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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, hy...

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Autores principales: Valayamkunnath, Prasanth, Barlage, Michael, Chen, Fei, Gochis, David J., Franz, Kristie J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406500/
https://www.ncbi.nlm.nih.gov/pubmed/32759944
http://dx.doi.org/10.1038/s41597-020-00596-x
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author Valayamkunnath, Prasanth
Barlage, Michael
Chen, Fei
Gochis, David J.
Franz, Kristie J.
author_facet Valayamkunnath, Prasanth
Barlage, Michael
Chen, Fei
Gochis, David J.
Franz, Kristie J.
author_sort Valayamkunnath, Prasanth
collection PubMed
description 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.
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spelling pubmed-74065002020-08-13 Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach Valayamkunnath, Prasanth Barlage, Michael Chen, Fei Gochis, David J. Franz, Kristie J. Sci Data Data Descriptor 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. Nature Publishing Group UK 2020-08-05 /pmc/articles/PMC7406500/ /pubmed/32759944 http://dx.doi.org/10.1038/s41597-020-00596-x Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Valayamkunnath, Prasanth
Barlage, Michael
Chen, Fei
Gochis, David J.
Franz, Kristie J.
Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
title Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
title_full Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
title_fullStr Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
title_full_unstemmed Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
title_short Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
title_sort mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406500/
https://www.ncbi.nlm.nih.gov/pubmed/32759944
http://dx.doi.org/10.1038/s41597-020-00596-x
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