David James, USDA, Agricultural Research Service, National Laboratory of Agriculture and the Environment 20140101 ACPF Field Boundary Dataset 1 vector digital data withheld This field boundaries dataset has been assembled to support field-scale agricultural conservation planning in the states of Iowa, Illinois, and Minnesota. The original data used to create this database are the pre-2008 Farm Bill FSA common land unit (CLU) datasets for the three individual states. A portion of metadata found herein pertains to the USDA FSA CLU. The remaining information has been developed to reflect the repurposing of the data in its aggregated form. It is important to note that all USDA programmatic and ownership information that was associated with the original data have been removed. Beyond that, these data has been extensively edited to reflect crop-specific land use consistent with 2009 land cover as derived from 2009 NASS Crop Data Layer datasets and 2009 aerial photography, and no longer reflects discrete ownership patterns.FSA: The common land unit (CLU) dataset consists of digitized farm tract and field boundaries and associated attribute data. The USDA Farm Service Agency (FSA) defines farm fields as agricultural land that is delineated by natural and man-made boundaries such as road ways, tree lines, waterways, fence lines, etc. Field boundaries are visible features that can be identified and delineated on aerial photography and digital imagery. Farm tracts are defined by FSA as sets of contiguous fields under single ownership. Common land units are used to administer USDA farm commodity support and conservation programs in a GIS environment. The CLU data set was prepared by digitizing farm tracts and fields using 1:7920 scale rectified photomaps that have been maintained by FSA in USDA Field Service Centers. Using the photomaps as reference tract and field boundaries were digitized on-screen with digital orthophotography using ESRIs (Environmental Systems Research Institute) ArcView GIS Product. Each of the boundaries of the CLU are digitized to a tolerance of 3 meters (approximately 10 feet) from ground features visible on the digital orthophotograph. The base ortho imagery was produced by mosaicking digital orthophoto quarter quads (DOQs) into a seamless county image. The CLU were digitized from an image base of digital ortho quadrangles mosaiked together creating a seamless image base. The moasaicking process eliminates or minimizes any offset that would normally be present between standard USGS quarter quadrangles. CLU datasets are projected in the UTM coordinate system, NAD 83. Improving the quality of water discharged from agricultural watersheds requires comprehensive and adaptive approaches for planning and implementing conservation practices. These measures will need to consider landscape hydrology, distributions of soil types, land cover, and crop distributions in an integrated manner. The two most consistent challenges to these efforts will be consistency and reliability of data, and the capacity to translate conservation planning from watershed to farm and field scales. The translation of scale is required because, while conservation practices can be planned based on a watershed scale framework, they must be implemented by landowners in specific fields and riparian sites that are under private ownership. To support these goals, it has been necessary to develop planning approaches, high-resolution spatial datasets, and conservation practice assessment tools that will allow the agricultural and conservation communities to characterize and mitigate these challenges. The field boundary dataset represents a spatial framework for assembling and maintaining geospatial data to support conservation planning at the scale where conservation practices are implemented. Complete None planned -91.765934 -91.577703 43.042004 42.931001 None Iowa IA None Illinois IL None Minnesota MN None 2009 Aerial photography 2009 NASS Crop Data Layer boundaries farming geoscientificInformation conservation planning USA USDA Digitizing United States Department of Agriculture (USDA) Farming Field Boundaries None In no event shall the creators, custodians, or distributors of this information be liable for any damages arising out of its use ( or the inability to use it). USDA, Agricultural Research Service, National Laboratory of Agriculture and the Environment David James mailing
2110 University Blvd.
Ames Iowa 50011 US (515) 294-6858 david.james@ars.usda.gov Esri ArcGIS 10.1.1.3143 Vector Simple FALSE 0 FALSE FALSE coordinate pair 0.000000002220024164500956 0.000000002220024164500956 meter D North American 1983 GRS 1980 6378137.0 298.257222101 FB data File geodatabase feature class of field boundaries for individual HUC12 watersheds Author Feature Class 0 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. isAG Designation of agricutlural and non-agricultural land use Author 0 non-agricultural land Originator 1 agricultural land, excluding pasture (P) class Originator 2 Pasture|Grass|Hay Originator isAG Integer 5 5 0 Shape Feature geometry. ESRI Shape Geometry 0 0 0 Coordinates defining the features. Coordinates ESRI Coordinates defining the features. Shape_Area Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. Shape_Area Double 19 0 0 CropRotatn CropRotatn String 254 0 0 FBndID A unique field identifier constructed by concatenating the HUC12 identification code and a sequential number. Author FBndID String 254 0 0 A unique field identifier constructed by concatenating the HUC12 identification code and a sequential number. N_Annual_C N_Annual_C Integer 10 10 0 Shape_Leng Shape_Leng Double 19 0 0 Acres field size in acres calculated Acres Single 13 0 0 Calculated values USDA, Agricultural Research Service, National Laboratory of Agriculture and the Environment David James mailing
2110 University Blvd.
Ames Iowa 50011 US (515) 294-6858 david.james@ars.usda.gov In no event shall the creators, custodians, or distributors of this information be liable for any damages arising out of its use ( or the inability to use it). 20140107 USDA, Agricultural Research Service, National Laboratory of Agriculture and the Environment David James mailing
2110 University Blvd.
Ames Iowa 50011 US (515) 294-6858 david.james@ars.usda.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time None Unclassified None 20220701 16431100 1.0 20220728 09244400 NAP 500000 5000 FGDC CSDGM Metadata FALSE flds 002 -56253.742200 -43006.013700 2515912.979200 2531084.223400 1 0.000 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_15N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_15N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-93.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26915]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26915</WKID><LatestWKID>26915</LatestWKID></ProjectedCoordinateSystem> 20220728 09244400 ArcGIS Metadata 1.0 withheld 0.000 Shapefile 10.8.1 external cffc1cfbe51acd03247503d7ecba783e ACPF Support ACPF National Hub Database Manager 613 Morrill Rd, 218 Durham Center Ames Iowa 50011 acpfsupport@iastate.edu US True ACPF Support ACPF Field Boundary Dataset 2020-04-01T00:00:00 1 vector digital data external cffc1cfbe51acd03247503d7ecba783e ACPF Support ACPF National Hub Database Manager 613 Morrill Rd, 218 Durham Center Ames Iowa 50011 acpfsupport@iastate.edu US True ACPF Support <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This field boundaries dataset has been assembled to support field-scale agricultural conservation planning using the USDA/ARS Agricultural Conservation Planning Framework (ACPF). The original data used to create this database are the Farm Service Agency's (FSA) pre-2008 Farm Bill Common Land Unit (CLU) datasets. A portion of metadata found herein pertains to the USDA FSA CLU. The remaining information has been developed to reflect the repurposing of the data in its aggregated form. It is important to note that all USDA programmatic and ownership information that was associated with the original data have been removed and has not been retained or archived by the ARS. Beyond that, these data has been extensively edited to reflect crop-specific land use consistent with land cover as derived from NASS Crop Data Layer datasets and aerial photography, and no longer reflects discrete ownership patterns.</SPAN></P><P><SPAN>FSA: The common land unit (CLU) dataset consists of digitized farm tract and field boundaries and associated attribute data. The USDA Farm Service Agency (FSA) defines farm fields as agricultural land that is delineated by natural and man-made boundaries such as road ways, tree lines, waterways, fence lines, etc. Field boundaries are visible features that can be identified and delineated on aerial photography and digital imagery. Farm tracts are defined by FSA as sets of contiguous fields under single ownership. Common land units are used to administer USDA farm commodity support and conservation programs in a GIS environment. The CLU data set was prepared by digitizing farm tracts and fields using 1:7920 scale rectified photomaps that have been maintained by FSA in USDA Field Service Centers. Using the photomaps as reference tract and field boundaries were digitized on-screen with digital orthophotography using ESRIs (Environmental Systems Research Institute) ArcView GIS Product. Each of the boundaries of the CLU are digitized to a tolerance of 3 meters (approximately 10 feet) from ground features visible on the digital orthophotograph. The base ortho imagery was produced by mosaicking digital orthophoto quarter quads (DOQs) into a seamless county image. The CLU were digitized from an image base of digital ortho quadrangles mosaiced together creating a seamless image base. The moasaicing process eliminates or minimizes any offset that would normally be present between standard USGS quarter quadrangles. CLU datasets are projected in the UTM coordinate system, NAD 83.</SPAN></P></DIV></DIV></DIV> Improving the quality of water discharged from agricultural watersheds requires comprehensive and adaptive approaches for planning and implementing conservation practices. These measures will need to consider landscape hydrology, distributions of soil types, land cover, and crop distributions in an integrated manner. The two most consistent challenges to these efforts will be consistency and reliability of data, and the capacity to translate conservation planning from watershed to farm and field scales. The translation of scale is required because, while conservation practices can be planned based on a watershed scale framework, they must be implemented by landowners in specific fields and riparian sites that are under private ownership. To support these goals, it has been necessary to develop planning approaches, high-resolution spatial datasets, and conservation practice assessment tools that will allow the agricultural and conservation communities to characterize and mitigate these challenges. The field boundary dataset represents a spatial framework for assembling and maintaining geospatial data to support conservation planning at the scale where conservation practices are implemented. external cffc1cfbe51acd03247503d7ecba783e ACPF Support ACPF National Hub Database Manager 613 Morrill Rd, 218 Durham Center Ames Iowa 50011 acpfsupport@iastate.edu US True ACPF Support USA United States Department of Agriculture (USDA) geoscientificInformation farming boundaries field boundaries farming conservation planning high island creekwater parcel In no event shall the creators, custodians, or distributors of this information be liable for any damages arising out of its use ( or the inability to use it). <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The ACPF National Hub makes no representation nor extends any warranties of any kind, either express or implied, of merchantability or fitness of the information obtained using the ACPF toolbox or data for any particular purpose, or that use of the ACPF toolbox or data will not infringe any patent, copyright, trademark, or other intellectual property rights, or any other express or implied warranties. In no event shall the creators, custodians, or distributors of this information be liable for any damages arising out of its use (or the inability to use it). </SPAN></P></DIV></DIV></DIV> Esri ArcGIS 10.1.1.3143 1 Individual US HUC12 watersheds United States external cffc1cfbe51acd03247503d7ecba783e ACPF Support ACPF National Hub Database Manager 613 Morrill Rd, 218 Durham Center Ames Iowa 50011 acpfsupport@iastate.edu US True ACPF Support 1 -96.722625 -96.551321 45.766718 45.629347 None None 0 dataset external cffc1cfbe51acd03247503d7ecba783e ACPF Support ACPF National Hub Database Manager 613 Morrill Rd, 218 Durham Center Ames Iowa 50011 acpfsupport@iastate.edu US True ACPF Support Yes EPSG 6.11(3.0.1) 20220728 ACPF Support ACPF National Hub Database Manager 613 Morrill Rd, 218 Durham Center Ames Iowa 50011 acpfsupport@iastate.edu US