Research on Poyang Lake Wetland Information Extraction and Change Monitoring Based on Spatial Data Mining

被引:4
|
作者
Liu, Chuanli [1 ]
Liu, Xiaosheng [1 ]
机构
[1] Jiangxi Univ Sci & Technol, JXUST, Sch Architectural & Surveying Engn, Ganzhou, Peoples R China
关键词
Spatial Data Mining; Wetland; Change Monitoring; Decision Trees Model;
D O I
10.1016/j.phpro.2012.05.231
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Poyang Lake wetland is the largest "kidney of the mainland". It plays an important role in many aspects such as water storage, flood control, climate mediation and biological diversity protection. This paper first reviews the development of wetland RS monitoring and probes RS classification methods based on Spatial Data Mining; secondly gives analysis on spectrum features of RS images of Poyang Lake wetland, and sets up the Decision Trees Model; and then classified RS image by Decision Trees Model in Expert Classifier module of Erdas Imagine 2010 software, and achieves a relatively high precision. Finally it gives dynamic change monitoring on Poyang Lake Wetland based on multi-temporal RS image and grasps the changed situation to provide scientific proof for government decision making. (C) 2012 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICMPBE International Committee.
引用
收藏
页码:1412 / 1419
页数:8
相关论文
共 50 条
  • [21] Information Security Monitoring System based on Data Mining
    Lv Guangjuan
    Xu Ruzhi
    Zu Xiangrong
    Deng Liwu
    [J]. FIFTH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY, VOL 1, PROCEEDINGS, 2009, : 472 - 475
  • [22] Effects of Land Use Types at Different Spatial Scales on Water Quality in Poyang Lake Wetland
    Fang, Na
    Liu, Ling-Ling
    You, Qing-Hui
    Tian, Na
    Wu, Yan-Ping
    Yang, Wen-Jing
    [J]. Huanjing Kexue/Environmental Science, 2019, 40 (12): : 5348 - 5357
  • [23] Research on Quick Monitoring and Evaluating of Flood Disaster in Poyang Lake Area Based on Remote Sensing
    Sun, Qun
    [J]. SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 740 - 743
  • [24] Monitoring the spatio-temporal dynamics of the wetland vegetation in Poyang Lake by Landsat and MODIS observations
    Mu, Shaojie
    Li, Bing
    Yao, Jing
    Yang, Guishan
    Wan, Rongrong
    Xu, Xibao
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 725
  • [25] Modeling spatial-temporal change of Poyang Lake marshland based on an uncertainty theory - random sets
    Zhao, Xi
    Stein, Alfred
    Chen, Xiaoling
    Feng, Lian
    [J]. 1ST CONFERENCE ON SPATIAL STATISTICS 2011 - MAPPING GLOBAL CHANGE, 2011, 3 : 105 - 110
  • [26] Based on high resolution of remote sensing data mining houses information extraction methods research
    Sun, Yanhua
    Wang, Ping
    [J]. PROGRESS IN CIVIL ENGINEERING, PTS 1-4, 2012, 170-173 : 2803 - 2807
  • [27] Research on spatial data mining based on knowledge discovery
    Zhong Qu
    Lian Wang
    [J]. COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS, 2006, 4114 : 946 - 951
  • [28] Monitoring the change of urban wetland using high spatial resolution remote sensing data
    Zhou, Huiping
    Jiang, Hong
    Zhou, Guomo
    Song, Xiaodong
    Yu, Shuquan
    Chang, Jie
    Liu, Shirong
    Jiang, Zishan
    Jiang, Bo
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (07) : 1717 - 1731
  • [29] Research on Geological Information Collection Based on Data Mining
    Zheng Q.
    Mok C.
    [J]. Arabian Journal of Geosciences, 2021, 14 (4)
  • [30] College information system research based on data mining
    Lan, An-yi
    Li, Jie
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (IACSIT ICMLC 2009), 2009, : 451 - 456