2022
DOI: 10.1016/j.apgeog.2022.102792
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Inferring volumetric changes at a shallow lake from subpixel satellite-derived shorelines

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Cited by 3 publications
(5 citation statements)
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“…As a result, it is expected that the lakebed surface was temporarily exposed during intermittent or seasonal dry periods. For the remaining 33 years where the minimum level recorded was above zero, the seasonal variability of the lake, expressed as the difference between the maximum and minimum lake levels per year, was an average of 0.46 m. A detailed evolution of the water surface and volume evolution of Gallocanta Lake during the last decades from satellite imagery is available in Palomar‐Vázquez et al (2022). A selection of some remote sensed images has been included in Figure 6b for illustrating the different aspects of the lake during contrasted water level stages.…”
Section: Resultsmentioning
confidence: 99%
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“…As a result, it is expected that the lakebed surface was temporarily exposed during intermittent or seasonal dry periods. For the remaining 33 years where the minimum level recorded was above zero, the seasonal variability of the lake, expressed as the difference between the maximum and minimum lake levels per year, was an average of 0.46 m. A detailed evolution of the water surface and volume evolution of Gallocanta Lake during the last decades from satellite imagery is available in Palomar‐Vázquez et al (2022). A selection of some remote sensed images has been included in Figure 6b for illustrating the different aspects of the lake during contrasted water level stages.…”
Section: Resultsmentioning
confidence: 99%
“…The lake water level data come from field readings managed by the Ebro River Basin Authority (Confederación Hidrográfica del Ebro, CHE). Previous studies estimated the water surface from satellite images for the periods 1991–2000 (CHE, 2004) and 1984–2020 (Palomar‐Vázquez et al, 2022), although both studies encompassed a broad area around the main lake body. These datasets were not considered here in order to maintain the data source homogeneity and avoid any mixture of different types of information that produce different types of variables, often difficult to compare.…”
Section: Methodsmentioning
confidence: 99%
“…On that day, significant discrepancies appeared among both VDWLs (defined by P1 and P2) when using the same type of image (Timex and Snap), but also when the same user employed different types of images. This was largely motivated by the presence of water-covered areas produced by the tidal ebb, also possibly influenced by the high range of the spring tides that occurred a few days earlier (17)(18)(19)). This is an example of another source of uncertainty in the analysis that hinders photo interpretations in mesotidal environments and with the presence of mesoforms.…”
Section: The Uncertainty In the Waterline Definition In Dissipative C...mentioning
confidence: 99%
“…This is the case of the MNDW index developed by Xu [16] and employed by CoastSat [10] and the AWEI index proposed by Feyisa et al [17]. In turn, AWEInsh with a 0 threshold has appeared as a robust and accurate method for shoreline extraction both at oceanic coasts [18] and inland water bodies [19].…”
Section: Introductionmentioning
confidence: 99%
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