Long-Term Spatial and Temporal Monitoring of Cyanobacteria Blooms Using MODIS on Google Earth Engine: A Case Study in Taihu Lake

[1]  G. Fiske,et al.  Quantifying CDOM and DOC in major Arctic rivers during ice-free conditions using Landsat TM and ETM+ data , 2018 .

[2]  Z. Bing,et al.  A simple correction method for the MODIS surface reflectance product over typical inland waters in China , 2016 .

[3]  Ronghua Ma,et al.  Two-decade reconstruction of algal blooms in China's Lake Taihu. , 2009, Environmental science & technology.

[4]  H. Paerl,et al.  Extreme weather event may induce Microcystis blooms in the Qiantang River, Southeast China , 2018, Environmental Science and Pollution Research.

[5]  E. Jeppesen,et al.  Local habitat heterogeneity determines the differences in benthic diatom metacommunities between different urban river types. , 2019, The Science of the total environment.

[6]  W. Cai,et al.  Remote sensing of particulate organic carbon dynamics in a eutrophic lake (Taihu Lake, China). , 2015, The Science of the total environment.

[7]  Chuanmin Hu,et al.  An empirical approach to derive MODIS ocean color patterns under severe sun glint , 2011 .

[8]  Wang Ruochen,et al.  The trend of water quality variation and analysis in typical area of Lake Taihu, 2010-2017 , 2018 .

[9]  Tiit Kutser,et al.  Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing , 2004 .

[10]  Chuanmin Hu,et al.  Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations , 2016 .

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

[12]  M. Moradi,et al.  Comparison of the efficacy of MODIS and MERIS data for detecting cyanobacterial blooms in the southern Caspian Sea. , 2014, Marine pollution bulletin.

[13]  Lucas J Stal,et al.  How rising CO2 and global warming may stimulate harmful cyanobacterial blooms. , 2016, Harmful algae.

[14]  Raphael M. Kudela,et al.  Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters , 2015 .

[15]  Yongnian Gao,et al.  Long-term and inter-monthly dynamics of aquatic vegetation and its relation with environmental factors in Taihu Lake, China. , 2019, The Science of the total environment.

[16]  Xiaohan Liu,et al.  Long-term MODIS observations of cyanobacterial dynamics in Lake Taihu: Responses to nutrient enrichment and meteorological factors , 2017, Scientific Reports.

[17]  Peter Reinartz,et al.  Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2 , 2018, Remote. Sens..

[18]  F. Muller‐Karger,et al.  Monitoring turbidity in Tampa Bay using MODIS/Aqua 250-m imagery , 2007 .

[19]  Ronghua Ma,et al.  Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China , 2012 .

[20]  Pierre Legendre,et al.  DISTANCE‐BASED REDUNDANCY ANALYSIS: TESTING MULTISPECIES RESPONSES IN MULTIFACTORIAL ECOLOGICAL EXPERIMENTS , 1999 .

[21]  B. Qin,et al.  Phenology of Phytoplankton Blooms in a Trophic Lake Observed from Long-Term MODIS Data. , 2019, Environmental science & technology.

[22]  Junsheng Li,et al.  MODIS surface reflectance product (MOD09) validation for typical inland waters in China , 2014, Asia-Pacific Environmental Remote Sensing.

[23]  B. Qin,et al.  Spatiotemporal Changes of Cyanobacterial Bloom in Large Shallow Eutrophic Lake Taihu, China , 2018, Front. Microbiol..

[24]  Chuanmin Hu,et al.  Can MODIS Land Reflectance Products be Used for Estuarine and Inland Waters? , 2018 .

[25]  Ronghua Ma,et al.  Satellite analysis to identify changes and drivers of CyanoHABs dynamics in Lake Taihu , 2016 .

[26]  Junjie Liu,et al.  Meteorological and hydrological conditions driving the formation and disappearance of black blooms, an ecological disaster phenomena of eutrophication and algal blooms. , 2016, The Science of the total environment.

[27]  Bing Zhang,et al.  Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index , 2018, Remote Sensing of Environment.

[28]  Junfeng Gao,et al.  When and where to reduce nutrient for controlling harmful algal blooms in large eutrophic lake Chaohu, China? , 2018, Ecological Indicators.

[29]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[30]  Jun Chen,et al.  A Simple Atmospheric Correction Algorithm for MODIS in Shallow Turbid Waters: A Case Study in Taihu Lake , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[31]  Boqiang Qin,et al.  Long-term dynamics of phytoplankton assemblages: Microcystis-domination in Lake Taihu, a large shallow lake in China , 2003 .

[32]  Yunliang Li,et al.  Seasonal–spatial variation and remote sensing of phytoplankton absorption in Lake Taihu, a large eutrophic and shallow lake in China , 2010 .

[33]  Boqiang Qin,et al.  A critical review of the development, current hotspots, and future directions of Lake Taihu research from the bibliometrics perspective , 2016, Environmental Science and Pollution Research.

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

[35]  S. Phinn,et al.  A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans , 2014 .

[36]  Zhou Yang,et al.  Effects of Wind and Wind-Induced Waves on Vertical Phytoplankton Distribution and Surface Blooms of Microcystis aeruginosa in Lake Taihu , 2006 .

[37]  Gary J. Kirkpatrick,et al.  Harmful algal blooms: causes, impacts and detection , 2003, Journal of Industrial Microbiology and Biotechnology.

[38]  M. Zhang,et al.  Long-term dynamics and drivers of phytoplankton biomass in eutrophic Lake Taihu. , 2018, The Science of the total environment.

[39]  Ronghua Ma,et al.  Are algal blooms occurring later in Lake Taihu? Climate local effects outcompete mitigation prevention , 2014 .

[40]  David P. Hamilton,et al.  Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems. , 2015, Ecological applications : a publication of the Ecological Society of America.

[41]  Peter Reinartz,et al.  Towards Global-Scale Seagrass Mapping and Monitoring Using Sentinel-2 on Google Earth Engine: The Case Study of the Aegean and Ionian Seas , 2018, Remote. Sens..

[42]  Changchun Huang,et al.  Long-term variation of phytoplankton biomass and physiology in Taihu lake as observed via MODIS satellite. , 2019, Water research.

[43]  H. Fang,et al.  Effects of internal loading on phosphorus distribution in the Taihu Lake driven by wind waves and lake currents. , 2016, Environmental pollution.

[44]  Stephanie C. J. Palmer,et al.  Remote sensing of inland waters: Challenges, progress and future directions , 2015 .

[45]  Bing Zhang,et al.  Recovering low quality MODIS-Terra data over highly turbid waters through noise reduction and regional vicarious calibration adjustment: A case study in Taihu Lake , 2017 .

[46]  Min Zhang,et al.  Fourteen-Year Record (2000-2013) of the Spatial and Temporal Dynamics of Floating Algae Blooms in Lake Chaohu, Observed from Time Series of MODIS Images , 2015, Remote. Sens..

[47]  Y. Liuyan,et al.  Mechanism and control strategy of cyanobacterial bloom in Lake Taihu , 2019, Journal of Lake Sciences.

[48]  Martin Kabenge,et al.  Urban eutrophication and its spurring conditions in the Murchison Bay of Lake Victoria , 2015, Environmental Science and Pollution Research.

[49]  Jinliang Huang,et al.  Coupled effects of land use pattern and hydrological regime on composition and diversity of riverine eukaryotic community in a coastal watershed of Southeast China. , 2019, The Science of the total environment.

[50]  Daniel Odermatt,et al.  Improved algorithm for routine monitoring of cyanobacteria and eutrophication in inland and near-coastal waters , 2015 .

[51]  P. Legendre,et al.  Ecologically meaningful transformations for ordination of species data , 2001, Oecologia.

[52]  Deyong Sun,et al.  Detection of algal bloom and factors influencing its formation in Taihu Lake from 2000 to 2011 by MODIS , 2014, Environmental Earth Sciences.

[53]  Ludwig Triest,et al.  Identifying the factors determining blooms of cyanobacteria in a set of shallow lakes , 2016, Ecol. Informatics.

[54]  Lin Li,et al.  Remote estimation of cyanobacteria-dominance in inland waters. , 2015, Water research.

[55]  Jean-Claude Roger,et al.  Atmospheric correction over land for MERIS , 1999 .

[56]  R. Srinivasan,et al.  An automated cloud detection method for daily NOAA-14 AVHRR data for Texas, USA , 2002 .

[57]  Ronggao Liu,et al.  Generation of new cloud masks from MODIS land surface reflectance products , 2013 .

[58]  Kun Shi,et al.  Mapping Aquatic Vegetation in a Large, Shallow Eutrophic Lake: A Frequency-Based Approach Using Multiple Years of MODIS Data , 2015, Remote. Sens..

[59]  Xiaohan Liu,et al.  Long-Term Satellite Observations of Microcystin Concentrations in Lake Taihu during Cyanobacterial Bloom Periods. , 2015, Environmental science & technology.

[60]  Yuchao Zhang,et al.  A Novel Algorithm to Estimate Algal Bloom Coverage to Subpixel Resolution in Lake Taihu , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[61]  Ludwig Triest,et al.  Assessment of the risk of cyanobacterial bloom occurrence in urban ponds: probabilistic approach , 2010 .

[62]  F. Pelicice,et al.  Fish assemblages associated with Egeria in a tropical reservoir: investigating the effects of plant biomass and diel period , 2005 .

[63]  Bunkei Matsushita,et al.  Monitoring levels of cyanobacterial blooms using the visual cyanobacteria index (VCI) and floating algae index (FAI) , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[64]  Xiaoling Chen,et al.  Assessment of inundation changes of Poyang Lake using MODIS observations between 2000 and 2010 , 2012 .

[65]  Menghua Wang,et al.  Water property monitoring and assessment for China's inland Lake Taihu from MODIS-Aqua measurements , 2011 .

[66]  Jing Li,et al.  A MODIS-Based Novel Method to Distinguish Surface Cyanobacterial Scums and Aquatic Macrophytes in Lake Taihu , 2017, Remote. Sens..

[67]  Ying Xu,et al.  Stricter nutrient criteria are required to mitigate the impact of climate change on harmful cyanobacterial blooms , 2019, Journal of Hydrology.

[68]  Lian Feng,et al.  Exploring the potential of Rayleigh-corrected reflectance in coastal and inland water applications: A simple aerosol correction method and its merits , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[69]  R. Wright,et al.  Color and temperature of the crater lakes at Kelimutu volcano through time , 2017, Bulletin of Volcanology.

[70]  Ronghua Ma,et al.  Moderate Resolution Imaging Spectroradiometer (MODIS) observations of cyanobacteria blooms in Taihu Lake, China , 2010 .