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Annual Aquaculture and Irrigation Water-Use Estimates by Use for the Mississippi Alluvial Plain, 1999-2017

Metadata Updated: July 6, 2024

These annual water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain. This dataset contains 114 annual water-use rasters for 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/8d5534d52093a5962cc7f81724d17d15
Identifier USGS:602700c9d34eb12031139647
Data Last Modified 20210402
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 75837b60-fd7a-4afc-b580-34e06c6bdfb1
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -94.1146,31.1925,-86.7537,37.465
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash d598c960ccb26e35b6bd182d3dcb7ca2aa59890d5ab51d54385f8d8edd367eeb
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -94.1146, 31.1925, -94.1146, 37.465, -86.7537, 37.465, -86.7537, 31.1925, -94.1146, 31.1925}

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