Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives

Y Li, B Dang, Y Zhang, Z Du - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
Water body classification from high-resolution optical remote sensing (RS) images, aiming at
classifying whether each pixel of the image is water or not, has become a hot issue in the …

GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and …

SA Ali, F Parvin, QB Pham, M Vojtek, J Vojteková… - Ecological …, 2020 - Elsevier
Flood is a devastating natural hazard that may cause damage to the environment
infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

SVR Termeh, A Kornejady, HR Pourghasemi… - Science of the Total …, 2018 - Elsevier
Flood is one of the most destructive natural disasters which cause great financial and life
losses per year. Therefore, producing susceptibility maps for flood management are …

Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China

H Hong, P Tsangaratos, I Ilia, J Liu, AX Zhu… - Science of the total …, 2018 - Elsevier
In China, floods are considered as the most frequent natural disaster responsible for severe
economic losses and serious damages recorded in agriculture and urban infrastructure …

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

W Chen, H Hong, S Li, H Shahabi, Y Wang, X Wang… - Journal of …, 2019 - Elsevier
Flooding is a very common natural hazard that causes catastrophic effects worldwide.
Recently, ensemble-based techniques have become popular in flood susceptibility …

A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with …

K Khosravi, E Nohani, E Maroufinia, HR Pourghasemi - Natural hazards, 2016 - Springer
Flood is one of the most prevalent natural disasters that frequently occur in the northern part
of Iran reported in hot spots of flood occurrences. The main aim of the current study was to …

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

O Rahmati, HR Pourghasemi, H Zeinivand - Geocarto International, 2016 - Taylor & Francis
Flood is one of the most devastating natural disasters with socio-economic and
environmental consequences. Thus, comprehensive flood management is essential to …

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

O Rahmati, H Zeinivand, M Besharat - Geomatics, Natural Hazards …, 2016 - Taylor & Francis
Flood is considered to be the most common natural disaster worldwide during the last
decades. Flood hazard potential mapping is required for management and mitigation of …

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India

R Mitra, J Das - Environmental Science and Pollution Research, 2023 - Springer
Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …

Flood susceptibility analysis through remote sensing, GIS and frequency ratio model

S Samanta, DK Pal, B Palsamanta - Applied Water Science, 2018 - Springer
Abstract Papua New Guinea (PNG) is saddled with frequent natural disasters like
earthquake, volcanic eruption, landslide, drought, flood etc. Flood, as a hydrological disaster …