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Remote Sensing Image Interpretation for Urban Environment Analysis: Methods, System and Examples

Peijun Du,Pei Liu,J. Xia,Li Feng,Sicong Liu,Kun Tan,Liang Cheng

Published 2014 in Remote Sensing

ABSTRACT

Remote sensing imagery has been widely used in urban growth and environment analysis with many effective and advanced strategies being developed. However, most of these approaches are separated from each other. There is an urgent need to combine different modules into some practical processing chains. Firstly, we present a comprehensive analysis of key processing chains in applying remote sensing images to urban environment analysis from such aspects as Land Use/Land Cover (LULC), urban landscape ecology, Urban Heat Islands (UHIs), vegetation and water monitoring, change detection, urban ecological security assessment and urban environmental mapping. Secondly, an integrated system, namely Urban Environment Analysis System (UEAS), is implemented based on the aforementioned processing chains to analyze urban environment using multi-temporal and multi-source remotely sensed data. Several case studies are demonstrated to confirm the effectiveness of the integrated system and the combined processing chains. The contributions of this paper lie in introducing ensemble learning to urban environment remote sensing, combining remote sensing derived information with thematic models for urban environment assessment, and developing an integrated system for urban environment analysis.

PUBLICATION RECORD

  • Publication year

    2014

  • Venue

    Remote Sensing

  • Publication date

    2014-10-02

  • Fields of study

    Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.3390/RS6109458
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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