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2024 , Vol. 41 >Issue 6: 755 - 765

DOI: https://doi.org/10.7523/j.ucas.2023.088

Research Articles

Comparison study on classification accuracy of 11 common water indices based on Landsat 8 OLI images

  • LI Longjie ,
  • YANG Yonghui
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  • Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences/CAS Key Laboratory of Agricultural Water Resources/Hebei Key Laboratory of Water-saving Agriculture, Shijiazhuang 050022, China;University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2023-06-25

  Revised date: 2023-11-13

  Online published: 2023-11-13

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Abstract

Water index is one of the most effective methods to extract water bodies from remote sensing images. There are many kinds of water index, each with its own characteristics. It is, therefore, necessary to select the index with best classification accuracy. Taking Shijiazhuang City as the research area, 11 common water indices were used to extract water bodies from Landsat 8 OLI images. The accuracy of the water index extraction results is validated by using the visual interpretation (VI) result as the standard classification map from Sentinel-2 MSI based on the area test method in combination with transition matrix and sampling test method. Results show little difference in the extraction of large water bodies among different water indices. Small ponds and rivers can better check the extraction ability of water index. It is proved that Water Index 2019 (WI2019) has the best water classification. WI2019 is then used to find out the recent expansion of water bodies after the start of South-to-North Water Diversion Project for water transfer. It was found that the area of surface water body in Shijiazhuang excluding large reservoirs increased significantly, from 42 km2 in 2014 to 62 km2 in 2020, an increase of 20 km2. In view of the canal seepage control treatment at the bottom of most newly added water bodies, with poor groundwater recharge function, and more ineffective evaporation, it is recommended to properly control the scale of water bodies in order to effectively reduce the waste of water transferred from outside.

Key words： water index; accuracy validation; Landsat 8 OLI; GEE; South-to-North Water Diversion Project

Cite this article

LI Longjie , YANG Yonghui . Comparison study on classification accuracy of 11 common water indices based on Landsat 8 OLI images[J]. Journal of University of Chinese Academy of Sciences, 2024 , 41(6) : 755 -765 . DOI: 10.7523/j.ucas.2023.088

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