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Proceedings Paper

Wetland extraction of Yancheng coastal area based on ALOS data
Author(s): Yongling Weng; Xingwang Fan; Jinmei Tao
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Paper Abstract

Jiangsu coastal area is abundant in wetland resources and possesses wetland reserve of global relevancy. However, the wetland area has been shrinking with more and more human activities. In this paper, 5 ALOS AVNIR-2 images as well as an additional TM image acquired at low tide level were selected to carry out a research of Yancheng coastal wetland. Characteristics of subcategories and vegetation coverage were surveyed during filed work before a 2-tier decision tree method was adopted to distinguish different wetland categories. At last, the total area was classified as 8 major wetland categories with an overall accuracy of 97.16% as well as Kappa coefficient of 0.96. Only 2 sampling sites biased in the classification when 28 field recorded samples were compared and the result was satisfying.

Paper Details

Date Published: 15 August 2011
PDF: 8 pages
Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030T (15 August 2011); doi: 10.1117/12.910408
Show Author Affiliations
Yongling Weng, Southeast Univ. (China)
State Key Lab. of Remote Sensing Science (China)
Xingwang Fan, Southeast Univ. (China)
Jinmei Tao, Southeast Univ. (China)


Published in SPIE Proceedings Vol. 8203:
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing
Qingxi Tong; Xingfa Gu; Boqin Zhu, Editor(s)

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