Geospatial Modeling based-multi-criteria decision-making for flash flood susceptibility zonation in an arid area

M Shawky, QK Hassan - Remote Sensing, 2023 - mdpi.com
Identifying areas susceptible to flash flood hazards is essential to mitigating their negative
impacts, particularly in arid regions. For example, in southeastern Sinai, the Egyptian …

Examining Community Vulnerabilities through multi-scale geospatial analysis of social media activity during Hurricane Irma

AM Forati, R Ghose - International Journal of Disaster Risk Reduction, 2022 - Elsevier
Natural disasters may cause a substantial but spatially uneven increase in online activity
among users in disaster zones seeking food, shelter, and medical assistance through social …

Reconstructing flood inundation probability by enhancing near real-time imagery with real-time gauges and tweets

X Huang, C Wang, Z Li - IEEE Transactions on Geoscience and …, 2018 - ieeexplore.ieee.org
Flood inundation probability is critical for situation awareness, flood mitigation, emergency
response, and postevent damage assessment. Current flood inundation mapping …

Identifying relevant volunteered geographic information about adverse weather events in Trondheim using the CitizenSensing participatory system

T Opach, C Navarra, JK Rød, TS Neset… - … and Planning B …, 2023 - journals.sagepub.com
The study set out to investigate how the experience of creating a map-based participatory
system might help identify what is needed to support the production of relevant volunteered …

Estimation of wastewater discharges by means of OpenStreetMap data

J Schilling, J Tränckner - Water, 2020 - mdpi.com
For the optimization of sewer networks and integration of water management in urban
planning, estimations of wastewater discharges at a high spatial resolution are a key …

Optimal transport under land cover information constraints: Fusing heterogeneous SAR imagery and social media data

Z Liu, J Li, L Wang, A Plaza - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
The integration of remote sensing and citizen science offers an unprecedented opportunity
for observing the Earth and human activities. Recently, heterogeneous data fusion models …

Spatial characteristics and frequency of citizen-observed pluvial flooding events in relation to storm size in Portland, Oregon

K Michelson, H Chang - Urban Climate, 2019 - Elsevier
Pluvial flooding is caused by intense rainfall events that overwhelm drainage systems and
do not allow excess water to be absorbed by soils or water infrastructure. We examined the …

Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images

L Griesbaum, S Marx, B Höfle - Natural Hazards and Earth …, 2017 - nhess.copernicus.org
In recent years, the number of people affected by flooding caused by extreme weather
events has increased considerably. In order to provide support in disaster recovery or to …

Combining remote sensing and social media data for flood mapping: a case study in Linhai, Zhejiang Province, China

H Luo, J Liao, G Shen - Journal of Applied Remote Sensing, 2023 - spiedigitallibrary.org
The rapid mapping of flood inundation is essential for timely assessment of damage and
post-disaster recovery. Remote sensing technology provides clear spatial information for …

Flood Prediction in Jakarta Using Long Short-Term Memory

ZW Alexandrina, IA Zulkarnain… - 2024 8th International …, 2024 - ieeexplore.ieee.org
Indonesia experiences a tropical climate characterized by two seasons: dry and rainy.
Heavy rainfall during the rainy season can result in significant floods. Jakarta, particularly …