Remote Sensing Techniques for Landslides Studies and Their Hazards Assessment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (24 November 2023) | Viewed by 41045
Special Issue Editor
Special Issue Information
Dear Colleagues,
Landslides can cause extensive property damage and human casualties and thus influence socio-economic conditions in many countries. In recent decades, there has been a significant increase in the frequency of landslides related to climate change and expansion of urbanized areas. The level of risk from landslides depends, among other things, on the distribution and typology of these processes and on the temporal probability of these processes to affect a unit of land. Therefore, a spatial mapping of these processes and the knowledge of their frequency or temporal reactivation would provide valuable information to help us predict the hazard of these geological processes and thus evaluate the associated risks in certain areas.
While it is possible to conduct landslide studies by direct ground observation, data collection in inaccessible and extensive land is time-consuming and expensive and can sometimes be very difficult. Remote sensing images (aerial, satellite or terrestrial) are increasingly used in different landslide investigations, thus allowing the spatial and multi-temporal mapping of these processes, offering detailed monitoring of changes in the ground surface and allowing data to obtain factors to be used in the assessment of landslide hazards.
This Special Issue aims to publish studies covering different applications of remote sensing in landslide investigations. We invite authors to submit research papers and technical notes in the following and other categories of landslide research:
- Identification and inventory of landslides;
- Monitoring of landslide activity;
- Spatial and temporal analysis of different factors to assess landslide hazard mapping.
Prof. Dr. Rachid El Hamdouni
Guest Editor
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Keywords
- UAV, spaceborne and ground-based remote sensing techniques
- landslide inventory mapping
- landslide monitoring
- surface displacement
- landslide early warning
- landslide hazard assessment.
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