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Spatial Distribution of Surface Temperature and Land Cover: A Study Concerning Sardinia, Italy

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

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Abstract

Land surface temperature (LST) is a key climate variable that has been studied mainly at the urban scale and in the context of urban heat islands. By analyzing the connection between LST and land cover, this study shows the potential of LST to analyze the relation between urbanization and heating phenomena at the regional level. Land cover data, drawn from Copernicus, and LST, retrieved from Landsat 8 satellite images, are analyzed through a methodology that couples GIS and regression analysis. By looking at the Italian island of Sardinia as a case study, this research shows that urbanization and the spatial dynamics of heating phenomena are closely connected, and that intensively farmed areas behave quite similarly to urban areas, whereas forests are the most effective land covers in mitigating LST, followed by areas covered with Mediterranean shrubs. This leads to key policy recommendations that decision-makers could implement to mitigate LST at the regional scale and that can, in principle, be exported to regions with similar climate and land covers. The significance of this study can be summed up in its novel approach to analyzing the relationship between LST and land covers that uses freely available spatial data and, therefore, can easily be replicated in other regional contexts to derive appropriate policy recommendations.

This article is extracted from: Lai, S., Leone, F, Zoppi, C.: Spatial distribution of surface temperature and land cover: A study concerning Sardinia, Italy. Sustainability 12(8), 3186, 20 pp. (2020). https://doi.org/10.3390/su12083186.

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Acknowledgments

The study was implemented within the Research Program “Paesaggi rurali della Sardegna: pianificazione di infrastrutture verdi e blu e di reti territoriali complesse” [Rural landscapes of Sardinia: Planning policies for green and blue infrastructure and spatial complex networks], funded by the Autonomous Region of Sardinia for the period 2019–2021, under the provisions of the call for the presentation of “Projects related to fundamental or basic research” of the year 2017, implemented at the Department of Civil and Environmental Engineering and Architecture (DICAAR) of the University of Cagliari, Italy.

Sabrina Lai, Federica Leone, and Corrado Zoppi collaboratively designed this study. Individual contributions are as follows: Federica Leone wrote Sections “Introduction” and “Discussion”; Sabrina Lai wrote Sections “Study area”, “Data”, “LST Extraction and Mapping at the Regional Scale”, “Land Covers and Elevation” “Input Table for the Regression” and “LST Spatial Taxonomy Results”; Corrado Zoppi wrote Sections “Land Covers and LST”, “Regression Results”, and “Conclusions”.

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Authors and Affiliations

  1. Dipartimento di Ingegneria Civile, Ambientale e Architettura (DICAAR), University of Cagliari, Cagliari, Italy

    Sabrina Lai, Federica Leone & Corrado Zoppi

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  1. Sabrina Lai
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  2. Federica Leone
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  3. Corrado Zoppi
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Corresponding author

Correspondence to Federica Leone .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Lai, S., Leone, F., Zoppi, C. (2020). Spatial Distribution of Surface Temperature and Land Cover: A Study Concerning Sardinia, Italy. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_29

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  • DOI: https://doi.org/10.1007/978-3-030-58814-4_29

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