GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASES
<p>The study aims to develop GIS technology for managing pathogen contamination disaster situations to cope with the occurrence of disaster situations caused by the climate crisis. This study was conducted in a situation where the budgets of institutions with many emergency rescue workers are...
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Format: | Article |
Language: | English |
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Copernicus Publications
2023-06-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W7-2023/217/2023/isprs-archives-XLVIII-4-W7-2023-217-2023.pdf |
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author | S. J. Son M. Y. Lee J. H. Kim S. H. Cho |
author_facet | S. J. Son M. Y. Lee J. H. Kim S. H. Cho |
author_sort | S. J. Son |
collection | DOAJ |
description | <p>The study aims to develop GIS technology for managing pathogen contamination disaster situations to cope with the occurrence of disaster situations caused by the climate crisis. This study was conducted in a situation where the budgets of institutions with many emergency rescue workers are being invested worldwide, and there are various risks such as water pollution due to climate change, so it is necessary to develop technologies to respond to them.</p><p>In this study, methods and technical means for emergency response to pathogen contamination were prepared through professional analysis results based on spatial information, and rapid and accurate pathogen detection, situation recognition, event control and response methods, risk assessment and epidemiological investigation methods, and technologies were developed.</p><p>Technological means include collecting and analyzing water quality data using satellites and drones, and evaluating the severity and degree of water pollution using social media data and photos. Through these technologies, a GIS platform that can effectively manage and provide data sources, data collection, interoperability, data harmonization, data management, and data processing is established, and commercialization is aimed at real users and field-oriented. These technology developments enable rapid response and response in disaster situations, and can reduce threats to life and safety.</p> |
first_indexed | 2024-03-13T03:49:30Z |
format | Article |
id | doaj.art-1c3af66d799040b9b42ab0db09189bdb |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-03-13T03:49:30Z |
publishDate | 2023-06-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-1c3af66d799040b9b42ab0db09189bdb2023-06-22T16:54:21ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-06-01XLVIII-4-W7-202321722210.5194/isprs-archives-XLVIII-4-W7-2023-217-2023GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASESS. J. Son0M. Y. Lee1J. H. Kim2S. H. Cho3Sundosoft Seoul, Republic of KoreaSundosoft Seoul, Republic of KoreaSundosoft Seoul, Republic of KoreaSundosoft Seoul, Republic of Korea<p>The study aims to develop GIS technology for managing pathogen contamination disaster situations to cope with the occurrence of disaster situations caused by the climate crisis. This study was conducted in a situation where the budgets of institutions with many emergency rescue workers are being invested worldwide, and there are various risks such as water pollution due to climate change, so it is necessary to develop technologies to respond to them.</p><p>In this study, methods and technical means for emergency response to pathogen contamination were prepared through professional analysis results based on spatial information, and rapid and accurate pathogen detection, situation recognition, event control and response methods, risk assessment and epidemiological investigation methods, and technologies were developed.</p><p>Technological means include collecting and analyzing water quality data using satellites and drones, and evaluating the severity and degree of water pollution using social media data and photos. Through these technologies, a GIS platform that can effectively manage and provide data sources, data collection, interoperability, data harmonization, data management, and data processing is established, and commercialization is aimed at real users and field-oriented. These technology developments enable rapid response and response in disaster situations, and can reduce threats to life and safety.</p>https://isprs-archives.copernicus.org/articles/XLVIII-4-W7-2023/217/2023/isprs-archives-XLVIII-4-W7-2023-217-2023.pdf |
spellingShingle | S. J. Son M. Y. Lee J. H. Kim S. H. Cho GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASES |
title_full | GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASES |
title_fullStr | GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASES |
title_full_unstemmed | GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASES |
title_short | GIS-BASED INTELLIGENT DECISION-MAKING SUPPORT SYSTEM FOR THE DISASTER RESPONSE OF INFECTIOUS DISEASES |
title_sort | gis based intelligent decision making support system for the disaster response of infectious diseases |
url | https://isprs-archives.copernicus.org/articles/XLVIII-4-W7-2023/217/2023/isprs-archives-XLVIII-4-W7-2023-217-2023.pdf |
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