Geospatial data system architecture for disaster risk management

Ever Enrique Castillo Osorio, Bashir Hayat, Kyong Hoon Kim, Ki Il Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Currently, raster information taken for satellite sensors are highly necessary in activities related to disaster risk management. However, the images that come from satellites of polar orbit still present a low temporal resolution and the images that come from satellites of geostationary orbit have a low spatial resolution. Therefore, these limitations affect the processes of analysis of geographic information in the systems and search and rescue activities are not feasible to perform at the required time. Therefore, it is required to introduce new technology to improve disaster risk management by providing coarse and multi-view images. To achieve this, satellite images, aerial photographs captured from airplanes and UAVs, data collected by ground wireless sensor networks and cartographic information are integrated using a new-layered architecture. In this paper, we present a proposal methodology for processing raster information and their integration in an informatics architecture under the concept of data mart that allows the collection and storage for timely distribution of raster and vector geospatial data from different sources. Stakeholders can access to specific data and using this for activities of search and rescue actions of vulnerable population affected by natural disasters.

Original languageEnglish
Pages (from-to)39-52
Number of pages14
JournalInternational Journal of Grid and Distributed Computing
Volume10
Issue number12
DOIs
StatePublished - 2017

Keywords

  • Geographic information system
  • Satellite image processing
  • Spatial database
  • System architecture

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