A regional algorithm for investigating the Patos Lagoon coastal plume using Aqua/MODIS and oceanographic data

Costi, Juliana; Moraes, Bruno Correa; Marques, Wiliam Correa

doi:10.1007/s40868-017-0032-4

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…Previous studies on turbidity in Patos Lagoon based on remote sensing focused on applying algorithms to study the plume [34,57] and water quality in the region [10]. For the L8 and S2 satellites, POLYMER atmospheric correction and N09-recalibrated coefficients [34] achieved better performance in the NIR band (based on Kendall's tau correlation coefficient).…”

Section: Previous Studies Of Patos Lagoon and Results Without Regiona...mentioning

confidence: 99%

Optimizing Optical Coastal Remote-Sensing Products: Recommendations for Regional Algorithm Calibration

Simão,

Távora,

Salama

et al. 2024

Remote Sensing

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The remote sensing of turbidity and suspended particulate matter (SPM) relies on atmospheric corrections and bio-optical algorithms, but there is no one method that has better accuracy than the others for all satellites, bands, study areas, and purposes. Here, we evaluated different combinations of satellites (Landsat-8, Sentinel-2, and Sentinel-3), atmospheric corrections (ACOLITE and POLYMER), algorithms (single- and multiband; empirical and semi-analytical), and bands (665 and 865 nm) to estimate turbidity and SPM in Patos Lagoon (Brazil). The region is suitable for a case study of the regionality of remote-sensing algorithms, which we addressed by regionally recalibrating the coefficients of the algorithms using a method for geophysical observation models (GeoCalVal). Additionally, we examined the results associated with the use of different statistical parameters for classifying algorithms and introduced a new metric (GoF) that reflects performance. The best performance was achieved via POLYMER atmospheric correction and the use of single-band algorithms. Regarding SPM, the recalibrated coefficients yielded a better performance, but, for turbidity, a tradeoff between two statistical parameters occurred. Therefore, the uncertainties in the atmospheric corrections and algorithms used were analyzed based on previous studies. In the future, we suggest the use of in situ radiometric data to better evaluate atmospheric corrections, radiative transfer modeling to bridge data gaps, and multisensor data merging for compiling climate records.

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Section: Previous Studies Of Patos Lagoon and Results Without Regiona...mentioning

confidence: 99%

Optimizing Optical Coastal Remote-Sensing Products: Recommendations for Regional Algorithm Calibration

Simão,

Távora,

Salama

et al. 2024

Remote Sensing

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“…Fernandes (2001), Marques et al (2006, 2009, 2010), Calliari et al (2009), Nicolodi et al (2010), Silva et al (2014), Lisboa and Fernandes, (2015), Bitencourt et al (2020)); and remote sensing techniques (e.g. Pagot et al (2007); Moraes (2008); Fassoni‐Andrade et al (2015); Costi et al (2017); Scotta (2018); Tavora et al (2019, 2020)).…”

Section: Additional Remarksmentioning

confidence: 99%

“…The study by Scotta (2018) developed an empirical algorithm for Landsat8/OLI data to be applied in the Guaíba River region. Following a similar approach, the study by Costi et al (2017) developed an empirical algorithm using MODIS‐aqua data to estimate sediment plumes in the inlet region of Patos Lagoon. More recently, the study by (Távora et al, 2019, 2020) uses daily information from the MODIS‐aqua sensor to estimate SPM covering the whole lagoon extension (i.e.…”

Section: Additional Remarksmentioning

confidence: 99%

Patos Lagoon, Brazil, Suspended Particulate Matter (SPM) data compendium

Távora

Fernandes

Möller

2021

Geoscience Data Journal

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Patos Lagoon is the largest choked coastal lagoon in the world (250 km long, 40 km wide and mean depth of 5 m), with banks formed by sand and predominantly muddy bottom. The circulation is mainly driven by wind and river flow, with a minor contribution of the local microtidal regime. This lagoon is one of the most studied coastal water bodies in Brazil. The Patos Lagoon suspended particulate matter (SPM) data compendium consists of over four decades of SPM data gathered from multiple research and monitoring projects. Data consist of SPM in situ samplings, remote sensing derived SPM estimates, rating curve approach for SPM estimates and SPM derived from turbidity measurements. Only measurements with a detailed description of the sampling and analysis protocols were used. The present data set offers valuable contributions as it allows the assessment of trends on the data and the short-and long-term spatial and temporal variability of SPM concentrations in an area where permanent monitoring stations are not available. From these records, the SPM concentrations ranged from 0.4 g/m 3 up to 1,000 g/m 3 . The Patos Lagoon SPM Compendium has been made publicly available at Tavora, Fernandes and Möller (2020).

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A regional algorithm for investigating the Patos Lagoon coastal plume using Aqua/MODIS and oceanographic data

Cited by 2 publications

References 20 publications

Optimizing Optical Coastal Remote-Sensing Products: Recommendations for Regional Algorithm Calibration

Optimizing Optical Coastal Remote-Sensing Products: Recommendations for Regional Algorithm Calibration

Patos Lagoon, Brazil, Suspended Particulate Matter (SPM) data compendium

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