1 Landslides and Spatio-Temporal Processing 2 of Geographical Information 3 Raffaele De Amicis, Federico Prandi, Giuseppe Conti, Diego Taglioni, 4 Stefano Piffer, Marco Calderan, and Alberto Debiasi 5 Abstract 6 This paper presents the first relevant results of the project BRISEIDE – BRIdging SErvices, 7 Information and Data for Europe. BRISEIDE aims at providing operators with a time-aware 8 extension of data models and value added services for spatio-temporal data management, 9 authoring, processing, analysis and interactive visualization in several emergency-related 10 scenarios including, most notably, landslides. Within this context a number of WPSs devoted 11 to spatial analysis have been developed and integrated within existing open source 12 frameworks. Spatio-temporal processing services are exposed via the web and are made 13 available through compatible WebGIS applications. Through BRISEIDE, operators can 14 access processing services through an interactive web-based 3D GeoBrowser capable to 15 allow management, authoring, interaction, filtering of existing data. The 3D GeoBrowser 16 allows interactive orchestration of spatio-temporal WPSs providing support to chaining of 17 required processing units. This ensures interactive access to datasets and asynchronous 18 processing at the server side. The project mobilizes a value-chain of stakeholders to validate 19 the pilots from a technical, organizational and legal standpoint. 20 Keywords 21 Simulation  Spatio-temporal analysis  GIS  SDI  3D geobrowser Introduction Operators of civil protection agencies and other Public Administrations (PAs) involved in environmental monitoring and management need to access complex spatio-temporal processing features based on Geographic Information (GI). These functionalities should be designed to fit their operational workflow to better support them in terms of decision-making, planning, training as well as in case of emergency. This requires accessing and filtering of GI that refer to a given spatial location through tools capable to match both the temporal coverage of interest as well as the required temporal resolution. In fact monitoring and mitigation of natural disasters often requires using geospatial technologies typically through client–server infrastructures known as Spatial Data Infrastructures (SDIs). From a technical standpoint, SDIs are often deployed through a federation of interoperable web- services capable to ensure provision of geospatial informa- tion through the network, from either a GIS or WebGIS software. However SDIs typically fall short when operators are required to deal with frequently updated repositories and highly dynamic data. This is typically the case of operators dealing with landslides who need to gain situation awareness and knowl- edge both in terms of real-time data (from sensor networks and monitoring systems) as well as in terms of previously available information regarding the history of displacements of the site. It is particularly important for operators to able access data repositories, usually available through various sources, R. De Amicis (*)  F. Prandi  G. Conti  D. Taglioni  S. Piffer  M. Calderan  A. Debiasi Fondazione AU1 Graphitech, Trento, Italy C. Margottini et al. (eds.), Landslide Science and Practice , Vol. 3, DOI 10.1007/978-3-642-31310-3_59, # Springer-Verlag Berlin Heidelberg 2013 429