Data from: Automated Detection of On-Farm Irrigation Reservoirs: A Necessary Precursor for Conjunctive Water Management in Two Critical Groundwater Regions of Arkansas
The Inventory from Model (White)Model Reservoirs (Red)Mary and Co's reservoirs (Blue)NHD water (Orange)CDL water (Yellow)The Inventory from Model map (1) represents all the water found within the three areas identified the 2023 project; (2) is where the model indicates a reservoir based on the elevation difference based on the Yeager et al. (2017) reservoirs; (3) is based on the Yeager et al. (2017) reservoir boundaries which were plugged into the fifth step of the model (the water identification steps were skipped). Then the model was used to evaluate and classify them into elevation classes. NHD Water map (4) is every waterbody polygon from the National Hydrography Dataset that falls within the three study area areas. The CDL Water map (5) is every open water and aquaculture polygon vectorized from the Cropland Data Layer raster within the three study areas.This Data is a zipped, ArcGIS Pro (V3.1.2) project. The project geodatabase contains the model. In this project there are five maps representing different datasets.NOTE (2024-05-13): ISO xml metadata files added to the root of the zipped folder, describing specific items in the project, saved in ArcGIS Pro V.3.2.2.
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Geodata ISO 19139 metadata
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Modeling_updated_Metadata_5_13_2024.zip
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "005:18" ] |
| contactPoint |
{ "fn": "Nowlin, John W.", "hasEmail": "mailto:jnowlin@astate.edu" } |
| description | <ol><li>The Inventory from Model (White)</li><li>Model Reservoirs (Red)</li><li>Mary and Co's reservoirs (Blue)</li><li>NHD water (Orange)</li><li>CDL water (Yellow)<br><br>The Inventory from Model map (1) represents all the water found within the three areas identified the 2023 project; (2) is where the model indicates a reservoir based on the elevation difference based on the Yeager et al. (2017) reservoirs; (3) is based on the Yeager et al. (2017) reservoir boundaries which were plugged into the fifth step of the model (the water identification steps were skipped). Then the model was used to evaluate and classify them into elevation classes. NHD Water map (4) is every waterbody polygon from the National Hydrography Dataset that falls within the three study area areas. The CDL Water map (5) is every open water and aquaculture polygon vectorized from the Cropland Data Layer raster within the three study areas.</li></ol><p dir="ltr">This Data is a zipped, ArcGIS Pro (V3.1.2) project. The project geodatabase contains the model. In this project there are five maps representing different datasets.</p><p dir="ltr">NOTE (2024-05-13): ISO xml metadata files added to the root of the zipped folder, describing specific items in the project, saved in ArcGIS Pro V.3.2.2.</p> |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Geodata ISO 19139 metadata", "format": "xml", "accessURL": "https://geodata.nal.usda.gov/geonetwork/srv/api/records/3b5bf181-2449-46c5-917c-292d1dc6b100/formatters/xml", "mediaType": "text/xml", "conformsTo": "https://www.isotc211.org/2005/gmd" }, { "@type": "dcat:Distribution", "title": "Modeling_updated_Metadata_5_13_2024.zip", "format": "zip", "mediaType": "application/zip", "downloadURL": "https://ndownloader.figshare.com/files/46309375" } ] |
| identifier | 10.15482/USDA.ADC/24851661.v2 |
| keyword |
[ "elevation", "irrigation reservoir", "reservoir detection" ] |
| license | https://www.usa.gov/publicdomain/label/1.0/ |
| modified | 2025-11-21 |
| programCode |
[ "005:040" ] |
| publisher |
{ "name": "Agricultural Research Service", "@type": "org:Organization" } |
| spatial |
"{"type": "Polygon", "coordinates": [[[-92.38952527754, 34.66620545269], [-92.243041126058, 34.678252710635], [-92.202757699415, 34.53055417488], [-92.133177844808, 34.355388499181], [-92.118529295549, 34.176825984086], [-92.067259876058, 34.043414402199], [-91.851195199415, 33.997885084175], [-91.668089507148, 34.098017334845], [-91.506957141683, 33.991812756117], [-91.305540679023, 33.931064499906], [-91.144408313558, 33.80943849458], [-91.030882475898, 33.973592890152], [-90.814818469808, 34.167736419112], [-90.613402007148, 34.467174472707], [-90.855102650821, 34.893440552429], [-90.973205678165, 35.2829953554], [-90.94482421875, 35.356202887127], [-90.921936091036, 35.474837212373], [-90.888976939023, 35.591063279264], [-90.794677846134, 35.730163510714], [-90.871581975371, 35.811131416438], [-90.761718694121, 36.020965690048], [-90.682983454317, 36.12604372262], [-90.562133677304, 36.366747502391], [-90.532835824415, 36.500667462497], [-91.023558704183, 36.494779755767], [-91.220397516154, 36.108224711352], [-91.396178766154, 35.758330555768], [-91.383361159824, 35.588759952046], [-91.715697376058, 35.3381408237], [-92.03796277754, 35.026857065014], [-92.265013782308, 34.861754800257], [-92.38952527754, 34.66620545269]]]}"
|
| temporal | 2015-07-31/2015-07-31 |
| theme |
[ "geospatial" ] |
| title | Data from: Automated Detection of On-Farm Irrigation Reservoirs: A Necessary Precursor for Conjunctive Water Management in Two Critical Groundwater Regions of Arkansas |
