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| Web URL(s): | https://scisoc.confex.com/scisoc/2016am/webprogram/Paper100607.html
Last checked: 12/01/2016 |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | White, Jeffery G.;
Sullivan, Dana;
Vepraskas, Michael J. |
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| Author Affiliation: | White: North Carolina State University, Raleigh, NC; Sullivan: TurfScout, LLC., Greensboro, NC; Vepraskas: Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC |
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| Title: | Using land-use change, soil characteristics, and a semi-automated on-line GIS database to inventory Carolina Bays |
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| Section: | SSSA division: Wetland soils
Other records with the "SSSA division: Wetland soils" Section
General wetland soils poster I
Other records with the "General wetland soils poster I" Section
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| Meeting Info.: | Phoenix, Arizona: November 6-9, 2016 |
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| Source: | ASA, CSSA and SSSA International Annual Meetings. 2016, p. 100607. |
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| Publishing Information: | [Milwaukee, Wisconsin]: [American Society of Agronomy and the Entomological Society of America] |
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| # of Pages: | 1 |
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| Related Web URL: | https://scisoc.confex.com/scisoc/2016am/webprogram/Handout/Paper100607/WhiteJG%20NCSU%20Carolina%20Bays%202016.pdf
Last checked: 07/20/2018
Requires: PDF Reader
Notes: Direct download; Poster presentation |
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| Keywords: | TIC Keywords: Baseline information; GIS; Land use; Soil properties; Wetland conservation; Wetlands
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| Geographic Terms: | Carolina Bay |
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| Abstract/Contents: | "Carolina Bay wetlands are common in the southeastern US Coastal Plain and important to water quality, carbon sequestration, and habitat. Only South Carolina and Georgia have statewide inventories. We developed and evaluated a novel way to identify and delineate Bays using Bay-dense Bladen County, NC as a testbed. We posited that Bay land use had changed in the past 40 years. We classed decadal Landsat images as forest, agriculture, urban, and water. We used 812 previously delineated Bays to identify common Bay soils. From areas with both common Bay soils and land-use change, we delineated 548 new Bays using a semi-automated on-line digitization tool. We saved new Bays to a Google Fusion Table for download and integration within a geographic information system. To gauge accuracy, Bays were scored on soils, land-use change, wetland delineation, and landscape position. We assessed errors of omission and commission and estimated an overall accuracy of 74 to 86%. Errors included omission of some small Bays (3.3-14.6% of total Bay area digitized) and commission of misclassified Bays (11% of 1,360 Bays). With 1,360 delineated Bladen-County Bays, we estimated that as many as 478 have not yet been identified. Unclassified Bays are most likely small, <5.76 ha." |
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| Language: | English |
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| References: | 0 |
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| Note: | "474-134"
This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
White, J. G., D. Sullivan, and M. J. Vepraskas. 2016. Using land-use change, soil characteristics, and a semi-automated on-line GIS database to inventory Carolina Bays. Agron. Abr. p. 100607. |
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Last checked: 12/01/2016 |
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