Abstract
Landslides have caused substantial economic loss, infrastructural damage, and threatened lives and human shelter in Western Area, Sierra Leone (Africa), requiring effective mitigations. Landslide susceptibility (LS) mapping is one effective and foremost step in reducing landslide disaster as it provides vital information to the local authority for land use planning and management in the future. A set of controlling factors and landslide inventory (LI) are typically used to generate LS. Thus, the LS accuracy can be affected by the LI availability and its source and timespan. Here, the impact of LI from two sources and timespans on the accuracy of LS is analyzed. The LIs are the archived inventory (archived-LI) and small baseline subset (SBAS) interferometry inventory (SBAS-LI). The former LI consisted of landslide events from 1945 to 2014. The latter was acquired by analyzing the ground deformation with multi-temporal Sentinel-1 SAR datasets and covered between 2015 and 2017. Eleven landslide controlling factors after multicollinearity diagnostics were selected. With the controlling factors in a GIS-based environment, the frequency ratio (FR) model is applied to both LIs and the factors, generating two LS maps. Each map accuracy was validated using recent landslides from 2017 to 2020. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was 0.739 and 0.898 for the LS from the archived-LI and SBAS-LI, respectively. The degree-of-fit index of 61.7% for the LS from the archived-LI and 80.8% from the SBAS-LI was obtained. The SBAS-LI produced more reflective present LS and possibly for future susceptibility even though the number of events in the modeling was about one-third of that in the archived-LI. Thus, the current LI is preferred for LS analysis.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.