Scalable Interactive Platform for Geographic Evaluation of Sea-Level Rise Impact Combining High-Performance Computing and WebGIS Client

Abstract

As climate is changing, more applied information on its impacts is required to inform adaptation planning. It is a fact that during the last decade, the amount of information relevant for climate change impact assessment has grown drastically. This can be particularly illustrated in coastal areas, where a most important recent development has been the delivery of precise and accurate topography obtained by LiDAR at regional to national scales. However, these developments have not led to easier assessment of coastal climate change impacts. This is due to both to the complexity of coastal models that also depend on local natural changes and anthropogenic actions and to the difficulty to actually use such large and complex datasets. In this paper, we describe a prototype of web service to quickly communicate spatial information on future flooding along the French coastal zones. We discuss several issues related to data architecture at large scale, on-the-fly (geo)processing capabilities, management of asynchronous workflows and data diffusion strategies in the context of international standards such as INSPIRE (Infrastructure for Spatial Information in Europe). We believe that our flexible architecture, mainly reusing off-the-shelf components is able to improve both complex scenarios analysis for experts and dissemination of these future coastal changes to the general public.

Space-Based Earth Observations for Disaster Risk Management

“…3, characteristics of the built environment can hardly be observed directly, but there are opportunities in valuing indirect proxies, such as local knowledge of building practices or nightlights for assessing post-disaster recovery. Overall, these efforts of the communities concerned by disaster risk reduction are supported by research in the area of geospatial information management (Wilkinson et al 2016) that now allow for interoperable information systems and web services to share data relevant to disaster risks (Douglas et al 2008;Le Cozannet et al 2014;Tellez-Arenas et al 2018). Finally, some major frameworks such as the Sendai Framework (https ://www.unisd r.org/files /43291 _senda ifram ework fordr ren.pdf) highlight on key priorities for reducing disaster risks, including improving the governance of risk management, supporting operational disaster risk management and long-term strategic planning.…”