[1]蒋佳文,温小荣*,王海龙,等. 10年间盐城滨海湿地类型信息提取及动态变化分析[J].西北林学院学报,2019,34(3):167-173.[doi:10.3969/j.issn.1001-7461.2019.03.26]
　JIANG Jia-wen,WEN Xiao-rong*,WANG Hai-long,et al. Extraction and Dynamic Change Analysis of Coastal Wetland Type Information in Yancheng over the Past Decade[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2019,34(3):167-173.[doi:10.3969/j.issn.1001-7461.2019.03.26]
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 10年间盐城滨海湿地类型信息提取及动态变化分析()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第34卷
期数:
2019年第3期
页码:
167-173
栏目:
出版日期:
2019-05-31

文章信息/Info

Title:
 Extraction and Dynamic Change Analysis of Coastal Wetland Type Information in Yancheng over the Past Decade
文章编号:
1001-7461(2019)03-0167-07
作者:
 蒋佳文1; 2; 温小荣1; 2*; 王海龙1; 2; 佘光辉1; 2; 林国忠1; 2
 （1.南京林业大学 南方现代林业协同创新中心，江苏 南京 210037；2.南京林业大学 林学院，江苏 南京 210037）
Author(s):
 JIANG Jia-wen1; 2; WEN Xiao-rong1; 2*; WANG Hai-long1; 2; SHE Guang-hui1; 2; LIN Guo-zhong1; 2
 ( 1.Co-Innovation for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,Jiangsu,China; 2.College of Forestry,Nanjing Forestry University,Nanjing 210037,Jiangsu,China)
关键词:
 ; 多元特征; 面向对象; CART决策树; 信息提取; 空间分布
Keywords:
 ; multivariate feature;  object-based;  CART decision tree;  information extraction;  spatial distribution
分类号:
S157
DOI:
10.3969/j.issn.1001-7461.2019.03.26
文献标志码:
A
摘要:
 高时效地掌握湿地类型分布及动态变化特征能为更好地保护湿地提供科学依据。选用盐城国家级珍禽自然保护区核心区2005、2015年2期遥感数据，在探索典型湿地类型多元特征的基础上，结合CART决策树分类模型，采用面向对象的湿地类型信息提取方法，对10 a间研究区各湿地类型动态变化进行分析。结果表明：1）基于面向对象的CART决策树可以实现研究区湿地类型精细化分类，分类总体精度均达85%以上。2）10 a间研究区内芦苇面积变化最大，从3 005.56 hm2增加到5 882.40 hm2；水域面积变化最小，从10 986.93 hm2减少到10 216.46 hm2。3）研究区碱蓬空间格局变化主要在核心区中部，呈现不断减少的趋势；米草的空间格局变化主要在核心区东部和西南部，呈现不断向东西两向扩张的趋势；芦苇空间格局变化主要在西北和西南区域，呈现不断向西扩张的趋势。
Abstract:
 Effectively regulating the distributions and monitoring dynamic changes for the characteristics of wetland can provide scientific basis for the better protection of wetland.This study took the core area of Yancheng National Nature Reserve as the research object,and explored the multiple characteristics of typical wetland types based on the remote sensing image data of 2005 and 2015.Combining CART decision tree classification model and focusing on the study of different wetland type information extraction with object-based methods,the dynamic changes of various wetland types in the study area in the past ten years were analyzed.The results showed that 1) the classification method based on object-oriented CART decision tree could realize the fine classification of wetland types in the study area.The overall accuracy of the three stages of image classification was over 85%.2) In the past ten years,the area of Phragmites australis changed mostly from 3 005.56 hm2 to 5 882.40 hm2; the water body presented little change in area.It decreased from 10 986.93 hm2 to 10 216.46 hm2.3) Spatial pattern change of Suaeda glauca in the core area was mainly in the central part,showing a continuously decreasing trend.The spatial pattern of the Spartina spp.was mainly in the east and southwest of the core area,showing a trend of continuous expansion in both east and west directions; the spatial pattern of Phragmites australis was mainly in the northwest and southwest regions,showing a trend of continuous expansion to the west.

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备注/Memo

备注/Memo:
 收稿日期：2018-07-11修回日期：2018-09-13
基金项目：国家重点研发计划课题（2016YFC0502704）；江苏省林业三新工程（LYSX［2015］19）；江苏省高校优势学科建设工程自助项目（PAPD）。
作者简介：蒋佳文，男，硕士在读，研究方向：3S技术与森林资源动态监测。E-mail:1054191055@qq.com
*通信作者：温小荣，男，博士，副教授，研究方向：森林经理及3S技术应用。E-mail:njw9872@163.com
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