2022 | 75/1 | 1–2 | 1 Fig. | www.geologia-croatica.hr Journal of the Croatian Geological Survey and the Croatian Geological Society Dear readers, This issue, 75/1 is mostly dedicated to the environmental impact of landslides, which, due to current climate change, are becoming more and more pronounced around the world and in the Republic of Croatia. The six papers (BOSTJANČIĆ et al., 2022, Fig. 1 poly­ gon 1; FILIPOVIĆ et al., 2022, Fig. 1 polygon 2; FRANGEN et al., 2022, Fig. 1 polygon 3; GULAM et al., 2022, Fig. 1 polygon 4; PODOLSZKI et al., 2022, Fig. 1 polygon 5; POLLAK et al., 2022, Fig. 1 polygon 6) focusing on landslides are the result of the work of a large team of people from the Croatian Geological Sur­ vey, carried out within the framework of the safEarth project, co- financed by the ERDF and IPA II funds of the European Union. As a part of the Interreg IPA – Cross-border Cooperation Programme Croatia – Bosnia and Herzegovina – Montenegro 2014-2020, the safEarth project was based on cross-border coop­ eration of four partner institutions, namely the Croatian Geologi- cal Survey (lead partner), Geological Survey of Montenegro, Faculty of Mining, Geology and Civil Engineering of the Univer­ sity of Tuzla and the Development Agency Žepče d.o.o. The main project activities were focused on landslide susceptibility maps (LSM) as one of the most important data sets in spatial planning The use of high-resolution LiDAR scanning in the research of small landslides based on Croatian examples doi: 10.4154/gc.2022.13 that have not been recognized as such in any of the project part­ ner countries. LSMs show the subdivision of the terrain into zones that have a similar spatial probability of landslide occurrence (CORO­ MINAS et al., 2014). Their derivation is usually based on the principle that the past is a guide to the future, i.e., areas similar to those that have experienced landsliding in the past are likely to experience landsliding in the future (VARNES, 1984). For de­ termination of past landslide activity within a certain area, it is crucial to establish and further analyse the landslide inventory (FELL et al., 2008). The articles presented in this issue represent pioneering at­ tempts at establishing and analysing landslide inventories within six pilot polygons distributed in three Croatian counties, namely Zagreb, Sisak-Moslavina, and Brod-Posavina (Fig. 1). The poly­ gon positioning principle was determined to cover as many geo­ logical units within these counties as possible. The aim was to quantify their landslide susceptibility, which was the general goal for all six of the presented papers. It is crucial to emphasize that all presented landslide inven­ tories are LiDAR-based and derived from a 0.5 m resolution di- Fig. 1 - Spatial distribution of the study polygons on the geological map of the Republic of Croatia M 1: 300.000 (HGI, 2009) G eo lo gi a C ro at ic a Geologia Croatica 75/12 gital terrain model. Additionally, high­resolution orthophoto maps with approximately 10 cm ground sampling distances were also used. The characteristics of the remote data used are de­ scribed in more detail in each of the six presented papers. Still, it is important here to point out that these data cover an area of approximately 310 km2, and that landslide inventories are pre­ pared for the entire scanned area. REFERENCES BOSTJANČIĆ, I., AVANIĆ, R., FRANGEN, T. & PAVIĆ, M. (2022): Spatial distribu­ tion and geometric characteristics of landslides with special reference to geologi­ cal units in the area of Slavonski Brod, Croatia. doi: 10.4154/gc.2022.03 COROMINAS, J., VAN WESTEN, C., FRATTINI, P., CASCINI, L., MALET, J.-P., FOTOPOULOU, S., CATANI, F., VAN DEN EECKHAUT, M., MAVROULI, O., AGLIARDI, F., PITILAKIS, K., WINTER, M.G., PASTOR, M., FERLISI, S., TOFANI, V., HERVA´S, J. & SMITH, J.T. (2014): Recommendations for the quan­ titative analysis of landslide risk.– Bulletin of Engineering Geology and the Envi­ ronment, 73, 209–263. Doi: 10.1007/s10064-013-0538-8 FELL, R., COROMINAS, J., BONNARD, C., CASCINI, L., LEROI, E. & SAVAGE, W.Z. (2008): Guidelines for landslide susceptibility, hazard and risk zoning for land use planning.– Engineering geology, 102/3–4, 85–98. doi: 10.1016/j. enggeo.2008.03.022 FILIPOVIĆ, M., MIŠUR, I., GULAM, V. & HORVAT, M. (2022): A case study in the research polygon in Glina and Dvor municipality, Croatia-landslide susceptibility assessment of geological units. doi: 10.4154/gc.2022.04 FRANGEN, T., PAVIĆ, M., GULAM, V. & KUREČIĆ, T. (2022): Use of LiDAR-de­ rived landslide inventory map in assessing Influencing factors for landslide sus­ ceptibility of geological units in the Petrinja area (Croatia). doi: 10.4154/gc.2022.10 GULAM, V., BOSTJANČIĆ, I., HEĆEJ, N., FILIPOVIĆ, M. & FILJAK, R. (2022): Preliminary analysis of LiDAR-based landslide inventory in the area of Samobor, Croatia. doi: 10.4154/gc.2022.11 PODOLSZKI, L., KUREČIĆ, T., BATESON, L. & SVENNEVIG, K. (2022): Remote landslide mapping, field validation and model development – An example from Kravarsko, Croatia. doi: 10.4154/gc.2022.01 POLLAK, D., HEĆEJ, N. & GRIZELJ, A. (2022): Landslide inventory and characteris­ tics, based on LiDAR scanning and optimised field investigations in the Kutina area, Croatia. doi: 10.4154/gc.2022.02 VARNES, D.J. & IAEG (1984): Landslide Hazard Zonation: A Review of Principles and Practice. UNESCO, Paris, 63 p. Kenan Mandžić, Guest Editor Vlatko Gulam, Guest Editor Lidija Galović, Editor-in-Chief