Skip to main content
  1. ScienceBase Catalog
  2. Ohio-Kentucky-Indiana Water Science Center
  3. Meteorological data from edge-of-field sites in Michigan and Wisconsin, 2015-18

Meteorological data from edge-of-field sites in Michigan and Wisconsin, 2015-18

Dates

Publication Date
Start Date
2015-07-18
End Date
2018-09-21

Citation

Williamson, T.N., Danz, M.E., Ennis, R.P., Mahanic, S.A., Rachol, C.M., Toussant, C.A., and Komiskey, M.J., 2023, Meteorological data from edge-of-field sites in Michigan and Wisconsin, 2015--18: U.S. Geological Survey data release, https://doi.org/10.5066/P96MLCJD.

Summary

These data describe daily mean air temperature, soil temperature, soil-water (moisture) content, and solar radiation at two edge-of-field sites monitored as part of the Great Lakes Restoration Initiative. These data were used to catalog the general range of conditions at each site in order to provide context for when sub-surface agricultural drainage (tile drains) is visible in remote-sensing imagery available from DigitalGlobe and Google Earth.

Contacts

Point of Contact :
Tanja N Williamson
Originator :
Tanja N Williamson, Mari E Danz, Ryan P Ennis, Sarah A Mahanic, Cynthia M Rachol, Chad A Toussant, Matthew J Komiskey
Metadata Contact :
Tanja N Williamson
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Ohio-Kentucky-Indiana Water Science Center
USGS Mission Area :
Water Resources

Attached Files

Click on title to download individual files attached to this item.

eof_met_2023jun1.xml
Original FGDC Metadata
View 		18.6 KB application/fgdc+xml
all_MI.txt 55.41 KB text/plain
all_WI.txt 52.44 KB text/plain
imageryDates_visibility.txt 1.67 KB text/plain

Purpose

Meteorological data were collected in order to improve monitoring and sampling of surface and tile-drain discharge. These data help describe site conditions, but sensors were not checked after installation, so data are considered provisional. This release documents those data used for development of a machine-learning method to delineate the surface-representation of sub-surface agricultural drainage (Redoloza and others, in revision). Satellite images used are included in Williamson and Hoefling (2023).

Map

Map Preview

Communities

  • Ohio-Kentucky-Indiana Water Science Center
  • USGS Data Release Products

Tags

Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P96MLCJD

Item Actions

View Item as ...

JSON ATOM ISO XML

Save Item as ...

JSON FGDC MODS XML ISO XML

View Item...

Metrics