High-precision extraction of nearshore green tides using satellite remote sensing data of the Yellow Sea, China

References

• Adams, J. B., and A. R. Gillespie. 2006. Remote Sensing of Landscapes with Spectral Images: A Physical Modeling Approach. 362. Cambridge, UK:Cambridge University Press. 10.2277/0521662214.
   Google Scholar
• Bioucas-Dias, J. M., and A. Plaza. 2012. “An Overview on Hyperspectral Unmixing: Geometrical, Statistical, and Sparse Regression Based Approaches.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5: 354–379. doi:10.1109/IGARSS.2011.6049397.
   Web of Science ®Google Scholar
• Cui, T., J. Zhang, L. Sun, Y. J. Jia, W. J. Zhao, Z. L. Wang, and J. M. Meng. 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 (17): 5513–5527. doi:10.1080/01431161.2012.663112.
   Web of Science ®Google Scholar
• Elmore, A. J., J. F. Mustard, S. J. Manning, and D. B. Lobell. 2000. “Quantifying Vegetation Change in Semiarid Environments: Precision and Accuracy of Spectral Mixture Analysis and the Normalized Difference Vegetation Index.” Remote Sensing of Environment 73: 87–102. doi:10.1016/S0034-4257(00)00100-0.
   Web of Science ®Google Scholar
• Faraklioti, M., and M. Petrou. 2001. “Illumination Invariant Unmixing of Sets of Mixed Pixels.” IEEE Transaction on Geoscience and Remote Sensing 39: 2227–2234. doi:10.1109/36.957285.
   Web of Science ®Google Scholar
• Fletcher, R. L. 1996. “The Occurrence of Green Tide- a Review.” Marine Benthic Vegetation – Ecological Studies 123: 7–43. doi:10.1007/978-3-642-61398-2_2.
   Google Scholar
• Garcia, R., F. Peter, J. K. Keesing, and D. Liu. 2013. “Quantification of Floating Macroalgae Blooms Using the Scaled Algae Index.” Journal of Geophysical Research: Oceans 118: 26–42. doi:10.1029/2012JC008292.
   Web of Science ®Google Scholar
• Gower, J., C. Hu, G. Borstad, and S. King. 2006. “Ocean Color Satellites Show Extensive Lines of Floating Sargassum in the Gulf of Mexico.” IEEE Transactions on Geosciences and Remote Sensing 44 (12): 3619–3625. doi:10.1109/TGRS.2006.882258.
   Web of Science ®Google Scholar
• Gower, J., and S. King. 2008. “Satellite Images Show the Movement of Floating Sargassum in the Gulf of Mexico and Atlantic Ocean.” Lancet Oncology 14 (3): 189–191. http://hdl.handle.net/10101/npre.
   Google Scholar
• Gower, J., S. King, G. Borstad, and L. Brown. 2005. “Detection of Intense Plankton Blooms Using the 709nm Band of the MERIS Imaging Spectrometer.” International Journal of Remote Sensing 26: 2005–2012. doi:10.1080/01431160500075857.
   Web of Science ®Google Scholar
• Hiraoka, M., M. Ohno, S. Kawaguchi, and G. Yoshida. 2004. “Crossing Test among Floating Ulva Thalli Forming ‘Green-Tide’ in Japan.” Hydrobiologia 512: 239–245. doi:10.1023/B:HYDR.0000020332.12641.a2.
   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., and M. He. 2008. “Origin and Offshore Extent of Floating Algae in Olympic Sailing Area.” Eos Transactions American Geophysical Union 89 (33): 302–303. doi:10.1029/2008EO330002.
   Google Scholar
• Hu, C., D. Li, C. Chen, J. Ge, F. E. Muller-Karger, J. Liu, F. Yu, and M. X. He. 2010. “On the Recurrent Ulva Prolifera Blooms in the Yellow Sea and East China Sea.” Journal of Geophysical Research 115: C05017. doi:10.1029/2009JC005561.
   Web of Science ®Google Scholar
• Ifarraguerri, A., and C. I. Chang. 1999. “Multi-Spectral and Hyperspectral Image Analysis Withprojection Pursuit.” IEEE Transaction on Geoscience and Remote Sensing 37: 756–770. doi:10.1109/36.752192.
   Web of Science ®Google Scholar
• Keesing, J. K., D. Liu, P. Fearns, and R. Garcia. 2011. “Inter- and Intra-Annual Patterns of Ulva Prolifera Green Tides in the Yellow Sea during 2007-2009, Their Origin and Relationship to the Expansion of Coastal Seaweed Aquaculture in China.” Marine Pollution Bulletin 62 (10): 1169–1182. doi:10.1016/j.marpolbul.2011.03.040.
   PubMed Web of Science ®Google Scholar
• Keshava, N., and J. F. Mustard. 2002. “Spectral Unmixing”. IEEE Signal Processing Magazine, 19: 44–57. doi: 10.1109/79.974727.
   Google Scholar
• Li, H., and L. Zhang. 2011. “A Hybrid Automatic Endmember Extraction Algorithmbased on A Local Window.” IEEE Transactions on Geoscience and Remote Sensing 49: 4223–4423. doi:10.1109/TGRS.2011.2162098.
   Web of Science ®Google Scholar
• Liu, D., J. K. Keesing, Q. Xing, and P. Shi. 2009. “World’s Largest Macroalgal Bloom Caused by Expansion of Seaweed Aquaculture in China.” Marine Pollution Bulletin. http://dx.doi.org/10.1016/j.marpdbul.2009.01.013.
   Web of Science ®Google Scholar
• Lou, X., and C. Hu. 2014. “Diurnal Changes of a Harmful Algal Bloom in the East China Sea: Observations from GOCI.” Remote Sensing of Environment 140 (1): 562–572. doi:10.1016/j.rse.2013.09.031.
   Web of Science ®Google Scholar
• Mei, S. H., M. Y. He, Z. Y. Wang, and D. G. Feng. 2010. “Spatial Purity Based Endmember Extraction for Spectral Mixture Analysis.” IEEE Transactions on Geoscience and Remote Sensing 48: 3434–3445. doi:10.1109/TGRS.2010.2046671.
   Web of Science ®Google Scholar
• Merceron, M., V. Antoine, I. Auby, and P. Morand. 2007. “In Situ Growth Potential of the Subtidal Part of Green Tide Forming Ulva Spp. Stocks.” Science of the Total Environment 384 (1–3): 293–305. doi:10.1016/j.scitotenv.2007.05.007.
   PubMed Web of Science ®Google Scholar
• Morand, P., and X. Briand. 1996. “Excessive Growth of Macroalgae: A Symptom of Environmental Disturbance.” Botanica Marina 39: 491–516. doi:10.1515/botm.1996.39.1-6.491.
   Web of Science ®Google Scholar
• Morand, P., and M. Merceron. 2005. “Macroalgal Population and Sustainability.” Journal of Coastal Research 21 (5): 1009–1020. doi:10.2112/04-700A.1.
   Web of Science ®Google Scholar
• Plaza, A., Q. Du, J. M. Bioucas-Dias, X. Jia, and F. A. Kruse. 2011. “Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data.” IEEE Transactions on Geoscience and Remote Sensing 49: 1–8. doi:10.1109/TGRS.2011.2167193.
   Web of Science ®Google Scholar
• Plaza, A., P. Martinez, R. Perez, and J. Plaza. 2002. “Spatial/Spectral Endmember Extraction by Multidimensional Morphological Operations.” IEEE Transactions on Geoscience and Remote Sensing 40 (9): 2025–2041. doi:10.1109/TGRS.2002.802494.
   Web of Science ®Google Scholar
• Plaza, A., P. Martinez, R. Perez, and J. Plaza. 2004. “A New Approach to Mixed Pixel Classification of Hyperspectral Imagery Based on Extended Morphological Profiles.” Pattern Recognition 37 (6): 1097–1116. doi:10.1016/j.patcog.2004.01.006.
   Web of Science ®Google Scholar
• Qiao, F., D. Dai, J. Simpson, H. Svendsen. 2009. “Banded Structure of Drifting Macroalgae.” Marine Pollution Bulletin 58 :1792–1795. doi:10.1016/j.marpolbul.2009.08.006.
   PubMed Web of Science ®Google Scholar
• Rand, R. S., and D. M. Keenan. 2001. “A Spectral Mixture Process Conditioned by Gibbsbased Partitioning.” IEEE Transactions on Geoscience and Remote Sensing 39 (7): 1421–1434. doi:10.1109/36.934074.
   Web of Science ®Google Scholar
• Roberts, D. A., M. Gardner, R. Church, S. Ustin, G. Scheer, and R. O. Green. 1998. “Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models.” Remote Sensing of Environment 65: 267–279. doi:10.1016/S0034-4257(98)00037-6.
   Web of Science ®Google Scholar
• Robinson, G. D., H. H. Gross, and J. R. Schott. 2000. “Evaluation of Two Applications of Spectral Mixing Models to Image Fusion.” Remote Sensing of Environment 71: 272–281. doi:10.1016/S0034-4257(99)00074-7.
   Web of Science ®Google Scholar
• Rogge, D. M., B. Rivard, J. Zhang, A. Sanchez, J. Harris, and J. Feng. 2007. “Integration of Spatial–Spectral Information for the Improved Extraction of Endmembers.” Remote Sensing of Environment 110 (3): 287–303. doi:10.1016/j.rse.2007.02.019.
   Web of Science ®Google Scholar
• Shi, W., and M. Wang. 2009. “Green Macroalgae Blooms in the Yellow Sea during the Spring and Summer of 2008.” Journal of Geophysical Research 114: C12010. doi:10.1029/2009JC005513.
   Web of Science ®Google Scholar
• Somers, B., G. P. Asner, L. Tits, and P. Coppin. 2011. “Endmember Variability in Spectral Mixture Analysis: A Review.” Remote Sensing of Environment 115 (7): 1603–1616. doi:10.1016/j.rse.2011.03.003.
   Web of Science ®Google Scholar
• Somers, B., K. Cools, S. Delalieux, J. Stuckens, D. V. Zande, W. W. Verstraeten, and P. Coppin. 2009. “Nonlinear Hyperspectral Mixture Analysis for Tree Cover Estimates in Orchards.” Remote Sensing of Environment 113 (6): 1183–1193. doi:10.1016/j.rse.2009.02.003.
   Web of Science ®Google Scholar
• Son, Y. B., B. J. Choi, Y. H. Kim, and Y. G. Park. 2015. “Tracing Floating Green Algae Blooms in the Yellow Sea and the East China Sea Using GOCI Satellite Data and Lagrangian Transport Simulations.” Remote Sensing of Environment 156: 21–33. doi:10.1016/j.rse.2014.09.024.
   Web of Science ®Google Scholar
• Son, Y. B., J. E. Min, and J. H. Ryu. 2012. “Detecting Massive Green Algae (Ulva Prolifera) Blooms in the Yellow Sea and East China Sea Using Geostationary Ocean Color Imager (GOCI) Data.” Ocean Science Journal 47 (3): 359–375. doi:10.1007/s12601-012-0034-2.
   Web of Science ®Google Scholar
• Sun, S., F. Wang, C. Li, S. Qin, M. Zhou, L. Ding, S. Pang, et al. 2008. “Emerging Challenges: Massivegreen Algae Blooms in Theyellow Sea.” Nature Proceedings. hdl:10101/npre.2008.2266.1.
   Google Scholar
• Tompkins, S., J. F. Mustard, C. M. Pieters, and D. W. Forsyth. 1997. “Optimization of Endmembers for Spectral Mixture Analysis.” Remote Sensing of Environment 59 (3): 472–489. doi:10.1016/S0034-4257(96)00122-8.
   Web of Science ®Google Scholar
• Xing, Q., and C. Hu. 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
• Ye, N., Z. Zhuang, X. Jin, Q. Wang, X. Zhang, D. Li, H. Wang, et al. 2008. “China Is on the Tracking Enteromorpha Spp. Forming Green Tide.” Nature Proceedings. hdl:10101/npre.2352.1.
   Google Scholar
• Zhang, J., B. Rivard, and D. M. Rogge. 2008. “The Successive Projection Algorithm (SPA), an Algorithm with a Spatial Constraint for the Automatic Search of Endmembers in Hyperspectral Data.” Sensors 8 (2): 1321–1342. doi:10.3390/s8021321.
   PubMed Web of Science ®Google Scholar