The application of UAV oblique photography in debris flow disaster identification and analysis:Taking the debris flow in Caojiafang, Shijiaying, Fangshan District, Beijing as an Example

doi:10.6046/gtzyyg.2020.04.31

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Abstract

The traditional remote sensing survey method of debris flow is mainly orthophoto aerial photography, which has limitations in the accuracy and dimension of data acquisition. UAV tilt photography technology can simultaneously acquire images from different angles, such as vertical and tilt, obtain more complete and accurate information of ground objects, establish more intuitive three-dimensional model, and provide new technical means for geological disaster investigation. Taking the Caojiafang debris flow gully in Shijiaying as an example, the authors carried out the feature recognition analysis of debris flow disaster based on UAV tilt photogrammetry. It is believed that the high-precision three-dimensional model and texture details of debris flow gully can be obtained by incline photography, which can truly reflect the high-resolution information of the top and side of the real surface, and accurately obtain the distribution of debris flow material source and the estimation of material source volume; the data can be used to calculate the maximum amount of debris flow once washed out. This method can provide a more powerful means for the investigation of debris flow geological disasters and the assessment of current situation. The remote sensing technology can be fully used in the investigation and evaluation of debris flow disaster.

Keywords oblique photography debris flow three-dimensional model remote sensing identification and analysis

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Issue Date: 23 December 2020

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	Articles by authors

	Chi YAN
	Runcheng JIAO
	Ying CAO
	Yun NAN
	Shengyu WANG
	Xuefei GUO

Cite this article:

Chi YAN,Runcheng JIAO,Ying CAO, et al. The application of UAV oblique photography in debris flow disaster identification and analysis:Taking the debris flow in Caojiafang, Shijiaying, Fangshan District, Beijing as an Example[J]. Remote Sensing for Land & Resources, 2020, 32(4): 251-257.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.04.31 OR https://www.gtzyyg.com/EN/Y2020/V32/I4/251

Fig.1 Aerial image sketch map of Caojiafang debris flow ditch

Fig.2 Flow chart for rapid 3D modeling of oblique photographic data

Fig.3 Large scale Mesh model of Caojiafang debris flow gully

Tab.1 Statistic of main provenance of Caojiafang debris flow gully

Fig.4 Image characteristics of collapse and dangerous rock mass

Fig.5 Image characteristics of coal gangue heap

Fig.6 Image characteristics of human engineering deposits

Fig.7 Image characteristics of engineering slope cutting

Fig.8 Image characteristics of natural loose deposits

Fig.9 Schematic diagram of the upstream channel blocking of Caojiafang debris flow gully

Tab.2 Statistic of threatened objects in Caojiafang debris flow gully

Fig.10 Three dimensional schematic diagram of threat objects of Caojiafang debris flow gully

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