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                  <gco:CharacterString>Entity and Attribute Overview: In general, three data sets were used to evaluate potential for wetland restoration. First, land cover was narrowed to agricultural and pasture lands. Second, soil types were narrowed down to poorly and very poorly drained soils. Third, a wetness index was used to further indicate areas considered likely wet enough to support wetlands. The following datasets were used: National Land Cover Database (NLCD) from the Multi-Resolution Land Characteristics Consortium (MRLC), (2006); CTI (produced for the EPA by Tetra Tech, Inc. 2012); Soil Survey Geographic (SSURGO) Database &amp; State Soil Geographic (STATSGO) Database (USGS, 2009+); and 12-digit Hydrologic Unit (HUCs) from the Watershed Boundary Dataset (WBD), (March 2011). With regard to resolution, the land cover and wetness index data sets are at 30 meter resolution. The soils data sets are also at 30 meter resolution; however, they are expressed as a percentage of a variably sized, sample area polygon. Beyond indicating wetness, incorporation of the CTI also allowed for further narrowing within the poorly drained and very poorly drained soil polygons. These three layers were then combined, resulting in four categories: unsuitable, low potential, moderate potential, and high potential. Unsuitable areas did not meet one or more of the suitability requirements for land cover, wetness, or soil type. Low potential areas met the land cover requirement and were more likely to contain high levels of poorly drained or very poorly drained soils (80-101%). Moderate and high potential areas met the land cover requirement and were more likely to be sufficiently wet. The differentiation between moderate and high potential areas is in the percentage of poorly drained and/or very poorly drained soils (PVP). Areas with suitable land cover, wetness, and 1-79% PVP were considered to have moderate potential for wetland restoration. Areas with suitable land cover, wetness, and 80-101% PVP were considered to have high potential for wetland restoration. The low, moderate, and high potential categories were then summarized into a percentage of land cover, excluding water, for each 12-digit HUC subwatershed. Entity and Attribute Detail Citation: https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets</gco:CharacterString>
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                        <gco:CharacterString>1. In order to evaluate land cover, used ArcGIS 10.1(1) to reclass applicable National Land Cover Database (NLCD) classes, Pasture/Hay (81) and Cultivated Crops (82), to potentially suitable (1) and the rest of the NLCD classes to unsuitable (0).</gco:CharacterString>
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                        <gco:CharacterString>2. In order to evaluate wetness, reclassed compound topographic index (CTI)&gt;= 550 as likely suitable (5) and &lt;550 as potentially suitable (0).</gco:CharacterString>
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                        <gco:DateTime>2013-03-25T00:00:00</gco:DateTime>
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                        <gco:CharacterString>3a. In order to consolidate applicable soil types, used Raster Calculator to add Poorly Drained and Very Poorly Drained soil layers (each expressed as a percentage of a polygon), resulting in "PVP."</gco:CharacterString>
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                     <gmd:dateTime>
                        <gco:DateTime>2013-03-26T00:00:00</gco:DateTime>
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                        <gco:CharacterString>3b. In order to evaluate soil types, reclassed PVP (step 3a) as likely suitability (20 for 80-101% PVP), potentially suitable (10 for 1-79% PVP), and unsuitable (0 for 0% PVP).</gco:CharacterString>
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                        <gco:DateTime>2013-03-26T00:00:00</gco:DateTime>
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                        <gco:CharacterString>4. In order to evaluate the combination of data sets, used Raster Calculator to add reclassed results from steps 1 (NLCD), 2 (CTI), and 3b (Soils).</gco:CharacterString>
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                        <gco:DateTime>2013-03-27T00:00:00</gco:DateTime>
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                        <gco:CharacterString>5. In order to categorize the results, reclassed combined data sets (step 4) into four categories: high potential (26 reclassed to 3), moderate potential (16 reclassed to 2), low potential (21 reclassed to 1), and unsuitable (all others reclassed to 0).</gco:CharacterString>
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                        <gco:DateTime>2013-03-27T00:00:00</gco:DateTime>
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                        <gco:CharacterString>6a. In order to calculate the total land cover, reclassed all NLCD classes, except Open Water (11), as suitable land cover (1). Open Water was excluded and reclassed as unsuitable (0) to be consistent with other EnviroAtlas HUC percentages calculated with ArcView extension, Analytical Tools Interface for Landscape Assessments (ATtILA, www.epa.gov/esd/land-sci/attila).</gco:CharacterString>
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                        <gco:DateTime>2013-03-28T00:00:00</gco:DateTime>
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               <gmd:processStep>
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                        <gco:CharacterString>6b. In order to calculate the total land cover per HUC, used Zonal Statistics as Table with the reclassed NLCD (step 6a) and a rasterized version (30m cells, snapped to NLCD) of the HUCs.</gco:CharacterString>
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                        <gco:DateTime>2013-03-28T00:00:00</gco:DateTime>
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                        <gco:CharacterString>7a. In order to calculate the total area with potential for restorable wetlands (PRW), reclassed the PRW results (step 5) into PRW (1-3 reclassed to 1) and unsuitable (0 remained 0).</gco:CharacterString>
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                        <gco:DateTime>2013-03-29T00:00:00</gco:DateTime>
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                        <gco:CharacterString>7b. In order to calculate the total PRW per HUC, used Zonal Statistics as Table with the reclassed PRW (step 7a) and rasterized HUCs.</gco:CharacterString>
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                        <gco:DateTime>2013-03-29T00:00:00</gco:DateTime>
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                        <gco:CharacterString>8. In order to calculate the percent PRW per HUC, joined the total area per HUC (step 6b) and PWR per HUC (step 7b) to the HUC polygon layer; exported the resulting joined table; and used the new table to add a field for and calculate the percent PRW of total land cover per HUC.</gco:CharacterString>
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