Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Assessment of Changes in Land Use/Land Cover and Land Surface Temperatures and Their Impact on Surface Urban Heat Island Phenomena in the Kathmandu Valley (1988–2018)

Bibliographic Data

ID22034873
AuthorsOmar Sarif (0000-0002-7143-4522, Motilal Nehru National Institute of Technology), Bhagawat Rimal (0000-0001-7480-4165, Tribhuvan University, corresponding author), Nigel E Stork (0000-0001-7812-2452, Griffith University)
Year2020
Volume9
Issue12
Pages726
Publication date2020-12-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9120726
OpenAlexW3112193924
LanguageEN
Citations received8
References cited67

More than half of the world’s populations now live in rapidly expanding urban and its surrounding areas. The consequences for Land Use/Land Cover (LULC) dynamics and Surface Urban Heat Island (SUHI) phenomena are poorly understood for many new cities. We explore this issue and their inter-relationship in the Kathmandu Valley, an area of roughly 694 km2, at decadal intervals using April (summer) Landsat images of 1988, 1998, 2008, and 2018. LULC assessment was made using the Support Vector Machine algorithm. In the Kathmandu Valley, most land is either natural vegetation or agricultural land but in the study period there was a rapid expansion of impervious surfaces in urban areas. Impervious surfaces (IL) grew by 113.44 km2 (16.34% of total area), natural vegetation (VL) by 6.07 km2 (0.87% of total area), resulting in the loss of 118.29 km2 area from agricultural land (17.03% of total area) during 1988–2018. At the same time, the average land surface temperature (LST) increased by nearly 5–7 °C in the city and nearly 3–5 °C at the city boundary. For different LULC classes, the highest mean LST increase during 1988–2018 was 7.11 °C for IL with the lowest being 3.18 °C for VL although there were some fluctuations during this time period. While open land only occupies a small proportion of the landscape, it usually had higher mean LST than all other LULC classes. There was a negative relationship both between LST and Normal Difference Vegetation Index (NDVI) and LST and Normal Difference Moisture Index (NDMI), respectively, and a positive relationship between LST and Normal Difference Built-up Index (NDBI). The result of an urban–rural gradient analysis showed there was sharp decrease of mean LST from the city center outwards to about 15 kms because the NDVI also sharply increased, especially in 2008 and 2018, which clearly shows a surface urban heat island effect. Further from the city center, around 20–25 kms, mean LST increased due to increased agriculture activity. The population of Kathmandu Valley was 2.88 million in 2016 and if the growth trend continues then it is predicted to reach 3.85 million by 2035. Consequently, to avoid the critical effects of increasing SUHI in Kathmandu it is essential to improve urban planning including the implementation of green city technologies

Agricultural land · Agriculture · Geography · Impervious surface · Land cover · Land use · Meteorology · Physical geography · Urban area · Urban heat island · Environmental Science · Land Use and Ecosystem Services · Urban Green Space and Health · Urban Heat Island Mitigation · Ecology · Geology

  • Assessment of U.S. Urban Surface Temperature Using Goes-16 and Goes-17 Data

    Open Access•Jangho Lee•Weather, Climate, and Society•2024

  • Forecasting the urban footprint

    Open Access•Sanju Bala, Sajad Nabi Dar•SN Social Sciences•2025

  • Urban Overheating Assessment through Prediction of Surface Temperatures

    Open Access•Bilal Aslam, Ahsen Maqsoom et al.•ISPRS International Journal of…•2021

  • Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island

    Open Access•Auwalu Faisal Koko, Yue Wu et al.•ISPRS International Journal of…•2021

  • A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data

    Open Access•Barbara Cardone, Ferdinando Di Martino et al.•ISPRS International Journal of…•2024

  • Towards ecological civilization

    Open Access•Jiaxing Xin, Jun Yang et al.•Applied Geography•2024

  • Exploring the relationship between land use change patterns and variation in environmental factors within urban agglomeration

    Open Access•Rui Xiao, Hanyu Yin et al.•Sustainable Cities and Society•2024

  • Advances in space-scale farming

    Nadezhda Gavrilovskaya, Alexey Cheremisin et al.•International Journal of…•2023

  • Land use and land cover change in Greater Dhaka, Bangladesh

    Open Access•Ashraf Dewan, Ashraf M Dewan et al.•Applied Geography•2009

  • The surface urban heat island response to urban expansion

    Open Access•Xiaoma Li, Yuyu Zhou et al.•The Science of The Total…•2017

  • Effects of landscape composition and pattern on land surface temperature

    Open Access•Ronald C Estoque, Yumi Murayama et al.•The Science of The Total…•2017

  • World Map of the Köppen-Geiger climate classification updated

    Open Access•Markus Kottek, Jürgen Grieser et al.•Meteorologische Zeitschrift•2006

  • Land surface temperature retrieval from LANDSAT TM 5

    Open Access•José A Sobrino, Juan C Jiménez‐muñoz et al.•Remote Sensing of Environment•2004

  • Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies

    Open Access•Qihao Weng, Dengsheng Lu et al.•Remote Sensing of Environment•2004

  • A land use and land cover classification system for use with remote sensor data

    James R Anderson, Ernest E Hardy et al.•Professional Paper•1976

  • Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data

    Open Access•Ugur Avdan, Gordana Jovanovska•Journal of Sensors•2016

  • The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete

    Open Access•Abbas Mohajerani, Jason Bakaric et al.•Journal of Environmental Management•2017

  • Local Climate Zones for Urban Temperature Studies

    Iain D Stewart, T R Oke•Bulletin of the American…•2012

  • Assessment of urbanization and urban heat islands in Ho Chi Minh City, Vietnam using Landsat data

    Open Access•Nguyen Thanh Son, Nguyen-Thanh Son et al.•Sustainable Cities and Society•2017

  • Impact of land use change and urbanization on urban heat island in Lucknow city, Central India. A remote sensing based estimate

    Open Access•Prafull Singh, Noyingbeni Kikon et al.•Sustainable Cities and Society•2017

  • Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran

    Open Access•Mehdi Bokaie, Mirmasoud Kheirkhah Zarkesh et al.•Sustainable Cities and Society•2016

  • An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables

    Open Access•Xinmin Zhang, Ronald C Estoque et al.•Sustainable Cities and Society•2017

  • Contrasting responses of urban and rural surface energy budgets to heat waves explain synergies between urban heat islands and heat waves

    Open Access•Dan Li, Ting Sun et al.•Environmental Research Letters•2015

  • Urban growth and development of contemporary neighbourhood public space in Kathmandu Valley, Nepal

    Open Access•Rajjan Man Chitrakar, Douglas Baker et al.•Habitat International•2016

  • Rapid development as a factor of imbalance in urban growth of cities in Latin America

    Open Access•Salvador García-Ayllón•Habitat International•2016

  • Urban transformations as indicators of economic change in post-communist Eastern Europe

    Open Access•Salvador García-Ayllón•Habitat International•2018

Unique citing works8
Citations per year1,6
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae