DOI: 10.5281/zenodo.15095564
title: BridgET - Santorini Summer School

description: BridgET is an EU project funded by the 2021-2027 ERASMUS+ Key Action 2 programme “KA220-HED Cooperation partnership in Higher Education”. The project aims at addressing a growing demand for highly skilled professionals in the coastal and marine geosciences sector, who can be innovative in the analysis, interpretation and representation of geological and environmental data in 3D. It has been designed to develop innovative and inclusive teaching methods to upgrade key skills and scientific expertise in the field of 3D geological mapping for reliable integration of onshore and offshore multi-scale geospatial datasets. Main goals of BridgET were accomplished with dedicated summer schools for postgraduate students of the six patner universitities, delivered by leading experts from different European universities and companies.

The Santorini Summer School took place in Santorini (Greece), from October 3rd to 14th, 2022. Twenty-three students from the six partner universities attended the program. One highlight of the activities was the data collection on the Red Beach using various techniques to gather multi-sensor data for integration into a land-sea model. However, due to certain limitations during data collection, the provided dataset does not allow for the reconstruction of a seamless model. Nevertheless, it serves as a clear example of the challenges involved in bridging the gap between land and sea, which is not always straightforward or feasible.

This datasets consist of 3 ZIP folders:





Red Beach LiDAR Orthodrone.zip: the dataset includes a high-resolution PC of the Red Beach. The data were collected using a RIEGL miniVUX-1UAV LiDAR mounted on a DJI M300 RTK drone, owned by Orthodrone GmbH. The collected data were processed using RIEGL RiPROCESS and CloudCompare software to generate the PC. The PC is available as a compressed LAZ file (2025-03-25_BridgET_OD_Redbeach_LiDAR_transfm_EPSG_32635.laz). The dataset is available for scientific and teaching purposes under a creative coomons licence (CC BY-NC-SA 4.0 DEED). 





Red Beach UAV UNIMIB.zip: the dataset includes a high-resolution Digital Surface Model (DSM) and the corresponding Point Cloud (PC) of a portion of the western side of the Red Beach shore and cliff. The data were collected using a DJI Spark drone, owned by the University of Milano-Bicocca (UNIMIB).The collected data were processed using Agisoft Metashape software to generate both the DSM and PC. The DSM, with a 1 cm resolution, is provided as an ASCII file (RedBeach_UAV_DSM_1cm.asc), along with its georeferencing file (RedBeach_UAV_DSM_1cm.prj). The PC is available as a compressed LAZ file (RedBeach_UAV_PC.laz). 




Red Beach GeoSLAM UNIMIB: the dataset includes a high-resolution PC of the Red Beach shore. The data were collected using a GeoSLAM laser scanner, owned by the University of Milano-Bicocca (UNIMIB). The collected data were processed using GeoSLAM-specific software to generate the PC. The PC is available as two compressed LAZ file (RedBeach_GeoSLAM_PC1.laz and RedBeach_GeoSLAM_PC2.laz).




Red Beach MBES NKUA: the dataset includes a high-resolution Digital Terrain Model (DTM) and the corresponding PC of the Red Beach offshore surveyed area. This dataset was not collected during the Santorini Summer School due to bad weather, but raw data collected during another campaign were made available from the team of the National and Kapodistrian University of Athens (NKUA). The data were processed using QPS Qimera software to generate both the DTM and PC. The DTM, with a 1 m resolution, is provided as an ASCII file (RedBeach_MBES_DTM_1m.asc) along with its georeferencing file (RedBeach_MBES_DTM_1m.prj). The PC is available as a text file (RedBeach_MBES_PC.txt).