Research and application of automatic extraction method for submarine canyon characteristic elements based on manual sup
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ORIGINAL RESEARCH PAPER
Research and application of automatic extraction method for submarine canyon characteristic elements based on manual supervision Qingjie Zhou1,2 · Shan Gao1,2 · Lejun Liu1 · Xishuang Li1,2 · Hang Zhou1 · Yuanqin Xu1,2 · Baohua Liu3 · Kunxiang Luan4 Received: 19 December 2019 / Accepted: 25 September 2020 © Springer Nature B.V. 2020
Abstract Submarine canyons are the major channels for the migration of terrigenous sediments towards deep seas and an important geomorphological unit in continental shelves/slopes. With the development of multibeam bathymetry technology, a method of quickly identifying and accurately extracting the characteristics of submarine canyons from large datasets is urgently required. In this paper, under manual supervision, based on the principles of hydrological analysis and slope analysis, we established a method to quickly identify and extract the characteristic elements of submarine canyons from digital elevation model (DEM) data via the data modeling tools in ArcGIS, according to the topographic features such as U and V shaped downcutting at the bottom of the submarine canyon and high-relief steep canyon walls. The analytical results of the Shenhu Canyons in the northern slope of the South China Sea show that this method can rapidly determine the development position and characteristic elements of submarine canyons and obtain the canyon head and mouth water depth, canyon thalweg length and canyon range (area of canyon floor). To obtain the optimal parameter set applicable to the study area, the factors affecting canyon identification, such as the canyon morphology, reclassification threshold and data resolution, are discussed and analyzed. The results show that the canyon morphology has little influence on the accuracy of recognition results for straight, parallel or sub-parallel canyons. The reclassification threshold of the zero flow accumulation and the spatial resolution of the DEM data determine the accuracy of canyon thalweg recognition, which are two important factors affecting the accuracy of canyon identification results. For the Shenhu Canyons area, a spatial resolution of 200 m and reclassification threshold of 0.4 are the optimal parameters for identifying and extracting features from submarine canyons, and the identification results of automatic and manual extraction of canyon parameters show that the heads water depth differences all are less than 210 m and the thalwegs length difference of the canyon are within 7 km. Keywords Submarine canyon · Hydrological analysis · Feature extraction · Digital elevation model
* Qingjie Zhou [email protected] * Shan Gao [email protected] 1
Key Laboratory of Marine Geology and Metallogeny, First Institute of Oceanography, MNR, Qingdao 266061, People’s Republic of China
2
Function Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology, Qingdao 266061, People’s Republic of China
3
National Deep Sea Center, Qingdao 266237, People’s Republic of China
4
Laurel Marine
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