资源科学

Resources Science ›› 2019, Vol. 41 ›› Issue (4): 790-802.doi: 10.18402/resci.2019.04.15

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Temperature vegetation water index: A novel stabilized threshold method for lake surface water mapping

ZHU Xiaoqiang1,2,3, DING Jianli1,2, XIA Nan1,2, GUO Jiaxin1,2, ZHANG Shuxia1,2, YANG Tongtong1,2, WANG Jingzhe1,2, LI Xiaohang1,2   

  1. 1. College of Resources and Environment Science, Xinjiang University, Urumqi 830046, China;
    2. Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046, China;
    3. The Smart City Research Institute of China Electronics Technology Group Corporation, Shenzhen 518035, China
  • Received:2017-04-27 Revised:2017-08-23 Published:2019-04-25

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Abstract: Considering that the traditional water indices have no exact threshold value to distinguish water body from other land cover types, in this study a novel method was proposed, in which the reflectance value “0” is used as a segmentation line to distinguish water body from other land cover types. Landsat 8 satellite data of Ebinur Lake, Bosten Lake, Poyang Lake, and Alakol Lake from different years were acquired and used to analyze the reflectance value and spectral and principal component space features of water and other land cover types. A novel water index named temperature vegetation water index (TVWI) was constructed. Maximum likelihood classification was used to extract water areas as the ground truth data. Compared with traditional water extraction indices, the results indicate that the overall TVWI water extraction accuracy in May 2013 and May 2016 is 98.51% and 97.33%, and Kappa coefficients are 0.97 and 0.95 correspondingly in Ebinur Lake. The overall TVWI water extraction accuracy in Bosten Lake is 99.66%, Poyang Lake is 98.06%, and Alakol Lake is 99.72%. The overall accuracy is better than the traditional methods, which implies that extracting water information by using TVWI method is feasible. In TVWI the reflectance value of 0 is the segmentation value to classify water and non-water areas. There are higher noise values at the lakefront but the values of water area are higher than 0, so there is a visible distinction between water and other land cover types. As a result, water information can be easily extracted by using the TVWI method. In conclusion, extracting Ebinur water information using the Landsat 8 satellite data from 29 May 2013 and 21 May 2016 yielded better result, and the overall accuracy and Kappa coefficient are the best compared with the three traditional water indices that we compared. The adaptation of TVWI to different lakes was analyzed and the accuracy of water extraction in different types of lake is higher than other methods.

Key words: water information extraction, threshold, Temperature Vegetation Water Index (TVWI), noise value, Ebinur Lake, Bosten Lake, Poyang Lake, Alakol Lake