Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

[HTML][HTML] Advancement of remote sensing for soil measurements and applications: A comprehensive review

MI Abdulraheem, W Zhang, S Li, AJ Moshayedi… - Sustainability, 2023 - mdpi.com
Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …

Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane

N Kankanamge, T Yigitcanlar, A Goonetilleke - Telematics and Informatics, 2021 - Elsevier
In recent years, artificial intelligence (AI) is being increasingly utilised in disaster
management activities. The public is engaged with AI in various ways in these activities. For …

Operational and emerging capabilities for surface water flood forecasting

LJ Speight, MD Cranston, CJ White… - Wiley Interdisciplinary …, 2021 - Wiley Online Library
Surface water (or pluvial) flooding is caused by intense rainfall before it enters rivers or
drainage systems. As the climate changes and urban populations grow, the number of …

[HTML][HTML] Space-based earth observations for disaster risk management

G Le Cozannet, M Kervyn, S Russo… - Surveys in …, 2020 - Springer
As space-based Earth observations are delivering a growing amount and variety of data, the
potential of this information to better support disaster risk management is coming into …

Management of humanitarian relief operations using satellite big data analytics: The case of Kerala floods

NP Nagendra, G Narayanamurthy, R Moser - Annals of operations …, 2022 - Springer
Disasters lead to breakdown of established Information and Communication Technology
(ICT) infrastructure. ICT breakdown obstructs the channel to gather real-time last mile …

[HTML][HTML] An artificial intelligence application for post-earthquake damage mapping in Palu, central Sulawesi, Indonesia

M Syifa, PR Kadavi, CW Lee - Sensors, 2019 - mdpi.com
A Mw 7.4 earthquake hit Donggala County, Central Sulawesi Province, Indonesia, on 28
September 2018, triggering a tsunami and liquefaction in Palu City and Donggala. Around …

[HTML][HTML] Geomatic data fusion for 3D tree modeling: The case study of monumental chestnut trees

M Balestra, E Tonelli, A Vitali, C Urbinati, E Frontoni… - Remote Sensing, 2023 - mdpi.com
In recent years, advancements in remote and proximal sensing technology have driven
innovation in environmental and land surveys. The integration of various geomatics devices …

Deep learning-based aerial image segmentation with open data for disaster impact assessment

A Gupta, S Watson, H Yin - Neurocomputing, 2021 - Elsevier
Satellite images are an extremely valuable resource in the aftermath of natural disasters
such as hurricanes and tsunamis where they can be used for risk assessment and disaster …

[HTML][HTML] Digitalization and spatial documentation of post-earthquake temporary housing in Central Italy: An integrated geomatic approach involving UAV and a GIS …

I Tonti, AM Lingua, F Piccinini, R Pierdicca… - Drones, 2023 - mdpi.com
Geoinformation and aerial data collection are essential during post-earthquake emergency
response. This research focuses on the long-lasting spatial impacts of temporary solutions …