Creating Curve Number Grid using PyQGIS through Jupyter Notebook in mygeohub
| Authors: | |
|---|---|
| Owners: | Shizhang Wang |
| Type: | Resource |
| Storage: | The size of this resource is 105.5 MB |
| Created: | Apr 27, 2020 at 10:49 p.m. |
| Last updated: | Apr 28, 2020 at 12:55 a.m. (Metadata update) |
| Published date: | Apr 28, 2020 at 12:55 a.m. |
| DOI: | 10.4211/hs.abf67aad0eb64a53bf787d369afdcc84 |
| Citation: | See how to cite this resource |
| Content types: | Geographic Raster Content |
| Sharing Status: | Published |
|---|---|
| Views: | 1733 |
| Downloads: | 409 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
This resource serves as a template for creating a curve number grid raster file which could be used to create corresponding maps or for further utilization, soil data and reclassified land-use raster files are created along the process, user has to provided or connect to a set of shape-files including boundary of watershed, soil data and land-use containing this watershed, land-use reclassification and curve number look up table. Script contained in this resource mainly uses PyQGIS through Jupyter Notebook for majority of the processing with a touch of Pandas for data manipulation. Detailed description of procedure are commented in the script.
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
31.7641°
East Longitude
-83.1234°
South Latitude
30.7320°
West Longitude
-83.9046°
Leaflet Map data © OpenStreetMap contributors
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
readme.txt
Description: This folder contains a script/template used to create the curve number (CN) grid raster file, final CN grid raster, soil data and reclassified land-use raster generated along the way, and three example maps created from the raster files. ######################################## Folder content description: Raster_files - final output raster of curve number grid and intermediate output of soil data and landuse reclassification. Maps - example png files of maps created from above raster files with ArcMap. ######################################## Notes for script 1. The initialization of the PyQGIS should be run only once each session or else it would crash. 2. Boundary, soil data shapefile and land-use raster file in the example are provided by connection to a public folder containing them, user can upload and connect to said files, additional CN look up and landuse reclassification table are also required. 3. A coordinate reference system check is needed to ensure all shapefile and raster file are in the same reference system. These are some important prerequisitions and things to look out for, More detailed guide on how to run the script is included in the comments.
Data Services
The following web services are available for data contained in this resource. Geospatial Feature and Raster
data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted
into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server
using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to
support additional data types.
How to Cite
Dey, S., S. Wang, V. Merwade (2020). Creating Curve Number Grid using PyQGIS through Jupyter Notebook in mygeohub, HydroShare, https://doi.org/10.4211/hs.abf67aad0eb64a53bf787d369afdcc84
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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