Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783567436272893952 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7406500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT valayamkunnathprasanth mappingof30meterresolutiontiledrainedcroplandsusingageospatialmodelingapproach AT barlagemichael mappingof30meterresolutiontiledrainedcroplandsusingageospatialmodelingapproach AT chenfei mappingof30meterresolutiontiledrainedcroplandsusingageospatialmodelingapproach AT gochisdavidj mappingof30meterresolutiontiledrainedcroplandsusingageospatialmodelingapproach AT franzkristiej mappingof30meterresolutiontiledrainedcroplandsusingageospatialmodelingapproach |