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ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS) v.124, 2017년, pp.119 - 132   SCIE
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Characterizing the relationship between land use land cover change and land surface temperature

Tran, Duy X. (Department of Geography, Hanoi National University of Education, Hanoi 10000, Viet Nam ); Pla, Filiberto (Institute of New Imaging Technologies, Universidad Jaume I, 12071 Castellón, Spain ); Latorre-Carmona, Pedro (Institute of New Imaging Technologies, Universidad Jaume I, 12071 Castellón, Spain ); Myint, Soe W. (School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287-0104, United States ); Caetano, Mario (Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa (ISEGI-NOVA), 1070-312 Lisboa, Portugal ); Kieu, Hoan V. (Department of Geography, Hanoi National University of Education, Hanoi 10000, Viet Nam );
  • 초록  

    Abstract Exploring changes in land use land cover (LULC) to understand the urban heat island (UHI) effect is valuable for both communities and local governments in cities in developing countries, where urbanization and industrialization often take place rapidly but where coherent planning and control policies have not been applied. This work aims at determining and analyzing the relationship between LULC change and land surface temperature (LST) patterns in the context of urbanization. We first explore the relationship between LST and vegetation, man-made features, and cropland using normalized vegetation, and built-up indices within each LULC type. Afterwards, we assess the impacts of LULC change and urbanization in UHI using hot spot analysis (Getis-Ord Gi ∗ statistics) and urban landscape analysis. Finally, we propose a model applying non-parametric regression to estimate future urban climate patterns using predicted land cover and land use change. Results from this work provide an effective methodology for UHI characterization, showing that (a) LST depends on a nonlinear way of LULC types; (b) hotspot analysis using Getis Ord Gi ∗ statistics allows to analyze the LST pattern change through time; (c) UHI is influenced by both urban landscape and urban development type; (d) LST pattern forecast and UHI effect examination can be done by the proposed model using nonlinear regression and simulated LULC change scenarios. We chose an inner city area of Hanoi as a case-study, a small and flat plain area where LULC change is significant due to urbanization and industrialization. The methodology presented in this paper can be broadly applied in other cities which exhibit a similar dynamic growth. Our findings can represent an useful tool for policy makers and the community awareness by providing a scientific basis for sustainable urban planning and management.


  • 주제어

    Urban heat island .   Land use land cover change .   Kernel ridge regression .   Urbanization.  

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