An integrated approach for analysing land surface temperature, heatwave and air pollution for sustainable planning in Delhi and its environs, India DOI
Bhavna Singh, V. Venkatramanan,

Benidhar Deshmukh

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Language: Английский

Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches DOI
Gourav Suthar, Saurabh Singh,

Nivedita Kaul

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101265 - 101265

Published: June 2, 2024

Language: Английский

Citations

10
Robust drivers of urban land surface temperature dynamics across diverse landscape characters: An augmented systematic literature review DOI Creative Commons
P Eneche, Funda Atún, Yijian Zeng

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112056 - 112056

Published: May 11, 2024

To effectively develop strategies that address the escalating surface temperatures of cities in diverse landscape characters, various and sometimes contradicting drivers are presented literature. A synthesis findings observations this aspect is lacking. Therefore, main tenet our study was to identify robust metrics (LMs) drive dynamics urban land temperature (ULST) analyse extent which character influences their impact. We adopted a systematic literature review protocol, augmented with different geospatial datasets (at global scale) applied mixed approaches for analyses. total 101 relevant articles were identified, although skewed towards Asia; methods utilised analysing LMs – ULST relationship; about 432 unique revealed only 11 % these confirmed be robust. Landscape elements found exert slight moderate significant influence on − relationship reported This further strengthened proposition need consider understanding environments. end, we developed an interactive scheme synthesize reveal characters. Our FAIRly-open serves as call scientific community stakeholders engage interact may help rethink (current) mitigation strategies. Also, combining expert local spatial knowledge can offer practical foundation addressing ULSTs across landscapes.

Language: Английский

Citations

4
Understanding the multifaceted influence of urbanization, spectral indices, and air pollutants on land surface temperature variability in Hyderabad, India DOI
Gourav Suthar, Saurabh Singh,

Nivedita Kaul

et al.

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

Published: Aug. 1, 2024

Language: Английский

Citations

4
Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach DOI Creative Commons
Al Jubaer, Rakib Hossain, Afzal Ahmed

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 13, 2025

Language: Английский

Citations

0
Application of machine learning models for PM2.5 prediction in bengaluru using precursor air pollutants and meteorological data DOI
Gourav Suthar,

Saurabh Singh

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(3)

Published: March 1, 2025

Language: Английский

Citations

0
Factors Influencing Spatiotemporal Variability of NO2 Concentration in Urban Area: A GIS and Remote Sensing-Based Approach DOI Creative Commons
Al Jubaer, Rakib Hossain, Afzal Ahmed

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 22, 2024

Abstract The growing global attention on urban air quality underscores the need to understand spatial and temporal dynamics of nitrogen dioxide (NO2), especially in cities like Dhaka (Gazipur), Bangladesh, known for having some world's poorest quality. present study utilizes Tropospheric Monitoring Instrument (TROPOMI) Sentinel-5P (S5P) satellite Google Earth Engine (GEE) analyse NO2 concentrations Gazipur, from 2019 2022. Utilizing S5P TROPOMI data, we investigate correlations between levels various environmental factors, including land surface temperature (LST), normalized difference vegetation index (NDVI), use cover (LULC), population density, road settlement industry density. Our results reveal significant seasonal variations, with peak during pre-monsoon post-monsoon periods lowest monsoon seasons. demonstrates a positive correlation LST, industrial negative NDVI. These findings underscore detrimental impact rapid urbanization deforestation Through linear regression analysis, highlight influence these factors levels, providing comprehensive understanding pollution rapidly city. This research offers critical insights policymakers planners, advocating enhanced green infrastructure, stringent emission controls, sustainable development strategies mitigate Gazipur. methodological approach contribute broader discourse management developing countries.

Language: Английский

Citations

0
An integrated approach for analysing land surface temperature, heatwave and air pollution for sustainable planning in Delhi and its environs, India DOI
Bhavna Singh, V. Venkatramanan,

Benidhar Deshmukh

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Language: Английский

Citations

0