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    "info": {
        "author": "Scott Staniewicz",
        "author_email": "scott.stanie@utexas.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering"
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        "description": "[![Build Status](https://travis-ci.org/scottstanie/sardem.svg?branch=master)](https://travis-ci.org/scottstanie/sardem)\n[![Coverage Status](https://coveralls.io/repos/github/scottstanie/sardem/badge.svg?branch=master)](https://coveralls.io/github/scottstanie/sardem?branch=master)\n\n# DEM creator\n\nTool for making Digital Elevation Maps (DEMs) in Roipac data format (16-bit integers, little endian) for use in Interferometric SAR (InSAR) processing\n\n`createdem` creates a cropped (and possibly upsampled) digital elevation map:\n\n```bash\nusage: createdem left_lon top_lat dlon dlat\n                 [-h] [--rate RATE=1] [--output OUTPUT=elevation.dem]\n                 [--data-source {NASA,AWS}]\n```\n\n## Setup and installation\n\n```bash\npip install sardem\n```\nThis creates the command line executable `createdem`\n\nAlternatively, you can clone to build/install:\n\n```bash\ngit clone https://github.com/scottstanie/sardem\ncd sardem\nmake\n```\nwhich will run `pip install --upgrade .` and create the command line script.\n\n\nIf you use `virtualenv`\n```bash\n# Optional for using virtualenv\nvirtualenv ~/envs/sardem && source ~/envs/sardem/bin/activate  # Or wherever you store your virtual envs\n# Or if you have virtualenv wrapper: mkvirtualenv sardem\npip install sardem\n```\n\n\n## Command Line Interface\n\nThe full options for the command line tool in `sardem/cli.py` can be found using\n\n```\n$ createdem --help\nusage: createdem left_lon top_lat dlon dlat\n                 [-h] [--rate RATE=1] [--output OUTPUT=elevation.dem]\n                 [--data-source {NASA,AWS}]\n\n\nStiches SRTM .hgt files to make (upsampled) DEM\n\n    Pick a lat/lon bounding box for a DEM, and it will download\n    the necessary SRTM1 tiles, stitch together, then upsample.\n\n    Usage Examples:\n        createdem -156.0 20.2 1 2 --rate 2  # Makes a box 1 degree wide, 2 deg high\n        createdem -156.0 20.2 0.5 0.5 -r 10 --data-source NASA -o my_elevation.dem\n\n    Default out is elevation.dem for the final upsampled DEM.\n    Also creates elevation.dem.rsc with start lat/lon, stride, and other info.\n\npositional arguments:\n  left_lon              Left (western) most longitude of DEM box (degrees, west=negative)\n  top_lat               Top (northern) most latitude of DEM box (degrees)\n  dlon                  Width of DEM box (degrees)\n  dlat                  Height of DEM box (degrees)\n\noptional arguments:\n  -h, --help            show this help message and exit\n  --rate RATE, -r RATE  Rate at which to upsample DEM (default=1, no upsampling)\n  --output OUTPUT, -o OUTPUT\n                        Name of output dem file (default=elevation.dem)\n  --data-source {NASA,AWS}, -d {NASA,AWS}\n                        Source of SRTM data (default NASA). See README for more.\n\n```\n\nThe code used for bilinear interpolation in the upsampling routine is in `cython/upsample.c`, and is wrapped in [cython](http://docs.cython.org/en/latest/) to allow easier installation and ability to call the function from Python.\nThe installation is handled through `pip install`, or by running `make build`.\n\nFunctions for working with digital elevation maps (DEMs) are mostly contained in the `Downloader` and `Stitcher` classes within `sardem/dem.py`.\n\n\n### NASA SRTM Data access\n\nThe default datasource is NASA's SRTM version 3 global 1 degree data.\nSee https://lpdaac.usgs.gov/dataset_discovery/measures/measures_products_table/srtmgl3s_v003 .\nThe data is valid outside of artic regions (-60 to 60 degrees latitude), and is zeros over open ocean.\n\nThis data requires a username and password from here:\nhttps://urs.earthdata.nasa.gov/users/new\n\nYou will be prompted for a username and password when running with NASA data.\nIt will save into your ~/.netrc file for future use, which means you will not have to enter a username and password any subsequent times.\nThe entry will look like this:\n\n```\nmachine urs.earthdata.nasa.gov\n    login USERNAME\n    password PASSWORD\n```\n\nIf you want to avoid this entirely, you can [use Mapzen's data hosted on AWS](https://registry.opendata.aws/terrain-tiles/) by specifying\n```bash\nsardem 156.0 20.0 .5 0.5 --data-source AWS\n```\n\n`--data-source NASA` is the default.\n\nMapzen combines SRTM data with other sources, so the .hgt files will be slightly different (but often not noticeable)\n\nWarning: Mapzen notes that they are discontinuing some services, which is why NASA is the default.",
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