• Digital coast: a scientific proposal for it- based research in coastal regions for the next decade 

  Oliveira, A. (2022-09)

  This document corresponds to the Research Program and associated Post-Graduation Program elaborated by the author in the scope of the process of certification for the functions of coordination of scientific research, ...
• Automatic identification of the wave runup line from camera images 

  Martins, R.; Azevedo, A.; Jesus, G.; Oliveira, A.; Fortunato, A. B.; Oliveira , F.; Nahon, A.; Freire, P. (LNEC, 2022-06)

  We propose a novel methodology for an automated coastline runup detection from high-resolution remote camera images. As part of a multi-source integrated flood risk assessment platform, this methodology will further ...
• Model-driven engineering techniques and tools for machine learning-enabled IoT applications: a scoping review 

  Korani, Z.; Moin, A.; Silva, A.; Ferreira, J. (MDPI, 2023-01)

  This paper reviews the literature on model-driven engineering (MDE) tools and languages for the internet of things (IoT). Due to the abundance of big data in the IoT, data analytics and machine learning (DAML) techniques ...
• Enhancing a coastal territorial vulnerability index: anticipating the impacts of coastal flooding with a local scale approach 

  Barros, J.; Tavares, A.; Santos, P.; Freire, P. (Taylor & Francis, 2022-08)

  The coastal zone of mainland Portugal is characterized by its morpho-sedimentary diversity such as estuaries, lagoons, barrier islands, beaches, dunes and cliffs. The high population density and the multiplicity of ...
• A reliable monitoring approach of floods in small and high slope watersheds 

  Jesus, G.; Oliveira, A.; Rogeiro, J.; Rodrigues, R.; Fernandes, J. N. (IAHR, 2022-07)

  An implementation to instantiate a dependable data quality-oriented methodology in the Vinhas Creek monitoring network is presented herein. Redundancy was taken as a core aspect of network reliability. In this instantiation, ...
• An Hybrid Methodology for Integrated Flood Forecasting from the Watershed to the Sea 

  Oliveira, A.; Jesus, G.; Rogeiro, J.; Fernandes, J. N.; Rodrigues, R. (IAHR, 2022-07)

  Flood forecasting in small watersheds is a complex problem, given the stringent time scales to convey accurate alerts in due time and small spatial scales for both atmospheric and water basin domain prediction. The ...
• A multi-hazard WebGIS platform to share coastal observatories data and model predictions 

  Oliveira, A.; Rocha, M.; Jesus, G.; Fortunato, A. B.; Nahon, A.; Rogeiro, J.; Freire, P. (IAHR, 2022-09)

  The adequate emergency and risk management of flood and erosion in coastal areas requires a combination of comprehensive monitoring networks, accurate prediction tools and information platforms that can convey data ...
• Mapping coastal overtopping in the shadow of large ebb-tidal deltas with XBeach surfbeat: insights from the western coast of Portugal 

  Nahon, A.; Fortunato, A. B.; Oliveira , F.; Freire, P. (EGU, 2022-05)

  The exposure to wave overtopping is growing worldwide which forces coastal communities to adopt methodologies for anticipating the risks associated with it. In areas with shallow foreshores, like those created by extended ...
• A dependability framework for WSN-based aquatic monitoring systems 

  Jesus, G. (2019-11)

  Wireless Sensor Networks (WSN) are being progressively used in several application areas, particularly to collect data and monitor physical processes. Moreover, sensor nodes used in environmental monitoring applications, ...
• Multispectral Optical Remote Sensing for Water-Leak Detection 

  Krapez, J.-C.; Sanchis Muñoz J; Mazel, C.; Chatelard, C; Déliot, P.; Frédéric, Y.-M.; Barillot,P.; Hélias, F.; Barba Polo J; Olichon,V.; Serra, G.; Brignolles, C.; Carvalho, A.; Carreira, D.; Oliveira, A.; Alves, E.; Fortunato, A. B.; Azevedo, A.; Benetazzo, P.; Bertoni, A.; Le Goff, I. (MPDI, 2022-01)

  Water losses from water distribution means have a high environmental impact in terms of natural resource depletion (water, energy, ecosystems). This work aims to develop an optical airborne surveillance service for the ...
• Systematic Failure Detection and Correction in Environmental Monitoring Systems 

  Jesus, G.; Oliveira, A.; Casimiro, A. (International Frequency Sensor Association Publishing, 2021-10)

  Sensor networks used in environmental monitoring applications are subject to harsh environmental conditions and hence are prone to experience failures in its measurements. Comparing to the common task of outlier detection ...
• Forecasting contrasting coastal and estuarine hydrodynamics with OPENCoastS 

  Oliveira, A.; Fortunato, A. B.; Rodrigues, M.; Azevedo, A.; Rogeiro, J.; Bernardo, S.; Lauvaud, L.; Bertin, X.; Nahon, A.; Jesus, G.; Rocha, M.; Lopes, P. (Elsevier, 2021-09)

  Robust and accurate coastal forecasts require models to represent the relevant processes, prediction computa-tional tools and reliable computational resources. OPENCoastS is a free, open-source WebGIS platform to develop ...
• Resccue raf app – using technology to mitigate climate change urban impacts 

  Lopes, P.; Oliveira, A.; Pereira, C.; Brito, R.; Cardoso, M. A.; Martins, R.; David, M.; Gomes, J.; Pina, J. (LNEC, 2020-10)

  Climate Change (CC) is nowadays one of the most important concerns for urban management. Given its scalability, technology can take an important role to help city managers identify and mitigate specific CC-related problems. ...
• Data management plan for the MOSAIC.pt project 

  Oliveira, A.; Freire, P. (2020-10)

  This document presents the Data Management Plan (DMP) for the MOSAIC.pt project. MOSAIC.pt has chosen to participate in the Open Research Data pilot from FCT. Following the recommendations provided by the European ...
• Sinergea–Sistema inteligente para apoio ao uso eficiente de recursos e à gestão de emergências de inundação e de contaminação balnear em cidades costeiras 

  Soares, A.; Rodrigues, H.; Nunes, J.; Oliveira, A.; David, L. M.; Rodrigues, M.; Jesus, G.; Fortunato, A. B.; Pinto, A.; Rogeiro, J.; Mendes, A.; Matos, J. S.; Santos Ferreira, F.; Barreiro, J.; Neves, R.; Palma, J.; Palma, J.; Guillen, F.; Cravo, A.; Jacob, J.; Nunes, L. M.; Martins, A.; Freire, J.; Silva, O.; Silva, N.; Ataíde, A.; Barreto, S.; Batalha, P.; Claro, A.; André, F. (2020-04)

  O projeto de I&D SINERGEA visa criar uma plataforma inteligente e inovadora de suporte à gestão integrada e otimizada da energia, da qualidade da água balnear e da inundação em cidades costeiras. Enquadrada no paradigma ...
• OpencoastS: an open-access service for the automatic generation of coastal forecast systems 

  Oliveira, A.; Fortunato, A. B.; Rogeiro, J.; Teixeira, J.; Azevedo, A.; Lauvaud, L.; Bertin, X.; Gomes, J.; David, M.; Pina, J.; Rodrigues, M.; Lopes, P. (Elsevier, 2020-02)

  Coastal forecast systems are used for many purposes, including harbor management, search and rescue operations, and response to extreme events. However, the generation and operation of these systems is timeconsuming, requires ...
• AQUAMON – A dependable monitoring platform based on wireless sensor networks for water environments 

  Casimiro, A.; Cecílio, J.; Ferreira, P.; Oliveira, A.; Freire, P.; Rodrigues, M.; Almeida, L. (fcul, 2019-09)

  Continuous monitoring of aquatic environments using water sensors is important for several applications related to aquaculture and/or water resources management, as well as for recreational activities. Since sensors are ...
• Dependable outlier detection in harsh environments monitoring systems 

  Jesus, G.; Casimiro, A.; Oliveira, A. (Springer, 2018-08-21)

  Environmental monitoring systems are composed by sensor networks deployed in uncertain and harsh conditions, vulnerable to external disturbances, posing challenges to the comprehensive system characterization and modelling. ...
• Running high resolution coastal models in forecast systems: moving from workstations and hpc cluster to cloud resources 

  Rogeiro, J.; Rodrigues, M.; Azevedo, A.; Oliveira, A.; Martins, J.; David, M.; Pina, J.; Dias, N.; Gomes, J. (Elsevier, 2018-03-11)

  Computational forecast systems (CFS) are essential modelling tools for coastal management by providing water dynamics predictions. Nowadays CFS are processed in dedicated workstations, fulfilling quality control through ...
• Plataforma interativa e integradora para gestão do risco de inundação costeira 

  Oliveira, A.; Fortunato, A. B.; Freire, P.; Rogeiro, J.; Azevedo, A.; Rodrigues, M.; David, L.; Alves, E.; Mendes, A.; Teixeira, J. (APRH, 2018-03)

  Apresenta-se uma plataforma WebSIG para suporte à gestão do risco de inundação, aplicável do rio até ao oceano, incluindo a dimensão urbana. Permitindo o acesso diferenciado e produtos customizados para vários utilizadores, ...

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