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Water body information extraction based on Landsat TM remote sensing imagery

  • LIU Gui-Lin ,
  • ZHANG Luo-Cheng ,
  • LIU Jian ,
  • LI Guang-Yu
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  • 1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2012-05-10

  Revised date: 2013-01-16

  Online published: 2013-09-15

Abstract

In this work, Wuhu City in China was selected as the studied area. NDWI, MNDWI, LBV_B, KT3+TM4>TM2+TM7, and a new model KT3+TM2>TM4+TM3 were used to extract water body information based on Landsat TM data. Qualitative and quantitative comparisons were made. The results show that the new water information extraction model, KT3+TM2>TM4+TM3, is the most accurate(with a total accuracy of 93%), and its accuracy is less affected by vegetation and buildings.

Cite this article

LIU Gui-Lin , ZHANG Luo-Cheng , LIU Jian , LI Guang-Yu . Water body information extraction based on Landsat TM remote sensing imagery[J]. Journal of University of Chinese Academy of Sciences, 2013 , 30(5) : 644 -650 . DOI: 10.7523/j.issn.2095-6134.2013.05.011

References

[1] Luo J C,Sheng Y W,Shen Z F, et al. Water information automatic extraction based on multi-resolution remote sensing image using step iterative method[J].Journal of Remote Sensing,2010,41(6):144-151(in Chinese). 骆剑承,盛永伟,沈占锋,等.分布迭代的多光谱遥感水体信息高精度自动提取[J].遥感学报,2010,41(6):144-151.
[2] Ding F.Study on information extraction of water body with a new water index(NWI)[J].Science of Surveying and Mapping,2009,34(4):155-157(in Chinese). 丁凤.基于新型水体指数(NWI)进行水体信息提取的实验研究[J].测绘科学,2009,34(4):155-157.
[3] 钱乐祥.遥感数字影像处理及地理特征提取[M].北京:科学出版社,2004:221-228.
[4] Shih S F.Comparison of ELAS classifications and density slicing Landsat dada for water surface area assessment[J].Hydrologic Application of Space Technology,1985,160:91-97.
[5] Jupp D L B, Ma YO K K, Kuchl E R, et al.Landsat based interpretation of the cairns section of the great barrier reef marine park[M]. Melbourne:CSIRO Press, 1985.
[6] Johnston R, Barson M. Remote sensing of Australian wet-lands: An evaluation of Landsat TM data for inventory and classification[J]. Australian Journal of Marine and Freshwater Research, 1993, 44:235-252.
[7] Lu J J,Li S H. Improvement of the technique for distinguish water body from TM data[J].Remote Sensing of Environment China,1992, 7(1):17-23(in Chinese). 陆家驹,李士鸿.TM资料水体识别技术的改进[J].环境遥感,1992,7(1):17-23.
[8] 周成虎,骆剑承,杨晓梅,等.遥感影像地学理解与分析[M].北京:科学出版社,2001:68-86.
[9] Jia Y H,Li F F. A mew approach for extracting wetland information based on remote sensing Images[J]. Journal of Huazhong Normal University:Natural Science Edition,2007,41(4):641-644(in Chinese). 贾永红,李芳芳.一种新的湿地信息遥感提取方法研究[J].华中师范大学学报:自然科学版,2007,41(4):641-644.
[10] McFeeters S K.The use of normalized difference water index (NDWI) in the delineation of open water features[J].International Journal of Remote Sensing,1996,17(7):1 425-1 432.
[11] Xu H Q. A study on information extraction of water body with the modified normalized difference water index (MNDWI)[J].Journal of Remote Sensing,2005,9(5):589-595(in Chinese). 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.
[12] Cao R L,Li C J,Liu L Y,et al. Extracting Miyun reservoir's water area and monitoring its change based on a revised normalized different water index[J]. Science of Surveying and Mapping, 2008, 23(2):158-160(in Chinese). 曹荣龙,李存军,刘良云,等. 基于水体指数的密云水库面积提取及变化监测[J]. 测绘科学, 2008, 23(2):158-160.
[13] Yan P,Zhang Y J,Zhang Y. A study on information extraction of water enhanced water index(EWI)and GIS system in semi-arid regions with the based noise remove techniques[J].Remote Sensing Information, 2007(6):62-67(in Chinese). 闫霈,张友静,张元. 利用增强型水体指数(EWI)和GIS去噪音技术提取半干旱地区水系信息的研究[J]. 遥感信息, 2007(6):62-67.
[14] Lacaux P, Tourre Y M, Vignolles C, et al. Classification of ponds from high-spatial resolution remote sensing: application to rift valley fever epidemics in senegal[J]. Remote Sensing of Environment, 2007, 106(1): 66-74.
[15] Zhong C Q,Zeng C S,Liu Z Z. Study on terrestrial water information identified based on the analysis of spectral signature and ratio index[J]. Geo-Information Science,2008,10(5):663-669(in Chinese). 钟春棋,曾从盛,柳铮铮. 基于谱间特征与比值型指数的水体影像识别分析[J]. 地球信息科学, 2008, 10(5):663-669.
[16] 赵英时. 遥感应用分析原理与方法[M].北京:科学出版社,2003:414-416.
[17] Zeng Z Y. A new method of data transformation for satellite images:I.Methodology and transformation equations for TM images[J].Remote Sensing,2007,28(18):4 095-4 124.
[18] Kauth R J,Thomas G S. The tasseled cap: a graphic description of spectral-temporal development of agricultural crops as seen by Landsat[R]. Purdue e-Pubs, Purdue University, 1976,41-51.
[19] Wei X J,Lü C W,Deng L L. Extraction method of remote sensing information of greenbelt:a case study of Wuhu city[J].Journal of Northeast of Forestry University,2010,38(12):77-79(in Chinese). 尉雪敬,吕成文,邓玲玲. 绿地信息遥感提取分析:以芜湖市为例[J]. 东北林业大学学报, 2010, 38(12):77-79.
[20] Tian Y,Zhou B G,Zhang L. Discuss on the type and the development model of ecotourism resources in Wuhu city[J].Environmental Science and Management,2009, 34(3):168-172(in Chinese). 田艳,周秉根,张力. 芜湖市生态旅游资源类型与发展模式探讨[J]. 环境科学与管理, 2009, 34(3):168-172.
[21] Zhang J L,Su Y Y,Wang H B,et al. Urban spatial expansion of Wuhu city based on remote sensing technology and its driving forces[J]. Area Research and Development,2008, 27(2):123-127(in Chinese). 章剑龙,苏玉燕,汪洪波,等. 芜湖市城市扩展的遥感监测及驱动力研究[J]. 地域研究与开发, 2008, 27(2): 123-127.
[22] Mo W H,Sun H,Zhong S Q,et al. Research on the CIWI model and its application[J].Remote Sensing Information,2007(5):16-21(in Chinese). 莫伟华,孙涵,钟仕全,等. MODIS水体指数模型(CIWI)研究及其应用[J]. 遥感信息, 2007(5): 16-21.
[23] 孙家炳. 遥感原理与应用[M].武汉:武汉大学出版社,2003.
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