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CN Grind Created from Soil and Landuse

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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 103.4 MB
Created:	Apr 30, 2020 at 7:05 a.m.
Last updated:	Apr 30, 2020 at 8:23 p.m.
Citation:	See how to cite this resource
Content types:	Geographic Raster Content

Sharing Status:	Public
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Abstract

This data collection consists of landuse and soil rasters andcn grind for Cyber Training Class week 12 works. Initial codes were provided by the instructor Dr. Venkatesh Merwade.

The landuse raster file is a reclassified National Land Cover Dataset (NLCD) raster. Original landuse raster file contains integer values 11-95 to represent different types of land cover (e.g. 11 represents open water). It was reclassified based on a .csv file that contains original value ranges and new values.

The soil raster was created from Gridded Soil Survey Geographic (gSSURGO) database file. It contains multiple features that represent different soil properties. One field named "HSG_Index" gives information about hydrologic soil group (1-HSG A, 2-HSG B, 3-HSG C, 4-HSG D).

The CN grind is generated based on the landuse raster file, the soil raster file, and a curve number lookup table. The curve number lookup table contains combinations of landuse value and soil HSG_Index value combinations and respective CN value.

All calculations were completed though python codes using Jupyter notebook with Anaconda 5.1 on MyGeoHub.

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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°

Content

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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.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-1923ce58ff53448c976c02a1adec6a83/wms?request=GetCapabilities

Web Coverage Service

https://geoserver.hydroshare.org/geoserver/HS-1923ce58ff53448c976c02a1adec6a83/wcs?request=GetCapabilities

Credits

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name	Organization	Address	Phone	Author Identifiers
Venkatesh Merwade	Purdue University

How to Cite

Wang, L. (2020). CN Grind Created from Soil and Landuse, HydroShare, http://www.hydroshare.org/resource/1923ce58ff53448c976c02a1adec6a83

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

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

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