PennyHow / PyTrx
PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
☆43Updated last year
Alternatives and similar repositories for PyTrx:
Users that are interested in PyTrx are comparing it to the libraries listed below
- NASA’s Cryosphere Altimetry Processing Toolkit☆62Updated 9 months ago
- Utilities for DEM and point cloud co-registration☆116Updated 3 months ago
- an automated river analysis and mapping engine☆73Updated 3 months ago
- Historical Image Pre-Processing☆22Updated last year
- Tutorial demonstrating DEM co-registration☆26Updated 11 months ago
- Analysis of georeferenced rasters, vectors and point clouds☆93Updated 3 weeks ago
- The Surface Extraction from TIN-based Searchspace Minimization (SETSM) software is a fully automatic algorithm for deriving Digital Terra…☆66Updated 8 months ago
- Interactive tutorials for the NASA Ames Stereo Pipeline☆13Updated 8 months ago
- Analysis of digital elevation models (DEMs)☆159Updated last week
- Automated SfM processing of historical aerial photographs.☆32Updated last year
- Tools and libraries for processing Planet SkySat imagery, including camera model refinement, stereo reconstruction, and orthomosaic produ…☆67Updated last year
- Scripts and documentation for processing declassified spy satellite images from Corona and Hexagon with the Ames Stereo Pipeline☆16Updated last year
- Notebooks for working with lsdtopotools in python☆10Updated 2 months ago
- A python package for processing KH-9 and historical aerial imagery using MicMac☆13Updated this week
- Extracting and quantifying graphical representations of river and delta channel networks from binary masks☆85Updated 5 months ago
- A Python script for preforming refraction correction on Structure from Motion datasets.☆22Updated 2 years ago
- GUI based toolbox for calculating glacier surface velocities from satellite imagery.☆22Updated 2 years ago
- A fast, versatile and user-friendly landscape evolution model☆62Updated 3 weeks ago
- From point clouds and full-waveform data to DEM analysis (Sep-30 to Oct-4 2019)☆16Updated 5 years ago
- Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).☆15Updated 2 years ago
- Download and merge DEM tiles☆44Updated this week
- Image Georectification and Feature Tracking toolbox for MATLAB☆30Updated 7 months ago
- Conveniently search, download, and process ArcticDEM and REMA products☆24Updated this week
- Notes and code to understand and successfully perform accurate 3D coordinate reference system (CRS) transformations☆13Updated 2 weeks ago
- Apply a 2D Fourier transform to a gridded DEM to look for length scales and noise☆9Updated 3 years ago
- Python tools for obtaining and working with elevation data from the NASA ICESat-2 mission☆74Updated 3 months ago
- Information on GrIMP tools with links to other repositories☆20Updated 2 years ago
- tools for InSAR processing on AWS☆81Updated 8 months ago
- Workflows for MMASTER☆12Updated 2 weeks ago
- Greenland liquid water runoff from 1958 through 2019☆16Updated 7 months ago