The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM)

Slonecker, E. Terrence; Jones, Daniel K.; Pellerin, Brian A.

doi:10.1016/j.marpolbul.2016.02.076

Cited by 82 publications

(61 citation statements)

References 63 publications

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“…L8 aims to provide data continuity to the global NASA Landsat Earth observation program that started in the 1970s. The OLI sensor has been evaluated to be suitable for the assessment of water quality and water constituents in many water bodies such as lakes, estuaries, rivers and coastal zones Vanhellemont & Ruddick, 2014;Brando et al, 2015;Franz et al, 2015;Lobo et al, 2015;Slonecker et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

et al. 2018

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For effective lakes' management, highfrequent water quality data on a synoptic scale are essential. The aim of this study is to test the suitability of the latest generation of satellite sensors to provide information on lake water quality parameters for the five largest Italian subalpine lakes. In situ data of phytoplankton composition, chlorophyll-a (chl-a) concentration and water reflectance were used in synergy with satellite observations to map some algal blooms in 2016. Chl-a concentration maps were derived from satellite data by applying a bio-optical model to satellite data, previously corrected for atmospheric effects. Results were compared with in situ data, showing good agreement. The shape and magnitude of water reflectance from different satellite data were consistent. Output chl-a concentration maps, show the distribution within each lake during blooming events, suggesting a synoptic view is required for these events monitoring. Maps show the dynamic of bloom events with concentration increasing from 2 up to 7 mg m -3 and dropping again to initial value in less than 20 days. Latest generation sensors were shown to be valuable tools for lakes monitoring, thanks to frequent, free of charge data availability over long time periods.

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Section: Introductionmentioning

confidence: 99%

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

et al. 2018

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“…Apart from the above variables, chromophoric dissolved organic matter (CDOM), the optically active fraction of bulk dissolved organic matter (DOM), plays an important part in the biogeochemistry cycle of nutrients and is often coupled with nutrients from which biologically available nitrogen or phosphorus is released for phytoplankton growth (Stedmon et al, 2007a;Zhang et al, 2011;Slonecker et al, 2016). Excitation emission matrix fluorescence coupled with parallel factor analysis (EEM-PARAFAC) has been considered the most effective tool for characterizing CDOM and assessing its sources and dynamics in a wide range of aquatic environments (Jørgensen et al, 2011;Yamashita et al, 2013;DeVilbiss et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm

Kong

Sun

et al. 2017

Marine Pollution Bulletin

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“…The improved capabilities of Landsat 8 Operational Land Imager (L8/ OLI) data, including an additional shorter blue band, a narrower near-infrared band, a 12 bit radiometric resolution, and higher signal-to-noise ratios, may improve capacities to monitor high turbid waters [Olmanson et al, 2016]. L8 data have recently been used to estimate Secchi-disk depths, sediment plumes, colored dissolved organic matter, water clarity levels, total suspended matter, and macroalgal blooms with considerable success [Barnes et al, 2015;Concha and Schott, 2016;Lee et al, 2016;Lymburner et al, 2016;Olmanson et al, 2016;Slonecker et al, 2016;Xing and Hu, 2016]. However, to our knowledge, SPM estimations from L8/ OLI have been seldom applied for the Yellow River estuary despite their evident potential.…”

Section: Introductionmentioning

confidence: 99%

Using Landsat 8 data to estimate suspended particulate matter in the Yellow River estuary

et al. 2017

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The distribution of suspended particulate matter (SPM) and its variations in estuary regions are key to promoting carbon, oxygen, and nutrient cycling in coastal regions and nearby seas. This study presents SPM estimations for the Yellow River estuary from Landsat 8 Operational Land Imager (L8/OLI) data from 2013 to 2016. L8/OLI‐measured remote sensing reflectance (Rrs) was cross‐validated with Moderate Resolution Imaging Spectroradiometer (MODIS) measurements, and SPM concentrations calculated from the tuned retrieval model were validated with in situ observations. The validation shows that L8/OLI can provide reasonably Rrs, which can be used to quantify SPM distributions and variations in the Yellow River estuary. Three year averaged SPM maps show that highly turbid waters are mostly found in an ovate area surrounding the mouth of the Yellow River. The corresponding area proportion is less than 30%, with SPM concentrations greater than 100 g m−3. High variations of SPM distributions are consistent with high SPM concentrations, and vice versa. Significant difference is observed between dry and wet seasons. Higher SPM in the dry season is observed both in range and intensity compared to those of the wet season. Furthermore, multiyear averaged SPM distributions with high concentrations are mainly attributable to currents. Significant seasonal variations are mainly controlled by sediment resuspension processes driven by wind‐wave forces. Due to human interventions, seasonal variability in river runoff and sediment discharge from the Yellow River has decreased in recent years. Accordingly, seasonal variability in SPM distributions in the Yellow River estuary due to sediment discharge has decreased.

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The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM)

Cited by 82 publications

References 63 publications

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm

Using Landsat 8 data to estimate suspended particulate matter in the Yellow River estuary

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