Mapping inland water carbon content with Landsat 8 data

Kutser, Tiit; Casal, Gema; Barbosa, Cláudio Clemente Faria; Paavel, Birgot; Ferreira, Rute; Carvalho, Lino Augusto Sander de; Toming, Kaire

doi:10.1080/01431161.2016.1186852

Cited by 37 publications

(17 citation statements)

References 30 publications

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“…Over the studied period, the average values for chl-a (1.3 ± 0.4 mg L −1 ), DOC (306 ± 27 µmol L −1 ), pCO 2 (2777 ± 1719 µatm) and temperature (29.8 ± 0.8 °C) recorded over the Lower Amazon River were in the range of observations previously reported in the region [7,8,14,39]. The average a CDOM (412) (m −1 ) for the Amazon River during these cruises (3.6 ± 1.0 m −1 ) was similar to the a CDOM (400) value (2.97 m −1 ) reported for the Curuai floodplain [50] (Table 2). Amazon River samples had slightly lower temperature and chl-a values than the CW tributaries, with their higher primary production rates and lower turbidity [51] (Table 2).…”

Section: Optical and Biogeochemical Variability Of The Lower Amazon Rsupporting

confidence: 85%

Using CDOM optical properties for estimating DOC concentrations and pCO₂ in the Lower Amazon River

et al. 2018

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Coloured dissolved organic matter (CDOM) is one of the major contributors to the absorption budget of most freshwaters and can be used as a proxy to assess non-optical carbon fractions such as dissolved organic carbon (DOC) and the partial pressure of carbon dioxide (pCO). Nevertheless, riverine studies that explore the former relationships are still relatively scarce, especially within tropical regions. Here we document the spatial-seasonal variability of CDOM, DOC and pCO, and assess the potential of CDOM absorption coefficient (a(412)) for estimating DOC concentration and pCO along the Lower Amazon River. Our results revealed differences in the dissolved organic matter (DOM) quality between clearwater (CW) tributaries and the Amazon River mainstream. A linear relationship between DOC and CDOM was observed when tributaries and mainstream are evaluated separately (Amazon River: N = 42, R = 0.74, p<0.05; CW: N = 13, R = 0.57, p<0.05). However, this linear relationship was not observed during periods of higher rainfall and river discharge, requiring a specific model for these time periods to be developed (N = 25, R = 0.58, p<0.05). A strong linear positive relation was found between a(412) and pCO(N = 69, R = 0.65, p<0.05) along the lower river. pCO was less affected by the optical difference between tributaries and mainstream waters or by the discharge conditions when compared to CDOM to DOC relationships. Including the river water temperature in the model improves our ability to estimate pCO (N = 69; R = 0.80, p<0.05). The ability to assess both DOC and pCO from CDOM optical properties opens further perspectives on the use of ocean colour remote sensing data for monitoring carbon dynamics in large running water systems worldwide.

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Section: Optical and Biogeochemical Variability Of The Lower Amazon Rsupporting

confidence: 85%

Using CDOM optical properties for estimating DOC concentrations and pCO₂ in the Lower Amazon River

et al. 2018

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“…Surprisingly, the correlation with DOC was even higher (R 2 = 0.92) than with CDOM. If in many lakes the correlation between DOC and its colored component is very strong [38,45,46] then in Estonian lakes the relationship is varying seasonally [47,48]. Moreover, it has been shown [49] that iron bound to carbon molecules absorbs light in a similar way like CDOM and variable carbon to iron ratio makes remote sensing mapping of lake DOC more complicated.…”

Section: Discussionmentioning

confidence: 99%

“…In the absence of better sensors for inland water remote sensing scientists have used land remote sensing satellites like Landsat or EO-1 (Advanced Land Imager and Hyperion) [8,9,13,[18][19][20][35][36][37]41,47,50,51]. EO-1 was an experimental satellite and did not have global coverage.…”

Section: Discussionmentioning

confidence: 99%

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

et al. 2016

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Abstract:The importance of lakes and reservoirs leads to the high need for monitoring lake water quality both at local and global scales. The aim of the study was to test suitability of Sentinel-2 Multispectral Imager's (MSI) data for mapping different lake water quality parameters. In situ data of chlorophyll a (Chl a), water color, colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) from nine small and two large lakes were compared with band ratio algorithms derived from Sentinel-2 Level-1C and atmospherically corrected (Sen2cor) Level-2A images. The height of the 705 nm peak was used for estimating Chl a. The suitability of the commonly used green to red band ratio was tested for estimating the CDOM, DOC and water color. Concurrent reflectance measurements were not available. Therefore, we were not able to validate the performance of Sen2cor atmospheric correction available in the Sentinel-2 Toolbox. The shape and magnitude of water reflectance were consistent with our field measurements from previous years. However, the atmospheric correction reduced the correlation between the band ratio algorithms and water quality parameters indicating the need in better atmospheric correction. We were able to show that there is good correlation between band ratio algorithms calculated from Sentinel-2 MSI data and lake water parameters like Chl a (R 2 = 0.83), CDOM (R 2 = 0.72) and DOC (R 2 = 0.92) concentrations as well as water color (R 2 = 0.52). The in situ dataset was limited in number, but covered a reasonably wide range of optical water properties. These preliminary results allow us to assume that Sentinel-2 will be a valuable tool for lake monitoring and research, especially taking into account that the data will be available routinely for many years, the imagery will be frequent, and free of charge.

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“…Secondly, we used a Landsat 8 image from 8 July 2013 acquired simultaneously with our field campaign in Lake Peipsi and 1-2 days before sampling on the black lakes and Lake Võrtsjärv. Atmospheric correction was performed with four different methods from which ATCOR23 was selected as the best performing method for most of the lakes [27]. More detail about the field campaign and different atmospheric correction methods tested is provided in [27].…”

Section: Satellite Datamentioning

confidence: 99%

“…Atmospheric correction was performed with four different methods from which ATCOR23 was selected as the best performing method for most of the lakes [27]. More detail about the field campaign and different atmospheric correction methods tested is provided in [27]. Sentinel-2 imagery was collected in 11 and 14 August 2015 and processed with SNAP Sentinel-2 toolbox and Sen2Cor atmospheric correction module provided together with the Sentinel Toolbox.…”

Section: Satellite Datamentioning

confidence: 99%

Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters

et al. 2016

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Many lakes in boreal and arctic regions have high concentrations of CDOM (coloured dissolved organic matter). Remote sensing of such lakes is complicated due to very low water leaving signals. There are extreme (black) lakes where the water reflectance values are negligible in almost entire visible part of spectrum (400-700 nm) due to the absorption by CDOM. In these lakes, the only water-leaving signal detectable by remote sensing sensors occurs as two peaks-near 710 nm and 810 nm. The first peak has been widely used in remote sensing of eutrophic waters for more than two decades. We show on the example of field radiometry data collected in Estonian and Swedish lakes that the height of the 810 nm peak can also be used in retrieving water constituents from remote sensing data. This is important especially in black lakes where the height of the 710 nm peak is still affected by CDOM. We have shown that the 810 nm peak can be used also in remote sensing of a wide variety of lakes. The 810 nm peak is caused by combined effect of slight decrease in absorption by water molecules and backscattering from particulate material in the water. Phytoplankton was the dominant particulate material in most of the studied lakes. Therefore, the height of the 810 peak was in good correlation with all proxies of phytoplankton biomass-chlorophyll-a (R 2 = 0.77), total suspended matter (R 2 = 0.70), and suspended particulate organic matter (R 2 = 0.68). There was no correlation between the peak height and the suspended particulate inorganic matter. Satellite sensors with sufficient spatial and radiometric resolution for mapping lake water quality (Landsat 8 OLI and Sentinel-2 MSI) were launched recently. In order to test whether these satellites can capture the 810 nm peak we simulated the spectral performance of these two satellites from field radiometry data. Actual satellite imagery from a black lake was also used to study whether these sensors can detect the peak despite their band configuration. Sentinel 2 MSI has a nearly perfectly positioned band at 705 nm to characterize the 700-720 nm peak. We found that the MSI 783 nm band can be used to detect the 810 nm peak despite the location of this band is not in perfect to capture the peak.

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Mapping inland water carbon content with Landsat 8 data

Cited by 37 publications

References 30 publications

Using CDOM optical properties for estimating DOC concentrations and pCO₂ in the Lower Amazon River

Using CDOM optical properties for estimating DOC concentrations and pCO₂ in the Lower Amazon River

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters

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Mapping inland water carbon content with Landsat 8 data

Cited by 37 publications

References 30 publications

Using CDOM optical properties for estimating DOC concentrations and pCO2 in the Lower Amazon River

Using CDOM optical properties for estimating DOC concentrations and pCO2 in the Lower Amazon River

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery

Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters

Contact Info

Product

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Using CDOM optical properties for estimating DOC concentrations and pCO₂ in the Lower Amazon River

Using CDOM optical properties for estimating DOC concentrations and pCO₂ in the Lower Amazon River