光学学报, 2016, 36 (6): 0601004, 网络出版: 2016-06-06   

基于GF1-WFV和HJ-CCD数据的我国近海绿潮遥感监测算法研究

Remote Sensing Algorithm for Detecting Green Tide in China Coastal Waters Based on GF1-WFV and HJ-CCD Data
作者单位
1 南京信息工程大学海洋科学学院, 江苏 南京 210044
2 南京信息工程大学江苏省海洋环境探测工程技术研究中心, 江苏 南京 210044
3 中国科学院遥感与数字地球研究所数字地球重点实验室, 北京 100094
引用该论文

张海龙, 孙德勇, 李俊生, 丘仲锋, 王胜强, 何宜军. 基于GF1-WFV和HJ-CCD数据的我国近海绿潮遥感监测算法研究[J]. 光学学报, 2016, 36(6): 0601004.

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): 0601004.

参考文献

[1] 叶娜, 贾建军, 田静, 等. 浒苔遥感监测方法的研究进展[J]. 国土资源遥感, 2013, 25(1): 7-12.

    Ye Na, Jia Jianjun, Tian Jing, et al.. Advances in the study of ulvapolifera monitoring with remote sensing[J]. Remote Sensing for Land and Resources, 2013, 25(1): 7-12.

[2] 邢前国, 郑向阳, 施平, 等. 基于多源、多时相遥感影像的黄、东海绿潮影响区检测[J]. 光谱学与光谱分析, 2011, 31(6): 1644-1647.

    Xing Qianguo, Zheng Xiangyang, Shi Ping, et al.. Monitoring “green tide” in the Yellow Sea and the East China Sea using multi-temporal and multi-source remote sensing images[J]. Spectroscopy and Spectral Analysis, 2011, 31(6): 1644-1647.

[3] 中华人民共和国国土资源部. 中国海洋灾害公报[R/OL]. [2015-12-25] .http://www.mlr.gov.cn/zwgk/tjxx/.

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

[5] 赵文静, 张杰, 崔廷伟, 等. 水下悬浮浒苔海面光谱响应的辐射传输模拟[J]. 光谱学与光谱分析, 2009, 29(6): 1656-1660.

    Zhao Wenjing, Zhang Jie, Cui Tingwei, et al.. Enteromorpha prolifera underwater spectral research based on simulation of radiation transmission[J]. Spectroscopy and Spectral Analysis, 2009, 29(6): 1656-1660.

[6] Shi W, Wang M. Green macroalgae blooms in the Yellow Sea during the spring and summer of 2008[J]. Journal of Geophysical Research Atmospheres, 2009, 114(C12): 207-211.

[7] 施英妮, 石立坚, 夏明, 等. HJ-1A/1B星CCD传感器数据在黄东海浒苔监测中的应用[J]. 遥感信息, 2012(2): 47-50.

    Shi Yingni, Shi Lijian, Xia Ming, et al.. The application of HJ-lA/1B′s CCD data to entermorpha prolifera monitoring over the Yellow Sea and East Sea[J]. Remote Sensing Information, 2012(2): 47-50.

[8] 辛蕾, 黄娟, 刘荣杰, 等. 基于混合像素分解的MODIS绿潮覆盖面积精细化提取方法研究[J]. 激光生物学报, 2014, 23(6): 585-589.

    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] 何世钧, 唐莹莉, 张婷, 等. 基于支持向量机的绿潮灾害影响因素的权重分析[J]. 中国环境科学, 2015, 35(11): 3431-3436.

    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] 杨超宇. 浮游植物分布对强台风尼格的响应[J]. 激光与光电子学进展, 2014, 51(10): 100101.

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

[11] 郭宇龙, 李云梅, 王桥, 等. 一种新的水体叶绿素a指数及其应用潜力分析[J]. 光学学报, 2015, 35(11): 1101003.

    Guo Yulong, Li Yunmei, Wang Qiao, et al.. A new water chlorophyll-a index and analysis of its application potential[J]. Acta Optica Sinica, 2015, 35(11): 1101003.

[12] 邱亚会, 卢剑波. 浒苔遥感监测研究进展[J]. 生态学报, 2015, 35(15): 4977-4985.

    Qiu Yahui, Lu Jianbo. Advances in the monitoring of enteromorpha prolifera using remote sensing[J]. Acta Ecologica Sinica, 2015, 35(15): 4977-4985.

[13] Hu C, He M X. Origin and offshore extent of floating algae in olympic sailing area[J]. Eos Trans American Geophysical Union, 2008, 89(33): 302-303.

[14] 韩启金, 潘志强, 张学文, 等. 基于均匀目标的GF-1WFV与SJ-9A PMS相机交叉定标[J]. 光学学报, 2014, 34(6): 0628003.

    Han Qijin, Pan Zhiqiang, Zhang Xuewen, et al.. Cross-calibration of GF-1 WFV and SJ-9A PMS sensors based on homogeneous land surface targets[J]. Acta Optica Sinica, 2014, 34(6): 0628003.

[15] 吴传庆, 马万栋, 王雪蕾, 等. 基于环境卫星CCD数据的黄海浒苔遥感监测[J]. 中国环境监测, 2015, 31(3): 161-165.

    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] 丁一, 黄娟, 崔廷伟, 等. 基于NDVI与丰度关系的MODIS影像浒苔混合像素分解方法[J]. 海洋学报, 2015, 37(7): 123-131.

    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.

[18] Gower J, King S, Wei Y, et al.. Use of the 709 nm band of MERIS to detect intense plankton blooms and other conditions in coastal waters[C]. MERIS User Workshop, 2003: 10-13.

[19] Eko S, Joji I, Sarat C T, et al.. Detection of harmful algal blooms of Karenia mikimotoi using MODIS measurements: A case study of Seto-Inland Sea, Japan[J]. Remote Sensing of Environment, 2013, 129(2): 185-196.

张海龙, 孙德勇, 李俊生, 丘仲锋, 王胜强, 何宜军. 基于GF1-WFV和HJ-CCD数据的我国近海绿潮遥感监测算法研究[J]. 光学学报, 2016, 36(6): 0601004. 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): 0601004.

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