During the last two decades, remote sensing data have led to tremendous progress in
advancing flood inundation modelling. In particular, low‐cost space‐borne data can be …

Remote sensing technologies are extensively applied to prevent, monitor, and forecast
hazardous risk conditions in the present-day global climate change era. This paper presents …

This study presents an exhaustive methodology of floodplain mapping at ungauged rivers.
To present our methodology, we selected the Halilrud basin and Jiroft city in southeastern …

Abstract A coupled 1D-2D hydrodynamic model, MIKE FLOOD was used to simulate the
flood inundation extent and flooding depth in the delta region of Mahanadi River basin in …

Effective measures to improve road accessibility during storms are required as traffic
congestion caused by storm floods increasingly constrains the efficiency of urban …

One of the most essential inputs in flood inundation mapping is the geometric description of
the floodplains and river channel that often derives from the digital elevation models (DEMs) …

Identification of flood-risk dynamics is pivotal for refurbishing the existing and future flood-
management options. The present study quantifies the marginal and compound …

The resolution and accuracy of digital elevation models (DEMs) can affect the hydraulic
simulation results for predicting the effects of glacial lake outburst floods (GLOFs). However …

Topographic data, such as digital elevation models (DEMs), are essential input in flood
inundation modelling. DEMs can be derived from several sources either through remote …

Floods are one of the most common natural disasters that occur frequently causing massive
damage to property, agriculture, economy and life. Flood prediction offers a huge challenge …