Water Body Extraction in Arid and Semiarid Areas Based on TM/ETM Remote Sensing

被引:0
|
作者
Yong, Ao [1 ]
Bin, Xu [1 ]
机构
[1] Changan Univ Xian, Sch Earth Sci & Resources, Xian, Peoples R China
关键词
thematic extraction; water body; remote sensing; semiarid area;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper, using TM/ETM images of Jinghuiqu Irrigation District in semiarid areas of Shaanxi Province, China, evaluated the multi-band water body extraction methods, such as threshold method, water index method, and spectral relationship method and so on. The experiment found that these methods were ineffective when extracting water body from the images of semi-arid area with the background of the betrunked river, the residential areas and the soil, and the extracted water body were incomplete. This paper presented a comprehensive extraction method, using (ETM2 + ETM3) / (ETM4 + ETM5)> I and Tasseled Cap Wetness (KT_3 > threshold) model, accurately extracted out the water body. This method reduced the error rate of the extraction, and it can effectively extract the tributaries and small water body. The experiment showed that the method met the accuracy demand (96.86%), and results of classification are better than that of common methods.
引用
收藏
页码:21 / 26
页数:6
相关论文
共 50 条
  • [1] Extraction Research of Remote Sensing Water Information Based on TM/ETM in Arid and Semiarid Areas
    Ao, Yong
    [J]. SENSOR LETTERS, 2013, 11 (04) : 736 - 740
  • [2] Remote Sensing and Modeling the Dynamics of Soil Moisture and Vegetative Cover of Arid and Semiarid Areas
    UMBC-GEST/NASA-GSFC, Hydrological Science Branch, Code 974.1, Greenbelt, MD, United States
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    [J]. Proc SPIE Int Soc Opt Eng, 1600, (51-60):
  • [3] Remote sensing and Modeling the dynamics of soil moisture and vegetative cover of arid and semiarid areas
    Zhan, XW
    Gao, W
    Qi, JG
    Houser, PR
    Slusser, JR
    Pan, XL
    Gao, ZQ
    Ma, YJ
    [J]. ECOSYSTEMS' DYNAMICS, AGRICULTURAL REMOTE SENSING AND MODELING, AND SITE-SPECIFIC AGRICULTURE, 2003, 5153 : 51 - 60
  • [4] Review of water body information extraction based on satellite remote sensing
    Li, Dan
    Wu, Baosheng
    Chen, Bowei
    Xue, Yuan
    Zhang, Yi
    [J]. Qinghua Daxue Xuebao/Journal of Tsinghua University, 2020, 60 (02): : 147 - 161
  • [5] Water body pollution monitoring in vigorous coal extraction areas using remote sensing data
    Oparin, V. N.
    Potapov, V. P.
    Giniyatullina, O. L.
    Andreeva, N. V.
    [J]. JOURNAL OF MINING SCIENCE, 2012, 48 (05) : 934 - 940
  • [6] Water body pollution monitoring in vigorous coal extraction areas using remote sensing data
    V. N. Oparin
    V. P. Potapov
    O. L. Giniyatullina
    N. V. Andreeva
    [J]. Journal of Mining Science, 2012, 48 : 934 - 940
  • [7] Delimitation of water areas using remote sensing in Brazil's semiarid region
    de Almeida, Debora Natalia Oliveira
    Araujo, Diego Cezar dos Santos
    Soares, Debora Rodrigues
    Maia, Francisco Marcelo de Alencar
    Montenegro, Suzana Maria Gico Lima
    dos Santos, Sylvana Melo
    de Oliveira, Leidjane Maria Maciel
    [J]. REVISTA BRASILEIRA DE CIENCIAS AMBIENTAIS, 2023, 58 (01): : 20 - 29
  • [8] OCNet-Based Water Body Extraction from Remote Sensing Images
    Weng, Yijie
    Li, Zongmei
    Tang, Guofeng
    Wang, Yang
    [J]. WATER, 2023, 15 (20)
  • [9] Water extraction based on self-fusion of ETM plus remote sensing data and normalized ratio index
    Li Wen-bo
    Zhang Qiu-wen
    [J]. GEOINFORMATICS 2006: REMOTELY SENSED DATA AND INFORMATION, 2006, 6419
  • [10] Mineralization information extraction using ETM remote sensing image
    Zhou, Linli
    Hu, Guangdao
    [J]. PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 2948 - 2950