Information Extraction and Dynamic Changes ofWetland in Jiangsu Coastal Area Based on RS and GIS

ZHANG Jian, HE Qi-sheng, CUI Tong, SHI Peng-fei, YANG Tao

Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (4) : 144-150.

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Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (4) : 144-150. DOI: 10.11988/ckyyb.20160051
INFORMATION TECHNOLOGY APPLICATION

Information Extraction and Dynamic Changes ofWetland in Jiangsu Coastal Area Based on RS and GIS

  • ZHANG Jian1, HE Qi-sheng2, CUI Tong3, SHI Peng-fei3, YANG Tao3
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Abstract

Mastering the distribution and dynamic change characteristics of wetland could provide scientific basis for better protection of wetland. In this research we processed the remote sensing data of Jiangsu coastal wetlands in 1999, 2002, 2012 and employed maximum likelihood method to extract wetland information. On this basis we investigated the dynamic change of coastal wetland and analyzed the driving factors. Results showed that the total area of wetland in Jiangsu coastal area presented a declining trend. The proportion of artificial wetlands increased by 22.43%, and the proportion of natural wetlands decreased, accordingly. In addition, natural wetland presented a tendency that communities of Aeluropus littoralis and Artemisia halodendron reduced greatly, and Spartina experienced the process from widespread diffusion to relative stabilization. During the process of transfer, the biggest transfer-in area was artificial breeding pond, while the biggest transfer-out ratio changed from barren wetland to shallow waters. The main driving factor of coastal wetland change was the influence of human activities.

Key words

Jiangsu coastal area / wetland / information extraction / dynamic change / remote sensing / GIS(Geographic Information System) / driving factors

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ZHANG Jian, HE Qi-sheng, CUI Tong, SHI Peng-fei, YANG Tao. Information Extraction and Dynamic Changes ofWetland in Jiangsu Coastal Area Based on RS and GIS[J]. Journal of Changjiang River Scientific Research Institute. 2017, 34(4): 144-150 https://doi.org/10.11988/ckyyb.20160051

References

[1] 徐守国,郭辉军,田 昆.湿地功能研究进展[J].环境与可持续发展,2006,(5):12-14.
[2] 崔丽娟,张曼胤,王义飞.湿地功能研究进展[J].世界林业研究,2006,19(3):18-21.
[3] 李青山,张华鹏,崔 勇,等.湿地功能研究进展[J].科学技术与工程,2004,4(11):972-976.
[4] 玉苏普江·艾麦提,阿里木江·卡斯木,阿布都沙拉木·热合曼.基于RS和GIS的艾比湖湿地信息提取及面积动态分析[J].水资源保护,2014,30(2):57-61.
[5] 李东东,乔玉良,张青海.基于遥感技术的珠海市湿地动态变化分析与研究[J].气象与环境科学,2011,34(2):14-19.
[6] 黄 薇,陈 进.长江流域湿地保留率研究[J].长江科学院院报, 2007, 24(6) :10-13.
[7] 郭 彬,江春波,杨 展.黄河口湿地健康评价[J].长江科学院院报, 2010, 27(10) :44-49.
[8] 王 磊,邢 玮,季永华,等.江苏海岸湿地研究进展概述[J].江苏林业科技,2007,34(3):52-54.
[9] 姚志刚,陈玉清,袁 芳,等.江苏省滨海湿地现状、问题及保护对策[J].林业科技开发,2014,28(4):10-14.
[10]王敬华,何大巍,张 策,等.江苏盐城滨海湿地研究进展[J].湿地科学与管理,2011,7(3):60-63.
[11]张 柏.遥感技术在中国湿地研究中的应用[J].遥感技术与应用,1996,11(1):67-71.
[12]钟春棋,郑彩红.基于TM影像的闽江口湿地信息提取及其动态变化研究[J].国土资源遥感,2008,(1):38-42.
[13]李东颖,杨文波,王 琳,等.基于RS数据的黄河三角洲湿地信息提取及湿地动态变化研究[J].海洋湖沼通报,2012,(1):100-109.
[14]朱叶飞,蔡则健.基于RS与GIS技术的江苏海岸带湿地分类[J].江苏地质,2007,31(3):236-241.
[15]翟 可,刘茂松,徐 驰,等.盐城滨海湿地的土地利用/覆盖变化[J].生态学杂志,2009,28(6):1081-1086.
[16]左 平,李 云,赵书河,等.1976年以来江苏盐城滨海湿地景观变化及驱动力分析[J].海洋学报,2012,34(1):101-108.
[17]沈永明,冯年华,周 勤,等.江苏沿海滩涂围垦现状及其对环境的影响[J].海洋科学,2006,30(10):39-43.
[18]李玲玲,宫辉力,赵文吉.1996—2006年北京湿地面积变化信息提取与驱动因子分析[J].首都师范大学学报(自然科学版),2008,29(3):95-101.
[19]欧维新,杨桂山,于兴修,等.盐城海岸带土地利用变化的生态环境效应研究[J].资源科学,2004,26(3):76-83.
[20]杜培军,陈 宇,谭 琨.江苏滨海湿地土地利用/覆盖变化与地表温度响应遥感监测[J].国土资源遥感,2014,26(2):112-120.
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