Machine Learning for Urban Heat Island (UHI) Analysis: Predicting Land Surface Temperature (LST) in Urban Environments

Urban Climate, Год журнала: 2024, Номер 55, С. 101962 - 101962

Опубликована: Май 1, 2024

Язык: Английский

---

Exploring the scale effect of urban thermal environment through XGBoost model

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105763 - 105763

Опубликована: Авг. 23, 2024

Язык: Английский

---

The impact of urban morphology on land surface temperature under seasonal and diurnal variations: marginal and interaction effects

Building and Environment, Год журнала: 2025, Номер unknown, С. 112673 - 112673

Опубликована: Фев. 1, 2025

Язык: Английский

---

From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning

Sensors, Год журнала: 2025, Номер 25(4), С. 1169 - 1169

Опубликована: Фев. 14, 2025

This study introduces an innovative machine learning method to model the spatial variation of land surface temperature (LST) with a focus on urban center Da Nang, Vietnam. Light Gradient Boosting Machine (LightGBM), support vector machine, random forest, and Deep Neural Network are employed establish functional relationships between LST its influencing factors. The approaches trained validated using remote sensing data from 2014, 2019, 2024. Various explanatory variables representing topographical characteristics, as well landscapes, used. Experimental results show that LightGBM outperforms other benchmark methods. In addition, Shapley Additive Explanations utilized clarify impact factors affecting LST. analysis outcomes indicate while importance these changes over time, density greenspace consistently emerge most influential attained R2 values 0.85, 0.92, 0.91 for years 2024, respectively. findings this work can be helpful deeper understanding heat stress dynamics facilitate planning.

Язык: Английский

---

Spatiotemporal heterogeneity of the relationship between urban morphology and land surface temperature at a block scale

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105711 - 105711

Опубликована: Июль 30, 2024

Язык: Английский

---

Unveiling nonlinear effects of built environment attributes on urban heat resilience using interpretable machine learning

Urban Climate, Год журнала: 2024, Номер 56, С. 102046 - 102046

Опубликована: Июнь 28, 2024

Язык: Английский

---

The cooling capacity of urban vegetation and its driving force under extreme hot weather: A comparative study between dry-hot and humid-hot cities

Building and Environment, Год журнала: 2024, Номер 263, С. 111901 - 111901

Опубликована: Июль 30, 2024

Язык: Английский

---

Disentangling the non-linear relationships and interaction effects of urban digital transformation on carbon emission intensity

Urban Climate, Год журнала: 2025, Номер 59, С. 102283 - 102283

Опубликована: Янв. 5, 2025

Язык: Английский

---

Quantitative Assessment of Non-Stationary Relationship Between Multi-Scale Urban Morphology and Urban Heat

Building and Environment, Год журнала: 2025, Номер unknown, С. 112669 - 112669

Опубликована: Фев. 1, 2025

Язык: Английский

---

Research on the cool island effect of green spaces in megacity cores: A case study of the main urban area of Xi'an, China

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106255 - 106255

Опубликована: Фев. 1, 2025

Язык: Английский

---