Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.

(HS 17) Automate Workflows using Jupyter notebook to create Large Spatial Sample Datasets

Authors:
Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 2.4 MB
Created:	May 13, 2021 at 10:38 p.m.
Last updated:	May 21, 2021 at 8:10 a.m.
Citation:	See how to cite this resource

Sharing Status:	Public
Views:	918
Downloads:	22
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

For the automated workflows, we create Jupyter notebooks for each state. In these workflows, GIS processing to merge, extract and project GeoTIFF data was the most important process. For this process, we used ArcPy which is a python package to perform geographic data analysis, data conversion, and data management in ArcGIS (Toms, 2015). After creating state-scale LSS datasets in GeoTIFF format, we convert GeoTIFF to NetCDF using xarray and rioxarray Python packages. Xarray is a Python package to work with multi-dimensional arrays and rioxarray is rasterio xarray extension. Rasterio is a Python library to read and write GeoTIFF and other raster formats. We used xarray to manipulate data type and add metadata in NetCDF file and rioxarray to save GeoTIFF to NetCDF format. Through these procedures, we created three composite HyddroShare resources to share state-scale LSS datasets.
Due to the limitation of ArcGIS Pro license which is a commercial GIS software, we developed this Jupyter notebook on Windows OS.

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Content

Learn more about the BagIt download

Select a file to see file type metadata.

Related Resources

This resource belongs to the following collections:

Title	Owners	Sharing Status	My Permission
(HS 1) Creating and Sharing Interoperable and Reusable Large Spatial Sample Datasets Online for Open and Reproducible Seamless Hydrological Modeling: RHESSys Use Case	Iman Maghami · Linnea Saby · Zhiyu/Drew Li · Young-Don Choi	Public & Shareable	Open Access

How to Cite

Choi, Y. (2021). (HS 17) Automate Workflows using Jupyter notebook to create Large Spatial Sample Datasets, HydroShare, http://www.hydroshare.org/resource/a52df87347ef47c388d9633925cde9ad

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

Comments

There are currently no comments