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Detection of Coastal Saline Land Uses with Multi-Temporal Landsat Images in Shangyu City, China

Author

Listed:
  • ZHOU SHI

    (Institute of Agricultural Remote Sensing and Information System, Huajiachi Campus, Zhejiang University,, Hangzhou, China 310029)

  • RENCHAO WANG

    (Institute of Agricultural Remote Sensing and Information System, Huajiachi Campus, Zhejiang University,, Hangzhou, China 310029)

  • MING XIANG HUANG

    (Institute of Agricultural Remote Sensing and Information System, Huajiachi Campus, Zhejiang University,, Hangzhou, China 310029)

  • DIRK LANDGRAF

    (Institute of Soil Science, Technical University of Dresden, Tharandt, Germany)

Abstract

Many coastal regions in China are confronted with pressing problems of scarce land resources and heavy population. Over the past 30 years, considerable parts of coastal tidelands have been enclosed and reclaimed for agricultural land uses. To assess, plan, and implement large-scale reclamation programs, up-to-date and reliable information concerning the nature, areal extent, and physical and chemical characteristics of coastal saline lands is essential. This paper reports a remote sensing approach to detecting coastal saline land uses in Shangyu City, China, by using multi-temporal Landsat images. First, with the aid of resolution-sharpened Landsat-7 ETM+ images and their enhanced linear features, a visual interpretation is applied to extract individual dikes. Based on time series images and local government records, a spatial zoning procedure is then used to define six sub-zones with different historical years of reclamation. It shows that a total of 15,668 ha of coastal saline lands were enclosed and reclaimed from 1969 to 1996. Second, a modified land-use classification system for the study area is prescribed, and both unsupervised and supervised classifiers are performed for land-use classifications of grouped sub-zones. Information obtained from the spatial zoning, Tasseled Cap transformation and Normalized Difference Vegetation Index, is also utilized to facilitate the supervised classification process. Finally, a detailed land-use map is produced, with an overall classification accuracy of 77.8%. Results show that dominant agricultural land uses of sub-zones are changed with historical reclamation years, from saline lands with wildgrass (very recently reclaimed) to aqua-farm ponds, to cotton fields, and to paddy fields and orchards (very early reclaimed). This transform process is primarily affected by soil salinities, and according to a soil survey an electrical conductivity of saturation extract decreased from 7.3 ds/m in the saline land reclaimed in 1996 to below 2 ds/m in the land reclaimed before 1969. The study concludes that multi-temporal remotely sensed images are important and effective data sources for monitoring the rapid changes of coastal land uses.

Suggested Citation

  • Zhou Shi & Renchao Wang & Ming Xiang Huang & Dirk Landgraf, 2002. "Detection of Coastal Saline Land Uses with Multi-Temporal Landsat Images in Shangyu City, China," Environmental Management, Springer, vol. 30(1), pages 142-150, July.
  • Handle: RePEc:spr:envman:v:30:y:2002:i:1:d:10.1007_s00267-001-2645-8
    DOI: 10.1007/s00267-001-2645-8
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