A GIS method for reconstruction of late Quaternary landscapes from isobase data and modern topography

Leverington, David; Teller, James T.; Mann, Jason D.

doi:10.1016/s0098-3004(01)00097-8

Cited by 63 publications

(41 citation statements)

References 32 publications

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“…The selection of TIN method was based on e.g. Burrough & McDonnell (1998), Oksanen (1998), Leverington et al (2002) and Mäkiaho (2007), who noted that the TIN interpolation works best when creating digital topography from irregularly spaced data points with variable elevation. In addition, Oksanen (1998) previously tested that TIN model and trend surface interpolations are the most suitable methods to interpolate the geographically varying level of the ancient shorelines of the Baltic Sea basin in Finland.…”

Section: Shoreline Reconstructionsmentioning

confidence: 99%

Development of an ancient shoreline database to reconstruct the Litorina Sea maximum extension and the highest shoreline of the Baltic Sea basin in Finland

Ojala¹,

Palmu²,

Åberg³

et al. 2013

Bull Geol Soc Finland

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An ArcGIS geodatabase called the Ancient Shoreline Database (ASD) was developed for the study and interpretation of ancient shorelines and shoreline displacement information. It was further divided into the Isolation Database (ISD) and Shoreline Landform Database (SLD) based on the characteristics of the available information. In the current study, observations related to the maximum extension of the Litorina Sea and the highest shoreline in Finland were carefully recorded and classified in the ASD. A total of 1625 shoreline observations were stored in the ASD, of which 106 were stratigraphic data points from dated isolation horizons (ISD) and the remaining 1519 were data points representing morphological shoreline observations (SLD). This paper describes the content of the ASD in terms of the variability and reliability of collated data points, but also introduces how modern LiDAR-based digital elevation models were utilized in validating the published observations as well as in interpreting new data points related to ancient shorelines from areas lacking information. The compiled ASD was used to reconstruct the diachronous maximum extension of the Litorina Sea and the highest shoreline of the Baltic Sea basin in Finland.

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Section: Shoreline Reconstructionsmentioning

confidence: 99%

Development of an ancient shoreline database to reconstruct the Litorina Sea maximum extension and the highest shoreline of the Baltic Sea basin in Finland

Ojala¹,

Palmu²,

Åberg³

et al. 2013

Bull Geol Soc Finland

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“…To calculate the reservoir geometry of the superlake, we employ the methods described by Mann et al (1999) and Leverington et al (2002b). Based on modern topographic data (30 Â 30 arcsec cells; GLOBE Task Team, 1999) and bathymetric data for Hudson Bay (5 Â 5 arcmin cells; National Geophysical Data Center, 1988), a digital elevation model (DEM) of the present day topographic surface was constructed.…”

Section: Reservoir Geometry and Lake Levelsmentioning

confidence: 99%

Paleohydraulics of the last outburst flood from glacial Lake Agassiz and the 8200BP cold event

Clarke

Leverington

Teller

et al. 2004

Quaternary Science Reviews

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293

214

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“…Next, the minimum measured paleoshoreline elevation value attributed to a water plane was subtracted from the respective water plane raster; the result represented differential rebound relative to the lowest sampled feature. Next, each relative rebound raster was subtracted from a contemporary digital elevation model (DEM), thereby generating a set of three proglacial elevation models that reflected the immense weight of the Laurentide ice sheet; this mapping method is similar the methods used by Krist and Schaetzl (2001), Drzyzga et al (2002) and Leverington et al (2002). Finally, elevations greater than the aforementioned lowest measured elevation were classified as above water; the balance was classified as not above water.…”

Section: Methodsmentioning

confidence: 99%

Mapping the phases of Glacial Lake Algonquin in the upper Great Lakes region, Canada and USA, using a geostatistical isostatic rebound model

2011

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This study reviews Glacial Lake Algonquin, examines the Main and two ''Upper Group'' phases in northern Michigan and nearby Ontario, reports their spatial extents, and reassesses the lake history in light of isostatic rebound. Our paper presents the most accurate and detailed maps of Glacial Lake Algonquin in this region that have yet been published. Fieldwork was conducted at 243 ancient shoreline sites, which yielded position data that support geostatistical models that represent differentially upwarped water planes. Model parameters that describe water plane tilt are reported for the Main, Ardtrea and Upper Orillia phases. Geostatistical water plane models were used to adjust a digital contemporary elevation model, thereby creating a digital proglacial elevation model for each phase. Maps of these phases and the data that support them suggest (1) proto-Cockburn Island, Ontario existed as an islet in the lake that was deglaciated before the outlet at North Bay, Ontario was opened, (2) the Main and Ardtrea phases of the lake extended into the northern Lake Michigan basin, and (3) the Main and Ardtrea water planes intersect at places near Little Traverse Bay (by Lake Michigan) and Thunder Bay (by Lake Huron). Mapped isobases generally conform to those published in other works and suggest the regional pattern of isostatic adjustment has not changed substantially during the last 13,000 years.

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A GIS method for reconstruction of late Quaternary landscapes from isobase data and modern topography

Cited by 63 publications

References 32 publications

Development of an ancient shoreline database to reconstruct the Litorina Sea maximum extension and the highest shoreline of the Baltic Sea basin in Finland

Development of an ancient shoreline database to reconstruct the Litorina Sea maximum extension and the highest shoreline of the Baltic Sea basin in Finland

Paleohydraulics of the last outburst flood from glacial Lake Agassiz and the 8200BP cold event

Mapping the phases of Glacial Lake Algonquin in the upper Great Lakes region, Canada and USA, using a geostatistical isostatic rebound model

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