A study on water information extraction method of cyanobacteria lake based on Landsat8

doi:10.6046/gtzyyg.2019351

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Abstract

Since the 21st century, the outbreak of cyanobacteria in the Taihu Lake has seriously affected the development and utilization of local water resources. Based on Landsat8 imagery, this paper analyzes the spectral reflection characteristics of non-cyanobacteria water and cyanobacteria water. Cyanobacteria water shows strong reflectance characteristics in the near-infrared band, but the reflectance characteristics in the blue, green, red and shortwave-infrared bands are the same as those in non-cyanobacteria water. On such a basis, a method for extracting cyanobacteria water information, i.e., double infrared band water index (DIBWI), is proposed. On the basis of the Landsat8 imageries of 2014 and 2017 in Taihu Lake area, the comparison and analysis were made with the results of normalized difference water index (NDWI), modified normalized difference water index (MNDWI), new water index (NWI), multi-band water index (MBWI) and water index 2015 (WI₂₀₁₅), and the data of 2013, 2016 and 2018 were used for verification. The results show that DIBWI can extract the cyanobacteria water information, effectively eliminate the influence of cyanobacteria and better inhibit the background features. The overall accuracy is above 98%, and the Kappa coefficient is more than 0.95, which can provide technical support for the protection and reasonable development and utilization of water resources in Taihu Lake area.

Keywords Landsat8 cyanobacteria water information extraction DIBWI

TP79

Corresponding Authors: WEN Guangchao E-mail: 136794517@qq.com;149248664@qq.com

Issue Date: 23 December 2020

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	Lin WANG
	Hongbo XIE
	Guangchao WEN
	Yunhang YANG

Cite this article:

Lin WANG,Hongbo XIE,Guangchao WEN, et al. A study on water information extraction method of cyanobacteria lake based on Landsat8[J]. Remote Sensing for Land & Resources, 2020, 32(4): 130-136.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019351 OR https://www.gtzyyg.com/EN/Y2020/V32/I4/130

Fig.1 Study area

Tab.1 Typical water indexes

Fig.2 Average reflectance of surface features in Taihu Lake area

Fig.3 Modified surface feature spectrum

Fig.4 Water index values of various features under different coefficients a

Fig.5 Water extraction results based on different methods on October 26,2014

Fig.6 Water extraction results based on different methods on May 27,2017

Fig.7 Consistency test of extraction results based on different methods

Tab.2 Accuracy evaluation results

Tab.3 Validation

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