Literature DB >> 15921606

[The use of unsupervised classification of Landsat-5 TM images in analysing the types of vegetation in the areas of "breaking dikes or opening sluice for water store"].

Xiao-yong Sai1, Yong-ping Yan, De-zhong Xu, Zhi-ying Zhang, Kai-ping Cai, Yue-sheng Li, Xiao-nong Zhou.   

Abstract

OBJECTIVE: To clarify the change of vegetation types and its relationship between the density of alive-snails in the areas of "breaking dikes or opening sluice for water store" in Jicheng.
METHODS: Synthesized false color images of Jicheng before and after 1998 (1994 and 2003) were classified without supervision and results were compared. Vegetation types were identified on the spot.
RESULTS: Normalized difference vegetation index (NDVI) of snail habitats before 1998 were between 126 and 183 in Jicheng, whose vegetation types were mainly paddy, cotton and cabbage. NDVI of snail habitats in Jicheng after 1998 were between 152 and 193 whose vegetation types were mainly poplar forest, bulrush and grass. Areas of snail habitats increased from 64.64% to 66.47%. Snail habitats were mostly composed of mixed vegetation types and mono-typed vegetation was hardly found. According to the density of alive-snails orders from high to low were poplar forest and bulrush, poplar forest and grass, bulrush.
CONCLUSION: Vegetation types would not be identified by unsupervised classification only. Poplar forest, bulrush and grass were closedly related to the density of alive-snails.

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Mesh:

Year:  2005        PMID: 15921606

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  1 in total

1.  Creation of a Virtual Anatomy System based on Chinese Visible Human data sets.

Authors:  Binji Fang; Yi Wu; Chun Chu; Ying Li; Na Luo; Kaijun Liu; Liwen Tan; Shaoxiang Zhang
Journal:  Surg Radiol Anat       Date:  2016-09-23       Impact factor: 1.246

  1 in total

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