Abstract
The massive Ulva (U.) prolifera bloom in the Yellow Sea was first observed and reported in summer of 2008. After that, the green tide event occurred every year and influenced coastal areas of Jiangsu and Shandong provinces of China. Satellite remote sensing plays an important role in monitoring the floating macroalgae. In this paper, U. prolifera patches are detected from quasisynchronous satellite images with different spatial resolution, i.e., Aqua MODIS (Moderate Resolution Imaging Spectroradiometer), HJ-1A/B (China Small Satellite Constellation for Environment and Disaster Monitoring and Forecasting), CCD (Charge-Coupled Device), Landsat 8 OLI (Operational Land Imager), and ENVISAT (Environmental Satellite) ASAR (Advanced Synthetic Aperture Radar) images. Two comparative experiments are performed to explore the U. prolifera monitoring abilities by different data using detection methods such as NDVI (Normalized Difference Vegetation Index) with different thresholds. Results demonstrate that spatial resolution is an important factor affecting the extracted area of the floating macroalgae. Due to the complexity of Case II sea water characteristics in the Yellow Sea, a fixed threshold NDVI method is not suitable for U. prolifera monitoring. A method with adaptive ability in time and space, e.g., the threshold selection method proposed by Otsu (1979), is needed here to obtain accurate information on the floating macroalgae.
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Cooley T, Anderson G P, Felde G W, Hoke M L, Ratkowski A J, Chetwynd J H, Gardner J A, Adler-Golden S M, MatthewMW, Berk A, Bernstein L S, Acharya P K, Miller D, Lewis P (2002). FLAASH, a MODTRAN4-based atmospheric correction algorithm, its application and validation. Geoscience and Remote Sensing Symposium, IGARSS'02, 3: 1414–1418
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. Int J Remote Sens, 33(17): 5513–5527
Hu C (2009). A novel ocean color index to detect floating algae in the global oceans. Remote Sens Environ, 113(10): 2118–2129
Hu C, He M (2008). Origin and offshore extent of floating algae in Olympic sailing area. Eos Trans AGU, 89(33): 302–303
Hu C, Li D, Chen C, Ge J, Muller-Karger F E, Liu J, Yu F, He M (2010). On the recurrent Ulva prolifera blooms in the Yellow Sea and East China Sea. Journal of Geophysical Research, 115(C5)
Huang Z (2001). Marine Species and Their Distribution in China’s Seas. Malabar: Krieger Pub Co, 1–599
Keesing J K, Liu D Y, Fearns P, Garcia R (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. Mar Pollut Bull, 62(6): 1169–1182
Li X, Zheng W, Pichel W, Zou C (2007). Coastal katabatic winds imaged by SAR. Geophys Res Lett, 34(3): L03804
Li Y, Liang G, Yu S M, Chen P (2011). Selection of microware remote sensing data of monitoring of Entermorpha prolifera disaster. Marine Environmental Science, 30(5): 739–742 (in Chinese)
Liu D, Keesing J K, He P, Wang Z, Shi Y, Wang Y (2013). The world’s largest macroalgal bloom in the Yellow Sea, China: formation and implications. Estuar Coast Shelf Sci, 129: 2–10
Liu D, Keesing J K, Xing Q, Shi P (2009). World’s largest macroalgal bloom caused by expansion of seaweed aquaculture in China. Mar Pollut Bull, 58(6): 888–895
Otsu N A (1979). A threshold selection method from gray–level histograms. IEEE Trans Syst Man Cybern, 9(1): 919–926
Pang S, Liu F, Shan T, Xu N, Zhang Z, Gao S, Chopin T, Sun S (2010). Tracking the algal origin of the Ulva bloom in the Yellow Sea by a combination of molecular, morphological and physiological analyses. Mar Environ Res, 69(4): 207–215
Qiao F, Dai D, Simpson J, Svendsen H (2009). Banded structure of drifting macroalgae. Mar Pollut Bull, 58(12): 1792–1795
Ren J, Zhao J (2002). Progress and prospect of ocean color remote sensing in case 2 waters. Advance in Earth Sciences, 17(3): 363–371 (in Chinese)
Shi W, Wang M (2009). Green macroalgae blooms in the Yellow Sea during the spring and summer of 2008. Journal of Geophysical Research, 114, C12010
Shimada S, Yokoyama N, Arai S, Hiraoka M (2009). Phylogeography of the genus Ulva (Ulvophyceae, Chlorophyta), with special reference to the Japanese freshwater and brackish taxa. Nineteenth International Seaweed Symposium. Springer Netherlands, 2: 529–539
Sun S, Wang F, Li C, Qin S, Zhou M, Ding L, Pang S, Duan D, Wang G, Yin B, Yu R, Jiang P, Liu Z, Zhang G, Fei X, Zhou M (2008). Emerging challenges: massive green algae blooms in the Yellow Sea. Nature Proceedings, hdl:10101/npre.2008.2266.1.
Wackerman C, Clemente-Colon P, Pichel W, Li X (2002). A two-scale model to predict C-band VV and HH normalized radar cross section values over the ocean. Can J Rem Sens, 28(3): 367–384
Wang C, Liao M, Li X (2008). Ship detection in SAR image based on the alpha-stable distribution. Sensors, 8(8): 4948–4960
Xing Q, Zheng X, Shi P, Hao J, Yu D, Liang S, Liu D, Zhang Y (2011). Monitoring “green tide” in the Yellow Sea and the East China Sea using multi-temporal and multi-source remote sensing images. Spectroscopy and Spectral Analysis, 31(6): 1644–1647 (in Chinese)
Xu Q, Lin H, Lin X, Zuo J, Zheng Q, Pichel W, Liu Y (2011). Assessment of an analytical model for sea surface wind speeed retrieval from spaceborne SAR. Int J Remote Sens, 31(4): 993–1008
Xu Q, Zhang H, Ju L, Chen M (2014). Interannual variability of Ulva prolifera blooms in the Yellow Sea. Int J Remote Sens, 11–12: 1–15
Xu X, Xu S, Jin L, Song E (2011). Characteristic analysis of Otsu threshold and its applications. Pattern Recognit Lett, 32(7): 956–961
Yang X, Li X, Zheng Q, Gu X, Pichel WG, Li Z (2011). Comparison of ocean-surface winds retrieved from QuikSCAT scatterometer and Radarsat-1 SAR in offshore waters of the U.S. west coast. IEEE Geosci Remote Sens Lett, 8(1): 163–167
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Xu, Q., Zhang, H. & Cheng, Y. Multi-sensor monitoring of Ulva prolifera blooms in the Yellow Sea using different methods. Front. Earth Sci. 10, 378–388 (2016). https://doi.org/10.1007/s11707-015-0528-1
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DOI: https://doi.org/10.1007/s11707-015-0528-1