TY - JOUR
T1 - Trend of LiDAR utilization in disaster resilience
T2 - 18th International Conference on Quality in Research, QiR 2023
AU - Rohmah, Lailatul
AU - Mushfiroh, Arini
AU - Gamal, Ahmad
N1 - Publisher Copyright:
© 2024 Author(s).
PY - 2024/11/25
Y1 - 2024/11/25
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85212182311&partnerID=8YFLogxK
U2 - 10.1063/5.0235586
DO - 10.1063/5.0235586
M3 - Conference article
AN - SCOPUS:85212182311
SN - 0094-243X
VL - 3215
JO - AIP Conference Proceedings
JF - AIP Conference Proceedings
IS - 1
M1 - 030002
Y2 - 23 October 2023 through 25 October 2023
ER -