Framework of street grid-based urban heat vulnerability assessment: Integrating entropy weight method and BPNN model
In the context of global warming, the increasing frequency of high temperature and
heatwave events poses a significant threat to human health in cold cities, particularly those …
heatwave events poses a significant threat to human health in cold cities, particularly those …
[HTML][HTML] A novel urban heat vulnerability analysis: Integrating machine learning and remote sensing for enhanced insights
Rapid urbanization and climate change exacerbate the urban heat island effect, increasing
the vulnerability of urban residents to extreme heat. Although many studies have assessed …
the vulnerability of urban residents to extreme heat. Although many studies have assessed …
An analytical framework for assessing heat vulnerability in urban thermal environmental planning
Due to global climate change, the frequency and intensity of heat-related disasters in cities
are continuously increasing. Intraurban heat vulnerability may vary according to the spatial …
are continuously increasing. Intraurban heat vulnerability may vary according to the spatial …
Earth observation and machine learning for climate change
Climate change has a multitude of direct and indirect effects on natural habitats, availability
and accessibility of resources, human life and communities, and economy. Earth …
and accessibility of resources, human life and communities, and economy. Earth …
Analysis of Reason to Global Warming Based on Heat Pattern Using Hyperspectral Imaging: Artificial Intelligence Application
Extreme precipitation has become more commonplace due to global warming, but the
physical processes by which climate change modifies local and regional precipitation …
physical processes by which climate change modifies local and regional precipitation …
Public Decision-Making Analysis in Urban Heat Islands Based on Socioeconomic Modelling by Deep Learning Techniques
Urban heat island (UHI) effects, especially in highly urbanised areas, and greenhouse gas
emissions from human activity are two elements that accelerate global climate change …
emissions from human activity are two elements that accelerate global climate change …
Method to predict urban heat island hot spots at microscale level based on convolutional neural network land cover
The ongoing shifts in climate change suggest an increase in urban temperatures during hot
periods, emphasising the need for supported public policy to be more efficient in reducing …
periods, emphasising the need for supported public policy to be more efficient in reducing …