Extract Domain Boundaries from Geographical Features and Transform into Specified Projection Systems Using Python
Authors: | |
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Owners: | Irene Garousi-Nejad |
Type: | Resource |
Storage: | The size of this resource is 4.2 MB |
Created: | Sep 27, 2024 at 4:25 p.m. |
Last updated: | Sep 30, 2024 at 8:06 p.m. |
Citation: | See how to cite this resource |
Content types: | Geographic Feature Content |
Sharing Status: | Public |
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Views: | 310 |
Downloads: | 177 |
+1 Votes: | Be the first one to this. |
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Abstract
This resource provides a Jupyter notebook demonstrating how to use GeoPandas and Shapely in Python to extract bounding box information from a shapefile or GeoJSON file. It ensures that the returned values are in a specified projection system, regardless of whether the original file uses a geographic or projected coordinate system. Users can adjust the parameters in the notebook to fit their specific use case. In this example, the parameters are based on the Kings River Watershed in California, with the target projection system being Lambert Conformal Conic, as used in National Water Model versions 1-3.
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The content of this resource can be executed by | Castronova, A. (2024). CIROH JupyterHub, HydroShare, http://www.hydroshare.org/resource/2dd1ac86e8854d4fb9fe5fbafaec2b98 |
The content of this resource references | https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Watershed_Boundary_Dataset_HUC_8s/FeatureServer |
The content of this resource references | https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Watershed_Boundary_Dataset_HUC_10s/FeatureServer |
The content of this resource references | https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Watershed_Boundary_Dataset_HUC_12s/FeatureServer |
The content of this resource can be executed by | Castronova, A. (2024). CUAHSI JupyterHub, HydroShare, http://www.hydroshare.org/resource/33c45575b95f45c4bf7335faab67ed36 |
Title | Owners | Sharing Status | My Permission |
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Use Case Examples for CUAHSI Subsetter Tool | Irene Garousi-Nejad | Public & Shareable | Open Access |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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