Article
Environmental Sciences
Annett Wania, Ines Joubert-Boitat, Francesco Dottori, Milan Kalas, Peter Salamon
Summary: Linking the European Flood Awareness System with on-demand Rapid Mapping module can improve the timeliness of flood impact information delivery.
Article
Engineering, Electrical & Electronic
Christian Krullikowski, Candace Chow, Marc Wieland, Sandro Martinis, Bernhard Bauer-Marschallinger, Florian Roth, Patrick Matgen, Marco Chini, Renaud Hostache, Yu Li, Peter Salamon
Summary: The Global Flood Monitoring (GFM) system provides global flood extent masks and flood information based on Sentinel-1 SAR images. It combines three flood mapping algorithms to generate an ensemble likelihood product. The system harmonizes the flood likelihoods from different algorithms and evaluates its performance in Myanmar and Somalia, demonstrating its robustness and ability to mitigate false detections.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Studies
Marta Borowska-Stefanska, Lenka Balazovicova, Krzysztof Goniewicz, Michal Kowalski, Paulina Kurzyk, Matej Masny, Szymon Wisniewski, Michaela Zoncova, Amir Khorram-Manesh
Summary: This study analyzes the effectiveness of self-evacuation activities by private vehicle transport from flood hazard areas in minimizing the negative effects of flooding. The research finds that the shortest or fastest routes may not always be the most optimal during a flood, and evacuation planning can improve the efficiency of the process. Therefore, creating appropriate evacuation plans is crucial for ensuring people's safety.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Agronomy
De Petris Samuele, Ghilardi Federica, Sarvia Filippo, Borgogno-Mondino Enrico
Summary: This study aims to evaluate the flood event occurred on 3rd October 2020 in NW Italy along the Sesia river, with a particular focus on damages affecting rice crop fields. A method was proposed to detect flooded areas and estimate water depth using Copernicus data and digital terrain model. The study provides valuable information for estimating potential economic loss.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Business
Helen Thompson-Whiteside, Judith Fletcher-Brown, Karen Middleton, Sarah Turnbull
Summary: Marketing scholars are using the concept of emergence to understand the instability of the world. This study examines the emergence of a new online network formed to address the disruptions caused by Covid-19 and enriches the understanding of how emergence unfolds. The findings highlight the rapid formation of a new network and the early emergence of a proto-institution as actors stabilize the network. The shared conception of vulnerability among the actors drives their initial interactions and sustains the network.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Environmental Sciences
Juval Cohen, Kirsikka Heinila, Mikko Huokuna, Sari Metsamaki, Jyri Heilimo, Mikko Sane
Summary: Space-borne remote sensing techniques have facilitated the real-time mapping of floods in a cost-efficient manner. In the case of the spring floods in northern Finland in 2018, the FC-FloDA algorithm proved to be the most successful in detecting floods. While the EMS product and the Sentinel-1 interpretation were effective in open areas, they did not perform well in detecting floods in forested areas.
JOURNAL OF FLOOD RISK MANAGEMENT
(2021)
Article
Engineering, Aerospace
Gang Li, Shuren Guo, Jing Lv, Kanglian Zhao, Zehua He
Summary: This paper proposes the architecture of the Global Short Message Communication (GSMC) system based on BDS-3, designing three subtypes of GSMC services to support wide applications in the future. The performance of the GSMC system is analyzed through numerical calculations, and preliminary results show that the requirements of the Global Maritime Distress and Safety System can be fulfilled.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Energy & Fuels
Takuya Nakata, Sinan Chen, Masahide Nakamura
Summary: This study aims to convert rule-based systems into services to support service coordination and the realization of smart services. By designing the Uni-messe architecture and proposing a new event-condition-route (ECR) rule-based system, the study found that Uni-messe can provide services with more functionality and user interface (UI) characteristics, and easily achieve advanced distributed service coordination and context-aware services using rule-based systems.
Article
Computer Science, Information Systems
R. P. Meenaakshi Sundhari, L. Murali, S. Baskar, P. Mohamed Shakeel
Summary: This paper introduces a message dissemination with re-route planning (MDRP) method to address the problem of data and traffic congestion in road-side communication networks, which improves message delivery by selecting neighbors and routing path weight.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2021)
Article
Psychology, Applied
Ana Hernando, Antonio Lucas-Alba, Maria Teresa Blanch, Andres Sebastian Lombas
Summary: This article discusses how to combine pictograms, arrows, and cities in a variable message sign (VMS) to locate temporary events. Through experiments, it was found that the comprehension of generic-arrow messages improved when the landmarks were ordered bottom-up. Additionally, explicit-arrow messages were better understood than generic-arrow messages.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Urban Studies
Mengya Li, Mei-Po Kwan, Jie Chen, Jun Wang, Jie Yin, Dapeng Yu
Summary: EMS plays a crucial role in rescuing victims facing life-threatening illnesses or accidents, but its performance can be affected by various uncertain factors in urban areas. The study shows that flooding can significantly reduce EMS accessibility, with nighttime exhibiting better accessibility than peak daytime hours. Increasing facility richness and road density, while decreasing flood-induced road closures, have a positive impact on EMS accessibility.
Article
Computer Science, Information Systems
Qingli Liu, Rui Li, Mengqian Li
Summary: In order to address the issue of low throughput and energy efficiency caused by the mutual restriction of energy efficiency and spectral efficiency in massive MIMO systems, as well as the problem of resource allocation not considering user service QoS factors and speed limits, a resource joint optimization method based on user service QoS guarantee is proposed. The method performs user scheduling based on service delay and channel state under equal power distribution conditions, calculates the current system capacity, and redistributes power based on transmit antenna power and service QoS constraints to correct the system capacity. The objective function for joint optimization of spectral efficiency and energy efficiency is established. An algorithm combining deep learning and Q learning is used to solve the problem and achieve the goal of joint optimization. Simulation results show that the proposed joint optimization method can control the timeout of user data packets more finely and achieve higher energy efficiency and throughput at the same time.
Article
Computer Science, Information Systems
Alberto Vavassori, Daniela Carrion, Benito Zaragozi, Federica Migliaccio
Summary: This paper proposes a flood mapping procedure that integrates VGI and optical satellite imagery, achieving promising results through testing with shared photos and videos from social media. The research results demonstrate that the integration of high-quality VGI data and semi-automatic data processing can be beneficial for crisis map production and validation, supporting up-to-date maps for crisis management.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
J. J. Major, K. R. Spicer, A. R. Mosbrucker
Summary: The cataclysmic eruption of Mount St. Helens in 1980 drastically changed the upper North Fork Toutle River valley, leading to the formation of a new channel system. Flood events from 1996 to 2015 have shown that the effectiveness of floods in this environment is influenced by both geomorphic and environmental factors. Strong coupling, local geologic and hydraulic conditions, event sequencing, and possibly a longitudinal gradient in stream power are important factors affecting event effectiveness on channel modification.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Jerome Maxant, Remi Braun, Mathilde Caspard, Stephen Clandillon
Summary: This article discusses the challenges of rapid mapping of disasters using satellite imagery and the application of automated algorithms in detecting and mapping crisis information. The use of automated algorithms allows for faster processing, but validation and correction by expert operators is necessary to ensure the quality of the crisis information.
Article
Remote Sensing
Samuele De Petris, Piero Boccardo, Enrico Borgogno-Mondino
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2019)
Article
Environmental Sciences
Paola ' Mazzoglio, Francesco Laio, Simone Balbo, Piero Boccardo, Franca Disabato
Article
Multidisciplinary Sciences
Luca Rossi, Andrea Ajmar, Marina Paolanti, Roberto Pierdicca
Summary: Vehicle trajectory prediction is a complex task with challenges such as interactions between vehicles and multimodality. This study proposed new datasets, metrics, and methods to help understand and predict vehicle trajectories. Experimental results showed that generative models performed best in multimodal scenarios.
Proceedings Paper
Engineering, Electrical & Electronic
Andrea Ajmar, Emere Arco, Allegra Eusebio
Summary: This study used data collected by NASA/NOAA VIIRS to construct a global nighttime lights time series from 2012 to 2020, and analyzed the temporal and spatial trends using the multidimensional dataset. The results were correlated with human activities in domains such as light pollution, gas flaring extraction, and armed conflicts. The proposed approach provides valuable insights that are comparable to those based on daily or monthly datasets.
2022 IEEE 21ST MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON 2022)
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Paola Mazzoglio, Andrea Ajmar, Antonio Parodi, Lorenza Bovio, Andrea Parodi, Paolo Pasquali, Jan Martinovic
Summary: The LEXIS project is developing an advanced engineering platform that combines HPC, Cloud solutions, and Big Data to provide detailed rainfall forecasts for early warning systems. By running the WRF model and ERDS system, the project has demonstrated the capability of the platform to improve the accuracy of rainfall predictions.
GEOMATICS AND GEOSPATIAL TECHNOLOGIES, ASITA 2021
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Antonio Parodi, Emanuele Danovaro, James Hawkes, Tiago Quintino, Martina Lagasio, Fabio Delogu, Mirko D'Andrea, Andrea Parodi, Biagio Massimo Sardo, Andrea Ajmar, Paola Mazzoglio, Fabien Brocheton, Laurent Ganne, Ruben J. Garcia-Hernandez, Stephan Hachinger, Mohamad Hayek, Olivier Terzo, Jan Krenek, Jan Martinovic
Summary: The LEXIS Weather and Climate Large-scale Pilot aims to deliver a system for predicting water-food-energy nexus phenomena and their corresponding socio-economic impacts. This system involves multiple layers of models, including global weather and climate models, high-resolution regional weather models, domain-specific application models, and impact models for key decision and policy makers.
COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
G. Mansueto, P. Boccardo, A. Ajmar
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2020, PART IV
(2020)
Proceedings Paper
Computer Science, Information Systems
Thierry Goubier, Andrea Ajmar, Carmine D'Amico, Paul Dubrulle, Susanna Grita, Stephane Louise, Jan Martinovic, Tomas Martinovic, Natalja Rakowsky, Paolo Savio, Danijel Schorlemmer, Alberto Scionti, Olivier Terzo
ADVANCES IN NETWORKED-BASED INFORMATION SYSTEMS, NBIS-2019
(2020)
Proceedings Paper
Computer Science, Software Engineering
Maria A. Brovelli, Piero Boccardo, Gloria Bordogna, Antonio Pepe, Mattia Crespi, Michele Munafo, Francesco Pirotti
FOSS4G 2019 - ACADEMIC TRACK
(2019)
Proceedings Paper
Engineering, Aerospace
Piero Boccardo, Constantin Sandu, Andrea Ajmar, Francesca Perez
2019 9TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST)
(2019)
Article
Geosciences, Multidisciplinary
Andrea Ajmar, Alessandro Annunziato, Piero Boccardo, Fabio Giulio Tonolo, Annett Wania
