A brief review of random forests for water scientists and practitioners and their recent history in water resources
Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …
to gain prominence in water resources applications. However, existing applications are …
A systematic review of prediction methods for emergency management
With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …
of catastrophes have posed devastating threats to human life and social stability worldwide …
A global database of historic and real-time flood events based on social media
Early event detection and response can significantly reduce the societal impact of floods.
Currently, early warning systems rely on gauges, radar data, models and informal local …
Currently, early warning systems rely on gauges, radar data, models and informal local …
Discharge estimation in high-mountain regions with improved methods using multisource remote sensing: A case study of the Upper Brahmaputra River
River discharge is an important variable in the water cycle that is related to water supply,
irrigation, and flood forecasting. However, gauging stations are extremely limited across …
irrigation, and flood forecasting. However, gauging stations are extremely limited across …
[HTML][HTML] A review of methods for monitoring streamflow for sustainable water resource management
Monitoring of streamflow may help to determine the optimum levels of its use for sustainable
water management in the face of climate change. We reviewed available methods for …
water management in the face of climate change. We reviewed available methods for …
[HTML][HTML] On the use of global flood forecasts and satellite-derived inundation maps for flood monitoring in data-sparse regions
Early flood warning and real-time monitoring systems play a key role in flood risk reduction
and disaster response decisions. Global-scale flood forecasting and satellite-based flood …
and disaster response decisions. Global-scale flood forecasting and satellite-based flood …
River gauging at global scale using optical and passive microwave remote sensing
AIJM Van Dijk, GR Brakenridge… - Water Resources …, 2016 - Wiley Online Library
Recent discharge observations are lacking for most rivers globally. Discharge can be
estimated from remotely sensed floodplain and channel inundation area, but there is …
estimated from remotely sensed floodplain and channel inundation area, but there is …
Application of computational intelligence technologies in emergency management: a literature review
N Chen, W Liu, R Bai, A Chen - Artificial Intelligence Review, 2019 - Springer
Due to the frequently occurring disasters in the world, emergency management is an
attractive research area aiming to stabilize the disasters and reduce the potential damage to …
attractive research area aiming to stabilize the disasters and reduce the potential damage to …
Design with nature: Causation and avoidance of catastrophic flooding, Myanmar
GR Brakenridge, JPM Syvitski, E Niebuhr… - Earth-Science …, 2017 - Elsevier
Myanmar is among 15 nations that account for 80% of global population exposed to
flooding. In 2008, the country suffered exceptional damage and human mortalities (> …
flooding. In 2008, the country suffered exceptional damage and human mortalities (> …
A review of satellite-derived soil moisture and its usage for flood estimation
Accurate knowledge of the spatiotemporal behavior of soil moisture (SM) can greatly
improve hydrological forecasting capability. While ground-based SM measurements exhibit …
improve hydrological forecasting capability. While ground-based SM measurements exhibit …