Cited by Hybrid Xception-LSTM Model for Remote Sensing: Advanced Urban Heat Island and Land Use Analysis

Modeling Urban Microclimates for High-Resolution Prediction of Land Surface Temperature Using Statistical Models and Surface Characteristics DOI

Md Golam Rabbani Fahad, Maryam Karimi, Rouzbeh Nazari

et al.

Urban Science, Journal Year: 2025, Volume and Issue: 9(2), P. 28 - 28

Published: Jan. 28, 2025

Surface properties in complex urban environments can significantly impact local-level temperature gradients and distribution on several scales. Studying anomalies identifying heat pockets settings is challenging. Limited high-resolution datasets are available that do not translate into an accurate assessment of near-surface temperature. This study developed a model to predict land surface (LST) at high spatial–temporal resolution areas using Landsat data meteorological inputs from NLDAS. microclimate (UC) air for inner through build-up scheme. The innovative aspect the inclusion micro-features use characteristics, which incorporate types, vegetation, building density heights, short wave radiation, relative humidity. Statistical models, including Generalized Additive Model (GAM) spatial autoregression (SAR), were based characteristics weather parameters. was applied microclimates densely populated regions, focusing Manhattan New York City. results indicated SAR performed better (R2 = 0.85, RMSE 0.736) predicting micro-scale LST variations compared GAM 0.39, 1.203) validated accuracy prediction with R2 ranging 0.79 0.95.

Language: Английский

Citations

Machine Learning in Modeling Urban Heat Islands: A Data-Driven Approach for Kuala Lumpur DOI

Nirwani Devi Miniandi, Mohamad Hidayat Jamal, Mohd Khairul Idlan Muhammad

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 7, 2025

Language: Английский

Citations

Personalized heat stress early warning system for an urban city DOI

K. P. Kacker,

Piyush Srivastava, Mahua Mukherjee

et al.

Environment International, Journal Year: 2025, Volume and Issue: unknown, P. 109507 - 109507

Published: May 1, 2025

Language: Английский

Citations

Analysis of Urban Heat Island Effect in Wuhan Urban Area Based on Prediction of Urban Underlying Surface Coverage Type Change DOI

Wanyi Zuo,

Zhigang Ren, Xiaofang Shan

et al.

Advances in Meteorology, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 19

Published: April 22, 2024

The rapid development of urbanization makes the phenomenon urban heat islands even more serious. Predicting impact land cover change on island has become one research hotspots. Taking Wuhan, China, as an example, this study simulated type in 2020 through Cellular Automata-Markov-Chain (CA-Markov) model. was and analyzed conjunction with Weather Research & Forecasting Model (WRF), simulation results wind velocity temperature were confirmed using weather station observation data. Based this, Wuhan 2030 predicted. found to be well-fit by CA-Markov use data, average inaccuracy about 2.5°C for stations. Wind speed had a poor fitting effect; error roughly 2 m/s. built-up area center high both before after prediction, water low area, peak happened at night. According forecast results, there will 2030, greater intensity than 2020.

Language: Английский

Citations

Simulation of urban surface temperature and surface heat balance in the Tokyo metropolitan area DOI

Yujiro Hirano, Toshiaki Ichinose, Yukitaka Ohashi

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105596 - 105596

Published: June 12, 2024

Language: Английский

Citations

Unravelling key environmental factors influencing urban park visits: Thermal comfort and air quality DOI

Fujie Rao,

Peiru Xiao,

Yang Zhang

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 57, P. 102096 - 102096

Published: Aug. 23, 2024

Language: Английский

Citations

Projected Heat Waves in Ecuador under Climate Change: Insights from HadGEM-RegCM4 Coupled Model DOI

Diego Portalanza, Carlos Ortega,

Liliam Garzon

et al.

Earth, Journal Year: 2024, Volume and Issue: 5(1), P. 90 - 109

Published: March 14, 2024

This study examines heat wave projections across Ecuador’s Coastal, Highlands, and Amazon regions for 1975–2004 2070–2099 under Representative Concentration Pathways (RCP) scenarios 2.6, 4.5, 8.5. Employing dynamic downscaling, we identify significant increases in heatwave intensity maximum air temperatures (Tmax), particularly RCP 8.5, with the Coastal region facing most severe impacts. A moderate positive correlation between Tmax climate indices such as Pacific Decadal Oscillation (PDO) Oceanic Niño Index (ONI) suggests regional climatic influences on trends. These findings highlight critical need integrated adaptation strategies Ecuador, focusing mitigating risks to health, agriculture, ecosystems. Proposed measures include urban forestry initiatives promotion of cool surfaces, alongside enhancing public awareness access cooling resources. research contributes understanding change impacts Latin America, underscoring urgency adopting targeted resilience against island effects centers.

Language: Английский

Citations

Heat Stress Risk at an Intra-Urban Level: A Case Study of Delhi, India DOI

K. P. Kacker,

Piyush Srivastava, Mahua Mukherjee

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 264, P. 111897 - 111897

Published: July 31, 2024

Language: Английский

Citations

Extension and trend of the London urban heat island under Lamb weather types DOI

Isidro A. Pérez, M. Ángeles García, Saeed Rasekhi

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105743 - 105743

Published: Aug. 16, 2024

Language: Английский

Citations

Hybrid Xception-LSTM Model for Remote Sensing: Advanced Urban Heat Island and Land Use Analysis DOI

Ashutosh Kumar Singh,

Ch L. N. Deepika,

K. V. Shahnaz

et al.

Remote Sensing in Earth Systems Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Language: Английский

Citations