Landslide disasters are characterized by widespread distribution,high frequency of occurrence,and severe disaster losses.China is one of the most seriously affected countries by landslide disasters in the world.The distribution of disasters has obvious regional characteristics.The southwest region is the most serious area.Landslide determination mainly includes three categories:landslide extraction,landslide monitoring and disaster risk assessment.Because of unpredictability before the occurrence of the disaster,the field environment is complicated and other factors make the work difficult,and the constraints of low accuracy of traditional remote sensing image data,so there is still much room for improvement the landslide determination technology.The aerial photography technology of UAV has the characteristics of being free of terrain restrictions,no shadow effects,and agility.It can carry different sensors to obtain corresponding remote sensing data.Compared to traditional satellite remote sensing image data,the resolution of UVA aerial remote sensing image data is greatly improved.In order to obtain landform features of landslide accurately,determine disaster conditions quickly and formulate post-disaster prevention and control measures reasonably.This study explores landslide determination based on UVA aerial photography technology,explores a new technique for determining monomer landslides.Provide scientific basis for disaster prediction and preparation of disaster prevention and mitigation measures.This study takes two landslides in Luquan county,Yunnan Province as the research area,based on digital cameras and laser radar as data acquisition tools.The specific contents of landslide detection include landslide extraction,landslide topography analysis and disaster risk analysis.The processed of aerial remote sensing image data is based on the Terrasdid software and the Photoscan software.The TIN is generated in the ArcGIS software to generate the landslide slip plane DEM.The landslide reference surface DEM is interpolated by the Kriging method according to the surface undulation information of the slope lands and woodlands around the landslide;Based on the DEM method to calculate the landslide volume.The landslide was quantitatively extracted based on the variation of the landform height;the landslide profile and slope map were based on the landslide direction.Calculate landslide intensity based on the above analysis data,and be an analysis basis for the degree of disaster caused by landslides.The main results are as follows:1、With GIS and unmanned aerial UAV data processing software,landslide high-precision digital elevation model can be generated successfully with a resolution of 0.03 m,which is higher than satellite remote sensing images.It can be used to construct the change of topography of the landslide area;2 、 UAV aerial remote sensing image processing can obtain high-precision landslide orthophoto images,digital elevation model of landslide reference plane,and digital elevation model of landslide sliding surface.Calculating landslide volume based on DEM method,the error rate is 0.96;3、Based on the comprehensive analysis of landslide scale,slope,aspect,and profile data,the intensity of disasters caused by the two landslides is relatively low.The disaster intensity of landslides in Tuanjie Town is slightly greater than that of Pudu River,and the scale of landslides is an important influence factor of landslide intensity.Results show that the image resolution of UAV aerial remote sensing image data is high,and greatly improve the precision of the quantitative study of landslide determination.Established a new method for measurement and calculation of landslide volume by using unmanned aerial vehicle(UAV),realize quantitative extraction of landslide and quantitative analysis of the terrain factor of landslide;The use of UAV aerial photography technology for the determination of landslide can not only effectively reduce the risk of field work,reduce the time and economic cost,through to the landslide area terrain analysis of landslide disaster strength judgment and provide scientific basis for disaster prevention and control measures. |