20240617
14524300
1.0
FALSE
Infrastructure_Damage_Threats_Basic_Helene_Clipped
002
75849.535700
776312.955000
76002.383000
747381.100500
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_Web_Mercator_Auxiliary_Sphere
20260216
02441600
20260216
02441600
150000000
5000
FGDC
dataset
U.S. Army Corps of Engineers (USACE)
202-761-0011
441 G Street NW
Washington
DC
20314-1000
US
20260216
ArcGIS Metadata
1.0
0.000
Florida Geographic Data Library (FGDL)
431 Architecture PO Box 115706
Web site: http://www.fgdl.org
Gainesville
FL
32611-5706
US
None
DOWNLOADABLE DATA
https://www.fgdl.org/
File Geodatabase Feature Class
HELENE_ValView_Infrastructure_Damage_Threats
2024-02-22T00:00:00
U.S. Army Corps of Engineers
U.S. Army Corps of Engineers (USACE)
Washington DC
vector digital data
State of Florida
<div style='text-align:Left;'><div><div><p><span>This dataset contains mitigation bank and in-lieu fee program sites in Florida from the US Army Corps of Engineers Regulatory In-lieu Fee and Bank Information Tracking System (RIBITS). A mitigation bank is a site where resources (e.g., wetlands, streams, riparian areas) are restored, established, enhanced, and/or preserved for the purpose of providing compensatory mitigation for impacts authorized by Department of the Army permits. The U.S. Army Corps of Engineers regulates resources like wetlands and streams under Section 404 of the Clean Water Act and in some cases Section 10 of the Rivers and Harbors Act. The measure of aquatic functions is based on the resources restored, established, enhanced, or preserved. An in-lieu fee program involves the restoration, establishment, enhancement, and/or preservation through funds paid to a governmental or non-profit natural resources management program sponsor to satisfy compensatory mitigation requirements under Department of the Army permits. Funds are often received by the in-lieu fee program sponsor prior to undertaking compensatory mitigation projects. In lieu fee programs can involve multiple mitigation project sites.</span></p></div></div></div>
RIBITS (Regulatory In lieu fee and Bank Information Tracking System) was developed by the U.S. Army Corps of Engineers with support from the Environmental Protection Agency, the U.S. Fish and Wildlife Service, the Federal Highway Administration, and NOAA Fisheries to provide better information on mitigation and conservation banking and in-lieu fee programs across the country. RIBITS allows users to access information on the types and numbers of mitigation and conservation bank and in-lieu fee program sites, associated documents, mitigation credit availability, service areas, as well information on national and local policies and procedures that affect mitigation and conservation bank and in-lieu fee program development and operation.
U.S. Army Corps of Engineers
U.S. Army Corps of Engineers (USACE)
202-761-0011
441 G Street NW
Washington
DC
20314-1000
US
FL
inlandWaters
environment
ISO 19115 Topic Categories
environment
inlandWaters
inlandWaters
environment
environment
inlandWaters
FL
The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. 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.
U.S. Army Corps of Engineers: https://www.usace.army.mil/ Regulatory In-lieu Fee and Bank Information Tracking System: https://ribits.usace.army.mil
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450
true
-87.386619
-80.068748
30.734352
24.634717
0.000000
0.000000
publication date
2024-02-22T00:00:00
0.000000
0.000000
A mitigation bank is an aquatic resource area that has been restored, created, enhanced, or (in exceptional circumstances) preserved, which is then set aside to compensate for future impacts to aquatic resources for development activities. A mitigation bank may be created when a government agency, a corporation, or a nonprofit organization undertakes such activities under a formal agreement with a regulatory agency. The value of a bank is determined by quantifying the functions or area restored or created in terms of "credits." Benefits of Mitigation Banking:
* Banking can provide more cost-effective mitigation and reduce uncertainty and delays for qualified projects, especially when the project is associated with a comprehensive planning effort. * Successful mitigation can be ensured since the aquatic resource can be functional in advance of project impacts. * Banking eliminates the temporal losses of aquatic resource functions that typically occur when mitigation is initiated during or after the development impacts occur * Consolidation of numerous small, isolated or fragmented mitigation projects into a single large parcel may have greater ecological benefit. * A mitigation bank can bring scientific and planning expertise and financial resources together, thereby increasing the likelihood of success in a way not practical for individual mitigation efforts.
1
-87.386619
-80.068748
30.734352
24.634717
GeoPlan Center Process Steps: Mitigation bank and ILF site data was downloaded from RIBITS on June 17, 2024. Download Instructions:
1. https://ribits.ops.usace.army.mil/
2. MENU > [Under the Mitigation header] Banks & Sites
3. Actions > Select Columns: Add all columns to "Display in Report" window
4. Actions > Filter: State Abbrev List contains 'FL'
5. Actions > Download: As CSV
6. After making the selections above, download Footprint KML file from the Google Map window. [Bank Location is automatically selected. Deselect and choose Footprint instead to get polygons.]
Downloaded Files: - Banks & Sites.csv (199 records)
- BANK_AND_SITE_DOWNLOAD.kmz (458 records - 186 unique records)
"BANK_AND_SITE_DOWNLOAD.kmz" was converted from a kmz file to a shapefile. Footprint shapefile was dissolved based on 'Name' field. Resulting shapefile had 186 unique records. Dataset was mapped in the GCS_WGS_84 (EPSG: 4326) projection and then reprojected to FGDL Albers NAD83 HARN (EPSG: 3087).
- Geographic Transformation: WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida
Next, "Banks & Sites.csv" was joined to "BANK_AND_SITE"
via the NAME field. The resulting table join was exported to shapefile.
Field changes from source since previous update: - These following fields contained all null values and were removed: BLM Permit No, Other Permit No
Names Changed in Footprint Attributes for the Join:
*FP ANDL EVERGLADES PHASE I MB -> FP&L EVERGLADES PHASE I MB
*FP ANDL EVERGLADES PHASE II MB -> FP&L EVERGLADES PHASE II MB
*DEVILS SWAMP MB -> DEVIL'S SWAMP MB
*JACKS BRANCH MB -> JACK'S BRANCH MB
Next, "banks_and_ilf_sites" was joined to "RIBITS_BANKS_ILF_KML_footprint"
via the NAME field. The resulting table join was exported to shapefile.
Eleven (13) sites from the csv download had no footprint (polygon) spatial data,
and thus were not included in the final dataset: *BLUE SPRINGS MB [6857]
*CHASSAHOWITZKA MB [6006] *EVERGLADES SCOUTS MB [5736]
*FORT MYERS MITIGATION BANK [6756]
*HATCHINEHA RANCH CONSERVATION BANK PHASE 2 [3526]
*HEATHER ISLAND MB [290]
*ILF KEYS ENVIRONMENTAL RESTORATION FUND [2120]
*ILF-KRF-SHAW TRACT [6363]
*MARION MB [4438]
*NATURAL RESOURCE MB [3272]
*OSPREY UNIT MB [3061]
*RG RESERVE MB [277]
*TWIN OAKS MB [3553]
Field lengths of existing fields were shortened and fields were upcased. The following fields were added to the table: - URL field populated based on the following field calculation: "https://ribits.ops.usace.army.mil/ords/f?p=107:10:::NO::P10_BANK_ID:" + str(!Bank_ID!)
- Added ACRES field (Double) and calculated geometry with US Survey Acres. - Added DESCRIPT field populated based on NAME. - Added FGDLAQDATE field populated based on the date the dataset was downloaded
from the source (6/17/2024)
Finally, the file was renamed ribits_2024
2024-06-17T00:00:00
GeoPlan
Spatial and Attribute Information
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
GeoPlan relied on the integrity of the attribute information within the original data.
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.
0
0
EPSG
6.18.3(9.3.1.2)
RIBITS_2024
RIBITS_2024
USACE
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Shape
Geometry
0
0
0
Threat_Gen
Threat_Gen
String
255
0
0
Threat_Detail
Threat_Detail
String
255
0
0
Specifics
Specifics
String
255
0
0
Orig_Buff
Orig_Buff
String
255
0
0
SHAPE_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
SHAPE_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.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Simple
FALSE
0
TRUE
FALSE