Utilities for DEM co-registration
Project description
# demcoreg
Python and shell scripts for co-registration of rasters, specifically digital elevation models (DEMs).
## Overview
Work in progress…
## Features - Automatic determination of static control surfaces - Least-squares regression to correct a group of DEMs
### Some useful command-line utilities (run with no arguments for usage) - dem_mask.py - generate mask of snow-free rock surfaces using reflectance, LULC, SNODAS, MODSCAG - coreglib.py - implementation of various co-registration algorithms: Nuth and Kaab (2011), normalized cross-correlation with sub-pixel refinement, sum of absolute differences - pc_align_wrapper.sh - wrapper around NASA Ames Stereo Pipeline pc_align utility for iterative closest point co-registration - apply_dem_translation.py - update geotransform and apply vertical offset - compute_dz.py - simple DEM difference calculation - robust_stats.py - print out robust statistics for sampled DEM differences before/after co-registration - …
## Examples
## Installation
Install the latest release from PyPI:
pip install demcoreg
Note: by default, this will deploy executable scripts in /usr/local/bin
### Building from source
Clone the repository and install:
git clone https://github.com/dshean/demcoreg.git pip install -e demcoreg/
The -e flag (“editable mode”, setuptools “develop mode”) will allow you to modify source code and immediately see changes.
### Core requirements - [GDAL/OGR](http://www.gdal.org/) - [NumPy](http://www.numpy.org/) - [pygeotools](https://github.com/dshean/pygeotools)
### Optional requirements (needed for some functionality) - [matplotlib](http://matplotlib.org/) - [SciPy](https://www.scipy.org/) - [NASA Ames Stereo Pipeline (ASP)](https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/ngt/stereo/)
## License
This project is licensed under the terms of the MIT License.
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