Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand
J Le Coz, A Patalano, D Collins, NF Guillén… - Journal of …, 2016 - Elsevier
New communication and digital image technologies have enabled the public to produce
large quantities of flood observations and share them through social media. In addition to …
large quantities of flood observations and share them through social media. In addition to …
Crowdsourcing public engagement for urban planning in the global south: methods, challenges and suggestions for future research
Crowdsourcing could potentially have great benefits for the development of sustainable
cities in the Global South (GS), where a growing population and rapid urbanization …
cities in the Global South (GS), where a growing population and rapid urbanization …
EMOCOV: Machine learning for emotion detection, analysis and visualization using COVID-19 tweets
The adversarial impact of the Covid-19 pandemic has created a health crisis globally all
over the world. This unprecedented crisis forced people to lockdown and changed almost …
over the world. This unprecedented crisis forced people to lockdown and changed almost …
Global mapping of citizen science projects for disaster risk reduction
Citizen science for disaster risk reduction (DRR) holds huge promise and has demonstrated
success in advancing scientific knowledge, providing early warning of hazards, and …
success in advancing scientific knowledge, providing early warning of hazards, and …
Utilization of social media in floods assessment using data mining techniques
Floods are among the devastating types of disasters in terms of human life, social and
financial losses. Authoritative data from flood gauges are scarce in arid regions because of …
financial losses. Authoritative data from flood gauges are scarce in arid regions because of …
[HTML][HTML] Are Twitter sentiments during COVID-19 pandemic a critical determinant to predict stock market movements? A machine learning approach
The problem of stock market prediction is a challenging task owing to its complex nature and
the numerous indirect factors at play. The sentiments regarding socio-political issues such …
the numerous indirect factors at play. The sentiments regarding socio-political issues such …
Social media: New perspectives to improve remote sensing for emergency response
Remote sensing is a powerful technology for Earth observation (EO), and it plays an
essential role in many applications, including environmental monitoring, precision …
essential role in many applications, including environmental monitoring, precision …
The future of landscapes and habitats: The regional science contribution to the understanding of geographical space
E Vaz - Habitat International, 2016 - Elsevier
Recent decades have witnessed unprecedented landscape change. Most of these changes
have been brought by human impact on the environment, and excessive exploitation of …
have been brought by human impact on the environment, and excessive exploitation of …
Participatory Mapping for Enhancing Flood Risk Resilient and Sustainable Urban Drainage: A Collaborative Approach for the Genoa Case Study
Planning for resilient cities requires an evidence-based understanding of flood risk and the
involvement of stakeholders and local actors. The paper addresses research developed …
involvement of stakeholders and local actors. The paper addresses research developed …
A methodology for automatic acquisition of flood‐event management information from social media: the flood in Messinia, South Greece, 2016
SG Arapostathis - Information Systems Frontiers, 2021 - Springer
Social network data, utilised as a VGI source, was analysed using the September 2016 flood
event in Messinia, South Greece. The flood event led to damage in the urban and rural …
event in Messinia, South Greece. The flood event led to damage in the urban and rural …