Literature DB >> 28144869

Monitoring the changes in impervious surface ratio and urban heat island intensity between 1987 and 2011 in Szeged, Hungary.

László Henits1, László Mucsi2, Csilla Mariann Liska2.   

Abstract

Landsat time series data make it possible to continuously map and examine urban land cover changes and effects on urban environments. The objectives of this study are (1) to map and analyse an impervious surface and its changes within a census district and (2) to monitor the effects of increasing impervious surface ratios on population and environment. We used satellite images from 1987, 2003 and 2011 to map the impervious surface ratio in the census district of Szeged, Hungary through normalized spectral mixture analysis. Significant increases were detected from 1987 to 2011 in industrial areas (5.7-9.1%) and inner residential areas (2.5-4.8%), whereas decreases were observed in the city centre and housing estates due to vegetation growth. Urban heat island (UHI) values were derived from the impervious surface fraction map to analyse the impact of urban land cover changes. In 2011, the average value in the industrial area was 1.76 °C, whereas that in the inner residential area was 1.35-1.69 °C. In the city centre zones and housing estates, values ranging from 1.4 to 1.5 °C and from 1.29 to 1.5 °C, respectively, were observed. Our study reveals that long-term land cover changes can be derived at the district level from Landsat images and that their effects can be identified and analysed, providing important information for city planners and policy makers.

Keywords:  Census data; Impervious surface ratio; Land cover change; Landsat time series data; Spectral mixture analysis; Urban heat island

Mesh:

Year:  2017        PMID: 28144869     DOI: 10.1007/s10661-017-5779-8

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  5 in total

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4.  Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data.

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Journal:  Sensors (Basel)       Date:  2008-11-20       Impact factor: 3.576

5.  Improving Distributed Runoff Prediction in Urbanized Catchments with Remote Sensing based Estimates of Impervious Surface Cover.

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Journal:  Sensors (Basel)       Date:  2008-02-15       Impact factor: 3.576

  5 in total
  6 in total

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Journal:  Environ Monit Assess       Date:  2019-11-26       Impact factor: 2.513

2.  Analysis of urban heat island characteristics and mitigation strategies for eight arid and semi-arid gulf region cities.

Authors:  Ammar Abulibdeh
Journal:  Environ Earth Sci       Date:  2021-03-22       Impact factor: 2.784

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Review 4.  The Future of Climate-Resilient and Climate-Neutral City in the Temperate Climate Zone.

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5.  Evaluating contributions of urbanization and global climate change to urban land surface temperature change: a case study in Lagos, Nigeria.

Authors:  Liying Guo; Liping Di; Chen Zhang; Li Lin; Fei Chen; Alamin Molla
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

6.  Extraction of High-Precision Urban Impervious Surfaces from Sentinel-2 Multispectral Imagery via Modified Linear Spectral Mixture Analysis.

Authors:  Rudong Xu; Jin Liu; Jianhui Xu
Journal:  Sensors (Basel)       Date:  2018-08-31       Impact factor: 3.576

  6 in total

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