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        "author": "Gennadii Donchyts",
        "author_email": "gennadiy.donchyts@gmail.com",
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        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "**Hydro Engine** is a small service and a command-line tool built on top of [Google Earth Engine](http://earthengine.google.com) that allows querying various hydrological variables, useful as an input for hydrological models.\n\n[![Build Status](https://travis-ci.org/openearth/hydro-engine.svg?branch=master)](https://travis-ci.org/openearth/hydro-engine)\n\nThe command-line Python tool can be installed using the following commands:\n```\n> pip install hydroengine\n```\n\nOnce the package is installed, you can use ```hydroengine``` command to download input data needed for your hydrological model.\n\nUpstream catchments, rivers and various raster variables can be queried using following commands:\n\n```\n> hydroengine region.json --get-catchments catchments.json\n> hydroengine region.json --get-rivers rivers.json\n> hydroengine region.json --get-raster dem dem.tif 1000 EPSG:4326\n> hydroengine region.json --get-lakes lakes.json\n> hydroengine region.json --get-lake-variable 183160 water_area area.json\n```\n\nSee [examples/run.sh](https://github.com/Deltares/hydro-engine/blob/master/examples/run.sh), showing how different data types can be downloaded.\n\nAll data types can be queried for an input area or location (GeoJSON polygon geometry). A polygon may define a flood location. For example, in the figure below, a single point near Houston is used to query upstream catchments and a drainage network, providing runoff water for that location.\n\n<img src=\"https://github.com/Deltares/hydro-engine/blob/master/docs/example_query.png?raw=true\" alt=\"Example\" width=\"626\" height=\"485\">\n\nSupported functionality:\n\n* Querying upstream catchments as a single or multiple polygons. Source: [HydroBASINS](http://www.hydrosheds.org/page/hydrobasins)\n* Querying upstream drainage network as polylines. Source: [HydroSHEDS](http://hydrosheds.org)\n* Querying raster variables:\n   * dem [m] - in meters, source: 30m SRTM v4\n   * hand [m] - Height Above the Nearest Drainage ([HAND](http://global-hand.appspot.com))\n   * FirstZoneCapacity [-] - ?\n   * FirstZoneKsatVer [-] - ?\n   * FirstZoneMinCapacity [-] - ?\n   * InfiltCapSoil [-] - ?\n   * M [-] - ?\n   * PathFrac [-] - ?\n   * WaterFrac [-] - ?\n   * thetaS [-] - ?\n   * soil_type [-] - soil type, based on ?\n   * landuse [-] - land use type, based on MODIS 500m\n   * LAI01...LAI12 - leaf area index monthly climatology, source: [eartH2Observe](http://www.earth2observe.eu/)\n\n\n\n=======\nHistory\n=======\n\n0.1.0 (2018-08-27)\n------------------\n\n* First release on PyPI.\n\n\n",
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        "license": "MIT license",
        "maintainer": "",
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        "name": "hydroengine",
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