20100421 12254900 FALSE 20230310 11084500 20230310 11084500 SOILS 984952.636495 1227477.077955 478190.377137 739667.310547 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Florida_North_FIPS_0903_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Florida_North_FIPS_0903_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1968500.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.5],PARAMETER[&quot;Standard_Parallel_1&quot;,29.58333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,30.75],PARAMETER[&quot;Latitude_Of_Origin&quot;,29.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2883]]</WKT><XOrigin>-125939000</XOrigin><YOrigin>-91453300</YOrigin><XYScale>3048.0060960121914</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2883</WKID><LatestWKID>2883</LatestWKID></ProjectedCoordinateSystem> {C2C87BE3-12E6-430F-8B25-705501CEE250} 1.0 24000 original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VS5TLiBEZXBhcnRtZW50IG9mIEFncmljdWx0dXJlPC9vcmlnaW4+DQogICAgICAgIDxwdWJkYXRl PjE5OTE8L3B1YmRhdGU+DQogICAgICAgIDxwdWJpbmZvPg0KICAgICAgICAgIDxwdWJsaXNoPlVu aXRlZCBTdGF0ZXMgRGVwYXJ0bWVudCBvZiBBZ3JpY3VsdHVyZTwvcHVibGlzaD4NCiAgICAgICAg PC9wdWJpbmZvPg0KICAgICAgICA8b3RoZXJjaXQ+U2NhbGUgb2YgRGF0YTogMToyNTAsMDAwPC9v dGhlcmNpdD4NCiAgICAgIDwvY2l0ZWluZm8+DQogICAgPC9jaXRhdGlvbj4NCiAgICA8ZGVzY3Jp cHQ+DQogICAgICA8YWJzdHJhY3Q+VVNEQSBHZW5lcmFsIFNvaWxzIChTVEFUU0dPKTwvYWJzdHJh Y3Q+DQogICAgICA8cHVycG9zZT5UaGlzIGRhdGEgc2V0IGlzIGEgZGlnaXRhbCByZXByZXNlbnRh dGlvbiBvZiB0aGUgQ291bnR5IFNvaWwgU3VydmV5IG1hcHMgcHVibGlzaGVkIGJ5IHRoZSBVbml0 ZWQgU3RhdGVzIERlcGFydG1lbnQgb2YgQWdyaWN1bHR1cmUgKFVTREEpIE5hdHVyYWwgUmVzb3Vy Y2VzIENvbnNlcnZhdGlvbiBTZXJ2aWNlIChOUkNTKS4gVGhlIGRhdGEgd2VyZSBwdWJsaXNoZWQg YnkgdGhlIE5SQ1MgYXMgdGhlIFNvaWwgU2VydmljZSBHZW9ncmFwaGljIChTVEFUU0dPKSBkYXRh IHNldC4gVGhlIGRhdGEgYXJlIGRlc2lnbmVkIHRvIHByb3ZpZGVkIGEgZ3VpZGFuY2UgZm9yIHRo ZSB1c2Ugb2Ygc29pbHMgYXQgdGhlIGNvdW50eSBsZXZlbC48L3B1cnBvc2U+DQogICAgICA8c3Vw cGxpbmY+VGhpcyBkYXRhIHdhcyBvcmlnaW5hbGx5IHByb2plY3RlZCBpbiBBTEJFUlMsIE1FVEVS UywgSFBHTiBhbmQgd2FzIHJlcHJvamVjdGVkIGludG8gU1RBVEVQTEFORSwgRkVFVCwgSFBHTiBp biBvcmRlciB0byBtYXRjaCB3aXRoIEVzY2FtYmlhIENvdW50eSdzIGRhdGFzZXRzLjwvc3VwcGxp bmY+DQogICAgPC9kZXNjcmlwdD4NCiAgICA8dGltZXBlcmQ+DQogICAgICA8dGltZWluZm8+DQog ICAgICAgIDxzbmdkYXRlPg0KICAgICAgICAgIDxjYWxkYXRlPjE5OTE8L2NhbGRhdGU+DQogICAg ICAgIDwvc25nZGF0ZT4NCiAgICAgIDwvdGltZWluZm8+DQogICAgICA8Y3VycmVudD5wdWJsaWNh dGlvbiBkYXRlPC9jdXJyZW50Pg0KICAgIDwvdGltZXBlcmQ+DQogICAgPHN0YXR1cz4NCiAgICAg IDxwcm9ncmVzcz5Db21wbGV0ZTwvcHJvZ3Jlc3M+DQogICAgICA8dXBkYXRlPlVua25vd248L3Vw ZGF0ZT4NCiAgICA8L3N0YXR1cz4NCiAgICA8c3Bkb20+DQogICAgICA8Ym91bmRpbmc+DQogICAg ICAgIDx3ZXN0YmM+LTg3LjYzOTA5NTwvd2VzdGJjPg0KICAgICAgICA8ZWFzdGJjPi04Ni44NDgx MjY8L2Vhc3RiYz4NCiAgICAgICAgPG5vcnRoYmM+MzEuMDEyNjE1PC9ub3J0aGJjPg0KICAgICAg ICA8c291dGhiYz4zMC4yNzc5MzA8L3NvdXRoYmM+DQogICAgICA8L2JvdW5kaW5nPg0KICAgIDwv c3Bkb20+DQogICAgPGFjY2NvbnN0Pk5vbmU8L2FjY2NvbnN0Pg0KICAgIDx1c2Vjb25zdD5Ob25l PC91c2Vjb25zdD4NCiAgICA8cHRjb250YWM+DQogICAgICA8Y250aW5mbz4NCiAgICAgICAgPGNu dG9yZ3A+DQogICAgICAgICAgPGNudG9yZz5VLlMuIERlcGFydG1lbnQgb2YgQWdyaWN1bHR1cmUg KFVTREEpPC9jbnRvcmc+DQogICAgICAgIDwvY250b3JncD4NCiAgICAgICAgPGNudGFkZHI+DQog ICAgICAgICAgPGFkZHJ0eXBlPm1haWxpbmcgYWRkcmVzczwvYWRkcnR5cGU+DQogICAgICAgICAg PGFkZHJlc3M+UC5PLiBCb3ggNjU2NzwvYWRkcmVzcz4NCiAgICAgICAgICA8Y2l0eT5Gb3J0IFdv cnRoPC9jaXR5Pg0KICAgICAgICAgIDxzdGF0ZT5UWDwvc3RhdGU+DQogICAgICAgICAgPHBvc3Rh bD43NjExNS0wNTY3PC9wb3N0YWw+DQogICAgICAgICAgPGNvdW50cnk+VW5pdGVkIFN0YXRlczwv Y291bnRyeT4NCiAgICAgICAgPC9jbnRhZGRyPg0KICAgICAgICA8Y250dm9pY2U+KDgxNykgMzM0 LTU1NTkgZXh0LiAzMDA4PC9jbnR2b2ljZT4NCiAgICAgICAgPGNudGZheD4oODE3KSAzMzQtNTQ2 OTwvY250ZmF4Pg0KICAgICAgICA8Y250aW5zdD4NCk5hdGlvbmFsIENhcnRvZ3JhcGh5IGFuZCBH SVMgQ2VudGVyDQpVLlMuIERlcGFydG1lbnQgb2YgQWdyaWN1bHR1cmUNCk5hdGlvbmFsIFJlc291 cmNlcyBDb25zZXJ2YXRpb24gU2VydmljZQ0KUC5PLiBCb3ggNjU2Nw0KRm9ydCBXb3J0aCwgVFgg NzYxMTUtMDU2Nw0KDQpodHRwOi8vd3d3Lm5yY3MudXNkYS5nb3YNCjwvY250aW5zdD4NCiAgICAg IDwvY250aW5mbz4NCiAgICA8L3B0Y29udGFjPg0KICAgIDxkYXRhY3JlZD5Vbml0ZWQgU3RhdGVz IERlcGFydG1lbnQgb2YgQWdyaWN1bHR1cmUgKFVTREEpIE5hdHVyYWwgUmVzb3VyY2VzIENvbnNl cnZhdGlvbiBTZXJ2aWNlIChOUkNTKS48L2RhdGFjcmVkPg0KICAgIDxjcm9zc3JlZj4NCiAgICAg IDxjaXRlaW5mbz4NCiAgICAgICAgPG9yaWdpbj5Vbml0ZWQgU3RhdGVzIERlcGFydG1lbnQgb2Yg QWdyaWN1bHR1cmU8L29yaWdpbj4NCiAgICAgICAgPHB1YmRhdGU+MTk5MTwvcHViZGF0ZT4NCiAg ICAgICAgPHB1YnRpbWU+VW5rbm93bjwvcHVidGltZT4NCiAgICAgICAgPHRpdGxlPlNvaWxzIChT VEFUU0dPKTwvdGl0bGU+DQogICAgICA8L2NpdGVpbmZvPg0KICAgIDwvY3Jvc3NyZWY+DQogIDwv aWRpbmZvPg0KICA8ZGF0YXF1YWw+DQogICAgPGxpbmVhZ2U+DQogICAgICA8c3JjaW5mbz4NCiAg ICAgICAgPHNyY3NjYWxlPjE6MjUwLDAwMDwvc3Jjc2NhbGU+DQogICAgICA8L3NyY2luZm8+DQog ICAgICA8cHJvY3N0ZXA+DQogICAgICAgIDxwcm9jZGVzYz5NZXRhZGF0YSBpbXBvcnRlZC48L3By b2NkZXNjPg0KICAgICAgICA8c3JjdXNlZD5IOlxHSVNcd29ya1xTREVfTEFZRVJTXG1ldGFkYXRh XHNvaWxzLnhtbDwvc3JjdXNlZD4NCiAgICAgIDwvcHJvY3N0ZXA+DQogICAgPC9saW5lYWdlPg0K ICA8L2RhdGFxdWFsPg0KICA8c3ByZWY+DQogICAgPGhvcml6c3lzPg0KICAgICAgPHBsYW5hcj4N CiAgICAgICAgPHBsYW5jaT4NCiAgICAgICAgICA8cGxhbmNlPmNvb3JkaW5hdGUgcGFpcjwvcGxh bmNlPg0KICAgICAgICAgIDxjb29yZHJlcD4NCiAgICAgICAgICAgIDxhYnNyZXM+MC4wMDE5MDI8 L2Fic3Jlcz4NCiAgICAgICAgICAgIDxvcmRyZXM+MC4wMDE5MDI8L29yZHJlcz4NCiAgICAgICAg ICA8L2Nvb3JkcmVwPg0KICAgICAgICAgIDxwbGFuZHU+c3VydmV5IGZlZXQ8L3BsYW5kdT4NCiAg ICAgICAgPC9wbGFuY2k+DQogICAgICA8L3BsYW5hcj4NCiAgICAgIDxnZW9kZXRpYz4NCiAgICAg ICAgPGhvcml6ZG4+RF9Ob3J0aF9BbWVyaWNhbl8xOTgzX0hBUk48L2hvcml6ZG4+DQogICAgICAg IDxlbGxpcHM+R2VvZGV0aWMgUmVmZXJlbmNlIFN5c3RlbSA4MDwvZWxsaXBzPg0KICAgICAgICA8 c2VtaWF4aXM+NjM3ODEzNy4wMDAwMDA8L3NlbWlheGlzPg0KICAgICAgICA8ZGVuZmxhdD4yOTgu MjU3MjIyPC9kZW5mbGF0Pg0KICAgICAgPC9nZW9kZXRpYz4NCiAgICA8L2hvcml6c3lzPg0KICA8 L3NwcmVmPg0KICA8ZWFpbmZvPg0KICAgIDxkZXRhaWxlZCBOYW1lPSJzZGVfdmVjLkVTQ0FNQklB LlNPSUxTIj4NCiAgICAgIDxlbnR0eXA+DQogICAgICAgIDxlbnR0eXBsIFN5bmM9IlRSVUUiPnNk ZV92ZWMuRVNDQU1CSUEuU09JTFM8L2VudHR5cGw+DQogICAgICAgIDxlbnR0eXB0IFN5bmM9IlRS VUUiPkZlYXR1cmUgQ2xhc3M8L2VudHR5cHQ+DQogICAgICAgIDxlbnR0eXBjIFN5bmM9IlRSVUUi PjExNzY2PC9lbnR0eXBjPg0KICAgICAgPC9lbnR0eXA+DQogICAgICA8YXR0cj4NCiAgICAgICAg PGF0dHJsYWJsIFN5bmM9IlRSVUUiPk9CSkVDVElEPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJk ZWYgU3luYz0iVFJVRSI+SW50ZXJuYWwgZmVhdHVyZSBudW1iZXIuPC9hdHRyZGVmPg0KICAgICAg ICA8YXR0cmRlZnMgU3luYz0iVFJVRSI+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9t dj4NCiAgICAgICAgICA8dWRvbSBTeW5jPSJUUlVFIj5TZXF1ZW50aWFsIHVuaXF1ZSB3aG9sZSBu dW1iZXJzIHRoYXQgYXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAg PC9hdHRyZG9tdj4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPk9CSkVDVElEPC9hdHRh bGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPk9JRDwvYXR0cnR5cGU+DQogICAg ICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lz IFN5bmM9IlRSVUUiPjEwPC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUi PjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRy bGFibCBTeW5jPSJUUlVFIj5NVVNZTTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkludGVy bmFsIG5vZGUgbnVtYmVyIGZvciB0aGUgcmlnaHQgcG9seWdvbi48L2F0dHJkZWY+DQogICAgICAg IDxhdHRyZGVmcz5FU1JJPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAg IDx1ZG9tPldob2xlIG51bWJlcnMgdGhhdCBhcmUgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQuPC91 ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+ TVVTWU08L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+U3RyaW5nPC9h dHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjg8L2F0dHdpZHRoPg0KICAg ICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2Fs ZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0K ICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+TVVOQU1FPC9hdHRybGFibD4NCiAgICAgICAg PGF0dHJkZWY+TGVuZ3RoIG9mIGZlYXR1cmUgaW4gaW50ZXJuYWwgdW5pdHMuPC9hdHRyZGVmPg0K ICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9tdj4NCiAg ICAgICAgICA8dWRvbT5Qb3NpdGl2ZSByZWFsIG51bWJlcnMgdGhhdCBhcmUgYXV0b21hdGljYWxs eSBnZW5lcmF0ZWQuPC91ZG9tPg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxp YXMgU3luYz0iVFJVRSI+TVVOQU1FPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9 IlRSVUUiPlN0cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj4x MDA8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MDwvYXRwcmVjaXM+ DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4NCiAgICAgIDwvYXR0 cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+U0hBUEU8L2F0 dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZiBTeW5jPSJUUlVFIj5GZWF0dXJlIGdlb21ldHJ5Ljwv YXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzIFN5bmM9IlRSVUUiPkVTUkk8L2F0dHJkZWZzPg0K ICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20gU3luYz0iVFJVRSI+Q29vcmRpbmF0 ZXMgZGVmaW5pbmcgdGhlIGZlYXR1cmVzLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAg ICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPlNoYXBlPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0 dHJ0eXBlIFN5bmM9IlRSVUUiPkdlb21ldHJ5PC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRo IFN5bmM9IlRSVUUiPjQ8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+ MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9hdHRzY2FsZT4N CiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJV RSI+U0hBUEUuQVJFQTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlVzZXItZGVmaW5lZCBm ZWF0dXJlIG51bWJlci48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5FU1JJPC9hdHRyZGVm cz4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPlNoYXBlLmFyZWE8L2F0dGFsaWFzPg0K ICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+RG91YmxlPC9hdHRydHlwZT4NCiAgICAgICAg PGF0dHdpZHRoIFN5bmM9IlRSVUUiPjA8L2F0dHdpZHRoPg0KICAgICAgICA8YXRwcmVjaXMgU3lu Yz0iVFJVRSI+MDwvYXRwcmVjaXM+DQogICAgICAgIDxhdHRzY2FsZSBTeW5jPSJUUlVFIj4wPC9h dHRzY2FsZT4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmwg U3luYz0iVFJVRSI+U0hBUEUuTEVOPC9hdHRybGFibD4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9 IlRSVUUiPlNoYXBlLmxlbjwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVF Ij5Eb3VibGU8L2F0dHJ0eXBlPg0KICAgICAgICA8YXR0d2lkdGggU3luYz0iVFJVRSI+MDwvYXR0 d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAg ICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRyPg0KICAg IDwvZGV0YWlsZWQ+DQogICAgPGRldGFpbGVkPg0KICAgICAgPGVudHR5cD4NCiAgICAgICAgPGVu dHR5cGw+c29pbHMucGF0PC9lbnR0eXBsPg0KICAgICAgPC9lbnR0eXA+DQogICAgICA8YXR0cj4N CiAgICAgICAgPGF0dHJsYWJsPkZJRDwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkludGVy bmFsIGZlYXR1cmUgbnVtYmVyLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVTUkk8L2F0 dHJkZWZzPg0KICAgICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+U2VxdWVudGlhbCB1 bmlxdWUgd2hvbGUgbnVtYmVycyB0aGF0IGFyZSBhdXRvbWF0aWNhbGx5IGdlbmVyYXRlZC48L3Vk b20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAg ICAgICAgPGF0dHJsYWJsPlNoYXBlPC9hdHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+RmVhdHVy ZSBnZW9tZXRyeS48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5FU1JJPC9hdHRyZGVmcz4N CiAgICAgICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tPkNvb3JkaW5hdGVzIGRlZmluaW5n IHRoZSBmZWF0dXJlcy48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+ DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPkFSRUE8L2F0dHJsYWJsPg0KICAgICAg ICA8YXR0cmRlZj5BcmVhIG9mIGZlYXR1cmUgaW4gaW50ZXJuYWwgdW5pdHMgc3F1YXJlZC48L2F0 dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5FU1JJPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJk b212Pg0KICAgICAgICAgIDx1ZG9tPlBvc2l0aXZlIHJlYWwgbnVtYmVycyB0aGF0IGFyZSBhdXRv bWF0aWNhbGx5IGdlbmVyYXRlZC48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8 L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPlBFUklNRVRFUjwvYXR0cmxh Ymw+DQogICAgICAgIDxhdHRyZGVmPlBlcmltZXRlciBvZiBmZWF0dXJlIGluIGludGVybmFsIHVu aXRzLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVTUkk8L2F0dHJkZWZzPg0KICAgICAg ICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9zaXRpdmUgcmVhbCBudW1iZXJzIHRoYXQg YXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4N CiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U09JTFMjPC9h dHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+SW50ZXJuYWwgZmVhdHVyZSBudW1iZXIuPC9hdHRy ZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICAgIDxhdHRyZG9t dj4NCiAgICAgICAgICA8dWRvbT5TZXF1ZW50aWFsIHVuaXF1ZSB3aG9sZSBudW1iZXJzIHRoYXQg YXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4N CiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U09JTFMtSUQ8 L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5Vc2VyLWRlZmluZWQgZmVhdHVyZSBudW1iZXIu PC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRlZnM+RVNSSTwvYXR0cmRlZnM+DQogICAgICA8L2F0 dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPk1VU1lNPC9hdHRybGFibD4NCiAg ICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+TVVOQU1FPC9hdHRy bGFibD4NCiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0KICA8L2VhaW5mbz4NCiAgPGRp c3RpbmZvPg0KICAgIDxyZXNkZXNjPkRvd25sb2FkYWJsZSBEYXRhPC9yZXNkZXNjPg0KICAgIDxz dGRvcmRlcj4NCiAgICAgIDxkaWdmb3JtPg0KICAgICAgICA8ZGlndGluZm8+DQogICAgICAgICAg PHRyYW5zaXplPjI4LjYwNjwvdHJhbnNpemU+DQogICAgICAgIDwvZGlndGluZm8+DQogICAgICA8 L2RpZ2Zvcm0+DQogICAgPC9zdGRvcmRlcj4NCiAgPC9kaXN0aW5mbz4NCiAgPG1ldGFpbmZvPg0K ICAgIDxtZXRjPg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAg IDxjbnRvcmc+RXNjYW1iaWEgQ291bnR5IEdJUyBEaXZpc2lvbjwvY250b3JnPg0KICAgICAgICA8 L2NudG9yZ3A+DQogICAgICAgIDxjbnRhZGRyPg0KICAgICAgICAgIDxhZGRydHlwZT5tYWlsaW5n IGFuZCBwaHlzaWNhbCBhZGRyZXNzPC9hZGRydHlwZT4NCiAgICAgICAgICA8YWRkcmVzcz4xMTkw IFcuIExlb25hcmQgU3QuPC9hZGRyZXNzPg0KICAgICAgICAgIDxjaXR5PlBlbnNhY29sYTwvY2l0 eT4NCiAgICAgICAgICA8c3RhdGU+Rkw8L3N0YXRlPg0KICAgICAgICAgIDxwb3N0YWw+MzI1MDE8 L3Bvc3RhbD4NCiAgICAgICAgICA8Y291bnRyeT5Vbml0ZWQgU3RhdGVzPC9jb3VudHJ5Pg0KICAg ICAgICA8L2NudGFkZHI+DQogICAgICAgIDxjbnR2b2ljZT4oODUwKSA1OTUtMzU5ODwvY250dm9p Y2U+DQogICAgICA8L2NudGluZm8+DQogICAgPC9tZXRjPg0KICAgIDxtZXRleHRucz4NCiAgICAg IDxvbmxpbms+aHR0cDovL3d3dy5lc3JpLmNvbS9tZXRhZGF0YS9lc3JpcHJvZjgwLmh0bWw8L29u bGluaz4NCiAgICAgIDxtZXRwcm9mPkVTUkkgTWV0YWRhdGEgUHJvZmlsZTwvbWV0cHJvZj4NCiAg ICA8L21ldGV4dG5zPg0KICA8L21ldGFpbmZvPg0KICA8RXNyaT4NCiAgICA8Q3JlYURhdGU+MjAx MDA0MjE8L0NyZWFEYXRlPg0KICAgIDxDcmVhVGltZT4xMjI1NDkwMDwvQ3JlYVRpbWU+DQogICAg PFN5bmNPbmNlPkZBTFNFPC9TeW5jT25jZT4NCiAgICA8U3luY0RhdGU+MjAyMDA2MDI8L1N5bmNE YXRlPg0KICAgIDxTeW5jVGltZT4xMDIwMDMwMDwvU3luY1RpbWU+DQogICAgPE1vZERhdGU+MjAy MDA2MDI8L01vZERhdGU+DQogICAgPE1vZFRpbWU+MTAyMDAzMDA8L01vZFRpbWU+DQogICAgPERh dGFQcm9wZXJ0aWVzPg0KICAgICAgPGxpbmVhZ2U+DQogICAgICAgIDxQcm9jZXNzIFRvb2xTb3Vy Y2U9IkM6XFByb2dyYW0gRmlsZXNcQXJjR0lTXEFyY1Rvb2xib3hcVG9vbGJveGVzXENvbnZlcnNp b24gVG9vbHMudGJ4XEZlYXR1cmVDbGFzc1RvRmVhdHVyZUNsYXNzIiBEYXRlPSIyMDA5MTAyOCIg VGltZT0iMTAxNTU2Ij5GZWF0dXJlQ2xhc3NUb0ZlYXR1cmVDbGFzcyAiRGF0YWJhc2UgQ29ubmVj dGlvbnNcZXNjYW1iaWFfdmVjdG9ycy5zZGVcRVNDQU1CSUEuc29pbHNcRVNDQU1CSUEuc29pbHMi ICJEYXRhYmFzZSBDb25uZWN0aW9uc1xEaXJlY3QgQ29ubmVjdCBzZGVfdmVjQGVzY2FtYmlhLnNk ZSIgU09JTFMgIyAiTVVTWU0gJ01VU1lNJyB0cnVlIHRydWUgZmFsc2UgOCBUZXh0IDAgMCAsRmly c3QsIyxEYXRhYmFzZSBDb25uZWN0aW9uc1xlc2NhbWJpYV92ZWN0b3JzLnNkZVxFU0NBTUJJQS5z b2lsc1xFU0NBTUJJQS5zb2lscyxNVVNZTSwtMSwtMTtNVU5BTUUgJ01VTkFNRScgdHJ1ZSB0cnVl IGZhbHNlIDEwMCBUZXh0IDAgMCAsRmlyc3QsIyxEYXRhYmFzZSBDb25uZWN0aW9uc1xlc2NhbWJp YV92ZWN0b3JzLnNkZVxFU0NBTUJJQS5zb2lsc1xFU0NBTUJJQS5zb2lscyxNVU5BTUUsLTEsLTEi IERFRkFVTFRTICJEYXRhYmFzZSBDb25uZWN0aW9uc1xEaXJlY3QgQ29ubmVjdCBzZGVfdmVjQGVz Y2FtYmlhLnNkZVxzZGVfdmVjLkVTQ0FNQklBLlNPSUxTIjwvUHJvY2Vzcz4NCiAgICAgIDwvbGlu ZWFnZT4NCiAgICA8L0RhdGFQcm9wZXJ0aWVzPg0KICAgIDxNZXRhSUQ+e0MyQzg3QkUzLTEyRTYt NDMwRi04QjI1LTcwNTUwMUNFRTI1MH08L01ldGFJRD4NCiAgPC9Fc3JpPg0KPC9tZXRhZGF0YT4= U.S. Department of Agriculture, Natural Resources Conservation Service State Soil Scientist 352.338.9535 800.877.8339 USDA-NRCS Florida State Office - Soils 4500 NW 27th Avenue Bldg. A Gainesville FL 32606 kevin.sullivan2@usda.gov 20220923 ArcGIS Metadata 1.0 U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center 800 672 5559 202 720 2600 817 509 3469 501 West Felix Street, Building 23, P.O. Box 6567 Fort Worth Texas 76115 The charge is $50 for a CD-ROM that contains one or more data sets. A data set is one soil survey area that includes both spatial and attribute data. Call or write to organizations listed under Distributor. Spatial line data and locations of special feature symbols are in ARC/INFO coverage and export formats, and ArcView shapefile format. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format. 10 working days ArcView shapefile spatial 38.0 https://websoilsurvey.sc.egov.usda.gov/ Enterprise Geodatabase Feature Class Soil Survey Geographic (SSURGO) database for Escambia County, Florida 2022-09-01 U.S. Department of Agriculture, Natural Resources Conservation Service U.S. Department of Agriculture, Natural Resources Conservation Service Fort Worth, Texas fl033 This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. SSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey. U.S. Department of Agriculture, Natural Resources Conservation Service State Soil Scientist 352.338.9535 800.877.8339 USDA-NRCS Florida State Office - Soils 4500 NW 27th Avenue Bldg. A Gainesville FL 32606 kevin.sullivan2@usda.gov Florida Escambia County Barrineau Park Quadrangle Bay Springs Quadrangle Bratt Quadrangle Cantonment Quadrangle Century Quadrangle Dogwood Creek Quadrangle Dyas Quadrangle Enon Quadrangle Fort Barrancas Quadrangle Garcon Point Quadrangle Gateswood Quadrangle Gulf Breeze Quadrangle Holley Quadrangle Jay Quadrangle Lillian Quadrangle McDavid Quadrangle Molino Quadrangle Navarre Quadrangle Orange Beach Quadrangle Oriole Beach Quadrangle Pace Quadrangle Pensacola Quadrangle Perdido Bay Quadrangle Seminole Quadrangle South of Holley Quadrangle Walnut Hill Quadrangle West Pensacola Quadrangle USGS Geographic Names Information System (GNIS) soil survey soils Soil Survey Geographic SSURGO soil survey soils Soil Survey Geographic SSURGO Florida Escambia County Barrineau Park Quadrangle Bay Springs Quadrangle Bratt Quadrangle Cantonment Quadrangle Century Quadrangle Dogwood Creek Quadrangle Dyas Quadrangle Enon Quadrangle Fort Barrancas Quadrangle Garcon Point Quadrangle Gateswood Quadrangle Gulf Breeze Quadrangle Holley Quadrangle Jay Quadrangle Lillian Quadrangle McDavid Quadrangle Molino Quadrangle Navarre Quadrangle Orange Beach Quadrangle Oriole Beach Quadrangle Pace Quadrangle Pensacola Quadrangle Perdido Bay Quadrangle Seminole Quadrangle South of Holley Quadrangle Walnut Hill Quadrangle West Pensacola Quadrangle The U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data. This data set is not designed for use as a primary regulatory tool in permitting or citing decisions, but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Photographic or digital enlargement of these maps to scales greater than at which they were originally mapped can cause misinterpretation of the data. If enlarged, maps do not show the small areas of contrasting soils that could have been shown at a larger scale. The depicted soil boundaries, interpretations, and analysis derived from them do not eliminate the need for onsite sampling, testing, and detailed study of specific sites for intensive uses. Thus, these data and their interpretations are intended for planning purposes only. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data. Although these data have been processed successfully on a computer system at the U.S. Department of Agriculture, no warranty expressed or implied is made by the Agency regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. The U.S. Department of Agriculture will warrant the delivery of this product in computer readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Request for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site. The U.S. Department of Agriculture, nor any of its agencies are liable for misuse of the data, for damage, for transmission of viruses, or for computer contamination through the distribution of these data sets. The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital or family status. (Not all prohibited bases apply to all programs.) true -87.635 -86.850 30.999 30.280 publication date 1999-04-26 2022-09-01 Digital versions of hydrography, cultural features, and other associated layers that are not part of the SSURGO data set may be available from the primary organization listed in the Point of Contact. Esri ArcGIS 13.1.0.41833 1 -87.639096 -86.848126 31.012649 30.277930 The attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s). Certain node/geometry and topology GT- polygon/chain relationships are collected or generated to satisfy topological requirements (the GT-polygon corresponds to the soil delineation). Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout, and the chains representing the limits of the file are free of gaps. The tests of logical consistency are performed using vendor software. All internal polygons are tested for closure with vendor software and are checked on hard copy plots. All data are checked for common soil lines (i.e., adjacent polygons with the same label). Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. Feature edges in this soil survey are not matched to those in Santa Rosa County, Florida soil survey, and Baldwin County, Alabama soil survey. Feature labels do not match. A map unit is a collection of areas defined and named in terms of their soil components or miscellaneous areas or both. Each map unit differs in some respect from all others in a survey area and each map unit has a symbol that uniquely identifies the map unit on a soil map. Each individual area, point, or line so identified on the map is a delineation. Soil Scientists identify small areas of soils or miscellaneous areas that have properties and behavior significantly different than the named soils in the surrounding map unit. These minor components may be indicated as special features. If they have a minimal effect on use and management, or could not be precisely located, they may not be indicated on the map. A map unit has specified kinds of soils or miscellaneous areas (map unit components), each with a designated range in proportionate extent. Map units include one or more kinds of soil or miscellaneous area. Miscellaneous areas are areas that have little or no recognizable soil. Specific National Cooperative Soil Survey standards and procedures were used in the classification of soils, design and name of map units, and location of special soil features. These standards are outlined in Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995, USDA, NRCS; and all Amendments; Keys to Soil Taxonomy, (current issue) USDA, NRCS; National Soil Survey Handbook, title 430-VI,(current issue) USDA, NRCS. The actual composition and interpretive purity of the map unit delineations were based on data collected by scientists during the course of preparing the soil maps. Adherence to National Cooperative Soil Survey standards and procedures is based on peer review, quality control, and quality assurance. Quality control is outlined in the memorandum of understanding for the soil survey area and in documents that reside with the Natural Resources Conservation Service state soil scientist. Four kinds of map units are used in soil surveys: consociations, complexes, associations, and undifferentiated groups. Consociations - Consociations are named for the dominant soil. In a consociation, delineated areas use a single name from the dominant component in the map unit. Dissimilar components are minor in extent. The soil component in a consociation may be identified at any taxonomic level. Soil series is the lowest taxonomic level. A consociation that is named as a miscellaneous area is dominantly that kind of area and minor components do not significantly affect the use of the map unit. The total amount of dissimilar inclusions of other components in a map unit generally does not exceed about 15 percent if limiting and 25 percent if nonlimiting. A single component of a dissimilar limiting inclusion generally does not exceed 10 percent if very contrasting. Complexes and associations - Complexes and associations consist of two or more dissimilar components that occur in a regularly repeating pattern. The total amount of other dissimilar components is minor extent. The following arbitrary rule determines whether complex or association is used in the name. The major components of an association can be separated at the scale of mapping. In either case, because the major components are sufficiently different in morphology or behavior, the map unit cannot be called a consociation. In each delineation of a complex or an association, each major component is normally present though their proportions may vary appreciably from one delineation to another. The total amount of inclusions in a map unit that are dissimilar to any of the major components does not exceed 15 percent if limiting and 25 percent if nonlimiting. A single kind of dissimilar limiting inclusion usually does not exceed 10 percent. Undifferentiated groups - Undifferentiated groups consist of two or more components that are not consistently associated geographically and, therefore, do not always occur together in the same map delineation. These components are included in the same named map unit because their use and management are the same or very similar for common uses. Generally they are grouped together because some common feature, such as steepness, stoniness, or flooding, determines their use and management. If two or more additional map units would serve no useful purpose, they may be included in the same unit. Each delineation has at least one of the major components, and some may have all of them. The same principles regarding the proportion of minor components that apply to consociations also apply to undifferentiated groups. The same principles regarding proportion of inclusion apply to undifferentiated groups as to consociations. Minimum documentation consists of three complete soil profile descriptions that are collected for each soil added to the legend, one additional per 3,000 acres mapped; three 10 observation transects for each map unit, one additional 10 point transect per 3,000 acres. A defined standard or level of confidence in the interpretive purity of the map unit delineations is attained by adjusting the kind and intensity of field investigations. Field investigations and data collection are carried out in sufficient detail to name map units and to identify accurately and consistently areas of about 3 acres. The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards at a scale of 1 inch equals 1,000 feet. The difference in positional accuracy between the soil boundaries and special soil features locations in the field and their digitized map locations is unknown. The locational accuracy of soil delineations on the ground varies with the transition between map units. For example, on long gently sloping landscapes the transition occurs gradually over many feet. Where landscapes change abruptly from steep to level, the transition will be very narrow. Soil delineation boundaries and special soil features generally were digitized within 0.01 inch of their locations on the digitizing source. The digital map elements are edge matched between data sets. The data along each quadrangle edge are matched against the data for the adjacent quadrangle. Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. Escambia County, Florida, had a previously published soil survey, 2002, at a scale of 1:24000. An evaluation of the soil survey determined that the soil map unit delineations and map unit components were accurate. 2002 NRCS1 Field procedures for the second order soil survey included plotting of soil boundaries determined by field observations and by interpretation of remotely sensed data. Boundaries were verified at closely spaced intervals, and the soils in each delineation were identified by traversing and transecting the landscape. Soil scientists described and sampled the soils, analyzed samples in the laboratory, and statistically analyzed the data. The classification and map unit names were finalized at the final correlation in August 1997. 1997 NRCS1 Soil map unit delineations and special soil features were manually compiled from publication overlays to overlays registered to topoquadrangles at 1:24000 scale by NRCS soil scientists and cartographic technicians in Florida. Overlays were scanned by Midwest Graphics, Milwaukee, WI, with an Intergraph scanner at 300 dpi resolution. Digitizing was done by Missouri NRCS Digitizing Unit staff. Raster editing and vector conversion were done in LT4X 4.1.0. The vector files were translated to dxf format and imported into Arc/Info 7.1.1. Arc Macro Language programs were used to project, attribute, edge match, and error check the data in Arc/Info. Check plots of each 7.5-minute quadrangle were compared to the scanned source materials for accuracy. Errors in the source material were reviewed and corrected by NRCS personnel in Florida. These corrections were incorporated into the digital data. Special features were manually digitized in Arc/Info. All data were translated to DLG-3 optional format in Arc/Info 7.1.1. The DLG-3 files were imported into Arc/Info 7.1.1. and reviewed for adherence to SSURGO standards by Missouri Digitizing Unit staff. Edits were made in Arc/Edit. New DLGs reflecting these edits were written with Arc/Info 7.1.1. 1999 USGS1, NRCS1, NRCS2, NRCS3 The Map Unit Interpretations Record data base was developed by Natural Resources Conservation Service soil scientists according to national standards. 1999 NRCS1 The Map Unit Interpretations Record attribute data have been replaced with attribute data from the National Soil Information System database. Selected arcs were generalized with a weed tolerance of 1 meter in ARCEDIT to reduce file size. Selected boundary arcs were generalized to eliminate unnecessary vertices in the survey boundary. A new ARC/INFO coverage reflecting these edits was produced with ARC/INFO 7.2.1 and reviewed for adherence to SSURGO standards by Missouri NRCS Regional Digitizing Unit staff. 2004 NRCS1, NRCS4 This refresh of data was edited to closely match the published soil survey in relation to layer depths from TUD's and MUD's. RV's were set based on published data for texture, particle size, and pH of the typical pedons. In some cases, particle size, organic carbon, and pH were matched to the published data and adjustments were made using laboratory data. 2008-04-22 NASIS NRCS evaluated all map units in Florida, then the selected map units that met specific characteristics and were reviewed by Resource Soil Scientists or were designated through local SWCD requests. Previously, no map units in Florida were designated as Farmland of Unique or Local Importance. Then the Farmland Classification of selected map units within this county were changed in NASIS (Legend/Map Unit object) from "Not Prime Farmland" to either "Farmland of Local Importance" or "Farmland of Unique Importance". These map units met specific criteria in accordance with the USDA-NRCS Policy: PART 657--PRIME AND UNIQUE FARMLANDS [Code of Federal Regulations][Title 7, Volume 6, Parts 400 to 699]. This export includes the new hydrologic soil group (HSG). The HSG was calculated from database elements based on the HSG criteria (Table 7) in the National Engineering Handbook, Part 630 Hydrology, Chapter 7. This data refresh replaces the national interpretation with the Florida version of FOR-Potential Seedling Mortality. 2010-02-01 NASIS The spatial data for Escambia County, Florida soil survey area was downloaded from the Soil Data Mart on October 15, 2012. The individual shapefiles were appended into a geodatabase for region 7. The data were processed in ARCGIS 10.1 using a topology object with a 0.1 meter cluster tolerance for the purpose of eliminating gaps and overlaps within the region 7 soils geodatabase. Individual soil survey area data were exported as shapefiles from the regional geodatabase. A datum transformation from NAD83 to WGS84 using the NAD_1983_To_WGS_1984_1 datum transformation method was applied to the data. The data were checked with the SSURGO Evaluation scripts provided by U.S. Department of Agriculture, Natural Resources Conservation Service. The shapefiles were then uploaded to the soil data warehouse for archival and distribution. 2013 NRCS5 The data in this export contains the new Forage Suitability Groups at the component level. All calculations were made per NB_430_12_1 and HSG was recalculated. This soil survey area contains map units that have been edited per the SDJR Project and that represent the MLRA concept. 2013-12-27 NASIS See the report named Survey Area Data Summary to see list of map units updated in FY 14. 2014-09-26 NASIS The spatial data for the entire SSURGO database was recertified in October of 2019 to reduce storage requirements and to improve map display and geoprocessing performance. The SSURGO data is internally managed using 12 Regional Transactional Spatial Databases (RTSD) that are in an ESRI File Geodatabase format. The spatial extent of the RTSDs follow the Soil and Plant Science Division (SPSD) regional administrative boundaries. The XY coordinate system of this RTSD is USA Contiguous Albers Equal Area Conic USGS Version WKID: 102039 and has an XY storage precision of 0.001 meters. The RTSDs were recreated using a reduced storage precision of 0.1 meters to reduce the physical size of the data. The SSURGO data was also generalized by removing excess vertices, using a tolerance of 1 meter. The topology was validated at the CONUS level using a tolerance of 0.2 meters. This effort directly affects the gSSURGO and gNATSGO product since these deliverables are in a File Geodatabase format. 2019 NRCS5 The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. 2019-09-16 NASIS The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. 2019-09-16 NASIS The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. 2020-06-11 NASIS The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. 2020-06-11 NASIS The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. 2021-09-08 NASIS The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. 2021-09-08 NASIS The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. 2022-09-01 NASIS The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. 2022-09-01 NASIS compilation base 24000 multiple 7.5 minute topographic quadrangles USGS1 U.S. Geological Survey U.S. Geological Survey Reston, Virginia map publication date 1994 1996 information for soil map unit delineations, special feature locations, and data on soil properties 24000 Soil Survey of Escambia County, Florida NRCS1 2002 U.S. Department of Agriculture, Natural Resources Conservation Service U.S. Government Printing Office Washington, D.C. atlas publication date 2002 source material for compiling to compilation base 24000 film positives of publication overlays NRCS2 U.S. Department of Agriculture, Natural Resources Conservation Service remote sensing image 1996 1996 source material for scanning 24000 annotated overlays NRCS3 U.S. Department of Agriculture, Natural Resources Conservation Service map 1999 1999 SSURGO data for revision of spatial data 24000 Soil Survey Geographic (SSURGO) database for Escambia County, Florida NRCS4 1999 U.S. Department of Agriculture, Natural Resources Conservation Service U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center Fort Worth, Texas map 1999 1999 attribute (tabular) information National Soil Information System (NASIS) data base NASIS 2004 U.S. Department of Agriculture, Natural Resources Conservation Service U.S. Department of Agriculture, Natural Resources Conservation Service Fort Collins, Colorado tabular digital data publication date 2004 2004 Source of digital revision - recreated yearly region 7 soils geodatabase NRCS5 U.S. Department of Agriculture, Natural Resources Conservation Service file geodatabase SSURGO publication date 2006 2018 Special Soil Features Special Soil Features represent soil, miscellaneous area, or landform features that are too small to be digitized as soil delineations (area features). Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS. Feature Class 11752 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. MUSYM MUSYM String 8 0 0 MUNAME MUNAME String 100 0 0 Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. Shape.area Shape.area Double 0 0 0 Shape.len Shape.len Double 0 0 0 Map Unit Delineations are closed polygons that may be dominated by a single soil or miscellaneous area component plus allowable similar or dissimilar soils, or they can be geographic mixtures of groups of soils or soils and miscellaneous areas. The map unit symbol uniquely identifies each closed map unit delineation. Each symbol corresponds to a map unit name. The map unit key is used to link to information in the National Soil Information System tables. Map Unit Delineations are described by the National Soil Information System database. This attribute database gives the proportionate extent of the component soils and the properties for each soil. The database contains both estimated and measured data on the physical and chemical soil properties and soil interpretations for engineering, water management, recreation, agronomic, woodland, range, and wildlife uses of the soil. The National Soil Information System database contains static metadata. It documents the data structure and includes such information as what tables, columns, indexes, and relationships are defined as well as a variety of attributes of each of these database objects. Attributes include table and column descriptions and detailed domain information. The National Soil Information System database also contains a distribution metadata. It records the criteria used for selecting map units and components for inclusion in the set of distributed data. Special features are described in the feature table. It includes an area symbol, feature label, feature name, and feature description for each special and ad hoc feature in the survey area. Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Agricultural Handbook 436, 1999, USDA, SCS. Keys to Soil Taxonomy (current issue), USDA, SCS. National Soil Survey Handbook, Title 430-VI, part 647 (current issue), USDA, NRCS. Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS. dataset EPSG 6.3(9.0.0) 11752 Simple FALSE 11752 TRUE FALSE