024-3038
关键词	Ephemeral gully mapping Edge detection Flow direction Gully erosion Google Earth image ASTER GDEM
ISSN号	1672-6316
DOI	10.1007/s11629-020-6084-5
英文摘要	Ephemeral gullies, which are widely developed worldwide and threaten farmlands, have aroused a growing concern. Identifying and mapping gullies are generally considered prerequisites of gully erosion assessment. However, ephemeral gully mapping remains a challenge. In this study, we proposed a flow-directional detection for identifying ephemeral gullies from high-resolution images and digital elevation models (DEMs). Ephemeral gullies exhibit clear linear features in high-resolution images. An edge detection operator was initially used to identify linear features from high-resolution images. Then, according to gully erosion mechanism, the flow-directional detection was designed. Edge images obtained from edge detection and flow directions obtained from DEMs were used to implement the flow-directional detection that detects ephemeral gullies along the flow direction. Results from ten study areas in the Loess Plateau of China showed that ranges of precision, recall, and F-measure are 60.66%-90.47%, 65.74%-94.98%, and 63.10%-91.93%, respectively. The proposed method is flexible and can be used with various images and DEMs. However, analysis of the effect of DEM resolution and accuracy showed that DEM resolution only demonstrates a minor effect on the detection results. Conversely, DEM accuracy influences the detection result and is more important than the DEM resolution. The worse the vertical accuracy of DEM, the lower the performance of the flow-directional detection will be. This work is beneficial to research related to monitoring gully erosion and assessing soil loss.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/57077]
专题	Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.12
推荐引用方式 GB/T 7714	Dai Wen,Hu Guang-hui,Yang Xin,et al. Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(12):3024-3038.
APA	Dai Wen.,Hu Guang-hui.,Yang Xin.,Yang Xian-wu.,Cheng Yi-han.,...&Tang Guo-an.(2020).Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection.JOURNAL OF MOUNTAIN SCIENCE,17(12),3024-3038.
MLA	Dai Wen,et al."Identifying ephemeral gullies from high-resolution images and DEMs using flow-directional detection".JOURNAL OF MOUNTAIN SCIENCE 17.12(2020):3024-3038.