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- 저자 : ( Victor Smagin ) (검색결과 1 건)
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( Timofey Orlov ),( Victor Smagin ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Peatlands are widespread all over Russia. Linear structures often are being designed and built across them. This work aims to develop a probability assessment technique for hazardous processes developing along with the linear structures. The technique results from the idea of the different probability of hazardous processes depending on the thickness and composition of the peat layer. There are critical thicknesses according to building standard, such as up to 1 m, from 1 to 3 m, more than 3 m. Accordingly, it is important at the first stage to develop a technique which allows us to detect the peat thickness quickly and reliably. In this work, we use a set of actual methods using quantitative parameters of landscape changes for developing landscape metrics, ground-penetrating radar (GPR) profiling, and convolutional neural networks. The analysis reviled that the following set of spatial data is the best for the peat thickness detecting: - Interpretation results of the PCA for the whole set of the optic channels of Sentinel 2. - Boundaries of main bog micro-landscapes. - Peatland topography. - The distance from a zero mark of peat depth. After extrapolation, we have got a peat thickness assessment for the total area under investigation (444 sq.km). The extrapolation error was evaluated using the test data as 18% (percentage of wrong predicted parameters of the testing sample). Now we plan to try to decrease the obtained error. The research was done with the support of the Russian Foundation for Basic Research projects 17-04-01749 and 18-05-00723.
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