Land Use Land Cover Suwannee River Water Management District Florida 2006 to 2008

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: December 2009

Title:

Land Use Land Cover Suwannee River Water Management District Florida 2006 to 2008

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 Suwannee River Water Management District and based on 2007, 2008 or 2009 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at the time prior to this layer's creation, existing land use - land cover GIS layers for the Suwannee River area were out-of-date.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: (Alachua between 12/17/2007 and 1/2/2008), (Baker 1/25/2008 and 2/2/2008), (Bradford 11/17/2008), (Columbia 12/05/2006 and 12/27/2006), (Dixie 3/06/2007, 3/07/2007 and 3/17/2007), (Gilchrist 10/29/2006), (Hamilton 1/26/2007 and 2/06/2007), (Jefferson 1/26/2007, 2/06/2007 and 2/22/2007), (Lafayette 3/05/2007, 3/06/2007 and 3/17/2007), (Levy between January and March of 2007), (Madison 2/22/2007, 2/27/2007 and 2/28/2007), (Suwannee 3/07/2007, 3/17/2007 and 3/18/2007), (Taylor 10/30/2006, 11/18/2006 and 11/19/2006), (Union 1/09/2007)

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20061029

Ending_Date: 20080202

Currentness_Reference: ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: As needed

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -84.009166

East_Bounding_Coordinate: -82.029993

North_Bounding_Coordinate: 30.660130

South_Bounding_Coordinate: 29.085399

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: Land Use

Theme_Keyword: Land Cover

Theme_Keyword: LULC

Theme_Keyword: Land Use Land Cover

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Florida

Place_Keyword: Suwannee River

Place_Keyword: Suwannee River Water Management District

Place_Keyword: SRWMD

Stratum:

Stratum_Keyword_Thesaurus: None

Temporal:

Temporal_Keyword_Thesaurus: None

Temporal_Keyword: 2006

Temporal_Keyword: 2007

Temporal_Keyword: 2008

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:

FDEP provided the data and metadata. FWRI has altered 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:

The creation of this layer involves photo interpretation; for this data layer the classification of the land surface into one or two of 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 monthly field trips to "calibrate" photo features with real world features. 4. Assessed each photo interpreters work weekly to assure compliance with methodological rules 5. Randomly selected classified polygons and made field trips monthly to verify classifications, results were provided to Photo interpreters
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 limited value.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Reported Horizontal accuracy is not better than the source imagery upon which this dataset has been developed. Source imagery is Florida's Ortho program imagery for a product developed at a 1 foot resolution; that meets or exceeds a verified horizontal accuracy of 7.6 feet at the 95% confidence interval (4.4 feet RMSE) as specified in the FGDC Geospatial Positioning Accuracy Standards, Part 3: National Standard for Spatial Data Accuracy (NSSDA).

Lineage:

Source_Information:

Source_Time_Period_of_Content:

Source_Currentness_Reference: ground condition

Process_Step:

Process_Description:

1. The seed dataset was created by exporting all features of FDEP's SRWMD 2004 Land Use Land Cover SDE layer to a feature class

Process_Date: March 2009

Process_Step:

Process_Description:

2. Geodatabase schema was created allowing for the creation of a polygon edit feature class that contained coded domains for Landuse and Secondary code attributes and a new domain coded field that allowed for a photo interpreter to specify whether an individual polygon had been reviewed by them or not, whether the previously delineated polygon contained an error in the 2004 version or had a change as a result of some anthropogenic or natural activity, a point feature class that captured errors detected by the project's QA manager with coded domains defined for fields that allowed for communication between the QA manager and photo interpreters and a gridded polygon feature class that allowed the project team to track progress.

Process_Date: March 2009

Process_Step:

Process_Description:

3. All features created in step 1 were imported into the geodatabase created in step 2

Process_Date: March 2009

Process_Step:

Process_Description:

4. The Geodatabase resulting from step 3 was copied into a predefined Geodatabase Schema, this was provided to OTIS/GIS and copied into a versioned enterprise Geodatabase (SDE Version 9.1, Oracle 9.2)

Process_Step:

Process_Description:

5. Photo interpreters were assigned areas that they had created in the 2004 version and began the process of reviewing each individual polygon. In cases where no change was apparent in the newer imagery they updated the Status attribute field with a "yes"entry indicating that it had been reviewed. In cases where there was some change apparent, the geometry and attributes of the initial polygon were changed and the Status field attributed with a "change" entry. An "error" entry was indicated in those cases.

Process_Date: March through December 2009

Process_Step:

Process_Description:

6. Each Photo interpreters work was assessed by a Quality Assurance Manager weekly for adherance to minimum mapping unit and other feature capture and attribution guidelines. A point feature class within the database was populated with locations of these violations. Photo interpreters corrected errors and communicated this information back to the QA manager who in turn verified the repairs.

Process_Step:

Process_Description:

7. A random sample was drawn from the population of polygons that had been delineated that month for field verification. The random sample of polygons were referred to as anchor polygons. A field verification team composed of two photo interpreters and the project manager navigated as closely as possible to each anchor polygon and then noted on paper maps of the area the appropriate code that matched field conditions, took photos of each polygon and GPS'ed a point representing the location of each polygon. An arc map project was created for each field trip that joined GPS coordinate, field verified code and hyperlinked photo. This information was compared to the photo interpreters office classification and feedback was provided to them in the form of a shapefile. Photo interpreters adjusted intitial classifications appropriately and reviewed adjacent classifications to assure that like errors were corrected.

Process_Date: March through December 2009

Process_Step:

Process_Description:

8. Individual "framework" polygons that existed between each photointerpreters work were inspected for errors and repaired.

Process_Date: December 2009

Process_Step:

Process_Description:

9. All photointerpreter versions were reconciled and posted to a parent version. A new Geodatabase and feature dataset within were created using FDEP's standard datum and projection. A polygon feature class was created within the new feature dataset by importing all features from the parent version mentioned above.

Process_Date: December 2009

Process_Step:

Process_Description:

10. Topology checks (no Gaps or overlaps) were performed on the entire dataset. No violations found.

Process_Date: December 2009

Process_Step:

Process_Description: 11. Level 1, 2 and 3 fields were added to the dataset.

Process_Date: December 2009

Process_Step:

Process_Description:

12. Symbology was created by loading the 2004 SDE layer into an ArcMap document and then using symbology in this layer to define symbology in the new layer. Layer file exported.

Process_Date: December 2009

Process_Step:

Process_Description:

Added new layer in ArcSDE and published in DataCatalog/DataMiner and MapDirect

Process_Date: 20100105

Process_Step:

Process_Description:

FWRI staff downloaded the data from FDEP, projected to NAD1983 Albers, and loaded to ArcSDE.

Process_Date: 201003

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: 0.000109

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_Archive.FWC.landuse_srwmd_2006_08_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: 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_CO

Attribute:

Attribute_Label: SECONDARY1

Attribute:

Attribute_Label: LEVEL_1_LA

Attribute:

Attribute_Label: LEVEL_2_LA

Attribute:

Attribute_Label: LEVEL_3_LA

Attribute:

Attribute_Label: LANDUSE_DE

Attribute:

Attribute_Label: SECONDARY2

Attribute:

Attribute_Label: SHAPE.area

Attribute:

Attribute_Label: SHAPE.len

Overview_Description:

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: 370.040

Metadata_Reference_Information:

Metadata_Date: 20100922

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

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Access_Constraints: none

Metadata_Use_Constraints: none