Temperature vegetation water index: A novel stabilized threshold method for lake surface water mapping
Temperature vegetation water index: A novel stabilized threshold method for lake surface water mapping
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发表时间：
2019
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通讯作者：
Z. Xiaoqiang;Ding Jianli;Xia Nan;Guo Jiaxin;Zhang Shuxia;Yang;Tongtong;Wang Jingzhe;Li Xiaohang
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作者：
Z. Xiaoqiang;Ding Jianli;Xia Nan;Guo Jiaxin;Zhang Shuxia;Yang;Tongtong;Wang Jingzhe;Li Xiaohang
针对传统的水体指数没有准确的阈值来区分水体与其他土地覆盖类型的问题，提出了一种新的水体指数划分方法，即以反射率值“0“作为水体与其他土地覆盖类型的分割线。利用不同年份艾比湖、博斯腾湖、鄱阳湖和阿拉库湖的Landsat 8卫星数据，分析了水体和其他土地覆盖类型的反射率值、光谱和主成分空间特征。提出了一种新的水分指数--温度植被水分指数（TVWI）。最大似然分类用于提取水域作为地面实况数据。结果表明，在艾比湖，2013年5月和2016年5月TVWI水提取的总体准确率分别为98.51%和97.33%，Kappa系数分别为0.97和0.95。在博斯腾湖、鄱阳湖和阿拉湖，TVWI水提取的总体准确率分别为99.66%、98.06%和99.72%。总体精度优于传统方法，说明利用TVWI方法提取水体信息是可行的。在TVWI中，反射率值0是划分水域和非水域的分割值。湖滨区的噪声值较高，但水域的值大于0，因此水域和其他土地覆盖类型之间存在明显的区别。结果，可以通过使用TVWI方法容易地提取水信息。总之，利用2013年5月29日和2016年5月21日的Landsat 8卫星数据提取艾比湖水信息取得了更好的结果，与我们比较的三个传统水指数相比，整体精度和Kappa系数最好。分析了TVWI对不同类型湖泊的适应性，其对不同类型湖泊水体提取的准确性均高于其他方法。
: 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.