Analyzing Urban Heat Islands in Pokhara Metropolitan City-Nepal through Remote Sensing Techniques

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2025-01-01 DOI:10.1016/j.rsase.2025.101479
Utsav Jamarkattel , Badri Raj Lamichhane , Saurav Gautam , Niraj K.C. , Bikash Sherchan , Teerayut Horanont
{"title":"Analyzing Urban Heat Islands in Pokhara Metropolitan City-Nepal through Remote Sensing Techniques","authors":"Utsav Jamarkattel ,&nbsp;Badri Raj Lamichhane ,&nbsp;Saurav Gautam ,&nbsp;Niraj K.C. ,&nbsp;Bikash Sherchan ,&nbsp;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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
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
期刊最新文献
Improved radar vegetation water content integration for SMAP soil moisture retrieval Applications, challenges and perspectives for monitoring agricultural dynamics in the Brazilian savanna with multispectral remote sensing Exploring the link between spectra, inherent optical properties in the water column, and sea surface temperature and salinity Pasture monitoring using remote sensing and machine learning: A review of methods and applications Mapping crop water productivity of rice across diverse irrigation and fertilizer rates using field experiment and UAV-based multispectral data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1