Abstract
Abstract. The display and recognition of geographical features based on KML and Google Earth/Google Maps provide possibilities for the visualization and analysis of earthquake disasters. In this paper, compile and generate the corresponding point and face KML files of the disaster information of Guangxi Zhuang Autonomous Region in January through the Visual Basic custom script. The KML files realize information display, query and analysis in Google Earth,and combine with Arcgis's topography, elevation and image information of feature points to carry out multi-information source analysis and realize the interpretation and analysis of the current situation of earthquakes, which can provide some reference information for the monitoring and evaluation of earthquakes.
Highlights
The Origin of KMLKML (Keyhole Markup Language) is a coding specification developed by Google, based on XML (eXtensible Markup Language) grammar and file format, used to describe and preserve geographic information such as point, line, surface, 3D model, etc[1]
KML (Keyhole Markup Language) is a coding specification developed by Google, based on XML grammar and file format, used to describe and preserve geographic information such as point, line, surface, 3D model, etc[1]
KML #s55151641 1 104.446656694, 20.869762994, 0//(Value 1 entered in the text box of the program interface) 112.055282347, 20.869762994, 0//(Number 2 entered in the text box of the program interface) ...
Summary
KML (Keyhole Markup Language) is a coding specification developed by Google, based on XML (eXtensible Markup Language) grammar and file format, used to describe and preserve geographic information such as point, line, surface, 3D model, etc[1]. KML language has become an international standard.With the rapid development of information industry such as remote sensing and geographic information, the emergence of KML just satisfies the media carrier relationship between computer and satellite images, compresses the original large storage capacity of information into a small capacity and can reflect the information in Google Earth, and improves people's image information processing. It greatly reduces the running memory of the computer. The use of KML to store geospatial data information of terrain objects and the application of XML hypertext markup language to the Google Earth client can provide great convenience for disaster analysis, assessment and prediction
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