Jacinto Estima
Biographic Data
| ID | 9960135 |
|---|---|
| NAME | Jacinto Estima |
| GIVEN NAMES | Jacinto |
| FAMILY NAME | Estima |
| SIGNATURE | ESTIMA J |
| AFFILIATIONS | Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento |
| ORCID | 0000-0001-8837-4637 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Citizen participation in flood risk management
Extreme weather events have become increasingly frequent and severe, with rain-induced floods and inundations remaining the deadliest form of natural disaster. Mitigating their impacts requires tools that support all phases of the flood risk management cycle. The RiverCure Portal (RCP) is a web-based platform with geographic information system capabilities, that integrates the definition of geographic contexts with sensor data and hydrodynamic mo…
A Web GIS Platform to Modeling, Simulate and Analyze Flood Events
Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data curation are paramount in the context of prevention or preparedness. Hence, data display, data management, and articulation with numerical simulation results must occur on GIS platforms. Our research i…
A Novel Deep Learning Approach Using Contextual Embeddings for Toponym Resolution
This article describes a novel approach for toponym resolution with deep neural networks. The proposed approach does not involve matching references in the text against entries in a gazetteer, instead directly predicting geo-spatial coordinates. Multiple inputs are considered in the neural network architecture (e.g., the surrounding words are considered in combination with the toponym to disambiguate), using pre-trained contextual word embeddings…
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, t…
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Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, t…
A Novel Deep Learning Approach Using Contextual Embeddings for Toponym Resolution
This article describes a novel approach for toponym resolution with deep neural networks. The proposed approach does not involve matching references in the text against entries in a gazetteer, instead directly predicting geo-spatial coordinates. Multiple inputs are considered in the neural network architecture (e.g., the surrounding words are considered in combination with the toponym to disambiguate), using pre-trained contextual word embeddings…
A Web GIS Platform to Modeling, Simulate and Analyze Flood Events
Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data curation are paramount in the context of prevention or preparedness. Hence, data display, data management, and articulation with numerical simulation results must occur on GIS platforms. Our research i…
Citizen participation in flood risk management
Extreme weather events have become increasingly frequent and severe, with rain-induced floods and inundations remaining the deadliest form of natural disaster. Mitigating their impacts requires tools that support all phases of the flood risk management cycle. The RiverCure Portal (RCP) is a web-based platform with geographic information system capabilities, that integrates the definition of geographic contexts with sensor data and hydrodynamic mo…
Computer Science (3 works) · Geographic Information Systems Studies (3 works) · Geography (3 works) · Cartography (2 works) · Citizen science (2 works) · Data Management and Algorithms (2 works) · Data science (2 works) · Flood myth (2 works) · Flood Risk Assessment and Management (2 works) · Geographic information system (2 works)