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Short-Interval Monitoring of Land Use and Land Cover Change Using a Time Series of RADARSAT-2 Polarimetric SAR Images

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Space-Time Integration in Geography and GIScience

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Abstract

There are many illegal land use sites in develo** countries that are experiencing a process of rapid urbanization. Short-interval, such as monthly, land use and land cover (LULC) change information is important for detecting and preventing illegal land development at its early stage. Conventional optical remote sensing is limited by weather conditions and has great limitation in collecting images in regions characterized by frequent cloud cover. Radar remote sensing, not affected by clouds, is therefore an effective tool for collecting timely LULC information in these regions. Polarimetric synthetic aperture radar (PolSAR) is a currently advanced radar remote sensing technique. This study explores the potential of PolSAR data in short-interval monitoring of LULC change by using RADARSAT-2 PolSAR images. Monthly LULC changes were extracted from a time series of RADARSAT-2 images by using change vector analysis and post-classification comparison based on object-oriented image analysis. The average detection accuracy, average false alarm rate, and average overall error rate for change detection were 91.29 %, 1.37 %, and 1.97 % respectively. The average overall accuracy and average kappa value for determining types of changes were 72.44 % and 0.68 respectively. The results indicate that it is effective in using a time series of RADARSAT-2 PolSAR images in short-interval monitoring of LULC change, especially in monitoring potential illegal land development.

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Authors and Affiliations

  1. Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, Hong Kong

    Anthony Gar-On Yeh & Zhixin Qi

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  1. Anthony Gar-On Yeh
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  2. Zhixin Qi
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Correspondence to Anthony Gar-On Yeh .

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Editors and Affiliations

  1. Department of Geography and Geographic Information Science, University of Illinois, Urbana-Champaign, Illinois, USA

    Mei-Po Kwan

  2. Association of American Geographers, Washington, District of Columbia, USA

    Douglas Richardson

  3. Department of Geography, Hong Kong Baptist University, Hong Kong, China

    Donggen Wang

  4. Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Bei**g, China

    Chenghu Zhou

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Yeh, A.GO., Qi, Z. (2015). Short-Interval Monitoring of Land Use and Land Cover Change Using a Time Series of RADARSAT-2 Polarimetric SAR Images. In: Kwan, MP., Richardson, D., Wang, D., Zhou, C. (eds) Space-Time Integration in Geography and GIScience. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9205-9_19

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