Abstract

AbstractToday, open systems are needed for real time analysis and warnings on geo-hazards and over time can be achieved using Open Source Geographical Information System (GIS)-based platform such as GeoNode which is being contributed to by developers around the world. To develop on an open source platform is a very vital component for better disaster information management as far as spatial data infrastructures are concerned and this would be extremely vital when huge databases are to be created and consulted regularly for city planning at different scales, particularly satellite images and maps of locations. There is a big need for spatially referenced data creation, analysis, and management. Some of the salient points that this research would be able to definitely contribute with GeoNode, being an open source platform, are facilitating the creation, sharing, and collaborative use of geospatial data. The objective is development of an automated natural hazard zonation system with Internet-short message s...

Highlights

  • A warning system capable of disseminating adequate and timely warning to the public is of great value

  • A fully automated hazard warning system consists of hazard classification followed by progressive dissemination of the hazard information

  • This leads to understanding of the digital maps to correlate the information with the functional module, i.e. the knowledge base (KB) housed in the Expert module

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Summary

Introduction

A warning system capable of disseminating adequate and timely warning to the public is of great value. Real time analysis and warnings on geo-hazards can be issued using Open Source Geographical Information System (GIS)-based platform such as GeoNode allowing a graphical user interface (GUI) and which could be contributed to by developers around the world. Some of the salient points that this research would be able to definitely contribute with GeoNode being an open source platform are facilitating the creation, sharing, and collaborative use of geospatial data and benefitting masses by real-time communication (Figure 1). The system is based on open source components GeoServer, GeoNetwork, Django, and GeoExt, elaborated, that provide a platform for sophisticated web browser spatial visualization and analysis Building on this stack, the present work utilizes a map composer and viewer, tools for analysis, and reporting tools which are facilitated by GeoNode. The idea is to create a full featured platform for helping decision-makers compose and share developments with spatial data

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