Yugang Tian

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In order to focus on the serious area affected by earthquakes and other hazards, and to meet the demands of post-disaster reconstruction, the disaster-affected area must be evaluated scientifically. In general, select indicator set firstly, then construct comprehensive disaster index, finally divide the disaster-affected area into different grade zones(More)
Flood risk assessment is of very importance for disaster mitigation, which is complemented by environment stability, hazard statistical and vulnerability possibility. Each factor usually contains a series of indicators and a comprehensive analysis of each factor must be superimposed on the various indicators. The traditional methods on how to determine the(More)
A study of the frequency, intensity, and risk of extreme climatic events or natural hazards is important for assessing the impacts of climate change. Many models have been developed to assess the risk of multiple hazards, however, most of the existing approaches can only model the relative levels of risk. This paper reports the development of a method for(More)
Quantitative estimation of the typhoon rainfall is one of the focus in the typhoon research field. In this paper, in order to improve estimation accuracy in the scope and rainfall, the authors use the cloud classify rainfall forecast model based on edge extraction with multi-attribute typhoon data such as infrared data, water vapor data and temperature of(More)
There are two kinds of filtering methods for airborne LiDAR, one is discrete point cloud based; the other is two-dimension depth images based,the basic idea of which is applying image processing approaches into image segmentation. That is, firstly conversing discrete point cloud data into the twodimension depth image, and then using various methods of image(More)
Indicator-geostatistics based super-resolution mapping (IGSRM) is a popular super-resolution mapping (SRM) method. Unlike most existing SRM methods that produce only one SRM result each, IGSRM generates multiple equally plausible super-resolution realizations (i.e., SRM results). However, multiple super-resolution realizations are not desirable in many(More)
Terrain surfaces can be relatively accurately obtained from light detection and ranging data using leastsquares interpolation. However, the accuracy of the extraction results is low in regions with relatively large terrain undulations, and large buildings and vegetation with large areas and relatively low permeabilities cannot be eliminated. In this letter,(More)
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