Recent advances and new frontiers in riverine and coastal flood modeling

K Jafarzadegan, H Moradkhani… - Reviews of …, 2023 - Wiley Online Library
Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

Progress in integration of remote sensing–derived flood extent and stage data and hydraulic models

G Schumann, PD Bates, MS Horritt… - Reviews of …, 2009 - Wiley Online Library
The ability to monitor floods with sensors mounted on aircraft and satellites has been known
for decades. Early launches of satellites and the availability of aerial photography allowed …

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

MS Tehrany, B Pradhan, MN Jebur - Journal of hydrology, 2013 - Elsevier
Flood is one of the natural hazards which occur all over the world and it is critical to be
controlled through proper management. Severe flood events in Kelantan, Malaysia cause …

Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning

G Konapala, SV Kumar, SK Ahmad - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
Identification of flood water extent from satellite images has historically relied on either
synthetic aperture radar (SAR) or multi-spectral (MS) imagery. MS sensors are limited to …

GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques

M Shafapour Tehrany, F Shabani… - … , Natural Hazards and …, 2017 - Taylor & Francis
The aim of this research was to evaluate the predictive performances of frequency ratio (FR),
logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in …

Normalized Difference Flood Index for rapid flood mapping: Taking advantage of EO big data

F Cian, M Marconcini, P Ceccato - Remote Sensing of Environment, 2018 - Elsevier
Climate change projections foresee an increasing number of intense precipitation events
with consequent flash and riverine floods. An accurate and rapid mapping of these …

Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies

P Matgen, R Hostache, G Schumann, L Pfister… - … of the Earth, Parts A/B/C, 2011 - Elsevier
This paper aims at contributing to the elaboration of new concepts for an efficient and
standardized Synthetic Aperture Radar (SAR) based monitoring of floods. Algorithms that …

Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data

S Martinis, A Twele, S Voigt - Natural Hazards and Earth …, 2009 - nhess.copernicus.org
In this paper, an automatic near-real time (NRT) flood detection approach is presented,
which combines histogram thresholding and segmentation based classification, specifically …

[HTML][HTML] Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe

A Tarpanelli, AC Mondini… - Natural Hazards and Earth …, 2022 - nhess.copernicus.org
Inundation is one of the major natural hazards in Europe. The evaluation of the flood hazard
and risk is not straightforward mainly due to the monitoring system that is poor or not …

[HTML][HTML] A methodology for mapping annual flood extent using multi-temporal Sentinel-1 imagery

T McCormack, J Campanyà, O Naughton - Remote Sensing of …, 2022 - Elsevier
A novel automated approach for mapping nonurban flood extents using satellite-based
Sentinel-1C-band SAR data is presented and applied in the Republic of Ireland. The …