Spatiotemporal Influences of LULC Changes on Land Surface Temperature in Rapid Urbanization Area by Using Landsat-TM and TIRS Images

Eduardo Andre Kaiser*, Silvia Beatriz Alves Rolim, Atilio Efrain Bica Grondona, Cristiano Lima Hackmann, Rodrigo de Marsillac Linn, Pâmela Suélen Käfer, Nájila Souza da Rocha, Lucas Ribeiro Diaz

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The inverse correlation between NDVI and LST is widely known for its long time series. However, when more specific statistical tests were performed, subtle differences in the correlation behavior over time are more clearly observed. In this work, regression analyses were performed between NDVI and LST at intervals of approximately 10 years, quantifying this relationship for an area of transition from vegetation to urban occupation from 1985 to 2018. The removal of vegetation cover (reduction of 51% to 7% in grassland and 14.4% to 0.6% in forest) to occupy impermeable surfaces (increase of 31% to 91% in urban areas) caused an average LST increase of 4.18 °C when compared to the first and last decades of the historical series. Temporal analysis allowed us to verify the increase in temperature in the four seasons. The largest difference was 6.36 °C between the first and last decade of autumn, 4.40 °C in spring, 4.09 °C in summer, and 2.41 °C in winter. The results also show that LST has a negative correlation with NDVI, especially in urban areas, with an increase in this correlation during the period (1989: R = −0.55; 1999: R = −0.58; 2008: R = −0.59; 2018: R = −0.76). Our study results will help policymakers understand the dynamics of temperature increases by adding scientifically relevant information on the sustainable organization of the urban environment.

Original languageEnglish
Article number460
Pages (from-to)1-18
Number of pages18
JournalAtmosphere
Volume13
Issue number3
DOIs
Publication statusPublished - 11 Mar 2022

Bibliographical note

Funding Information:
Funding: This research received support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES).

Funding Information:
Acknowledgments: The authors would like to thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES) and the Laboratory of Geological Remote Sensing (Lab-SRGeo/UFRGS) for supporting this study.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Funding

Funding: This research received support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES). Acknowledgments: The authors would like to thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES) and the Laboratory of Geological Remote Sensing (Lab-SRGeo/UFRGS) for supporting this study.

FundersFunder number
Laboratory of Geological Remote Sensing
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

    Keywords

    • Land surface processes
    • Land use and land cover change
    • Porto Alegre four districts
    • Vegetation and urban modeling

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