{"title":"Analyzing Urban Heat Islands in Pokhara Metropolitan City-Nepal through Remote Sensing Techniques","authors":"Utsav Jamarkattel , Badri Raj Lamichhane , Saurav Gautam , Niraj K.C. , Bikash Sherchan , Teerayut Horanont","doi":"10.1016/j.rsase.2025.101479","DOIUrl":null,"url":null,"abstract":"<div><div>This study provides a comprehensive analysis of the temporal and spatial dynamics of Surface Urban Heat Islands (SUHI) in Pokhara Metropolitan City, Nepal, over the period from 2013 to 2022. Utilizing advanced satellite data and various indices to quantify Land Surface Temperature (LST) variations, this research uniquely focuses on a rapidly urbanizing region in the context of a developing country facing the consequences of climate change. The results reveal significant temperature disparities between urban and suburban areas, with urban zones exhibiting markedly higher maximum (39.13 °C), mean (33.23 °C), and minimum (28.48 °C) LST values compared to their suburban counterparts (34.43 °C, 29.49 °C, and 25.90 °C, respectively). Temporal assessments indicate a consistent increase in LST and an expansion of thermal hotspots, particularly during warmer months, underscoring the intensifying SUHI effect. Correlation analyses further elucidate a moderate negative relationship between the Normalized Difference Vegetation Index (NDVI) and LST (r = -0.58), highlighting the cooling influence of vegetation, while a strong positive correlation with the Normalized Difference Built-up Index (NDBI) (r = 0.82) emphasizes the impact of urbanization on rising temperatures. These findings underscore an urgent need for sustainable urban planning that integrates green spaces and adaptive design strategies to mitigate SUHI effects, reduce thermal stress on residents, and enhance urban resilience against climate change impacts, thereby advocating for increased vegetation cover, sustainable construction practices, and innovative cooling solutions to improve overall urban living conditions.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"37 ","pages":"Article 101479"},"PeriodicalIF":3.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938525000321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study provides a comprehensive analysis of the temporal and spatial dynamics of Surface Urban Heat Islands (SUHI) in Pokhara Metropolitan City, Nepal, over the period from 2013 to 2022. Utilizing advanced satellite data and various indices to quantify Land Surface Temperature (LST) variations, this research uniquely focuses on a rapidly urbanizing region in the context of a developing country facing the consequences of climate change. The results reveal significant temperature disparities between urban and suburban areas, with urban zones exhibiting markedly higher maximum (39.13 °C), mean (33.23 °C), and minimum (28.48 °C) LST values compared to their suburban counterparts (34.43 °C, 29.49 °C, and 25.90 °C, respectively). Temporal assessments indicate a consistent increase in LST and an expansion of thermal hotspots, particularly during warmer months, underscoring the intensifying SUHI effect. Correlation analyses further elucidate a moderate negative relationship between the Normalized Difference Vegetation Index (NDVI) and LST (r = -0.58), highlighting the cooling influence of vegetation, while a strong positive correlation with the Normalized Difference Built-up Index (NDBI) (r = 0.82) emphasizes the impact of urbanization on rising temperatures. These findings underscore an urgent need for sustainable urban planning that integrates green spaces and adaptive design strategies to mitigate SUHI effects, reduce thermal stress on residents, and enhance urban resilience against climate change impacts, thereby advocating for increased vegetation cover, sustainable construction practices, and innovative cooling solutions to improve overall urban living conditions.
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems