Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach

Tile drainage is one of the dominant agricultural management practices in the United States and has greatly expanded since the late 1990s. It has proven effects on land surface water balance and quantity and quality of streamflow at the local scale. The effect of tile drainage on crop production, hydrology, and the environment on a regional scale is elusive due to lack of high-resolution, spatially-explicit tile drainage area information for the Contiguous United States (CONUS). We developed a 30-m resolution tile drainage map of the most-likely tile-drained area of the CONUS (AgTile-US) from county-level tile drainage census using a geospatial model that uses soil drainage information and topographic slope as inputs. Validation of AgTile-US with 16000 ground truth points indicated 86.03% accuracy at the CONUS-scale. Over the heavily tile-drained midwestern regions of the U.S., the accuracy ranges from 82.7% to 93.6%. These data can be used to study and model the hydrologic and water quality responses of tile drainage and to enhance streamflow forecasting in tile drainage dominant regions.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Dataset #1 : Estimates of Subsurface Tile Drainage Extent for 12 Midwest States, 2012

Related Dataset #2 : AgTile-US

Related Dataset #3 : Estimates of Subsurface Tile Drainage Extent for the Conterminous United States, early 1990s

Related Dataset #4 : Shuttle Radar Topography Mission (SRTM) Void Filled

Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor N/A
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author Valayamkunnath, Prasanth
Barlage, Michael
Chen, Fei
Gochis, David J.
Franz, Kristie J.
Publisher UCAR/NCAR - Library
Publication Date 2020-12-05T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T18:30:41.201236
Metadata Record Identifier edu.ucar.opensky::articles:23661
Metadata Language eng; USA
Suggested Citation Valayamkunnath, Prasanth, Barlage, Michael, Chen, Fei, Gochis, David J., Franz, Kristie J.. (2020). Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d78s4t57. Accessed 26 June 2025.

Harvest Source