The application of remote sensing methods provides useful information that can be used for numerous research. Thus, spatial changes in soil, vegetation, hydrography and such can be analyzed. By analyzing the data obtained by remote sensing methods, high-quality and important data can be obtained for monitoring changes in soil movement caused by landslides. This method provides the possibility of determining the state of the observed space over a longer period of time. Historical aerial imagery has a high level of spatial detail analysis. Comparative analysis of the aerial imagery from the past, recent ones and other surveys can certainly provide information on the trend of ground movement, as well as lead to conclusions for taking specific measures. The present paper gives an example of the analysis of the particular area of the “Umka” landslide based on historical surveys. The “Umka” landslide is located along the right bank of the Sava River near the city of Belgrade, which, with its long-term activity, jeopardizes residential buildings, infrastructure facilities and the population that still lives on it.

In the framework of the project “Mainstreaming Climate Resilience in the Road Transportation Management in Serbia (CliRtheRoads)”, a complex mapping tool was developed to support the Government of Serbia and Public Enterprise Roads of Serbia in climate change adaptation planning and management. The software solution comprises of: a web portal for data entry and management for authorised users; a publicly available web-GIS application; a mobile GIS application; and a back-end database. This paper briefly overviews the system, focusing on the landslide data model. Therein, the main system and software solution breakthrough is automatizing the estimation of investment costs of engineering and non-engineering measures recommended at affected locations along the road network. A retrospective on its applicability and user feedback is also included. The objective was to facilitate seamless road management by providing necessary data in a simple, understandable fashion, indicating which locations on the road network have higher priority. The introduced level of automation allows easier decision-making and investment planning.

The University of Belgrade, Faculty of Mining and Geology has been involved in landslide risk reduction activities at the national, regional, and site-specific levels in Serbia for decades. Since 2011 the Faculty has had several activities closely connected with the International Consortium on Landslides, including the International Programme on Landslides Projects 181, 210 and 248, as well as World Centre of Excellency (WCoE) from 2017. In the past decade the Faculty of Mining and Geology was involved in several national, regional and local projects funded by the People of Japan, UNDP and The World Bank on landslide risk reduction in Serbia, Bosnia and Herzegovina and North Macedonia. They all closely involved many stakeholders from national to local authorities including Ministries, Local Self Governments, Public Enterprises, Emergency Offices and Civil Protection units. In this report, the activities of WCoE for national and local authorities on landslide risk reduction will be presented.

The IPL project No 181 titled “Study of slow moving landslide Umka near Belgrade” started in November 2012. The study area is located on the right bank of Sava River, 25 km south west of Belgrade, Serbia. The basic objective of the Project was to enable the analysis, correlation and synthesis of data obtained from various phases of investigation of Umka landslide after 35 years of research. Apart from this, the analysis of data from monitoring conducted during certain phases of research was compared with data from automated GNSS monitoring over the last six years, although during numerous investigations various research methods were used for research and monitoring. The project was focused on: analysis of previous detail site investigations and field instrumentation from 1990–2005, analysis of aerial photos and orthophoto images from 1957 to 2010, analysis of automated GNSS monitoring results from 2010 to end of the Project and analysis of precipitation and levels of the Sava River. Project beneficiaries are local community and local and regional authorities. In this paper we will present results of the proposed project targets performed by Project participants.