Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
Research status and evolution trends of emergency information resource management: based on bibliometric analysis from 2003 to 2022
Q Cheng, S Zhang - International journal of disaster risk reduction, 2023 - Elsevier
As big data and artificial intelligence technologies are being increasingly applied in
emergency management activities, effective information resource management has become …
emergency management activities, effective information resource management has become …
Risk Assessment and map** of flash flood vulnerable zones in Arid Region, Fujairah City, UAE-using remote sensing and GIS-based analysis
A flash flood is the most common natural hazard that endangers people's lives, the
economy, and infrastructure. Watershed management and planning are essential for …
economy, and infrastructure. Watershed management and planning are essential for …
[HTML][HTML] How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
Natural language texts, such as tweets and news, contain a vast amount of geospatial
information, which can be extracted by first recognizing toponyms in texts (toponym …
information, which can be extracted by first recognizing toponyms in texts (toponym …
Geospatial-based analytical hierarchy process (AHP) and weighted product model (WPM) techniques for map** and assessing flood susceptibility in the Wadi …
This paper aimed to map areas prone to flooding in the Wadi Hanifah drainage basin
located in the Riyadh region, and identify the most important factors that contribute to …
located in the Riyadh region, and identify the most important factors that contribute to …
[HTML][HTML] Flood susceptibility map** using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model
Flash floods (FFs) are amongst the most devastating hazards in arid regions in response to
climate change and can cause the loss of agricultural land, human lives and infrastructure …
climate change and can cause the loss of agricultural land, human lives and infrastructure …
A validation of satellite derived cyanobacteria detections with state reported events and recreation advisories across US lakes
Cyanobacteria harmful algal blooms (cyanoHABs) negatively affect ecological, human, and
animal health. Traditional methods of validating satellite algorithms with data from water …
animal health. Traditional methods of validating satellite algorithms with data from water …
[HTML][HTML] Spatial distribution of natural hazards and their proximity to heritage sites: Case of the United Arab Emirates
MM Yagoub, AA Al Yammahi - International Journal of Disaster Risk …, 2022 - Elsevier
Abstract The United Nations Educational Scientific and Cultural Organization (UNESCO)
investigated World Heritage sites and listed some in the United Arab Emirates (UAE) …
investigated World Heritage sites and listed some in the United Arab Emirates (UAE) …
Flood vulnerability map** and urban sprawl suitability using FR, LR, and SVM models
Floods are among the most destructive disasters because they cause immense damage to
human life, property (land and buildings), and resources. They also slow down a country's …
human life, property (land and buildings), and resources. They also slow down a country's …
Reliability of GPM IMERG Satellite Precipitation Data for Modelling Flash Flood Events in Selected Watersheds in the UAE
Arid regions are prone to unprecedented extreme rainfall events that often result in severe
flash floods. Using near-real-time precipitation data in hydrological modelling can aid in …
flash floods. Using near-real-time precipitation data in hydrological modelling can aid in …