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Modified Land Cover Raster for the Upper Oconee Watershed

Dates

Publication Date
Time Period
2011
Time Period
2010

Citation

Ignatius, A.R., and Jones, J.W., 2017, Modified Land Cover Raster for the Upper Oconee Watershed: U.S. Geological Survey data release, https://doi.org/10.5066/F78K77K4.

Summary

This dataset shows land cover in the Upper Oconee watershed. The data layer primarily uses the 2011 National Land Cover Database (NLCD) but was manually edited to include 2,219 additional reservoirs. The reservoirs were identified and digitized using 2010 National Aerial Imagery Program (NAIP) imagery.

Contacts

Point of Contact :
John W Jones
Originator :
Amber R Ignatius, John W Jones
Metadata Contact :
John W Jones
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Regional Offices
SDC Data Owner :
Eastern Geographic Science Center

Attached Files

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

Extension: UpperOconee_ModLandCover2011.zip
UpperOconee_ModLandCover2011.tif.lyr 8 KB
UpperOconee_ModLandCover2011.tif-ColorRamp.SLD 2.07 KB
UpperOconee_ModLandCover2011.tif 587.83 KB
UpperOconee_ModLandCover2011.tif.aux.xml 302 Bytes
UpperOconee_ModLandCover2011.tif.ovr thumbnail 267.7 KB

Purpose

Technological improvements in remote sensing and geographic information systems (GIS) have demonstrated the abundance of artificially constructed water bodies across the landscape. While research has shown the ubiquity of small ponds globally, and in the southeastern U.S. in particular, their cumulative impact in terms of evaporative alteration is less well quantified. These data were created as part of a study to examine the hydrologic and evaporative importance of small artificial water bodies in the Upper Oconee Watershed in the northern Georgia Piedmont, USA. Specifically, the USGS National Land Cover Database data for the study area were augmented with additional ponds that were visually interpreted from USDA National Aerial Imaging Program (NAIP) data. Comparative SWAT models were run with and without the inclusion of small reservoir surface area and volume data. That is, with these data as the treatment and standard NLCD data as the control.

Map

Spatial Services

ScienceBase WMS

ScienceBase WCS

Communities

  • Eastern Geographic Science Center

Tags

Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F78K77K4

Raster Extension

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maxX34.32797346905494
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