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

Blondeau-Patissier, David; Gower, J.F.R.; Dekker, Arnold G.; Phinn, Stuart; Brando, Vittorio E.

doi:10.1016/j.pocean.2013.12.008

Cited by 475 publications

(324 citation statements)

References 251 publications

Supporting

Mentioning

316

Contrasting

Unclassified

Order By: Relevance

“…In the optically complex and very diverse coastal zone, separating the contribution of chl a from other colored constituents [namely particulate inorganic matter (PIM), and colored dissolved organic matter (CDOM)] in the water column is notoriously difficult due to the rapidly changing concentrations of CDOM and PIM coming from sediment resuspension, river plume, and land runoff (Blondeau-Patissier et al, 2014). In turbid tidal flat and adjacent coastal areas, the main challenge arises from the difficulty to detect chl a from the high load of suspended particulate matter (SPM).…”

Section: Introductionmentioning

confidence: 99%

Shellfish Aquaculture from Space: Potential of Sentinel2 to Monitor Tide-Driven Changes in Turbidity, Chlorophyll Concentration and Oyster Physiological Response at the Scale of an Oyster Farm

2017

View full text Add to dashboard Cite

The algorithms of Novoa et al. (2017) and Gons et al. (2005) were recalibrated and applied to Sentinel2 data to retrieve suspended particulate matter (SPM) and chlorophyll a (chl a) concentration in the environmentally and economically important intertidal zones. Sentinel2-derived chl a and SPM concentration distributions were analyzed at the scale of an oyster farm over a variety of tidal conditions. Sentinel2 imagery was then coupled with ecophysiological modeling to analyze the influence of tide-driven chl a and SPM dynamics on oyster clearance and chl consumption rates. Within the studied oyster farming site (Bourgneuf Bay along the French Atlantic coast), chl consumption rate mirrored the changes in chl a concentration during neap tides, whereas oyster clearance and chl consumption rates were both negatively impacted by high SPM concentration during spring tides.

show abstract

Section: Introductionmentioning

confidence: 99%

Shellfish Aquaculture from Space: Potential of Sentinel2 to Monitor Tide-Driven Changes in Turbidity, Chlorophyll Concentration and Oyster Physiological Response at the Scale of an Oyster Farm

2017

View full text Add to dashboard Cite

show abstract

“…Unlike the previous indices, FAI was originally applied for detecting cyanobacteria and macro-algae in shallow, turbid fresh water and coastal areas, such as Lake Taihu (China), the Yellow Sea (China), Tampa Bay (USA), and the Gulf of Mexico [23][24][25]. The FAI is used in combination with pre-determined thresholds to help separate land, cloud or sediments from pixels associated with surface algal scums, thereby making it more sensitive to turbid water and shallow depths than other indices [26].…”

Section: Introductionmentioning

confidence: 99%

Mapping Aquatic Vegetation in a Large, Shallow Eutrophic Lake: A Frequency-Based Approach Using Multiple Years of MODIS Data

et al. 2015

View full text Add to dashboard Cite

Aquatic vegetation serves many important ecological and socioeconomic functions in lake ecosystems. The presence of floating algae poses difficulties for accurately estimating the distribution of aquatic vegetation in eutrophic lakes. We present an approach to map the distribution of aquatic vegetation in Lake Taihu (a large, shallow eutrophic lake in China) and reduce the influence of floating algae on aquatic vegetation mapping. the 11 years. Our findings suggest that (1) the proposed approach can be used to map the distribution of aquatic vegetation in eutrophic algae-rich waters and (2) dramatic changes occurred in the distribution of aquatic vegetation in Lake Taihu during the 11-year study.

show abstract

“…For data assimilation for Taihu Lake, Qi et al (2014) [42] used Chla data products derived from the red and NIR bands (645 and 859 nm) of MODIS [43] , which suffer from interferences of sediment resuspension. Indeed, despite the effort in the past decade on algorithm development for inland water bodies [20,23,24,[44][45][46][47][48][49][50], for a number of reasons there is no reliable Chla algorithm that can be applied to MODIS data in near real-time for the purposes of both timely information delivery and data assimilation for Taihu Lake.…”

Section: Introductionmentioning

confidence: 99%

An EOF-Based Algorithm to Estimate Chlorophyll a Concentrations in Taihu Lake from MODIS Land-Band Measurements: Implications for Near Real-Time Applications and Forecasting Models

Duan

et al. 2014

Remote Sensing

View full text Add to dashboard Cite

For near real-time water applications, the Moderate Resolution Imaging Spectroradiometers (MODIS) on Terra and Aqua are currently the only satellite instruments that can provide well-calibrated top-of-atmosphere (TOA) radiance data over the global aquatic environments. However, TOA radiance data in the MODIS ocean bands over turbid atmosphere in east China often saturate, leaving only four land bands to use. In this study, an approach based on Empirical Orthogonal Function (EOF) analysis has been developed and validated to estimate chlorophyll a concentrations (Chla, μg/L) in surface waters of Taihu Lake, the third largest freshwater lake in China. The EOF approach analyzed the spectral variance of normalized Rayleigh-corrected reflectance (Rrc) data at 469, 555, 645, and 859 nm, and subsequently related that variance to Chla using 28 concurrent MODIS and field measurements. This empirical algorithm was then validated using another 30 independent concurrent MODIS and field measurements. Image analysis and radiative transfer simulations indicated that the algorithm appeared to be tolerant to aerosol perturbations, with unbiased RMS uncertainties of <80% for Chla ranging between 3 and 100 μg/L. Application OPEN ACCESSRemote Sens. 2014, 6 10695 of the algorithm to a total of 853 MODIS images between 2000 and 2013 under cloud-free conditions revealed spatial distribution patterns and seasonal changes that are consistent to previous findings based on floating algae mats. The current study can provide additional quantitative estimates of Chla that can be assimilated in an existing forecast model, which showed improved performance over the use of a previous Chla algorithm. However, the empirical nature, relatively large uncertainties, and limited number of spectral bands all point to the need of further improvement in data availability and accuracy with future satellite sensors.

show abstract

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

Cited by 475 publications

References 251 publications

Shellfish Aquaculture from Space: Potential of Sentinel2 to Monitor Tide-Driven Changes in Turbidity, Chlorophyll Concentration and Oyster Physiological Response at the Scale of an Oyster Farm

Shellfish Aquaculture from Space: Potential of Sentinel2 to Monitor Tide-Driven Changes in Turbidity, Chlorophyll Concentration and Oyster Physiological Response at the Scale of an Oyster Farm

Mapping Aquatic Vegetation in a Large, Shallow Eutrophic Lake: A Frequency-Based Approach Using Multiple Years of MODIS Data

An EOF-Based Algorithm to Estimate Chlorophyll a Concentrations in Taihu Lake from MODIS Land-Band Measurements: Implications for Near Real-Time Applications and Forecasting Models

Contact Info

Product

Resources

About