• Journal of Atmospheric and Environmental Optics
  • Vol. 16, Issue 6, 520 (2021)
Mingcan CHAO1、*, Qiang ZHAO2, Tieli YANG1, and Fazhi XIE2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1673-6141.2021.06.006 Cite this Article
    CHAO Mingcan, ZHAO Qiang, YANG Tieli, XIE Fazhi. Comparative Research of Cyanobacteria Blooms Extraction Methods Based on Landsat8 Images[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(6): 520 Copy Citation Text show less
    References

    [1] Xie Guoqing, Li Meng, Lu Weikun, et al. Spectral features, remote sensing identification and breaking-out meteorological conditions of algal bloom in Lake Dinachi[J]. Journal of Lake Sciences, 2010, 22(3): 327-336.

    [2] Wen Xinlong, Jing Yuanshu, Zhang Di. Review on application of common satellite sensors in monitoring algal blooms[J]. Environmental Science & Technology, 2014, 37(1): 81-87.

    [3] Gower J, Hu C, Borstad G, et al. Ocean color satellites show extensive lines of floating sargassum in the gulf of Mexico[J]. IEEE Transactions on Geoscience & Remote Sensing, 2006, 44(12): 3619-3625.

    [4] Duan Hongtao, Zhang Shouxuan, Zhang Yuanzhi. Cyanobacteria bloom monitoring with remote sensing in Lake Taihu[J]. Journal of Lake Sciences, 2008, 20(2): 145-152.

    [5] Tang Xiaoxian, Shen Ming, Duan Hongtao. Temporal and spatial distribution of algal blooms in Lake Chaohu, 2000-2015[J]. Journal of Lake Sciences, 2017, 29(2): 276-284.

    [6] Zhang Jiao, Chen Liqiong, Chen Xiaoling. Monitoring the cyanobacterial blooms based on remote sensing in Lake Erhai by FAI[J]. Journal of Lake Sciences, 2016, 28(4): 718-725.

    [7] Zhang Dongyan, Yin Xun, She Bao, et al. Using multi-source satellite imagery data to monitor cyanobacterial blooms of Chaohu Lake[J]. Infrared and Laser Engineering, 2019, 48(7): 0726004.

    [8] Feng Honge, Li Jiaguo, Zhu Yunfang, et al. Synergistic inversion method of chlorophyll a concentration in GF-1 and Landsat8 imagery: A case study of the Taihu Lake[J]. Remote Sensing for Land & Resources, 2019, 31(4): 182-189.

    [9] McFeeters S K. The use of the normalized difference water index (NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 1996, 17(7): 1425-1432.

    [10] Xu Hanqiu. A study on information extraction of water body with the modified normalized difference water index (MNDWI)[J]. Journal of Remote Sensing, 2005, (5): 589-595.

    [11] Huete A, Didan K, Miura T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote sensing of Environment, 2002, 83(1-2): 195-213.

    [12] Hu C. A novel ocean color index to detect floating algae in the global oceans[J]. Remote Sensing of Environment, 2009, 113(10): 2118-2129.

    [13] Fang Xu, Duan Hongtao, Cao Zhigang, et al. Remote monitoring of cyanobacterial blooms using multi-source satellite data: A case of Yuqiao Reservoir Tianjin[J]. Journal of Lake Sciences, 2018, 30(4): 967-978.

    CHAO Mingcan, ZHAO Qiang, YANG Tieli, XIE Fazhi. Comparative Research of Cyanobacteria Blooms Extraction Methods Based on Landsat8 Images[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(6): 520
    Download Citation