Land Use Land Cover Northwest Florida Water Management District 2006-2007

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator:

Florida Department of Environmental Protection's Bureau of Watershed Restoration

Publication_Date: 20100601

Title:

Land Use Land Cover Northwest Florida Water Management District 2006-2007

Geospatial_Data_Presentation_Form: vector digital data

Description:

Abstract:

This dataset, created by the Florida Department of Environmental Protection's Bureau of Watershed Restoration, is an inventory of Land use - Land Cover classified in the State of Florida's Northwest Florida Water Management District and based on 2006 and/or 2007 Florida Ortho Quarter Quad Aerial Imagery Color Infrared or True color photography. Classifications are provided for level 1, 2, 3 and a few level 4 (indicated in Land use and Secondary Code fields) land uses.

Purpose:

Analyses of Land Use - Land Cover GIS information provide environmental scientists an understanding of the relationships between human activities, land surface physiography and water resources. Florida's landscape is quickly changing and as a result, at the time prior to this layer's creation, existing land use - land cover GIS layers for the Northwest Florida Panhandle area were out-of-date. A more current layer was needed to improve the accuracy of these analyses.

Supplemental_Information:

Classifications for the following Counties were based on imagery "flown" on the listed dates; (Escambia , Dec 2006-Jan2007), (Santa Rosa, Nov 2006), (Okaloosa, Feb 2007), (Walton, October 2006), (Holmes, Jan-Mar 2007), (Washington, Jan-Mar 2007), (Bay, Jan-Mar 2007), (Jackson, Jan-Feb 2007), (Calhoun, Jan-Feb 2007), (Gulf, Jan-Feb 2007), (Gadsden, Nov 2006), (Liberty, Nov 2006), (Franklin, Nov-2006), (Leon, Jan 2007), (Wakulla, Jan 2007), (Jefferson, Jan-Feb 2007)

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20061001

Ending_Date: 20070301

Currentness_Reference: ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: As needed

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -87.639228

East_Bounding_Coordinate: -83.771052

North_Bounding_Coordinate: 31.042871

South_Bounding_Coordinate: 29.545455

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: Land Use

Theme_Keyword: Land Use Land Cover

Theme_Keyword: NWFWMD

Place:

Place_Keyword: Florida

Place_Keyword: NWFWMD

Place_Keyword: Northwest Florida Water Management District

Place_Keyword: Northwest Florida

Temporal:

Temporal_Keyword: 2006

Temporal_Keyword: 2007

Access_Constraints: None

Use_Constraints:

This data is intended to be used for general informational and planning purposes, and is not appropriate for legal and/or cadastral purposes

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Florida Department of Environmental Protection

Contact_Person: Joseph North

Contact_Position: Environmental Manager, Land Use - Land Cover Project Manager

Contact_Address:

Address_Type: mailing address

Address: 2600 Blair Stone Road

Address: M.S. 3526

City: Tallahassee

State_or_Province: Florida

Postal_Code: 32399-2400

Country: United States of America

Contact_Voice_Telephone: (850)245-8537

Contact_Facsimile_Telephone: (850)245-7571

Contact_Electronic_Mail_Address: Joe.North@dep.state.fl.us

Hours_of_Service: 8am to 5pm

Data_Set_Credit:

DEP provided the dataand metadata information. FWRI altered the metadata to include processing done by FWRI.

Native_Data_Set_Environment:

Microsoft Windows 2000 Version 5.2 (Build 3790) Service Pack 2; ESRI ArcCatalog 9.3.1.3000

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

Attribute accuracy report: The creation of this layer involves photo interpretation; for this data layer the classification of the land surface into one or two of approximately 170 types. It is the nature of interpretation that it involves the assessment of multiple sources of information, primarily the color, shape, pattern, horizontal size, vertical height, texture and context of features in a photograph and secondarily, information provided in ancillary data layers to arrive at a conclusive attribute assignment. Conclusion is a product of a weights-of-evidence analysis and as compared to direct measurement is subject to larger variability. Several staff were involved in the creation of this layer and an individual's skill at photo interpretation is a known variable among several affecting accuracy. In an effort to improve accuracy and limit variation between photo interpreters skills, the following methods were employed: 1. Sought photo interpreters who had several years of experience. 2. Provided like-training when at all possible 3. Held ongoing field trips to "calibrate" photo features with real world features. 4. Tested photo interpreters and compared results as a qualitative assessment of variation prior to production of the layer 5. Assessed each photo interpreters work weekly to assure compliance with methodological rules 6. Randomly selected classified polygons and made field trips monthly to verify classifications, results were provided to Photo interpreters who made corrections to their work as necessary and "recalibrated" their methodology to account for information gathered during field verifications. Largest variation occurred between 6170: Mixed Wetland Hardwoods and 6300: Wetland Forested Mixed classifications. It is difficult in some instances to distinguish between coniferous signatures and colors reflected from hardwoods that keep their leaves throughout the winter when photographs were flown. It too is labor intensive to accurately determine the proportion of hardwood versus coniferous trees in these mixed classifications when polygons can be quite large and access constraints because of private property postings are numerous so field verifications of these classifications yield information of undeterminable accuracy.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Horizontal accuracy report: Reported Horizontal accuracy is not better than the source imagery upon which this dataset has been developed. Source imagery is USGS's 3.75 minute Digital Ortho Quarter Quad (DOQQ) program imagery which meets National Map Accuracy Standards for products developed at 1:12K scale which specifies that over "90% of well defined points tested must fall within 33 feet" of ground condition and National Aerial Photography Program Standards.

Lineage:

Process_Step:

Process_Description:

A polygon feature class representing the Northwest Florida Water Management District (NWFWMD) area was created by importing NWFWMD 2004 LULC polygons into a file geodatabase with a schema that had been created to specifically capture photointerpretive and QAQC workflow needs

Process_Step:

Process_Description:

An xml export of this geodatabase was provided to OTIS/GIS that in turn converted this dataset into an SDE layer and enabled a versioning environment that allowed four photointerpreters to review, classify attributes, edit and communicate information and a QAQC manager to review and provide substantive feedback to photointerpreters. Versioned Enterprise editing environment was created and managed by Florida Department of Environmental Protection's Office of Information Technology's GIS Section Administrator, Jonathan Watson. The default SDE version (grandparent version) had a single child QA manager version (parent), from this version four photo interpreter (child) versions were created and each of these child versions had one QA (grandchild) version. Daily work began with each individual photo interpreter reconciling their work against their versions parent and resolving any conflicts in effect incorporating any changes that had occurred since previous reconciliation. Weekly, the QA manager reconciled the grandchild version against its parent version. QA was performed on this version and once complete posted to all parent versions.

Process_Step:

Process_Description:

At the end of one week, a Quality Assurance manager reviewed each photo interpreter's work to assure compliance with the following rules: Minimum mapping unit convention (one half acre for the 5000 and 6000 classifications, five acres for the 3000 classifications and two acres for all others), Overuse of level II codes, the need to merge contingent same-coded polygons, dual coding conventions (The 1100 class (Low Density Residential), 1650 Reclaimed Lands, 1730 Military, 1920 Inactive Land with street patterns but without structures and 8340 Sewage Treatment always get a separate and different dual code. The following optionally may be assigned a different dual code value – 1750 Governmental, 1850 Parks and Zoos, 2310 Cattle Feeding Operations, 2320 Poultry Feeding Operations, 2510 Horse Farms, 2520 Dairies, 8350 Solid Waste Disposal, 5300 Reservoirs.) Violations of methodological rules were delivered to photo interpreters in the form of a point feature class with coded domain values defining the nature of the violation.

Process_Step:

Process_Description: Photo Interpreters corrected errors and continued work.

Process_Step:

Process_Description:

Monthly field verifications were performed according to the following steps: 1. All polygons created within the month were numbered 2. List of polygons was delivered to a statistician who selected 6 random numbers and delivered to QA manager 3. These became "anchor" polygons that were selected for field visits 4. Paper maps of anchor and surrounding polygons were created for navigational and field documentation purposes 5. A team of the project manager, one senior and one junior photointerpreter visited each anchor polygon and determined it's "true" classification and the classification of 9 additional polygons in the immediate vicinity of the anchor polygon, this information was captured in an ssf file via Trimble's GeoXT and a photograph. 6. Upon return from field the ssf file was converted to an ESRI point shapefile that was shared with the photointerpreter for the purpose of communicating field verifications. 7. The photo interpreter corrected any work as necessary

Process_Step:

Process_Description: Final QA/QC was performed according to project methodology.

Process_Step:

Process_Description:

Final QA parent version's Edit Polygon feature class was exported to shapefile format. Classification description fields joined to this shapefile's attribute table. Contingent polygons sharing LU_CODE and SECONDARY_CODE field values were merged using DISSOLVE function. Shapefile exported to contain joined fields. Extraneous fields deleted. Individual Level 1, 2 and 3 fields added and calculated according to the following expressions respectively Field = left([LU_CODE],1)*1000 Field = left([LU_CODE],2)*100 Field = left([LU_CODE],3)*10

Process_Step:

Process_Description: Metadata document completed

Process_Date: 20100620

Process_Step:

Process_Description:

Added new layer in ArcSDE and published in DataCatalog, DataMiner and MapDirect.

Process_Date: 20100625

Process_Step:

Process_Description:

FWRI downloaded the data from FDEP, projected to NAD83 Albers and loaded to ArcSDE.

Process_Date: 201011

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Vector

Point_and_Vector_Object_Information:

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.000000

Ordinate_Resolution: 0.000000

Planar_Distance_Units: meters

Geodetic_Model:

Horizontal_Datum_Name: North American Datum of 1983

Ellipsoid_Name: Geodetic Reference System 80

Semi-major_Axis: 6378137.000000

Denominator_of_Flattening_Ratio: 298.257222

Vertical_Coordinate_System_Definition:

Altitude_System_Definition:

Altitude_Resolution: 1.000000

Altitude_Encoding_Method:

Explicit elevation coordinate included with horizontal coordinates

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: GIS_Archive.FWC.landuse_nwfwmd_2006_07_poly

Attribute:

Attribute_Label: OBJECTID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: Esri

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute:

Attribute_Label: SHAPE

Attribute_Definition: Feature geometry.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain: Coordinates defining the features.

Attribute:

Attribute_Label: LANDUSE_DE

Attribute:

Attribute_Label: SECONDARY1

Attribute:

Attribute_Label: LANDUSE_CO

Attribute:

Attribute_Label: SECONDARY2

Attribute:

Attribute_Label: LEVEL_1_LA

Attribute:

Attribute_Label: LEVEL_2_LA

Attribute:

Attribute_Label: LEVEL_3_LA

Attribute:

Attribute_Label: Shape.area

Attribute:

Attribute_Label: Shape.len

Overview_Description:

Entity_and_Attribute_Overview:

Entity and attribute overview: The adopted classification scheme has resulted from the following process: 1. Potential classification types originally taken from Florida Department of Transportations "Florida Land use, cover and forms classification system" 2. Conformity with SJRWMD's classification system was sought whenever possible out of an interest in creating a data layer that would result in a product that was seamless in terms of its geometry and attribution with this contingent area. 3. Bureau of Watershed Restoration, Watershed Assessment Section (WAS) Managers reviewed a preliminary list for the purpose of identifying classification types that contributed to sources of pollution and those that allowed them to identify natural conditions that may have an effect on water quality impairment. This led to the removal of some classification types from the preliminary list to form a WAS wants list. 4. Photo interpreters reviewed the available photography for the purpose of determining which of the WAS wants list could and could not be classified. For example, the resolution of the imagery allowed a photointerpreter to confidently assign the level 3 class code of 2140: Row Crops to a polygon but not of any of the Level 4 codes (see next item). 5. The FLUCC's system is hierarchical; it includes four levels that build in terms of specificity: A Level 1 classification is the most general it is a four digit code in which the first integer in the code is assigned one of eight numbers; 1000 = Urban and Built up class, 2000 = Agricultural, 3000 = Rangeland, 4000 = Upland Forests, 5000 = Water, 6000 = Wetlands, 7000 = Barren Land and 8000 = Transportation, Communications, Utilities. The second integer (and each successive integer) provides a subclassification of a higher specificity. For example 2100 (Level II) Class is Crop and pasture land a subtype of the 2000 Agricultural class, 2150 (Level III) : Field Crops is a specific subtype of the 2100 Crop and pasture land subtype. Further, 2153 (Level iV) is a specific subtype of the 2150 class. Very few level 4 classifications have been chosen. This is so because discernment of the keys to classification for these classes typically require imagery of a higher resolution than our source imagery. The Level 4 designation is indicated in either the Land Use Code or Secondary Code Fields of the attribute table. 6. A few classification types were added to accommodate needs that were specific to the Water Management districts.

Distribution_Information:

Resource_Description: Downloadable Data

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Transfer_Size: 374.128

Metadata_Reference_Information:

Metadata_Date: 20101201

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

Florida Department of Environmental Protection (FDEP) OTIS/GIS Section

Contact_Address:

Address_Type: mailing and physical address

Address: 2600 Blair Stone Rd

Address: MS 6520

City: Tallahassee

State_or_Province: Florida

Postal_Code: 32399-2400

Country: USA

Contact_Electronic_Mail_Address: GIS.Librarian@dep.state.fl.us

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time