Volume I-4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 23-27, 2012
https://doi.org/10.5194/isprsannals-I-4-23-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 23-27, 2012
https://doi.org/10.5194/isprsannals-I-4-23-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Jul 2012

16 Jul 2012

WEB-BASED DELIVERY SYSTEM FOR DISASTER PREVENTION INFORMATION USING A NEW JMA DPI XML FORMAT AND AMEDAS DATA

M. Nishio and M. Mori M. Nishio and M. Mori
  • Kinki University School of Humanity-Oriented Science and Engineering, Kayanomori, Iizuka city, Japan

Keywords: JMA XML format, GIS, web-based, Google Maps, Open Source Software, Disaster prevention

Abstract. The Automated Meteorological Data Acquisition System (AMeDAS) Data is used along with compound disaster information for a geographic information system (GIS) by integration into the Japan Meteorological Agency (JMA) disaster prevention information XML data. A JMA XML format is a next generation format that contains weather warnings, tsunami warnings, and earthquake information, etc. However, it is not possible to process it by reading disaster prevention information XML Data and AMeDAS Data directly to the GIS system. Therefore, development of a program that converts the data structure is important to consolidate a variety of disaster prevention information on the GIS system. Information on escape routes and evacuation sites, etc. were given as points for regional meteorological observation forecasts using AMeDAS Data by disaster prevention information XML data and integrating it where the disaster was generated, giving a range of expansion of damage and a damage level. There are two main aims; the first is to deliver these compound data of disaster prevention information XML data and AMeDAS Data via the Internet. The second aim is to provide GIS files (shapefile format) of these data to such as local governments for their individual analysis. This was furthermore confirmed to enable the construction of a system using WebGIS (Google Maps) and Open Source Software GIS to monitor disaster information at low cost.