[HTML][HTML] A review of studies assessing ecosystem services provided by urban green and blue infrastructure
Urban green and blue infrastructure (GBI) and associated ecosystem services (ES) are
increasingly recognized for their potential to address urban sustainability challenges. This …
increasingly recognized for their potential to address urban sustainability challenges. This …
Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review
Spatio-temporal land-use change modeling, simulation, and prediction have become one of
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …
LST determination of different urban growth patterns: A modeling procedure to identify the dominant spatial metrics
The growing threat of urban heating has attracted considerable scholarly attention to their
modeling and prediction. To improve the urban land surface temperature (LST) …
modeling and prediction. To improve the urban land surface temperature (LST) …
Simulation of green roofs and their potential mitigating effects on the urban heat island using an artificial neural network: A case study in Austin, Texas
The growing number of densely populated cities has resulted in a decrease in vegetation
coverage, which in turn, has resulted in a temperature increase in urban areas. This …
coverage, which in turn, has resulted in a temperature increase in urban areas. This …
Examining the relationship between land use/land cover (LULC) and land surface temperature (LST) using explainable artificial intelligence (XAI) models: a case …
Understanding the relationship between land use/land cover (LULC) and land surface
temperature (LST) has long been an area of interest in urban and environmental study …
temperature (LST) has long been an area of interest in urban and environmental study …
Discerning the success of sustainable planning: A comparative analysis of urban heat island dynamics in Korean new towns
UHI is an important measure for understanding the urban landscape, especially in terms of
thermal agglomeration and disturbance. This research aims to discern the success of …
thermal agglomeration and disturbance. This research aims to discern the success of …
Spatial prediction of the urban inter-annual land surface temperature variability: An integrated modeling approach in a rapidly urbanizing semi-arid region
The inter-annual land surface temperature (LST) is a meteorological indicator of urban
environments, affecting energy consumption and quality of life. In this study, the annual LST …
environments, affecting energy consumption and quality of life. In this study, the annual LST …
[HTML][HTML] Urban physics and outdoor thermal comfort for sustainable street canyons using ANN models for composite climate
This study is focused on the development and validation of the Artificial Neural Network
(ANN) model for the prediction of hourly values of thermal comfort indices, namely …
(ANN) model for the prediction of hourly values of thermal comfort indices, namely …
Simulation of the climatic changes around the coastal land reclamation areas using artificial neural networks
For the last 20 years, Istanbul has intensely experienced land use/cover change (LUCC) as
a result of both the direction of investment strategies to the construction sector and urban …
a result of both the direction of investment strategies to the construction sector and urban …
Exploring the relationship between LST and land cover of Bengaluru by concentric ring approach
The present study aims at investigating the impact of land cover features in enhancing or
mitigating Land Surface Temperature (LST) in a semi-arid tropical metropolitan city of …
mitigating Land Surface Temperature (LST) in a semi-arid tropical metropolitan city of …