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.
[](https://travis-ci.org/openearth/hydro-engine)
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”>
Supported functionality:
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/)
History
0.1.0 (2018-08-27)
First release on PyPI.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hydroengine-0.0.30.tar.gz.
File metadata
- Download URL: hydroengine-0.0.30.tar.gz
- Upload date:
- Size: 370.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.10.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7711fccea6bb4a8b7ecf0085a62e3400f8820a98fa61359065b701c6abfcc524
|
|
| MD5 |
5892f9136ee47d2b5cfc1a31dab9e23c
|
|
| BLAKE2b-256 |
cdd6f10efea5e2c547e7c924bd6d4b794f95855ebf1bb0dba1c34b6fa4a34a6a
|
File details
Details for the file hydroengine-0.0.30-py2.py3-none-any.whl.
File metadata
- Download URL: hydroengine-0.0.30-py2.py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.10.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
42531f6eb7526a8ef97a8b78c7766ec0fcbbbc9bb996f63a75116b9a465446bb
|
|
| MD5 |
109de475f561bd1e74f37c201f6af491
|
|
| BLAKE2b-256 |
ed986a5e1eb225296e36d55a388faca897fe90b32f5f436ca81374dd866f6b72
|
](https://travis-ci.org/openearth/hydro-engine){kind=link}
