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        "author": "David Shean",
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        "description": "# pygeotools\nLibraries and command line tools for geospatial data processing and analysis\n\n## Features\n- Resample/warp rasters to common resolution/extent/projection\n- Many functions to handle rasters with NoData gaps using [NumPy masked arrays](https://docs.scipy.org/doc/numpy/reference/maskedarray.generic.html)\n- Point data coordinate transformations, sampling, and interpolation routines (e.g., arrays of xyz points)\n- Common raster filtering operations\n\n### Libraries [pygeotools/lib](./pygeotools/lib) \n- geolib - Coordinate transformations, raster to vector, vector to raster\n- malib - NumPy Masked Array operations, DEMStack class\n- warplib - On-the-fly GDAL warp operations for abitrary number of input datasets\n- iolib - File input/output, wrappers for GDAL I/O, masked array write to disk\n- timelib - Time conversions, extract timestamps from filenames, useful for raster time series analysis\n- filtlib - Collection of filters for 2D masked arrays (Gauss, rolling median, high pass, etc.)\n\n### Command-line utilities (run with no arguments for usage)\n- warptool.py - Warp arbitrary rasters to common res/extent/proj\n- make_stack.py - Create a \"stack\" of input rasters (a raster time series object) and compute stats\n- clip_raster_by_shp.py - Clip and mask an input raster using a polygon shapefile\n- apply_mask.py - Apply mask from one raster to another\n- filter.py - Apply various filters available in filtlib\n- trim_ndv.py - Remove rows/cols containing only NoData from raster margins\n- replace_ndv.py - Replace NoData value\n- proj_select.py - Automatically determine projection for input lat/lon or raster\n- raster2shp.py - Create polygon shapefile of input raster footprints\n- ogr_merge.sh - Merge shapefiles\n- ...\n\n## Examples \n\n### Warping multiple datasets to common grid, computing difference, writing out\n```\nfrom pygeotools.lib import iolib, warplib, malib\nfn1 = 'raster1.tif'\nfn2 = 'raster2.tif'\nds_list = warplib.memwarp_multi_fn([fn1, fn2], res='max', extent='intersection', t_srs='first', r='cubic')\nr1 = iolib.ds_getma(ds_list[0])\nr2 = iolib.ds_getma(ds_list[1])\nrdiff = r1 - r2\nmalib.print_stats(rdiff)\nout_fn = 'raster_diff.tif'\niolib.writeGTiff(rdiff, out_fn, ds_list[0])\n```\nor, from the command line... \n\nWarp all to match raster1.tif projection with common intersection and largest pixel size:\n\n`warptool.py -tr max -te intersection -t_srs first raster1.tif raster2.tif raster3.tif`\n\nCreate version of raster1.tif that matches resolution, extent, and projection of raster2.tif:\n\n`warptool.py -tr raster2.tif -te raster2.tif -t_srs raster2.tif raster1.tif`\n\nReproject and clip to user-defined extent, preserving original resolution of each input raster:\n\n`warptool.py -tr source -te '439090 5285360 458630 5306450' -t_srs EPSG:32610 raster1.tif raster2.tif`\n\n### Creating a time series \"stack\" object:\n```\nfrom pygeotools.lib import malib\nfn_list = ['20080101_dem.tif', '20090101_dem.tif', '20100101_dem.tif']\ns = malib.DEMStack(fn_list, res='min', extent='union')\n#Stack standard deviation\ns.stack_std\n#Stack linear trend\ns.stack_trend\n```\nor, from the command line...\n\n`make_stack.py -tr 'min' -te 'union' 20*.tif`\n\n## Documentation\n\nhttp://pygeotools.readthedocs.io\n\n## Installation\n\nInstall the latest release from PyPI:\n\n    pip install pygeotools \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/pygeotools.git\n    pip install -e pygeotools\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- [GDAL/OGR](http://www.gdal.org/)\n- [NumPy](http://www.numpy.org/)\n- [SciPy](https://www.scipy.org/)\n\n### Optional requirements (needed for some functionality) \n- [matplotlib](http://matplotlib.org/)\n- [NASA Ames Stereo Pipeline (ASP)](https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/ngt/stereo/)\n\n## Disclaimer \n\nThis originated as a personal repo that I am slowly cleaning up and distributing.  There are some useful things that work very well, other things that were hastily written for a one-off task several years ago, and some confusing things that were never finished. \n\nContributions, bug reports, and general feedback are all welcome.  My time is limited, I have some bad habits, and I could really use some help.  Thanks in advance.\n\nThis was all originally developed for Python 2.X, but should now also work with Python 3.X thanks to [@dlilien](https://github.com/dlilien)\n\nSome of this functionality now exists in the excellent, mature, well-supported [rasterio](https://github.com/mapbox/rasterio).  Eventually, I will integrate rasterio API calls where appropriate.\n\n## License\n\nThis project is licensed under the terms of the MIT License.\n\n",
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