Abstract

We demonstrate a simple, spectrally resolved ocean color remote sensing model to estimate benthic photosynthetically active radiation (bPAR) for the waters of the Great Barrier Reef (GBR), Australia. For coastal marine environments and coral reefs, the underwater light field is critical to ecosystem health, but data on bPAR rarely exist at ecologically relevant spatio-temporal scales. The bPAR model presented here is based on Lambert-Beer's Law and uses: (i) sea surface values of the downwelling solar irradiance, Es(λ); (ii) high-resolution seafloor bathymetry data; and (iii) spectral estimates of the diffuse attenuation coefficient, Kd(λ), calculated from GBR-specific spectral inherent optical properties (IOPs). We first derive estimates of instantaneous bPAR. Assuming clear skies, these instantaneous values were then used to obtain daily integrated benthic PAR values. Matchup comparisons between concurrent satellite-derived bPAR and in situ values recorded at four optically varying test sites indicated strong agreement, small bias, and low mean absolute error. Overall, the matchup results suggest that our benthic irradiance model was robust to spatial variation in optical properties, typical of complex shallow coastal waters such as the GBR. We demonstrated the bPAR model for a small test region in the central GBR, with the results revealing strong patterns of temporal variability. The model will provide baseline datasets to assess changes in bPAR and its external drivers and may form the basis for a future GBR water-quality index. This model may also be applicable to other coastal waters for which spectral IOP and high-resolution bathymetry data exist.

Highlights

  • Benthic irradiance is defined as photosynthetically active radiation (PAR, or benthic PAR) at 400 – 700 nm wavelengths that reaches the seafloor

  • To assess whether the benthic irradiance model produces temporally stable estimates of benthic PAR, we examined a regional box, the Burdekin region, within the central Great Barrier Reef (GBR) that encompasses three of the four test sites considered in the study by implementing the model to MODISA data from July 2002 to December 2018

  • The results show that the inherent optical properties (IOPs)-based model derives bPARi with root mean square error (RMSE) and mean bias statistics that are better than the Chlorophyllbased and Kd(490)-based methods

Read more

Summary

Introduction

Benthic irradiance is defined as photosynthetically active radiation (PAR, or benthic PAR) at 400 – 700 nm wavelengths that reaches the seafloor. While a number of ocean color satellite processing algorithms have been developed for monitoring optically complex waters of the GBR [20,21,22,23], we note that none have focused on deriving benthic light availability. IOPs can be regulated by a number of drivers including, but not limited to: run-off and resuspension of fine sediments, nutrients and organic matter due to wave-induced vertical mixing, human activity such as dredging and dredge-spoil placement on the seafloor, and biological processes related to phytoplankton growth These drivers make the inversion of sensor-observed remote sensing reflectance, Rrs(λ) (sr−1), to derive IOP values, a non-trivial problem. By using SWIM-derived IOPs, it is possible to spectrally characterize near-daily GBR-wide light attenuation and, in turn, estimate benthic light availability (i.e., PAR) using ocean color remote sensing. Results, as well as limitations and future applications of the model within the GBR region are discussed

Benthic irradiance model description
Instantaneous benthic PAR
Daily integrated benthic PAR
Satellite data processing
GBR bathymetry data
25 May 2016 to 15 Nov 2017
Algorithm validation approach
Matchups of satellite-derived to in situ data pairs
Regression analysis and other performance metrics
Temporal evaluation
Simple depth sensitivity analysis
Results and discussion
Daily integrated benthic PAR matchup analysis
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.