Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …

This article provides a state-of-the-art review on emerging applications of smart tools such
as data analytics and smart technologies such as internet-of-things in case of design …

Accurate estimation of the microenvironment and radiative susceptibility, as well as
forecasting of climate and weather scenarios in urban contexts, are critical for achieving …

Due to its relation to the Earth's climate and weather and phenomena like drought, flooding,
or landslides, knowledge of the soil moisture content is valuable to many scientific and …

This study aims to identify urban forms that are prone to heat storage in the Tokyo Prefecture
in Japan. First, local climate zones (LCZ) were identified with 100 m pixel resolution using …

Abstract New York City (NYC) faces many challenges in the coming decades due to climate
change and its interactions with social vulnerabilities and uneven urban development …

To reduce carbon emissions, using more solar energy is a feasible solution. Many
meteorological-based models can estimate global downward solar radiation (DSR), but they …

Ultraviolet (UV) radiation is an important fundamental data for solar energy utilization,
climate change, human health, photochemical reaction studies, etc. However, it is still a …

Anthropogenic heat (AH) significantly impacts urban climates. Although combining the
surface energy balance (SEB) with remote sensing data (RS-SEB) is promising for AH …

In this paper, machine learning based method for the estimation of solar radiation in earth
surface is presented. To design the machine learning model, multispectral (visible and …