Rivers of India shape files

[Vaidya]

Hello,

Has anyone got the shapefiles for IndaWris river basins map?
https://indiawris.gov.in/wris/#/riverBasins 
More than the basins, trying to find the map of rivers themselves.

Thanks,
Vaidya

[sreeram kandimalla]

I have found the pyesridump python package quite useful for scraping arcgis servers.  

In this particular case, when opening the url https://indiawris.gov.in/wris/#/riverBasins  in a browser, one can observe that the arcgis rest services endpoint is https://arc.indiawris.gov.in/server/rest/services by looking at the network calls being made by the webpage.

This URL can be directly used in the browser to locate the individual layers available on the server.. In this case the rivers layer was found at https://arc.indiawris.gov.in/server/rest/services/Common/River_WRP/MapServer/1 

On a machine with python and pip installed, you can run the following commands to get the rivers data

One time installation of esridump:

pip install esridump

Retrieval of the Rivers Layer:

esri2geojson -m 100 --jsonlines https://arc.indiawris.gov.in/server/rest/services/Common/River_WRP/MapServer/1 rivers.geojsonl

The timeouts, batch size ( -m ) command line arguments can be adjusted if the default settings fail. 

The layer is retrieved here into the geojsonl file rivers.geojsonl. 

Other layers can be similarly retrieved. 

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[Mohan zade]

Hi,

You can find the map under Publication for each basin. Please check
the link and go to publication tab. you can download the report for
each basin
https://indiawris.gov.in/wris/#/Basin

Mohan R.

On Fri, Dec 2, 2022 at 10:44 AM Vaidya <vaidyan...@gmail.com> wrote:
>

[Vaibhav Chhipa]

Hi Vaidya,

Hydrosheds database, primarily from WWF - World Wildlife Fund is available at the following link - https://www.hydrosheds.org/products/gloric

Here, you can find the vector files of all the rivers in the world.

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[sashik...@gmail.com]

Hi Vaidya,

If you are  fine to use Google Earth Engine, please check the following catalog links https://developers.google.com/earth-engine/datasets/tags/hydrosheds

with regards

Sashi

[Nikhil VJ]

Hi Vaibhav,

That hydrosheds.org site has some pretty nice data! Thanks for sharing!

Data from https://www.hydrosheds.org/ downloaded, filtered for India (roughly, lot of neighboring regions included in the rectangle) and published as vector tiles that can be imported in QGIS, OSM iD editor etc:

Lakes polygons:
vector tile layer: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroLAKES_polys_v10_India/{z}/{x}/{y}.pbf
preview: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroLAKES_polys_v10_India/#5.17/19.971/74.424

Lake pour points: (I'm not really sure what this is but may be useful)
vector tile layer: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroLAKES_points_v10_India/{z}/{x}/{y}.pbf
preview: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroLAKES_points_v10_India/#10.3/10.0524/78.8019

Rivers:
vector tile layer: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroRIVERS_v10_India/{z}/{x}/{y}.pbf
preview: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroRIVERS_v10_India/#7.35/21.079/72.904

Basins Level 8:
vector tile layer: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroBASINS_lev08_India/{z}/{x}/{y}.pbf
preview: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroBASINS_lev08_India/#5.49/19.365/75.282

Basins Level 12:
vector tile layer: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroBASINS_lev12_India/{z}/{x}/{y}.pbf
preview: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-HydroBASINS_lev12_India/#6.96/20.54/73.371

GloRiC river classification:
vector tile layer: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-GloRiC_v10_India/{z}/{x}/{y}.pbf
preview: https://server.nikhilvj.co.in/tileserver/data/hydrosheds.org-GloRiC_v10_India/#8/21.088/72.371

Please see the respective sections on https://www.hydrosheds.org/ for understanding about the attributes in the data.
I'm not getting into that; just wanted to make the data accessible for people as the huge datasets will probably not open on budget laptops.

Commands for converting the data and publishing as vector tiles shared here: https://gist.github.com/answerquest/72e26f11d3da1069cbb02032633a71df

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Cheers,
Nikhil VJ
https://nikhilvj.co.in

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[Vaidya]

This is awesome! Will check these out. Thanks!

-Vaidya

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[Gaurav Meena]

https://www.diva-gis.org/gdata

just found above. Not sure about authenticity or quality comparison with other dataset.

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