Regional difference of coastal land use around the Bohai sea based on remote sensing images
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  • 作者:Anning Suo ; Yong Lin ; Minghui Zhang
  • 关键词:Land use ; Coastal zone ; Regional difference ; Remote sensing
  • 刊名:Multimedia Tools and Applications
  • 出版年:2016
  • 出版时间:October 2016
  • 年:2016
  • 卷:75
  • 期:19
  • 页码:12061-12075
  • 全文大小:3,491 KB
  • 刊物类别:Computer Science
  • 刊物主题:Multimedia Information Systems
    Computer Communication Networks
    Data Structures, Cryptology and Information Theory
    Special Purpose and Application-Based Systems
  • 出版者:Springer Netherlands
  • ISSN:1573-7721
  • 卷排序:75
文摘
With the thriving development of high spatial resolution sensors, an increasing number of metric and sub-metric resolution remote sensing images are currently available, which allows for accurate geometrical analysis of objects at fine scales. Aimed to reveal the regional difference of coast land use in the Bohai Sea, series remote sensing images of HJ-1ACCD obtained in July of 2013 were employed to monitor land use in 5 km coastal zone of 13 regions around the Bohai Sea. Some evaluation index, such as dominant land use type, land use dominant index and land use intensity index were established to evaluate the regional difference of land use in the coast zone. The result shows: there exist obviously regional differences in coast land use around the Bohai Sea. Some regions such as Huludao and Yantai are typical farmland landscape. Some regions such as Dongying and Panjin are typical reed wetland landscape, While Cangzhou is typical fishpond landscape, Weifang and Binzhou are typical salt pond landscape. Land use in coast of Huludao, Yantai and Weifang are single dominated structure, the dominant land use type are farmland in Huludao and Yantai. It is salt pond in Weifang. Their dominant index is all above 0.34. Land use in coast of Tianjin, Qinhudao and other 8 regions are dual structure. The dominant index of dominant land use type ranged from 0.10 to 0.30. The land use intensity index is biggest in coast of Tianjin and Cangzhou with value 2.15 and 2.12, respectively.

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