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        "description": "# vmap \n\nVelocity map generation using the NASA Ames Stereo Pipeline (ASP) image correlator\n\n## Overview\n\nThe [ASP/VW](https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/ngt/stereo/) correlator is fast, memory-efficient, multi-threaded, and _generalized_.  This means it can be used for efficient feature tracking operations on two arbitrary input rasters acquired at different times. \n\n### Example\n\n![Rainier velocity map](docs/rainier_vmap.png)\n\n### Command-line examples (run with no arguments for usage)\n\nGenerate a velocity map from two orthorectified images (or any raster in projected coord sys, e.g. high-res DEM shaded relief maps with identical illumination):\n- `vmap.py img1_YYYYMMDD.tif img2_YYYYMMDD.tif` \n- Generates ASP disparity maps (`'-RD.tif'`, `'-F.tif'`, `'-F_smooth.tif'`)\n- By default, calls `disp2v.py` on `'-F.tif'` to generate output velocity products\n- Correlator options are currently hardcoded - can edit directly in main(), but eventually will be accepted as command-line arguments\n\nConvert output ASP disparity map to m/yr or m/day:\n- `disp2v.py img1_YYYYMMDD__img2_YYYYMMDD_vmap/img1_YYYYMMDD__img2_YYYYMMDD_vmap-F.tif`\n- Output: `'_vm.tif'` (velocity magnitude in m/yr or m/day), `'_vx.tif'` (horizontal velocity component), `'_vy.tif'` (vertical velocity component)\n\nPreview subsampled version of disparity map:\n- `disp_view.sh img1_YYYYMMDD__img2_YYYYMMDD_vmap/img1_YYYYMMDD__img2_YYYYMMDD_vmap-F.tif`\n- Creates `'-F_b1_5.tif'` and `'-F_b2_5.tif'` and opens linked view with [`imview.py`](https://github.com/dshean/imview)\n\nSorry about the long filenames.  \n\n## Installation\n\nInstall the latest release from PyPI:\n\n    pip install vmap \n\n**Note**: by default, this will deploy executable scripts in /usr/local/bin\n\n### Building from source\n\nClone the repository and install:\n\n    git clone https://github.com/dshean/vmap.git\n    pip install -e vmap/\n\nThe -e flag (\"editable mode\", setuptools \"develop mode\") will allow you to modify source code and immediately see changes.\n\n### Core requirements \n- [NASA Ames Stereo Pipeline (ASP)](https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/ngt/stereo/)\n- [GDAL/OGR](http://www.gdal.org/)\n- [NumPy](http://www.numpy.org/)\n- [pygeotools](https://github.com/dshean/pygeotools)\n\n### Optional requirements (needed for some functionality) \n- [imview](https://github.com/dshean/imview)\n- [demcoreg](https://github.com/dshean/demcoreg) (offset correction over bare ground surfaces)\n- [matplotlib](http://matplotlib.org/)\n- [SciPy](https://www.scipy.org/)\n\n## License\n\nThis project is licensed under the terms of the MIT License.",
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