A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae

References

• Cui, T., Zhang, J., Sun, L., Jia, Y., Zhao, W., Wang, Z., & Meng, J. (2012). Satellite monitoring of massive green macroalgae bloom (GMB): Imaging ability comparison of multi-source data and drifting velocity estimation. International Journal of Remote Sensing, 33, 5513–5527. doi: 10.1080/01431161.2012.663112
   Web of Science ®Google Scholar
• Ding, Y., Huang, J., Cui, T., Wang, Z., Zhang, Y., Cao, C., … Xiao, Y. (2015). The decomposition method of MODIS images Enteromorpha mixed pixels based on the relation of NDVI to abundance. Acta Oceanologica Sinica, 37(7), 123–131.
   Google Scholar
• Gower, J., Young, E., & King, S. (2013). Satellite images suggest a new Sargassum source region in 2011. Remote Sensing Letters, 4, 764–773. doi: 10.1080/2150704X.2013.796433
   Web of Science ®Google Scholar
• Hu, C. (2009). A novel ocean color index to detect floating algae in the global oceans. Remote Sensing of Environment, 113, 2118–2129. doi: 10.1016/j.rse.2009.05.012
   Web of Science ®Google Scholar
• Hu, C., Murch, B., Barnes, B. B., Wang, M., Maréchal, J.-P., Franks, J., … Siuda, A. N. S. (2016). Sargassum watch warns of incoming seaweed. Eos, 97. doi: 10.1029/2016EO058355
   Google Scholar
• Jiang, X., Liu, J., Zou, B., Wang, Q., Zeng, T., Guo, M., … Tang, J. (2009). The satellite remote sensing system used in emergency response monitoring for Entermorpha prolifera disaster and its application. Acta Oceanologica Sinica, 31(1), 52–64.
   Google Scholar
• Li, L., Xing, Q., Li, X., Yu, D., Zhang, J., & Zou, J. (2018). Assessment of the impacts from the world’s largest floating macroalgae blooms on the water clarity at the west Yellow Sea using MODIS data (2002–2016). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 1397–1402. doi: 10.1109/JSTARS.2018.2806626
   Web of Science ®Google Scholar
• Liu, D., Keesing, J. K., Xing, Q., & Shi, P. (2009). World’s largest macroalgal bloom caused by expansion of seaweed aquaculture in China. Marine Pollution Bulletin, 58, 888–895. doi: 10.1016/j.marpolbul.2009.01.013
   PubMed Web of Science ®Google Scholar
• Lyons, D. A., Arvanitidis, C., Blight, A. J., Chatzinikolaou, E., Guy-Haim, T., Kotta, J., … Crowe, T. P. (2014). Macroalgal blooms alter community structure and primary productivity in marine ecosystems. Global Change Biology, 20(9), 2712–2724. doi: 10.1111/gcb.12644
   PubMed Web of Science ®Google Scholar
• Mizuno, S., Ajisaka, T., Lahbib, S., Kokubu, Y., Alabsi, M. N., & Komatsu, T. (2014). Spatial distributions of floating seaweeds in the East China Sea from late winter to early spring. Journal of Applied Phycology, 26(2), 1159–1167. doi: 10.1007/s10811-013-0139-8
   PubMed Web of Science ®Google Scholar
• Qi, L., Hu, C., Wang, M., Shang, S., & Wilson, C. (2017). Floating algae blooms in the East China Sea. Geophysical Research Letters, 44(22), 11501–11509. doi: 10.1002/2017GL075525
   Web of Science ®Google Scholar
• Qi, L., Hu, C., Xing, Q., & Shang, S. (2016). Long-term trend of Ulva prolifera blooms in the western Yellow Sea. Harmful Algae, 58, 35–44. doi: 10.1016/j.hal.2016.07.004
   PubMed Web of Science ®Google Scholar
• Shen, H., Perrie, W., Liu, Q., & He, Y. (2014). Detection of macroalgae blooms by complex SAR imagery. Marine Pollution Bulletin, 78, 190–195. doi: 10.1016/j.marpolbul.2013.10.044
   PubMed Web of Science ®Google Scholar
• Smetacek, V., & Zingone, A. (2013). Green and golden seaweed tides on the rise. Nature, 504, 84–88. doi: 10.1038/nature12860
   PubMed Web of Science ®Google Scholar
• Wang, M., & Hu, C. (2016). Mapping and quantifying Sargassum distribution and coverage in the central West Atlantic using MODIS observations. Remote Sensing of Environment, 183, 350–367. doi: 10.1016/j.rse.2016.04.019
   Web of Science ®Google Scholar
• Xing, Q., Guo, R., Wu, L., Cong, M., An, D., Qin, S., & Li, X. (2017). High-resolution satellite observations of a new hazard of golden tides caused by floating Sargassum in winter in the Yellow Sea. IEEE Geoscience and Remote Sensing Letters, 14(10), 1815–1819. doi: 10.1109/LGRS.2017.2737079
   Web of Science ®Google Scholar
• Xing, Q., & Hu, C. (2016). Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique. Remote Sensing of Environment, 178, 113–126. doi: 10.1016/j.rse.2016.02.065
   Web of Science ®Google Scholar
• Xing, Q., Hu, C., Tang, D., Tian, L., Tang, S., Wang, X. H., … Gao, X. (2015). World’s largest macroalgal blooms altered phytoplankton biomass in summer in the Yellow Sea: Satellite observations. Remote Sensing, 7, 12297–12313. doi: 10.3390/rs70912297
   Web of Science ®Google Scholar
• Xing, Q., Li, L., Lou, M., Bing, L., Zhao, R., & Li, Z. (2015). Observation of oil spills through Landsat thermal infrared imagery: A case of Deepwater Horizon. Aquatic Procedia, 3, 151–156. doi: 10.1016/j.aqpro.2015.02.205
   Google Scholar
• Xing, Q., Lou, M., Chen, C., & Shi, P. (2013). Using in situ and satellite hyperspectral data to estimate the surface suspended sediments concentrations in the Pearl River estuary. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 731–738. doi: 10.1109/JSTARS.2013.2238659
   Web of Science ®Google Scholar
• Xing, Q., Tosi, L., Braga, F., Gao, X., & Gao, M. (2015). Interpreting the progressive eutrophication behind the world’s largest macroalgal blooms with water quality and ocean color data. Natural Hazards, 78, 7–21. doi: 10.1007/s11069-015-1694-x
   Web of Science ®Google Scholar
• Xing, Q., Wu, L., Tian, L., Cui, T., Li, L., Kong, F., … Wu, M. (2018). Remote sensing of early-stage green tide in the Yellow Sea for floating-macroalgae collecting campaign. Marine Pollution Bulletin, 133, 150–156. doi: 10.1016/j.marpolbul.2018.05.035
   PubMed Web of Science ®Google Scholar
• Xing, Q., Zheng, X., Shi, P., Hao, J., Yu, D., Liang, S., … Zhang, Y. (2011). Monitoring “GreenTide” in the Yellow Sea and the East China Sea using multi-temporal and multi-source remote sensing images. Spectroscopy and Spectral Analysis, 31, 1644–1647.
   Web of Science ®Google Scholar
• Xu, Q., Zhang, H., Cheng, Y., Zhang, S., & Zhang, W. (2016). Monitoring and tracking the green tide in the Yellow Sea with satellite imagery and trajectory model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11), 5172–5181. doi: 10.1109/JSTARS.2016.2580000
   Web of Science ®Google Scholar