Abstract
Abstract. With the rapid development of GIS and RS technology, especially in recent years, GIS technology and its software functions have been increasingly mature and enhanced. And with the rapid development of mathematical statistical tools for spatial modeling and simulation, has promoted the widespread application and popularization of quantization in the field of geology. Based on the investigation of field disaster and the construction of spatial database, this paper uses remote sensing image, DEM and GIS technology to obtain the data information of disaster vulnerability analysis, and makes use of the information model to carry out disaster risk assessment mapping.Using ArcGIS software and its spatial data modeling method, the basic data information of the disaster risk mapping process was acquired and processed, and the spatial data simulation tool was used to map the disaster rapidly.
Highlights
GIS rapid mapping technology is an important support tools for emergency decision-making and emergency rescue at the early stage of a disaster
The layer weight values are used to calculate the degree of geological hazard proneness of each cell grid, and based on this calculated value, the degree of proneness of various types of geological disasters in the cell grid is judged, and the geological disaster susceptibility partition level is divided
Using digital methods to carry out disaster-prone zoning maps For the evaluation of the vulnerability of large-scale small-scale area, we use slope unite which is based on the geomorphological analysis to divide it, and use the statistical data to obtain the geomorphic data such as the gradient and slope direction of the area
Summary
GIS rapid mapping technology is an important support tools for emergency decision-making and emergency rescue at the early stage of a disaster. With the continuous promotion of basic geographic information engineering, the use of existing GIS data to produce thematic maps and general maps will have a wide range of applications. Based on the protection of existing and scientific data, How to effectively utilize existing GIS data and adopt efficient and rapid data processing flow to shorten the production cycle and produce high-quality map products has always been a question that the cartographic community has been exploring
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