Quantifying urban heat island and pollutant nexus: A novel geospatial approach

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105117 - 105117

Published: Dec. 13, 2023

Language: Английский

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Diurnal variation of air pollutants and their relationship with land surface temperature in Bengaluru and Hyderabad cities of India

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101204 - 101204

Published: April 25, 2024

Language: Английский

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Revealing the urban heat Island: Investigating spatiotemporal surface temperature dynamics, modeling, and interactions with controllable and non-controllable factors

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101219 - 101219

Published: May 7, 2024

Language: Английский

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Exploring spatial machine learning techniques for improving land surface temperature prediction

Kuwait Journal of Science, Journal Year: 2024, Volume and Issue: 51(3), P. 100242 - 100242

Published: May 5, 2024

Land Surface Temperature (LST) is a crucial parameter in Earth observation and environmental studies due to its significance various fields. The purpose of this study investigate the effects including spatial information into Random Forest (RF) XGBoost models for forecasting LST. impact each input on models' predictive capabilities are assessed using SHAP (SHapley Additive exPlanations) approach model intercomparisons were done error evaluation metrices. predictions further validated Pearson correlation, independent samples t-test potential geographic anomalies examined by comparison predicted errors classification maps envelopes. projected within acceptable range from -2.267 °C 1.292 spatially enhanced RF -1.675 1.439 model. These ranges closely align with training data's quality flag ±2 °C, demonstrating capability predict LST accurately reasonable range. findings show adding precise prediction draw attention possible uses such monitoring management. work advances our understanding modelling strategies offers practical guidelines enhancing forecasts.

Language: Английский

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Understanding the multifaceted influence of urbanization, spectral indices, and air pollutants on land surface temperature variability in Hyderabad, India

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 470, P. 143284 - 143284

Published: Aug. 1, 2024

Language: Английский

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Urban Heat Island and Pollutant Correlations in Bangalore, India using Geospatial Techniques

Solar Compass, Journal Year: 2025, Volume and Issue: unknown, P. 100108 - 100108

Published: Jan. 1, 2025

Language: Английский

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Identifying influential climatic factors for urban risk studies in rapidly urbanizing Region

Computational Urban Science, Journal Year: 2024, Volume and Issue: 4(1)

Published: April 11, 2024

Abstract Severe weather events, such as heat waves, floods, pollution, and health threats, are becoming more common in metropolitan places across the world. Overcrowding, poor infrastructure, fast, unsustainable urbanization some of problems that India faces, country is also susceptible to natural disasters. This research analyzes climatic variables affecting urban hazards Bangalore (also known Bengaluru) via a thorough review. Heat islands, drought were identified 156 qualifying publications using Preferred Reporting Items for Systematic Reviews Meta-Analysis (PRISMA) method. Contributing considered. City development key changing climate increasing dangers. While long-term variable distribution uneven, warming evident. The report promotes strong planning techniques, comprehensive policies, green areas, sustainable beyond short-term response programs boost resilience. study shows how climate, land use, dangers interconnected. Future studies may benefit by categorizing risk identifying factors.

Language: Английский

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Analyzing methane emissions in five Indian cities using TROPOMI data from sentinel-5 precursor satellite

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102174 - 102174

Published: Oct. 19, 2024

Language: Английский

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Thermal dynamics of Jaipur: Analyzing urban heat island effects using in-situ and remotely sensed data

Cogent Engineering, Journal Year: 2023, Volume and Issue: 10(2)

Published: Nov. 2, 2023

The Urban Heat Island (UHI) effect is a phenomenon where urban areas experience higher temperatures than surrounding rural areas. In these issues, enhanced air or surface temperature one of the major issues that led to UHI phenomenon. this article, we come up with study on diurnal caused in Jaipur city, India, and Jaipur. In-situ monitoring has been carried out at seven dispersed locations properly understand evaluate effects (SUHI) atmospheric (AUHI), as well assess thermal profile diverse land surfaces With use satellite data, intensity AUHI SUHI determined between 10.30 a.m. p.m. observations point positive (AUHII) exists many locations, irrespective time periods. During day period, negative (SUHII) was noticed whereas during night SUHII noticed. According our observations, have direct correlation but inverse day. That is, active both night. Various play significant role contrasting effect. This evaluates potential remotely sensed data provides recommendations for planners policymakers mitigate city

Language: Английский

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Assessing the land use dynamics and thermal environment using geospatial techniques in the industrial city of Chotanagpur Plateau Region, India

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(7)

Published: June 11, 2024

Language: Английский

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