• Acta Optica Sinica
  • Vol. 36, Issue 6, 601004 (2016)
Zhang Hailong1、2、*, Sun Deyong1、2, Li Junsheng3, Qiu Zhongfeng1、2, Wang Shengqiang1、2, and He Yijun1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/aos201636.0601004 Cite this Article Set citation alerts
    Zhang Hailong, Sun Deyong, Li Junsheng, Qiu Zhongfeng, Wang Shengqiang, He Yijun. Remote Sensing Algorithm for Detecting Green Tide in China Coastal Waters Based on GF1-WFV and HJ-CCD Data[J]. Acta Optica Sinica, 2016, 36(6): 601004 Copy Citation Text show less
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    [8] Xin Lei, Huang Juan, Liu Rongjie, et al.. An improved model for MODIS green tide covered area extraction based on mixed pixel decomposition[J]. Acta Laser Biology Sinica, 2014, 23(6): 585-589.

    [9] He Shijun, Tang Yingli, Zhang Ting, et al.. Weight analysis of each influence factor of the green tide disaster based on SVM[J]. China Environmental Science, 2015, 35(11): 3431-3436.

    [10] Yang Chaoyu. Effect of typhoon NALGAE on the distribution of phytoplankton[J]. Laser and Optoelectronics Progress, 2014, 51(10): 100101.

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    [15] Wu Chuanqing, Ma Wandong, Wang Xuelei, et al.. Remote sensing monitoring HAB in Yellow Sea by HJ1-CCD[J]. Environmental Monitoring in China, 2015, 31(3): 161-165.

    [16] Huete A R, Justice C. MODIS vegetation index (MOD13) algorithm theoretical basis document[Z/OL]. 3rd ed. 1999: 35-39[2016-12-25].http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf.

    [17] Ding Yi, Huang Juan, Cui Tingwei, et al.. The decomposition method of MODIS images enteromorpha mixed pixels based on the relationship of NDVI to abundance[J]. Acta Oceanologica Sinica, 2015, 37(7): 123-131.

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    Zhang Hailong, Sun Deyong, Li Junsheng, Qiu Zhongfeng, Wang Shengqiang, He Yijun. Remote Sensing Algorithm for Detecting Green Tide in China Coastal Waters Based on GF1-WFV and HJ-CCD Data[J]. Acta Optica Sinica, 2016, 36(6): 601004
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