This paper generates a new data set of streamlined glacial bedforms in southern Sweden, which is used both to test conclusions from previous work on streamlined bedform morphometrics and to advance our knowledge of streamlined bedforms on the Scandinavian Shield. The data set consists of streamlined glacial bedforms in southeast Sweden mapped from the new LiDAR-derived Swedish National Height Model, which has a pixel resolution of 2.0. m with a vertical resolution of 1. cm. We have mapped 10,311 features; of the mapped features, 135 are known to have an unconsolidated sediment core, 2120 a bedrock component, and 8055 whose core composition is unknown. The extracted morphological variables are then subjected to a univariate and bivariate analysis. We find that the extracted characteristics broadly fit into the lower end of the modal and median value spectrum of similar bedforms from around the world. The distribution of the variables is found to be log-normal to a first-order approximation. The covariant relationships between height and length, width and area are examined after the variables have been log-transformed and are found to be significant, if not particularly strong. Rock-cored features are found to have a longer modal length than soft-cored features, which suggests that reconstructions of past flow velocities from streamlined landforms need to closely consider core-type. Additionally, we find no support for a derived scaling law for streamlined features by plotting length, width, and elongation ratio against one another.
The authors wish to thank Helena Alexanderson (Lund University) and Ivar Örn Benediktsson (Lund University) for reading drafts of this paper. Thanks to Björn Holmqvist (Lund University) and Yumiko Ishido (Hitachi Research) for providing insightful statistical discussions and Florian Adolphi for Matlab assistance. Finally, thanks also go to Simon Dowling and Emma Olley (who also assisted with fieldwork) for a review of the English language. A grant from the Royal Physiographic Society in Lund (http://www.fysiografen.se/sv/, ref: kgl-fys2012-11-14) enabled some of the fieldwork done for this paper. The comments of two anonymous reviewers were of great use and have made this paper stronger, which is greatly appreciated. The LiDAR data used in this work is used under Lantmäteriet agreement number: i2012/927.