Land Use Land Cover Northwest Florida Water Management District 2004

Metadata also available as

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
Florida Department of Environmental Protection, Division of Environmental Assessment and Restoration, Bureau of Watershed Restoration, Watershed Data Services Section, GIS Subsection
Publication_Date: 20090304
Title:
Land Use Land Cover Northwest Florida Water Management District 2004
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: <http://www.dep.state.fl.us/gis/datadir.htm>
Description:
Abstract:
This dataset, created by the Florida Department of Environmental Protection's Bureau of Watershed Restoration, is an inventory of Land Use and Land Cover classified in the State of Florida's Northwest Florida Water Management District and is based on 2004 Digital Ortho Quarter Quad Aerial Imagery program Color Infrared and 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result, at the time of this layer's creation, existing land use - land cover layers for the Northwest Florida area were out-of-date. A more current layer was needed to improve the accuracy of these analyses.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20031201
Ending_Date: 20040301
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 Cover
Theme_Keyword: LULC
Theme_Keyword: Land Use Land Cover
Theme_Keyword: Planning and Development
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Florida
Place_Keyword: Northwest Florida
Place_Keyword: Northwest Florida Water Management District
Place_Keyword: Florida Panhandle
Place_Keyword: NWFWMD
Temporal:
Temporal_Keyword_Thesaurus: none
Temporal_Keyword: 2004
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_Person_Primary:
Contact_Person: Joseph North
Contact_Organization: Florida Department of Environmental Protection
Contact_Position: Environmental Manager
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:
FDEP provided the data and metadata. FWRI edited the metadata to include processing done by FWRI.
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; 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 merging the FWC's 2007 shoreline SDE layer and the boundaries of the NWFWMD as defined by FDEP's SDE.BASE_WATER_MGMT_AREAS
Process_Step:
Process_Description:
This large polygon was subdivided to allow the unique assignment of smaller areas to each photo interpreter. Subdivisions were based on a number of long linear features that were themselves classification types. This effectively reduced the amount of edge matching that would have to take place when subdivided polygons were stitched back together. These classes included; Streams and Waterways, Electrical Power Transmission Lines, Railroads, Highways.
Process_Step:
Process_Description:
Individual photo interpreters assigned areas and work began by cutting polygons from the existing framework polygons according to areas of homogenous Land Use/ Land Cover
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:
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:
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 9 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. 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:
Data for a new layer received from WRM and inserted in ArcSDE. Data published in DataCatalog, DataMiner and MapDirect.
Process_Date: 20090313
Process_Step:
Process_Description:
FWRI downloaded the data from FDEP's web site and projected it to NAD83 datum. Data were loaded into ArcSDE.
Process_Date: 20090326

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 261147

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 24.000000
Standard_Parallel: 31.500000
Longitude_of_Central_Meridian: -84.000000
Latitude_of_Projection_Origin: 24.000000
False_Easting: 400000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000109
Ordinate_Resolution: 0.000109
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.FWC.landuse_nwfwmd_2004_poly
Attribute:
Attribute_Label: OBJECTID_1
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: LANDUSE_CO
Attribute:
Attribute_Label: SECONDARY1
Attribute:
Attribute_Label: LANDUSE_DE
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: 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: SHAPE.AREA
Attribute_Definition: Area of the feature in sq. meters
Attribute_Definition_Source: ESRI
Attribute:
Attribute_Label: SHAPE.LEN
Attribute_Definition: Length of the feature in meters.
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: Live Data and Maps
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 240.768

Metadata_Reference_Information:
Metadata_Date: 20100922
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Florida Department of Environmental Protection (FDEP) OTIS/GIS
Contact_Address:
Address_Type: mailing and physical address
Address: 2600 Blair Stone Rd
Address: MS 6520
City: Tallahassee
State_or_Province: FL
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

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