2016
DOI: 10.2112/si74-014.1
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Detection of Low Salinity Groundwater Seeping into the Eastern Laizhou Bay (China) with the Aid of Landsat Thermal Data

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Cited by 13 publications
(11 citation statements)
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“…For example, McCaul et al (2016) proposed a multi-approach methodology for understanding submarine and intertidal groundwater discharge patterns. Xing et al (2016) evaluated the ability of satellite remote sensing methods (Landsat 7 and 8) to detect thermal anomalies related to SGD as a possible index of the presence of offshore low-salinity groundwater storage at local scale. To the best of our knowledge, there is no study that thoroughly compares SGD locations with satellite-data-derived thermal anomalies over large spatial scales in order to assess the suitability of satellite TIR-RS data for conducting SGD research.…”
Section: Introductionmentioning
confidence: 99%
“…For example, McCaul et al (2016) proposed a multi-approach methodology for understanding submarine and intertidal groundwater discharge patterns. Xing et al (2016) evaluated the ability of satellite remote sensing methods (Landsat 7 and 8) to detect thermal anomalies related to SGD as a possible index of the presence of offshore low-salinity groundwater storage at local scale. To the best of our knowledge, there is no study that thoroughly compares SGD locations with satellite-data-derived thermal anomalies over large spatial scales in order to assess the suitability of satellite TIR-RS data for conducting SGD research.…”
Section: Introductionmentioning
confidence: 99%
“…The most commonly applied sensor in STE investigations is the thermal infrared (TIR) sensor, which can exploit temperature differences between seawater and terrestrial groundwater at the sea-surface (Figure 5). TIR detects groundwater inflow locations by identifying a thermal anomaly based on mono-temporal investigations (Fischer et al, 1964;Mejias et al, 2012;Wilson and Rocha, 2012;Kelly et al, 2013;Mallast et al, 2014;Xing et al, 2016), or multi-temporal investigations (Schubert et al, 2014;Oehler et al, 2018), and can be used to quantify freshwater fluxes given in-situ reference data of currents and bathymetry (Roseen, 2002;Johnson et al, 2008;Danielescu et al, 2009;Tamborski et al, 2015). The extent and shape of sea-surface temperature anomalies can indicate specific STE processes and characteristics (Chen, 1991;Jirka, 2004).…”
Section: Remote Sensingmentioning
confidence: 99%
“…Thus, identifying SGD springs using Landsat 8 TIRS has some limitations, as the success rate was slightly less than 50%. The following potential limitations have been previously reported in the literature in some local studied areas: only information for the first millimeters of seawater is available (Donlon et al, 2002;Wloczyk et al, 2006), spatial resolution (Wilson & Rocha, 2012), period of the year (Bayari & Kurttas 2002;Wilson & Rocha 2012;Xing et al, 2016), the results are highly dependent on atmospheric temperature, seawater currents, wind speed and direction, sea surface effects (Kelly et al, 2013) and cloud cover, and the need for specialist knowledge to convert the data into accessible (visualized) information (McCaul, 2016).…”
Section: Conceptual Framework To Asses Factors Influencing the Identification Of Sgd Springsmentioning
confidence: 99%
“…Although this study focused regionally on the Mediterranean Sea basin, it can be extrapolated to other parts of the world, in places where the SGD has sufficient thermal contrast when discharging into the sea. This technique has been successfully used in regional areas such as Ireland (Wilson & Rocha, 2012;McCaul et al, 2016) or the Laizhou Bay in China (Xing et al, 2016). However, in areas where the thermal contrast between the sea and the aquifer is low and/or temperature does not fluctuate during the year, such as in tropical zones, the use of satellite images represents a challenge that must be explored in detail.…”
Section: Challenge and Recommendations For Future Sgd Studies And Application In Other Areasmentioning
confidence: 99%
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