Multi-decadal lake-level dynamics in north-eastern Germany as derived by a combination of gauging, proxy-data and modelling

Kaiser, Knut; Heinrich, Ingo; Heine, Iris; Natkhin, Marco; Dannowski, Ralf; Lischeid, Gunnar; Schneider, Thomas; Henkel, Johanna; Küster, Mathias; Heußner, Karl-Uwe; Bens, Oliver; Chmieleski, Jana

doi:10.1016/j.jhydrol.2014.12.057

Cited by 11 publications

(15 citation statements)

References 56 publications

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“…The maximum level changes within one week are only in the range of ±5 cm, with small changes in the water-land border. The decimeter accuracy (RMSE 12 cm, absolute mean error 11 cm) of the indirect lake level reconstruction is in line with the accuracy of flood level estimations based on high-resolution data [53,54] and even better than a previous study in northeastern Germany using aerial photos [33]. However, the levels were systematically underestimated in the range of −20-0 cm (excluding images with sever misclassification of the water-land border).…”

Section: Discussionsupporting

confidence: 84%

“…The lake's water level was reconstructed by intersecting the water-land border with a digital elevation model (DEM), which results in the absolute height of the lake surface (=the lake level) [16,32,33]. The principle is demonstrated in Figure 2.…”

Section: Methodsmentioning

confidence: 99%

“…Multispectral remote sensing data have been successfully used in the past to monitor and map lakes [14][15][16][17] and to monitor coastline changes [18][19][20][21][22][23]. Lake levels can be measured directly by radar altimetry [24][25][26][27] or indirectly by combining topographic data and water-land boundaries [16,[28][29][30][31][32][33]. Indirect reconstruction of lake volumes or levels has been accomplished using aerial photos [33] and medium-resolution data [16,28].…”

Section: Introductionmentioning

confidence: 99%

“…Lake levels can be measured directly by radar altimetry [24][25][26][27] or indirectly by combining topographic data and water-land boundaries [16,[28][29][30][31][32][33]. Indirect reconstruction of lake volumes or levels has been accomplished using aerial photos [33] and medium-resolution data [16,28]. It has also been used to reconstruct water surface elevations during inundations using various types of remote sensing data [29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

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Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series

Heine

Stüve

Kleinschmit

et al. 2015

Water

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Groundwater-fed lakes in northeastern Germany are characterized by significant lake level changes, but for only a few lakes are in situ water level measurements available. In this study, we test the potential of RapidEye satellite images for indirectly reconstructing lake level changes. The lake levels are derived by intersecting water-land borders with a high-resolution digital elevation model (DEM). Based on Lake Fürstenseer (LF), we define requirements and limitations of the method. Water-land borders were extracted automatically from the 37 RapidEye images available for the period between 2009 and 2014. Otsu's threshold was used for the NIR band and for the normalized difference water index (NDWI). The results were validated with in situ gauging, contour lines from the DEM, and in situ Differential Global Positioning System (DGPS) measurements of the shoreline. Using an ideal shoreline subset, the lake levels could be reconstructed with decimeter accuracy using the NIR water-land border, but the levels were systematically underestimated by 0-20 cm. The accuracy of the reconstructed lake level retrieval strongly depends on the precision of the water-land border retrieval, on the accuracy of the DEM, and on the lake level itself. A clear shift of the water-land border with increasing lake level is also essential for the unambiguous reconstruction of different levels. This shift needs to be several times larger than the pixel size. The biggest challenges OPEN ACCESSWater 2015, 7 4176 for lake level reconstruction are the presence of vegetation at the shorelines, the quality of the topographic data in the underwater area, the slope of the shoreline, and shadows in combination with low solar angles.

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Section: Discussionsupporting

confidence: 84%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series

Heine

Stüve

Kleinschmit

et al. 2015

Water

Self Cite

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“…The issue of water level fluctuations is addressed in many limnological studies. The issue is analysed among others in the long-term (Van Der Kamp et al 2008;Propastin 2012;Kaiser et al 2015;Wrzesiński and Ptak 2016) as well as in reference to seasonal fluctuations in the annual cycle (Quinn 2002;Gronewold and Stow 2014;Assani 2016). The present results refer to those of this last set of works, which analysed seasonal water level fluctuations based on hydrological periods designated in the case of lakes in the new methodological approach.…”

Section: Resultssupporting

confidence: 62%

Seasonal structure of water stages on lakes in Northern Poland

Plewa

Wrzesiński

Ptak

2018

Bulletin of Geography. Physical Geography Series

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The paper presents the characteristics of hydrological periods in an average annual cycle in Polish lakes. The types of period and their sequence determine the regime of water stages in lakes. The article applies the unsupervised approach to analysis of water level fluctuation patterns, where the regime is identified by grouping analytical parameters. Hydrological periods were designated by grouping elementary time units of the hydrological year (pentads) based on the similarity of their parameters, namely water level frequency distributions. The analysis covered daily water stages in 33 lakes in Poland from the period from 1984 to 2012. Five types of hydrological period were designated. The studied lakes differ in the number, type and sequence of hydrological periods in an average annual cycle. Most of the lakes (19 lakes) have a 4-period temporal structure of water stages with the course of water stages in a year characteristic of this geographical zone. No spatial patterns occurred in the location of lakes from particular groups. This suggests the dominant role of local factors in determining the seasonality of water stages.

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Large‐scale mapping of anthropogenic relief features—legacies of past forest use in two historical charcoal production areas in Germany

et al. 2020

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With the increasing availability of high‐resolution digital elevation models (DEMs), large‐scale mapping of anthropogenic relief features has become feasible for more areas. However, the landscape‐scale distribution patterns of anthropogenic landforms and the quality of DEM‐based mapping can be highly heterogeneous. In this study, we mapped relict charcoal hearths (RCHs) in two study regions with differing environmental backgrounds, covering forest areas of more than 15,000 km2, analyzed the RCH distributions and evaluated possibilities for predictive modeling of RCH occurrence with respect to natural and cultural landscape structures. More than 45,000 RCHs were recorded in each region, with high site densities even in areas remote from charcoal‐consuming industries. Variations in the quality of DEM‐based mapping were related to small‐scale differences in the DEM quality and larger‐scale substrate heterogeneity. A clear association between RCHs and historical industrial sites was found in the Northern European Lowland; while the density of mapped RCHs was predominantly related to geology and morphology in the lower mountain ranges. The results show that variations in mapping quality across scales and the natural and cultural background of a region need to be considered so that the mapping of anthropogenic relief features can contribute to an improved understanding of land‐use history.

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Multi-decadal lake-level dynamics in north-eastern Germany as derived by a combination of gauging, proxy-data and modelling

Cited by 11 publications

References 56 publications

Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series

Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series

Seasonal structure of water stages on lakes in Northern Poland

Large‐scale mapping of anthropogenic relief features—legacies of past forest use in two historical charcoal production areas in Germany

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