In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in Remote Sensing. Despite the potential benefits of …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …

People adapt to changes in livelihoods and risks caused by summer high temperature in the
era of global warming, which may also lead to residential mobility at the individual level and …

While numerous studies over the last decade have highlighted the important influence of
environmental factors on mental health, globally applicable data on physical surroundings …

Evaluating the occurrence of high production volume chemicals (HPVCs) and polycyclic
aromatic hydrocarbons (PAHs) in the air is important because they carry a carcinogenic risk …

This study describes the use of passive sampling followed by pressurised liquid extraction
and gas chromatography-mass spectrometry for monitoring high production volume …

Each individual's experiences and perspectives influence how they interact with the
environment. An environmental psychologist examines the environment as a …

Numerous studies have examined the impact of the built environment on mental health, yet
there remains an underexplored area concerning how microenvironments within …

Deterioration of air is one of the important factors which is due to natural and anthropogenic
reasons, hence its accurate monitoring and prediction are important as it has a lot of …

This study aims to investigate the effectiveness of sustainable urban regeneration projects in
mitigating Urban Heat Island (UHI). A place-based approach utilizing Geographic …