A review on flood management technologies related to image processing and machine learning

HS Munawar, AWA Hammad, ST Waller - Automation in Construction, 2021 - Elsevier
Flood management, which involves flood prediction, detection, mapping, evacuation, and
relief activities, can be improved via the adoption of state-of-the-art tools and technology …

[HTML][HTML] The need to integrate flood and drought disaster risk reduction strategies

PJ Ward, MC de Ruiter, J Mård, K Schröter, A Van Loon… - Water Security, 2020 - Elsevier
Most research on hydrological risks focuses either on flood risk or drought risk, whilst floods
and droughts are two extremes of the same hydrological cycle. To better design disaster risk …

Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP)

S Das - Remote Sensing Applications: Society and …, 2020 - Elsevier
Progressive environmental and climate change have altogether expanded hydro-
meteorological hazards everywhere throughout the world. In recent times, floods have …

An overview of flood concepts, challenges, and future directions

A Mishra, S Mukherjee, B Merz, VP Singh… - Journal of hydrologic …, 2022 - ascelibrary.org
This review provides a broad overview of the current state of flood research, current
challenges, and future directions. Beginning with a discussion of flood-generating …

Flood inundation mapping-Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine

V Tiwari, V Kumar, MA Matin, A Thapa, WL Ellenburg… - PLoS …, 2020 - journals.plos.org
Flood inundation maps provide valuable information towards flood risk preparedness,
management, communication, response, and mitigation at the time of disaster, and can be …

Comparative assessment and future prediction using CMIP6 and CMIP5 for annual precipitation and extreme precipitation simulation

J Li, R Huo, H Chen, Y Zhao, T Zhao - Frontiers in Earth Science, 2021 - frontiersin.org
This study assesses the improvement of the latest Coupled Model Intercomparison Project
Phase 6 (CMIP6) over Coupled Model Intercomparison Project Phase 5 (CMIP5) for …

Random forest classifications for landuse mapping to assess rapid flood damage using Sentinel-1 and Sentinel-2 data

M Billah, AKMS Islam, WB Mamoon… - … Applications: Society and …, 2023 - Elsevier
Devastating flood events in northeast Bangladesh are almost a regular phenomenon and
last for an abnormally long time for a variety of reasons, including the mountainous …

Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques

S Saravanan, D Abijith - Geocarto International, 2022 - Taylor & Francis
Flooding is one of the most challenging and important natural disasters to predict, it is
becoming more frequent and more intense. The study area is badly damaged by devastating …

[HTML][HTML] Applying Google earth engine for flood mapping and monitoring in the downstream provinces of Mekong river

BPQ Nghia, I Pal, N Chollacoop… - Progress in Disaster …, 2022 - Elsevier
Flood is a hazard, but it is also essential for the local communities in the Mekong Delta, as it
also provides nutrients for agriculture and resists saltwater intrusion. In recent years …

Evaluation of floods and landslides triggered by a meteorological catastrophe (Ordu, Turkey, August 2018) using optical and radar data

S Kocaman, B Tavus, HA Nefeslioglu, G Karakas… - …, 2020 - Wiley Online Library
This study explores the potential of photogrammetric datasets and remote sensing methods
for the assessment of a meteorological catastrophe that occurred in Ordu, Turkey in August …