Real-time geo-decisional system for risk and disaster management in Madagascar

Climate change is intensifying extreme phenomena, and the world is increasingly vulnerable to a variety of disasters whose impacts are considerable and varied over time, from one place to another and from one community to another. Due to its geographical location, Madagascar is the most cyclone-pron...

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Main Authors: Rakotoarison Tsiorinantenaina René, Hajalalaina Aimé Richard
Format: Article
Language:English
Published: Sciendo 2025-06-01
Series:Reports on Geodesy and Geoinformatics
Subjects:
Online Access:https://doi.org/10.2478/rgg-2025-0002
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author Rakotoarison Tsiorinantenaina René
Hajalalaina Aimé Richard
author_facet Rakotoarison Tsiorinantenaina René
Hajalalaina Aimé Richard
author_sort Rakotoarison Tsiorinantenaina René
collection DOAJ
description Climate change is intensifying extreme phenomena, and the world is increasingly vulnerable to a variety of disasters whose impacts are considerable and varied over time, from one place to another and from one community to another. Due to its geographical location, Madagascar is the most cyclone-prone country in Africa and the ninth most vulnerable country in the world. Almost every year, Madagascar is hit by cyclones, causing loss of life and property for the population. In terms of prevention, Madagascar already has an early warning system to inform the population, but during a crisis, it still lacks a decision support system for rapid, real-time intervention to minimize damage. In this paper, we propose a real-time geo-decision support system based on real-time data integration, real-time ETL and real-time cube building. In the proposed architecture, continuous data ˚ow is required for real-time data integration. The proposed real-time ETL unit is composed of the capitalization of risk analysis experiments to ensure their reusability, as well as the insertion of processing parallelization to optimize the processing time of voluminous data. The real-time SOLAP unit consists of real-time cube formation using a spatial database that stores spatio-temporal data from a given point in time, with query optimization using materialized query technology. Our prototype uses NASA’s weather data streaming service via an API. The ETL is written in a Matlab script and loads the data into a spatial database in Postgresql after processing. A web mapping application queries the constitution of a cube and displays the result for visualization.
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spelling doaj-art-b8efd10282f84b6db0bf23ffd824c9982025-02-10T13:26:09ZengSciendoReports on Geodesy and Geoinformatics2391-81522025-06-01119171310.2478/rgg-2025-0002Real-time geo-decisional system for risk and disaster management in MadagascarRakotoarison Tsiorinantenaina René0Hajalalaina Aimé Richard1School of Management and Technological Innovation, University of Fianarantsoa, Andrainjato, Fianarantsoa, zip code 301, MadagascarSchool of Management and Technological Innovation, University of Fianarantsoa, Andrainjato, Fianarantsoa, zip code 301, MadagascarClimate change is intensifying extreme phenomena, and the world is increasingly vulnerable to a variety of disasters whose impacts are considerable and varied over time, from one place to another and from one community to another. Due to its geographical location, Madagascar is the most cyclone-prone country in Africa and the ninth most vulnerable country in the world. Almost every year, Madagascar is hit by cyclones, causing loss of life and property for the population. In terms of prevention, Madagascar already has an early warning system to inform the population, but during a crisis, it still lacks a decision support system for rapid, real-time intervention to minimize damage. In this paper, we propose a real-time geo-decision support system based on real-time data integration, real-time ETL and real-time cube building. In the proposed architecture, continuous data ˚ow is required for real-time data integration. The proposed real-time ETL unit is composed of the capitalization of risk analysis experiments to ensure their reusability, as well as the insertion of processing parallelization to optimize the processing time of voluminous data. The real-time SOLAP unit consists of real-time cube formation using a spatial database that stores spatio-temporal data from a given point in time, with query optimization using materialized query technology. Our prototype uses NASA’s weather data streaming service via an API. The ETL is written in a Matlab script and loads the data into a spatial database in Postgresql after processing. A web mapping application queries the constitution of a cube and displays the result for visualization.https://doi.org/10.2478/rgg-2025-0002geo-decisionalreal-timeriskdisastermadagascar
spellingShingle Rakotoarison Tsiorinantenaina René
Hajalalaina Aimé Richard
Real-time geo-decisional system for risk and disaster management in Madagascar
Reports on Geodesy and Geoinformatics
geo-decisional
real-time
risk
disaster
madagascar
title Real-time geo-decisional system for risk and disaster management in Madagascar
title_full Real-time geo-decisional system for risk and disaster management in Madagascar
title_fullStr Real-time geo-decisional system for risk and disaster management in Madagascar
title_full_unstemmed Real-time geo-decisional system for risk and disaster management in Madagascar
title_short Real-time geo-decisional system for risk and disaster management in Madagascar
title_sort real time geo decisional system for risk and disaster management in madagascar
topic geo-decisional
real-time
risk
disaster
madagascar
url https://doi.org/10.2478/rgg-2025-0002
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AT hajalalainaaimerichard realtimegeodecisionalsystemforriskanddisastermanagementinmadagascar