2 results match your criteria: "Finnish Geospatial Research Institute in the National Land Survey of Finland[Affiliation]"
Sci Data
November 2024
Finnish Geospatial Research Institute in the National Land Survey of Finland, Department of Remote Sensing and Photogrammetry, Espoo, 02150, Finland.
In the present paper, we introduce a high-resolution spatiotemporal point cloud time series, acquired using a LiDAR sensor mounted 30 metres above ground on a flux observation tower monitoring a boreal forest. The dataset comprises a 18-month long (April 2020 - September 2021) time series with an average interval of 3.5 days between observations.
View Article and Find Full Text PDFInt J Earth Sci
February 2018
1Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria.
Shell beds represent a useful source of information on various physical processes that cause the depositional condition. We present an automated method to calculate the 3D orientations of a large number of elongate and platy objects (fossilized oyster shells) on a sedimentary bedding plane, developed to support the interpretation of possible depositional patterns, imbrications, or impact of local faults. The study focusses on more than 1900 fossil oyster shells exposed in a densely packed Miocene shell bed.
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