Photo interpretation was conducted using the 2011 and 2014 imagery to detect any changes in land use during that time. The 2014 Land Use/Land Cover mapping standards remained the same as last year: 1) it must fit feature boundaries at a scale of 1:12,000, 2) a minimum mapping unit of .5 acres for wetlands and 3) a minimum mapping unit of 5 acres for uplands. The FDOT's Florida Land Use, Cover and Forms Classification System (FLUCCS) was used to classify all features. The Photo Interpretation Key for Land Use Classification was used as a guideline for identifying various land use types and in updating the feature class Ancillary data sources were fully used to ensure proper delineation of land use/cover features. These data sources included: 1984, 1990, 1994/1995 color infrared aerial photography; 1990 and 1995, 2004 and 2005 land use/cover, National Wetlands Inventory 1:24,000 maps, NRCS county soil surveys, District-wide parcels, WUP and ERP Permits, Dual Maps, Elevation data such as county DEMs or LiDAR LAS Points, Cooperative Land Cover (CLC) statewide land use, and SWFWMD aerial mapping sheets. Any features that could not be reliably interpreted were field reviewed.
Quality control (QC) was performed on the data both during editing and after the data was completely updated. Several checks are designed to validate topology, and attributes are tested for accuracy. Specific QC checks included removing slivers and sharp angles, correcting FLUCS code numbers, performing edge-matching, and perform the geoprocessing intersect process to validate edits made.
Versioning and disconnected editing functions were implemented for the digital update process. From the default SDE version of the 2014 land use data, a QC1 version was created. From the QC1 version, disconnected edit versions were created by each editor covering smaller areas/tiles. Edits were performed on the editor version and when finished it was checked back in to the QC1 SDE version. Any conflicts between QC1 and editors' versions were resolved by accepting the edit changes or keeping the original line work in QC1. Conflicts were looked at manually to determine which line work to keep. QC1 was subsequently reconciled to Default. Conflicts, if any, were resolved. All children versions were deleted, and the database was compressed. QC1 was re-created and the process continued until the district wide update was complete. Land use and land cover features were delineated, on screen, using the 2014 1ft digital aerial photographs as a back drop. Edits were made, using heads-up digitizing in ArcMap, on the feature class in the personal geodatabase created with the disconnected edit function. Line work and labels were added, deleted or reshaped on screen. Topology Rules, no overlaps and no gaps, were created and verified on the personal geodatabase.
The 2011 Land Use/Classification dataset was used as the base starting point. The 2011 feature class (fc) was copied and renamed to 2014 in a versioned SDE database instance.
Incomplete dataaset copied for internal use. There are 26 new FLUCCS codes added in 2014, compared to the 2011 LULC.Sarasota and DeSoto Counties were incomplete. Charlotte County was not updated at the time of this release.
Metadat imported AND UPDATED
An independent accuracy assessment was conducted on level two FLUCCS codes by Avineon Inc. The purpose of this assessment was to assign a measure of validity to the product that will allow users to understand the reliability of the data and assist them in determining how they may best use it. The data had an overall rating of 94.9%, well above the goal of 85%. Of the 39 FLUCCS codes evaluated, only five did not meet the 85% accuracy threshold. They were as follows: LULC LEV2- 21, 64, 23, 26, 74. The issues identified by the consultant were edited and corrected February 2019.” To receive a copy of this report, contact the Mapping and GIS section, and request the document titled “SWFWMD 2014 LULC Accuracy Assessment 01292019.pdf.”