Satellite monitoring of massive green macroalgae bloom (GMB): imaging ability comparison of multi-source data and drifting velocity estimation

A massive floating green macroalgae bloom (GMB) has occurred for several years consecutively in the Yellow Sea since 2007. In view of the rapid growth of green macroalgae, early detection of its patches at first appearance by satellite imagery is of importance, and the central issue is the selection of appropriate satellite data. As a first step towards this goal, based on quasi-synchronous satellite images of HJ-1A/B (China Small Satellite Constellation for Environment and Disaster Monitoring and Forecasting) charge-coupled devices (CCDs), Environmental Satellite (ENVISAT) Advanced Synthetic Aperture Radar (ASAR) and TERRA Moderate Resolution Imaging Spectroradiometer (MODIS), GMB monitoring abilities by these data were compared. The average percentage difference (APD) of the GMB areas derived by ASAR and CCD was less than 15%, which may be partly attributed to the inability of synthetic aperture radar (SAR) data to detect macroalgae suspended beneath the sea surface. The macroalgae area extracted by MODIS was over two times of that extracted by CCD, which was mainly explained by the difference in their spatial resolutions (250 vs 30 m). The effects of the configuration of sensor bands and the aerosol optical properties on the comparison result were found to be negligible, and the underlying reason is analysed by atmosphere radiative transfer modelling. With satellite images, the drifting velocity of macroalgae patches was estimated to be about 0.21 m s–1, which was in agreement with the surface current field numerically simulated by the Hybrid Coordinate Ocean Model (HYCOM). It indicates that numerical modelling can aid in deduction of the situation of the patches when satellite data are not available, and on the other hand, satellite data can be used to estimate sea-surface currents through monitoring the movement of green algae. By a comprehensive comparison of available satellite data in operation, for the early detection of macroalgae patches and warning of a massive bloom, CCD data from the HJ-1A/B constellation was preferred, with 30 m spatial resolution, 700 km swath width and 2 day revisiting period. SAR data may be an effective supplement, which can avoid the effects of bad weather (cloud, fog and haze) on optical satellite monitoring.

[1]  M. He,et al.  On the Recurrent Ulva prolifera Blooms in the Yellow Sea and East China Sea , 2010 .

[2]  M. Stanhope,et al.  Novel morphology in Enteromorpha (Ulvophyceae) forming green tides. , 2002, American journal of botany.

[3]  R. Vincent,et al.  Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie , 2004 .

[4]  Zou Ya-rong The satellite remote sensing system used in emergency response monitoring for Entermorpha prolifera disaster and its application , 2009 .

[5]  Menghua Wang,et al.  Green macroalgae blooms in the Yellow Sea during the spring and summer of 2008 , 2009 .

[6]  Sun Ling Enteromorpha Prolifera Monitoring with FY-3A MERSI around the Sea Area of Qingdao , 2010 .

[7]  M. He,et al.  Origin and Offshore Extent of Floating Algae in Olympic Sailing Area , 2008 .

[8]  Mati Kahru,et al.  Satellite detection of increased cyanobacteria blooms in the Baltic Sea: Natural fluctuation or ecosystem change? , 1994 .

[9]  Stefan G. H. Simis,et al.  Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water , 2005 .

[10]  Liang Zong,et al.  A Preliminary Study of the Enteromorpha prolifera Drift Gathering Causing the Green Tide Phenomenon , 2008 .

[11]  Qianguo Xing,et al.  World's largest macroalgal bloom caused by expansion of seaweed aquaculture in China. , 2009, Marine pollution bulletin.

[12]  Zhu Hai-tian Application study on quick extraction of Entermorpha prolifera information using SAR data , 2009 .

[13]  Fangli Qiao,et al.  Distribution of sunken macroalgae against the background of tidal circulation in the coastal waters of Qingdao, China, in summer 2008 , 2008 .

[14]  Chuanmin Hu,et al.  Ocean Color Satellites Show Extensive Lines of Floating Sargassum in the Gulf of Mexico , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[15]  M. Park,et al.  Effects of temperature and irradiance on photosynthesis and growth of a green-tide-forming species (Ulva linza) in the Yellow Sea , 2011, Journal of Applied Phycology.

[16]  Mati Kahru,et al.  MODIS detects a devastating algal bloom in Paracas Bay, Peru , 2004 .

[17]  Song Sun,et al.  Emerging challenges: Massive green algae blooms in the Yellow Sea , 2008 .

[18]  M. Kahru,et al.  Spectral reflectance and absorption of a massive red tide off southern California , 1998 .

[19]  P. Morand,et al.  Coastal eutrophication and excessive growth of macroalgae. , 2004 .

[20]  Chuanmin Hu A novel ocean color index to detect floating algae in the global oceans , 2009 .

[21]  E. Carpenter,et al.  Detecting Trichodesmium blooms in SeaWiFS imagery , 2001 .

[22]  Mati Kahru,et al.  Cyanobacteria blooms in the Gulf of Finland triggered by saltwater inflow into the Baltic Sea , 2000 .