Impact analysis of cyclonic effects and landform change in part of Indian Sundarban using remote sensing and Google Earth Engine DOI
Bijay Halder, Jatisankar Bandyopadhyay, Miguel Inácio

et al.

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

Published: Oct. 10, 2024

Language: Английский

Exploring the land-use urban heat island nexus under climate change conditions using machine learning approach: A spatio-temporal analysis of remotely sensed data DOI Creative Commons
Priyanka Rao, Patrizia Tassinari, Daniele Torreggiani

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(8), P. e18423 - e18423

Published: July 20, 2023

Urbanization strongly correlates with land use cover (LULC) dynamics, which further links to changes in surface temperature (LST) & urban heat island (UHI) intensity. Each LULC type influences UHI differently changing climate, therefore knowing this impact connection is critical. To understand such relations, long temporal studies using remote sensing data play promising role by analysing the trend continuity over vast area. Therefore, study aimed at machine learning centred spatio-temporal analysis of LST and indices identify their intra-urban interaction during 1991-2021 (summer) Imola city (specifically representing small environment) Landsat-5/8 imageries. It was found that 2021 increased 38.36% from 1991, whereas average Normalised Difference Built-up Index (NDBI) 43.75%, associating thermal stress area evaluated ecological evaluation index. Major transformations included green into agricultural arable-land built-up. Finally, modelled output shows built-up vegetation index have impacted LST. This study, help relative land-use dynamics on level specifically respect settings. Further assisting designing regenerating contexts stable configuration, considering sustainability liveable for benefit health public fragile population particular.

Language: Английский

Citations

28

Assessing the Cooling Effect of Blue-Green Spaces: Implications for Urban Heat Island Mitigation DOI Open Access
Pritipadmaja Pritipadmaja, Rahul Garg, Ashok Sharma

et al.

Water, Journal Year: 2023, Volume and Issue: 15(16), P. 2983 - 2983

Published: Aug. 18, 2023

The Urban Heat Island (UHI) effect is a significant concern in today’s rapidly urbanising cities, with exacerbating heatwaves’ impact, urban livelihood, and environmental well-being. This study aims to assess the cooling of blue-green spaces Bhubaneswar, India, explore their implications for mitigating UHI effects. Satellite images were processed Google Earth Engine (GEE) produce information on spaces’ land surface temperatures (LST). Normalised Difference Vegetation Index (NDVI) Modified Water (MNDWI) employed quantify presence characteristics these spaces. findings revealed spatial variations LST, higher observed bare built-up areas lower proximity In addition, correlation analysis indicated strong influence index (NDBI) emphasising impact urbanisation local climate dynamics. demonstrated potential reducing Based results, strategic interventions proposed, such as increasing coverage green spaces, optimising access water bodies, integrating water-sensitive design principles into planning enhance effects foster more sustainable resilient environment. highlighted importance leveraging remote sensing GEE analyses. It provides valuable insights policymakers planners prioritise nature-based solutions heat mitigation Bhubaneswar other similar cities. Future research could delve deeper quantitative assessment benefits specific infrastructure socio-economic impacts communities.

Language: Английский

Citations

28

Evaluating Cooling Effect of Blue-green Infrastructure on Urban Thermal Environment in a Metropolitan City: Using Geospatial and Machine Learning Techniques DOI
Md. Rejaul Islam,

Shahfahad,

Swapan Talukdar

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105666 - 105666

Published: July 14, 2024

Language: Английский

Citations

15

Kolkata’s green oasis: a comprehensive analysis of urban green spaces for ecosystem sustainability DOI
P. K. Biswas, Amit Kumar, Manjari Upreti

et al.

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

Citations

1

Digital elevation model for flood hazards analysis in complex terrain: Case study from Jeddah, Saudi Arabia DOI Creative Commons
Ahmed M. Al‐Areeq, Hatim O. Sharif, Sani I. Abba

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 119, P. 103330 - 103330

Published: April 29, 2023

Global Digital Elevation Models (GDEMs) have been increasingly used to assess the risk of flooding worldwide. However, their effectiveness and performance flood models in areas with complex terrain, such as Jeddah, Saudi Arabia, not comprehensively studied. This study aims compare five distinct − 30-m SRTM, ASTER, 90-m MERIT, 10 m Sentinel-1 DEM, 12.5 ALOSPALSAR - estimating inundation extent depth Jeddah watershed, including three dams. Both hydrological hydraulic modeling approaches were utilized achieve this objective. The findings revealed that all produced similar watershed boundaries mountain area (Wadi Qaws), except for ALOS-PALSAR, which generated a different boundary from previous reports studies. GDEMs failed accurately delineate drainage one dams, SRTM ALOS-PALSAR. Moreover, ASTER products provided closest estimates ground observations, producing peak discharges 114.1 m3/s 110 m3/s, respectively. For entire encompassing mountain, urban, coastal areas, demonstrated significant differences boundary, streams, outlet location, discharge at outlet. In addition, each GDEM's map was significantly distinct. Overall, results suggest outperformed other area.

Language: Английский

Citations

20

Investigating the relationship between urban sprawl and urban heat island using remote sensing and machine learning approaches DOI
Biswarup Rana, Jatisankar Bandyopadhyay, Bijay Halder

et al.

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(5), P. 4161 - 4188

Published: Feb. 16, 2024

Language: Английский

Citations

6

Spatiotemporal dynamics of land use/land cover (LULC) changes and its impact on land surface temperature: A case study in New Town Kolkata, eastern India DOI Creative Commons

Bubun Mahata,

Siba Sankar Sahu,

Archishman Sardar

et al.

Regional Sustainability, Journal Year: 2024, Volume and Issue: 5(2), P. 100138 - 100138

Published: June 1, 2024

Rapid urbanization creates complexity, results in dynamic changes land and environment, influences the surface temperature (LST) fast-developing cities. In this study, we examined impact of use/land cover (LULC) on LST determined intensity urban heat island (UHI) New Town Kolkata (a smart city), eastern India, from 1991 to 2021 at 10-a intervals using various series Landsat multi-spectral thermal bands. This study used maximum likelihood algorithm for image classification other methods like correlation analysis hotspot (Getis–Ord Gi* method) examine LULC environment. noticed that area percentage built-up increased rapidly 21.91% 45.63% during 1991–2021, with a positive change negative sparse vegetation. The mean significantly period (1991–2021), 16.31°C 22.48°C winter, 29.18°C 34.61°C summer, 19.18°C 27.11°C autumn. result showed impervious surfaces contribute higher LST, whereas vegetation helps decrease it. Poor ecological status has been found land, excellent water body. hot spot cold areas shifted their locations every decade due random changes. Even after became city, high observed. Overall, indicated patterns can influence appropriate planning is needed reduce LST. help policy-makers create sustainable

Language: Английский

Citations

5

Impacts of urban land use and land cover change on wetland dynamics in Jimma city, southwestern Ethiopia DOI Creative Commons
Yifru Waktole Berkessa, Tadesse Weyuma Bulto, Mitiku Badasa Moisa

et al.

Journal of Water and Climate Change, Journal Year: 2023, Volume and Issue: 14(7), P. 2397 - 2415

Published: July 1, 2023

Abstract Wetland has been substantially decreased by anthropogenic activities worldwide, requiring urgent conservation action. The present study aimed to analyze the effects of land use cover change on wetland dynamics from 1992 2022 in Jimma City, Southwestern Ethiopia. Landsat TM 1992, ETM+ 2000, 2009 and OLI/TIRS were used this study. images classified using supervised classification with maximum likelihood algorithm. results revealed that grassland, vegetation classes declined 2,304.9 ha, 1410.2 ha 820.5 respectively whereas farm land, settlement bare increased 2,199 2,111 225.4 respectively. Results show normalized difference water index (NDWI) positive negative strong relationship normailized (NDVI) built up (NDBI) coefficent determination (R2) 0.96 0.98, Due rapid urbanization declining area, about 98% area lost over past decades. Therefore, governmental non-governmental organizations should give special attention restoration management area.

Language: Английский

Citations

10

From Historical Management to Modern Sustainability DOI
Muhammed Ernur Akıner, Nurdan Akıner, İlknur Akıner

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 181 - 230

Published: March 14, 2025

As a major tourism center, Antalya faces challenges in waste management, water conservation, and air quality. The study combines policy analysis with case studies of municipal initiatives to fill gap sustainable urban governance for tourism-driven areas. Key findings include 25-fold rise renewable energy since 2010, an 85% recycling rate 95% landfill diversion, 40% drop tourist area emissions, 15% cut waste, 18% PM10 reduction 2020. AI-driven traffic management systems, IoT-connected bins, zero regulation, local incentives eco-friendly businesses support Antalya's transition governance. sustainability efforts have been significantly enhanced through community involvement, public awareness campaigns, school educational workshops, leading 20% increase household rates. success balancing economic growth environmental stewardship offers replicable model climate adaptation smart city integration tourism-dependent cities.

Language: Английский

Citations

0

Spatiotemporal Dynamics and Driving Factors of Urban Green Space in Texas (2001–2021): A Multi-Source Geospatial Analysis DOI Creative Commons

Tengfei Ma,

H Ye,

Yujing Lai

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1166 - 1166

Published: April 2, 2025

This study investigates the changes in urban green space coverage across 254 counties of varying types Texas from 2001 to 2021, aiming explore spatial patterns transformation and its socioeconomic driving factors. By analyzing Landsat remote sensing data building type datasets, combined with land use transition matrices, GIS statistics tools, regression analysis population GDP data, this comprehensively examines change different types. The results indicated significant differences cities: (1) Urban areas higher populations rankings, as well their surrounding regions, show a more pronounced trend converting into built-up areas, particularly expansion medium low-density areas. (2) In contrast, smaller cities rural occur at slower pace. Further reveals that spaces is primarily driven by residential development, about 39% high-density over 65% being replaced land. (3) indicate growth are main factors for changes, explaining up 86% 84% respectively. These findings provide important theoretical support practical guidelines conservation, planning, sustainable development policies.

Language: Английский

Citations

0