Trend of LiDAR utilization in disaster resilience: A literature review

Research on the Geographic Information System (GIS) application in disaster response, prevention, mitigation, and management has been rife since the mid-1990s. Advanced data collection technologies for GIS analysis, such as LiDAR, is becoming increasingly popular. A combined link, time series, and t...

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Bibliographic Details
Main Authors: Rohmah, Lailatul, Mushfiroh, Arini, Gamal, Ahmad
Format: Conference Proceeding
Language:English
Subjects:
Big Data
Data collection
Disasters
Geographic information systems
Lidar
Literature reviews
Remote sensing
Resilience
Search engines
Technology assessment
Trend analysis
Trends
Utilization
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Summary:Research on the Geographic Information System (GIS) application in disaster response, prevention, mitigation, and management has been rife since the mid-1990s. Advanced data collection technologies for GIS analysis, such as LiDAR, is becoming increasingly popular. A combined link, time series, and trend analysis is used in this research to generate a web of keywords rooted in the main three: ‘LiDAR’ ‘GIS’ and ‘Disaster’ and the categorization of themes and trends of research articles published during the past decade from reputable publishers. The Scopus, Copernicus and Google Scholar search engine displays 222 links to a combination of the keywords LiDAR, GIS, and Disaster that explain the utilization of LiDAR together with GIS/remote sensing applications in disaster-related articles. The most relevant 80 documents covering journal articles and working papers were considered for in-depth analysis after selection processes using PRISMA method. The analysis result is then presented clearly in a comprehensive diagram of how from time to time the utilization of LiDAR technology for the four stages of disaster resilience. The results of the analysis also show how the use of LiDAR technology with GIS/Remote sensing applications and their limitations. The result is expected to benefit researchers in identifying research gaps in the topic for further pursuit, also policymakers, administrators, and other relevant stakeholders who oversee implementing required measures both during and after disasters should pay more attention to big data.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0235586