Codes
Data Archives and Policies
We strive to make all codes and data publically available. We use github to share codes and manuals and some of our datasets are published on the GFZ Data Portal or Zenodo.
Codes and manuals are grouped into:
PointCloud (PC) Analysis
- Facet Flow Network and code for FacetFlowNetwork
- Curvature-based pebble segmentation and code and Data on Zenodo
- Refining point-cloud neighborhood construction for improved classification and code
- Sparse Vegetation Detection Algorithm for ICESat data and code and Tutorials
- Comparison of KDTree implementations for Lidar PointClouds
- Python3 module for reading uncompressed lidar full waveform PulseWaves files
- Teaching Materials and Tutorials for a Point Cloud Workshop in May 2022
- Teaching Materials and Tutorials for a Point Cloud Workshop in October 2019
Image Segmentation for Environmental Applications
- Introducing PebbleCounts: a grain-sizing tool for photo surveys and code and tutorials
- PebbleCounts Applications and code and Tutorials
Offset Tracking
- Tracking landslides with Planetscape data and code and tutorials
- Time-series inversion of a synthetic displacement signal
- Use Mintpy with PlanetScope data
Digital Elevation Models (DEM) Analysis
- Clustering River Profiles and code
- Optimal Grid Resolution for DEMs and code
- Python 3 implementation of the Multiple Flow Direction (MFD) algorithm
- Measuring Decadal Vertical Land-level Changes from SRTM-Cand TanDEM-X and code
- DEM Consistency Metrics and code and Tutorial
- Identification of Debris-Flow Channels Using High-Resolution Topographic Data and code
- Climatic and Biotic Controls on Topographic Asymmetry and code
- Processing SPOT6/7 Images with the Ames Stereo Pipeline and code and Tutorials
- DTM Surface Area Estimation and Slope and code
Tutorials for Meshes and Structure-from-Motion Applications
- Generating Meshes with AgiSoft Metashape
- Camera Calibration Tutorial
- OpenCV Camera Calibration Model Comparison
Time Series Analysis
- Python C-extension for memory efficient and multithreaded Pearson product-moment correlation coefficient
- Moraine age calculation from CRN samples using a Gaussian Fitting approach and code