FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION VERSION 2006 TITLE: FLORIDA'S ENVIRONMENTALLY SENSITIVE SHORELINES Geodataset Name: SENSHR_AUG03 Geodataset Type: SHAPEFILE Geodataset Feature: Polyline Feature Count: 51395 |
|
GENERAL DESCRIPTION:
|
|
DATA SOURCE(S): Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute, Research Planning, Inc. SCALE OF ORIGINAL SOURCE MAPS: Unknown DATE OF AUTOMATION OF SOURCE: 200308 GEODATASET EXTENT: State of Florida |
FEATURE ATTRIBUTE TABLES:
Datafile Name: SENSHR_AUG03.DBF
ITEM NAME | WIDTH | TYPE | N. DECIMAL DEGREES |
OBJECTID
|
4 | OID | --- |
ESI
|
10 | String | --- |
LINE
|
1 | String | --- |
ENVIR
|
1 | String | --- |
MANGROVE
|
1 | String | --- |
VER_NEED
|
1 | String | --- |
VER_DATE
|
10 | String | --- |
G_SOURCE
|
6 | Number | --- |
A_SOURCE
|
6 | Number | --- |
DESC_
|
250 | String | --- |
CASE_
|
19 | Number | 5 |
FREQUENCY
|
19 | Number | 5 |
SHRT_DESC
|
254 | String | --- |
MOST_SENS
|
16 | String | --- |
MSTSENDES
|
150 | String | --- |
DESCRIPT
|
254 | String | --- |
FGDLAQDATE
|
8 | Date | --- |
SHAPE
|
4 | Geometry | --- |
AUTOID
|
4 | Integer | --- |
SHAPE.LEN
|
0 | Double | --- |
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
Item | Item Description | |
OBJECTID |
Internal feature number. |
|
ESI |
The item ESI contains values representing the ESI shoreline type (shoreline habitat type). In many cases shorelines are ranked with multiple codes such as 6B/3A (listed landward to seaward from left to right). The first number is the most landward shoreline type, riprap, with fine- to medium-grained sand beaches being the shoreline type closest to the water. Singular shoreline types are listed below. No multiple codes are listed, but all multiple codes included in the data set can be assembled from the codes described.
|
|
LINE |
Type of geographic feature
|
|
ENVIR |
Regional environment
|
|
MANGROVE |
Refers to whether the arc is a mangrove
|
|
VER_NEED |
Refers to whether field verification is needed
|
|
VER_DATE |
Date of field verifica |
|
G_SOURCE |
Geographic source integer identifier that links records in ESI.AAT to records in the SOURCES data table. |
|
A_SOURCE |
Attribute source integer identifier that links records in ESI.AAT to records in the SOURCES data table. |
|
DESC_ |
Frequency of arcs with a given ESI value (complex) |
|
CASE_ |
ESI numerical/alpha value of the most oil spill sensitive shoreline type for any given arc regardless of landward or seaward orientation. |
|
FREQUENCY |
Verbal short description of most oil spill sensitive shoreline type |
|
SHRT_DESC |
A textual description of all shoreline types represented by the arc. |
|
MOST_SENS |
ESI code representing the most sensitive habitat type present for a given segment of shoreline. This is biased towards alphabetical order for segments where two habitats of equal sensitivity are present. For example, for an ESI of 10A/10B, the MOST_SENS value is 10A. |
|
MSTSENDES |
Textual description of the most sensitive habitat type. |
|
DESCRIPT |
FGDL added field based on SHRT_DESC |
|
FGDLAQDATE |
FGDL added field based on date received from source. |
|
SHAPE |
Feature geometry. |
|
AUTOID |
FGDL Unique ID |
|
SHAPE.LEN |
No description |
The original ESI shoreline classification and a series of data updates and conversions were completed under previous programs and contracts. In this project, a new shoreline was developed from recent Land Use/Land Cover (LULC) data provided by the five state Water Management Districts (WMDs). The ESI shoreline habitat classifications were updated using the previous classification, LULC data, and interpretation of Digital Orthophoto Quarter Quads (DOQQs), field verification, and other supporting information. Updates were made using current attributing standards and checked for completeness and topological and logical consistency. ESI GT-polygon data for wetlands were also added to the data set using recent LULC data. To finalize the data checking process, each data layer was checked using standardized forms by two GIS personnel (a technician and the GIS manager), and each attribute database was checked using several programs which test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies (such as dangles, unnecessary nodes, etc.), and MICROSOFT SQL SERVER(r) to ARC/INFO(r) consistencies. |
The coastal ESI shoreline was updated during this project to the inland extent of the original ESI classification and the limit of marine and coastal waters represented as polygons in the LULC data provided by the WMDs (e.g., Atlantic Ocean, Gulf of Mexico, bays and estuaries, lower sections of coastal rivers and larger creeks, etc.). In addition, the Lower St. Johns River was updated upstream to just beyond Lake Monroe and the town of Sanford, Florida. ESI polygons and hydrography were updated to roughly 10 miles inland of the ESI shoreline. The updated shoreline position and classification was based primarily on the interpretation of LULC data, DOQQs, the previous existing classification, and the ESI expertise of coastal geologists, biologists, and GIS analysts. This update did include limited field verification, which is recommended for the entire study area. A special attribute field was used to indicate specific shoreline segments or sections of coast of highest priority for field verification. |
GeoPlan relied on the integrity of the attribute information within the original data. |
This GIS data set comprises an update to the shoreline habitat component of the Environmental Sensitivity Index (ESI) and Gulf-Wide Information System (G-WIS) databases for the coastal zone of Florida, including the lower St. Johns River. The ESI and G-WIS data suites characterize coastal habitats and resources for environmental planning and natural resource management purposes, including oil spill planning and response. The ESI and G-WIS data include three main components: shoreline habitats, sensitive biological resources, and human-use resources. The data layer described in this document contains the linear ESI (complete chains) shoreline habitat classification. See also the separate ESIP (GT-polygon) layer for polygonal ESI habitat features. The attribute table for these data has been expanded to include an easier to interpret ESI shoreline description and classification system for use in the Florida Marine Spill Analysis System (FMSAS) map legends and products. The original DESC (Detailed shoreline classification verbal description) field has been simplified into the SHRTDESC field (shorter verbal description) in order to fit into the textual "Resources At Risk" report generated by the FMSAS. Additional fields have been added to the attribute table to simplify map symbology and maximize understanding of habitat types for protection by responders. These fields are MOST_SENS (Classification of the most sensitive shoreline type (to oil spills) on any particular arc), and MSTSENDES (Verbal description of the most sensitive shoreline type). A frequency of each arc ESI classification (complex classification) was also generated in this process (FREQUENCY). See Data Lineage for examples of this process. Richard Knudsen - FMSAS Manager, April 2004 Prepared by Research Planning, Inc., Columbia, South Carolina for the Florida Marine Research Institute (FMRI), Florida Fish and Wildlife Conservation Commission (FFWCC), St. Petersburg, Florida The data layer ESI contains arcs (complete chains) representing the shoreline attributed with a habitat and oil spill sensitivity classification system described in NOAA (2002), Environmental Sensitivity Index Guidelines, Version 3.0, NOAA Technical Memorandum NOS OR&R 11, Seattle, Wa., 89 pp + appendices. |
The ESI and G-WIS data provide sensitive areas data for oil spill planning and response and other environmental management and natural resource purposes. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive areas. These data also support other related state and federal regulatory requirements for oil spill prevention, planning, response, and restoration. |
The ESI shoreline position is primarily based on the recent LULC data provided by the state WMDs, updated in places using recent DOQQs. The overall positional accuracy of the shoreline is therefore similar to the positional accuracy of the primary source materials, which may vary by WMD (see lineage below). It is estimated that the positional accuracy of "breaks" between individual ESI shoreline classes is roughly 50-60 meters, based on previous ESI research conducted for NOAA over the last two years. Due to the interpretation of DOQQs as a part of this project, the ESI classification update may exceed this positional accuracy. |
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan |
THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING, MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html |
For more information contact the Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute, GIS data librarian at gislibrarian@myfwc.com http://ocean.floridamarine.org/mrgis/viewer.htm Online ESI atlas's and metadata by region: http://ocean.floridamarine.org/esimaps/ |
The most recent LULC data from the state WMDs were obtained and processed to identify and create shoreline, ESI polygon, and hydrography layers. The shoreline was then attributed with an updated ESI shoreline habitat classification and other attributes (described below) using the pre existing ESI shoreline (from the FL G-WIS data set), LULC data, and on screen photo-interpretation of DOQQs. DOQQs associated with the corresponding LULC data were used during this process (e.g., 1995 DOQQs were used in areas where 1995 LULC data were available). In some cases where the shoreline position derived from the LULC data differed significantly from the shoreline visible on the DOQQs, the shoreline was updated by on screen digitizing or with supplemental shoreline supplied by FMRI. A final quality control check for completeness, topological and logical consistency, rules for geography, and database to geography relationships were checked and validated. Process Date: 200308 |
Projection ALBERS Datum HPGN Units METERS Spheroid GRS1980 1st Standard Parallel 24 0 0.000 2nd Standard Parallel 31 30 0.000 Central Meridian -84 00 0.000 Latitude of Projection's Origin 24 0 0.000 False Easting (meters) 400000.00000 False Northing (meters) 0.00000
DATA SOURCE CONTACT (S):
Name: Abbr. Name: Address: Phone: Web site: E-mail: Contact Person: Phone: E-mail: |
Florida Fish and Wildlife Conservation Commission-Fish and Wildlife Research Institute FWRI 100 Eighth Avenue Southeast St. Petersburg, Florida 33701 727-896-8626 |
Name: FLORIDA GEOGRAPHIC DATA LIBRARY Abbr. Name: FGDL Address: Florida Geographic Data Library 431 Architecture Building PO Box 115706 Gainesville, FL 32611-5706 Web site: http://www.fgdl.org Contact FGDL: Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html