1,394 datasets found

Tanzfonds Erbe war eine Initiative der Kulturstiftung des Bundes, die von 2011 bis 2019 künstlerische Projekte zum Tanzerbe förderte. Projektträger war DIEHL + RITTER (heute...

This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further...

This data collection enables any user to reproduce the study Hämmerle et al. (2017). It provides the source code to compile the applied simulation framework. Furthermore, a...

How do different characteristics of pay-for-performance schemes affect fairness perceptions? In two studies, we systematically consider three major classes of incentive schemes:...

The analysis of topographic time series is often based on bitemporal change detection and quantification. For 3D point clouds, acquired using laser scanning or photogrammetry,...

Economists widely rely on measures of inflation expectations and uncertainty elicited via density forecasts. This approach, which asks respondents to assign probabilities to...

VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation,...

Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1, and...

This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood...

This dataset consists of 3D point clouds acquired via UAV laser scanning (ULS) of a forest plot in the Black Forest in Hundseck, Germany. The plot was captured under snow...

This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in...

The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform...

This dataset contains participant-level data from a prospective, multi-country diagnostic accuracy study evaluating the performance of the MiniDock MTB assay for detection of...

Characterization of micro-terrain features has been explored to detect gully objects in the terrain. An adaptation to the morphological reconstruction operator is implemented to...

This code implements the TimeSeriesForest algorithm to classify different types of changes in gully environments. i)gully topographical change, ii)no change outside gully, iii)...

Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and...

Abstract: Permanent laser scanning has recently developed as a technology to monitor landslides by repeatedly acquiring point clouds at short intervals (e.g., sub-hourly). In...

Automatic damage assessment by analysing UAV-derived 3D point clouds provides fast information on the damage situation after an earthquake. However, the assessment of different...

Characterization of micro-terrain features has been explored to detect convex and concave features in the terrain. The analysis of first and second derivatives of a function...

This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and...