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M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by...
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,... -
VOSTOK - The Voxel Octree Solar Toolkit
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,... -
3D Micro-Mapping of Subsidence Stations [Source Code and Data]
This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and... -
HELIOS full-waveform laser scanning simulation framework. Source code, precom...
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... -
An Automatic Iterative Random Forest approach to derive gully activity maps i...
Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1, and... -
Manually labeled terrestrial laser scanning point clouds of individual trees ...
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... -
Integrating VGI contributions for gully mapping using Kalman filter and machi...
The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of... -
UAV laser scanning and terrestrial laser scanning point clouds of snow-on and...
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... -
3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for...
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... -
Correspondence-driven plane-based M3C2 for quantification of 3D topographic c...
The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform... -
Gully detection with Inverse Morphological Reconstruction Algorithm [data]
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... -
Classification of Types of Changes in Gully Environments Using Time Series Fo...
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)... -
Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applica...
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... -
Temporal aggregation of point clouds improves permanent laser scanning of lan...
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... -
Classification of structural building damage grades from multi-temporal photo...
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... -
Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using T...
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... -
Improving change analysis from near-continuous 3D time series by considering ...
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... -
DAZZLE: Drone-Acquired Zebra data for Large-scale Ecology research
DAZZLE Dataset consists of semi-automatically labeled behaviors of plains and Grévy's zebras holistically for all individuals in complete scenes, in addition to bounding boxes...
