Command-line interface for Hydro Engine
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.
The command-line Python tool can be installed using the following commands: ` > pip install hydroengine `
Once the package is installed, you can use `hydroengine` command to download input data needed for your hydrological model.
Upstream catchments, rivers and various raster variables can be queried using following commands:
` > hydroengine region.json --get-catchments catchments.json > hydroengine region.json --get-rivers rivers.json > hydroengine region.json --get-raster dem dem.tif 1000 EPSG:4326 > hydroengine region.json --get-lakes lakes.json > hydroengine region.json --get-lake-variable 183160 water_area area.json `
See [examples/run.sh](https://github.com/Deltares/hydro-engine/blob/master/examples/run.sh), showing how different data types can be downloaded.
All 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.
<img src=”https://github.com/Deltares/hydro-engine/blob/master/docs/example_query.png?raw=true” alt=”Example” width=”626” height=”485”>
- Querying upstream catchments as a single or multiple polygons. Source: [HydroBASINS](http://www.hydrosheds.org/page/hydrobasins)
- Querying upstream drainage network as polylines. Source: [HydroSHEDS](http://hydrosheds.org)
- Querying raster variables:
- dem [m] - in meters, source: 30m SRTM v4
- hand [m] - Height Above the Nearest Drainage ([HAND](http://global-hand.appspot.com))
- FirstZoneCapacity [-] - ?
- FirstZoneKsatVer [-] - ?
- FirstZoneMinCapacity [-] - ?
- InfiltCapSoil [-] - ?
- M [-] - ?
- PathFrac [-] - ?
- WaterFrac [-] - ?
- thetaS [-] - ?
- soil_type [-] - soil type, based on ?
- landuse [-] - land use type, based on MODIS 500m
- LAI01…LAI12 - leaf area index monthly climatology, source: [eartH2Observe](http://www.earth2observe.eu/)
- First release on PyPI.
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