Orthophoto (mosaic of rectified aerial images) of the coastal strip (total or partial), with a resolution generally between 10 and 15 cm above the ground, generated from photogrammetric flights.

Report identifying geological hazards across 166 sectors within the Girona Coastal RSNS Master Plan, describing territorial context, methodology, identification criteria, hazard assessment and recommendations.

This study provides an overview of the last 40 years of use, and in many cases abuse, of natural resources in Catalonia, with proposals for sustainable management.

Methodological report setting theoretical bases, parameters and mapping guidance to incorporate active and recent coastal processes into the 1:25,000 geo-anthropic map, describing morphology, morphodynamics, driving agents and proposed indicators and symbology.

Regular grid model of the emerged coastal strip, with a resolution of 50 cm, which expresses the orthometric altitudes of the terrain with the existing constructions in the territory (buildings, walls and other structures).

Cloud of lidar points (3D) of the emerged coastal strip, with an average density of 15 points/m2.

Line that identifies the limit between the sea water and the emerged surface of the Catalan coast, classified according to the characteristics of the terrain found in each place.

This study analyzes the historical transformation and current situation of the dune landscape in Catalonia.

Regular grid model of the emerged coastal strip, with a 1 meter resolution, which expresses the orthometric altitudes of the terrain, without the elements that may be above it (buildings, vegetation, etc.).

Methodological report defining how to characterize flooding and erosion along the Catalan coast, considering present conditions and climate-change scenarios (SSP2-4.5 and SSP5-8.5). It proposes combining wave and sea-level data (IH Cantabria, CNRM), calculating flood elevation (MM+MA+run-up+SLR), and using the XBeach model (1D/2D) to delineate hazard, alongside an approach to estimate erosion and assess risk in GIS.