Methodology development for landslide susceptibility assessment for
land-use planning based on LiDAR technology
HRZZ IP-2019-04-9900
HRZZ DOK-2020-01-2423
The research within the Croatian Science Foundation scientific LandSlidePlan project deals with new and under-investigated subjects in respect of inventory mapping of small and shallow landslides and presents innovative approaches to scientific research of landslide susceptibility assessment using cutting-edge LiDAR technology for collection of input data. The project has three main scientific goals.
News
Assistant professor Sanja Bernat Gazibara held a poster presentation on a EUROENGEO 2024 conference in Dubrovnik
On a 4th European Regional Conference of IAEG 2024 in Dubrovnik, assistant professor Bernat Gazibara held a poster presentation as a result of LandSlidePlan scientific research.
Journal paper by Sinčić et al. has been published
In Remote Sensing Journal, a scientific paper developed in the scope of the LandSlidePlan project titled „A Comprehensive Comparison of Stable and Unstable Sampling Strategies in Large-Scale Landslide Susceptibility Models Using Machine Learning Methods“ was published.
Four scientific papers published in conference proceedings
Four scientific papers created as a part of the LandSlidePlan project were published in the Proceedings from the 6th Regional Symposium on Landslides in the Adriatic-Balkan Region conference.
Project researchers held three presenations at the 6th ReSyLAB in Belgrade
Three presentations were held at the 6th Regional Symposium on Landslides in the Adriatic-Balkan Region conference about research developed in the framework of LandSlidePlan project.
Scientific paper published in an open access book
In the book Progress in Landslide Research and Technology, Volume 2 Issue 2 (2023), a paper created as part of the LandSlidePlan project was published.
Two scientific papers published in an open access book
In the book Progress in Landslide Research and Technology, Volume 2 Issue 1 (2023), two papers created as part of the LandSlidePlan project were published.