Extraction Method of Spectral Information of Inland Surface Water Body in Yellow River Basin

LI Wenping; WANG Xuhong; LI Tianwen; MAO Wenting; YAO Lei

doi:10.13961/j.cnki.stbctb.2017.02.024

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Extraction Method of Spectral Information of Inland Surface Water Body in Yellow River Basin

- Extraction Method of Spectral Information of Inland Surface Water Body in Yellow River Basin
- Bulletin of Soiland Water Conservation Vol. 37, Issue 2, Pages: 158-164(2017)
- 作者机构：
  
  西北大学城市与环境学院,陕西,西安,710127
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2017.02.024
  CLC：
- Published：2017
- 稿件说明：
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LI Wenping, WANG Xuhong, LI Tianwen, et al. Extraction Method of Spectral Information of Inland Surface Water Body in Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2017, 37(2): 158-164.
DOI：

LI Wenping, WANG Xuhong, LI Tianwen, et al. Extraction Method of Spectral Information of Inland Surface Water Body in Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2017, 37(2): 158-164. DOI： 10.13961/j.cnki.stbctb.2017.02.024.

摘要

[目的] 对黄河流域内陆地表水体提取方法进行对比分析，为有效提取含沙量大的黄河流域水体提供方法指导。[方法] 采用目前提取水体效果较好的两种方法——改进的水体指数法（MNDWI）和线性光谱混合模型（LSMM），以Landsat 8 OLI数据为例，选择黄河流域水库、湿地、湖泊和河流作为研究对象，将其划分为2大类，即水体和非水体，利用高分辨率影像进行精度分析，研究两种方法的区域适应性。[结果]（1）利用线性光谱混合模型在提取水库、湿地和湖泊比改进的水体指数模型精度更高；（2）利用这2种方法在提取面积较大、分布集中的水体比提取细长型分布的线状河流效果更好。[结论] 混合像元在高分辨率的影像中也是存在的，在水体提取的时候，利用线性光谱混合模型考虑了混合像元对水体提取的影响，极大提高了精度，试验证明线性光谱混合模型优于改进的水体指数法。

Abstract

[Objective] Extraction methods of spectral information of inland surface water in the Yellow River basin were elucidated and compared to provide guidance for the extraction of spectral information of water bodies with large sediment concentration in the Yellow River basin. [Methods] Two methods that were thought effective at present were chose to extract the spectral information of water body. They were modified normalized difference water index(MNDWI) and linear spectral mixture model. Landsat 8 OLI imagery of reservoir

wetland

lake and river in the Yellow River basin was exemplified to analyze the accuracies of the two methods

and to discuss the regional applicability. In which

the study area was divided into two categories: water and non-water

and high resolution imagery was referred.[Results] The accuracy of linear spectral mixture model in extracting spectral information of reservoir

wetland and lake was higher than that of the MNDWI. The two methods performed better in the large-area water bodies

such as lakes and reservoirs

than in the linear like body as rivers. [Conclusion] In high resolution image

mixed pixels were also existed. Based on that

the linear spectral mixture model had covered the effect of mixed pixels on the spectral information extraction from water bodies

whereby it remarkably improved the extraction precision. The linear spectral mixture model is superior to the modified normalized difference water index.

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