[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography

P Liu, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …

The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects

SA Shah, DZ Seker, S Hameed, D Draheim - IEEE Access, 2019 - ieeexplore.ieee.org
The recent development of big data analytics (BDA) and the Internet of Things (IoT)
technologies create a huge opportunity for both disaster management systems and disaster …

[HTML][HTML] Automatic identification of eyewitness messages on twitter during disasters

K Zahra, M Imran, FO Ostermann - Information processing & management, 2020 - Elsevier
Social media platforms such as Twitter provide convenient ways to share and consume
important information during disasters and emergencies. Information from bystanders and …

Challenges in the adoption of crisis crowdsourcing and social media in Canadian emergency management

S Harrison, P Johnson - Government Information Quarterly, 2019 - Elsevier
When a disaster occurs, government agencies are responsible for managing the response
and recovery efforts of the impacted communities and infrastructure. Crowdsourcing and …

Social media use in emergency response to natural disasters: a systematic review with a public health perspective

K Muniz-Rodriguez, SK Ofori, LC Bayliss… - Disaster medicine and …, 2020 - cambridge.org
Social media research during natural disasters has been presented as a tool to guide
response and relief efforts in the disciplines of geography and computer sciences. This …

Natural disaster application on big data and machine learning: A review

RR Arinta, EA WR - 2019 4th International Conference on …, 2019 - ieeexplore.ieee.org
Natural disasters are events that are difficult to avoid. There are several ways of reducing the
risks of natural disasters. One of them is implementing disaster reduction programs. There …

A survey of multiple types of text summarization with their satellite contents based on swarm intelligence optimization algorithms

MA Mosa, AS Anwar, A Hamouda - Knowledge-Based Systems, 2019 - Elsevier
Due to the tremendous increment of data on the web, extracting the most important data as a
conceptual brief would be valuable for certain users. Therefore, there is a massive …

[HTML][HTML] Research on lightweight disaster classification based on high-resolution remote sensing images

J Yuan, X Ma, G Han, S Li, W Gong - Remote Sensing, 2022 - mdpi.com
With the increasing frequency of natural disasters becoming, it is very important to classify
and identify disasters. We propose a lightweight disaster classification model, which has …

[HTML][HTML] Geolocating tweets via spatial inspection of information inferred from tweet meta-fields

M Zohar - International Journal of Applied Earth Observation and …, 2021 - Elsevier
In the last 10, years the Twitter social network has become a robust messaging platform. To
date, Twitter has more than 500 million users worldwide. A given tweet can contain the …

Unpacking the role of volunteered geographic information in disaster management: focus on data quality

M Tavra, A Lisec, M Galešić Divić… - … , Natural Hazards and …, 2024 - Taylor & Francis
The increasing occurrence of disasters worldwide has motivated researchers to
continuously evaluate potential technological advances to support disaster management …