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Type: | Resource | |
Storage: | The size of this resource is 62.9 MB | |
Created: | Aug 09, 2019 at 11:48 p.m. | |
Last updated: | Sep 10, 2019 at 4:41 a.m. | |
Citation: | See how to cite this resource | |
Content types: | Geographic Raster Content |
Sharing Status: | Public |
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Views: | 2104 |
Downloads: | 122 |
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Abstract
This resource is a repository of the annual subsurface drainage (so-called "Tile Drainage") maps for the Bois de Sioux Watershed (BdSW), Minnesota and the Red River of the North Basin (RRB), separately. The RRB maps cover a 101,500 km2 area in the United States, which overlies portions of North Dakota, South Daokta, and Minnesota. The maps provide annual subsurface drainage system maps for recent four years, 2009, 2011, 2014, and 2017 (In 2017, the subsurface drainage maps including the Sentinel-1 Synthetic Aperture Radar as an additional input are also provided). Please see Cho et al. (2019) in Water Resources Research (WRR) for full details.
Map Metadata (Proj=longlat +datum=WGS84)
Raster value key:
0 = NoData, masked by non-agricultural areas (e.g. urban, water, forest, or wetland land) and high gradient cultivated crop areas (slope > 2%) based on the USGS National Land Cover Dataset (NLCD) and the USGS National Elevation Dataset
1 = Undrained (UD)
2 = Subsurface Drained (SD)
Preferred citation:
Cho, E., Jacobs, J. M., Jia, X., & Kraatz, S. (2019). Identifying Subsurface Drainage using Satellite Big Data and Machine Learning via Google Earth Engine. Water Resources Research, 55. https://doi.org/10.1029/2019WR024892
Corresponding author: Eunsang Cho (ec1072@wildcats.unh.edu)
Subject Keywords
Coverage
Spatial
Temporal
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Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Aeronautics and Space Administration | NASA Water Resources Applied Sciences Program | NNX15AC47G |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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