Kelly A. Murphy
Kimberly K. Yates
20210628
Crocker Reef, Florida, 2017-2018 Seafloor Elevation Stability Models, Maps, and Tables
vector, tabular and raster digital data
Kelly A. Murphy
Kimberly K. Yates
20210628
Crocker Reef, Florida, 2017-2018 Seafloor Elevation Stability Models, Maps, and Tables
Publication
U.S. Geological Survey data release
doi:10.5066/P93998WB
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/P93998WB
The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted research to identify areas of seafloor elevation stability and instability based on elevation changes between the years of 2017 and 2018 at Crocker Reef near Islamorada, Florida (FL), within a 6.11 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Yates and others (2019) derived from an elevation-change analysis between two elevation datasets acquired in 2017 and 2018 using the methods of Yates and others (2017). A seafloor stability threshold was determined for the 2017-2018 Crocker Reef elevation-change dataset based on the vertical uncertainty of the 2017 and 2018 digital elevation models (DEMs). Five stability categories (which include, Stable: 0.0 meters (m) to ±0.24 m or 0.0 m to ±0.49 m; Moderately stable: ±0.25 m to ±0.49 m; Moderately unstable: ±0.50 m to ±0.74 m; Mostly unstable: ±0.75 m to ±0.99 m; and Unstable: ±1.00 m to Max/Min elevation change) were created and used to define levels of stability and instability for each elevation-change value (1,525,339 data points at 2-m horizontal resolution) based on the amount of erosion and accretion during the 2017 to 2018 time period. Seafloor-stability point and triangulated irregular network (TIN) surface models were created at five different elevation-change data resolutions (1st order through 5th order) with each resolution becoming increasingly more detailed. The stability point models were used to determine the level of seafloor stability at seven habitat types found at Crocker Reef. This data release includes ArcGIS map packages containing the binned and color-coded stability point and surface (TIN) models and habitat files; maps of each stability model; and data tables containing stability and elevation-change data for the habitat types. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068.
These data were used to identify areas of seafloor elevation stability and instability, from 2017 to 2018, at Crocker Reef, FL.
20171010
20180315
ground condition
None planned
-80.553526
-80.512006
24.920844
24.891364
USGS Metadata Identifier
USGS:1d486d27-6411-4168-86af-7a2a3c3abb7e
USGS Thesaurus
marine geology
reef ecosystems
coelenterates
sea-floor characteristics
ISO 19115 Topic Category
geoscientificInformation
elevation
oceans
None
seafloor elevation
seafloor erosion
submerged topography
elevation change
seafloor accretion
altimetry
seafloor stability
Global Change Master Directory (GCMD) Science
OCEAN > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH
OCEAN > COASTAL PROCESSES > EROSION
OCEAN > COASTAL PROCESSES > COASTAL ELEVATION
OCEAN > COASTAL PROCESSES > CORAL REEFS
GCMD Providers
DOI/USGS/CMG > COASTAL AND MARINE GEOLOGY, U.S. GEOLOGICAL SURVEY, U.S. DEPARTMENT OF INTERIOR
GCMD Instrument
MBES > MULTIBEAM MAPPING SYSTEM
Geographic Names Information System
Crocker Reef
Florida Keys
Florida
None
Florida Reef Tract
Florida Keys National Marine Sanctuary
None
submerged
seafloor
None
2017-2018
none
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originator of these data in future products or derivative research.
Kimberly K. Yates
Southeast Region: St. Petersburg Coastal and Marine Science Center
Research Oceanographer
mailing and physical
600 4th Street South
St. Petersburg
Florida
33701
United States
727-502-8059
kyates@usgs.gov
Yates, Kimberly K.
Zawada, David G.
Fehr, Zachery W.
Arsenault, Stephanie R.
20190722
Seafloor Elevation Change From 2017 to 2018 at a Subsection of Crocker Reef, Florida Keys—Impacts From Hurricane Irma
U.S. Geological Survey data release
doi:10.5066/P94TY8CT
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/P94TY8CT
Yates, Kimberly K.
Zawada, David G.
Smiley, Nathan A.
Tiling-Range, Ginger
20170420
Divergence of seafloor elevation and sea level rise in coral reef ecosystems
Munich, Germany
Biogeosciences
https://doi.org/10.5194/bg-14-1739-2017
International Hydrographic Organization
2008
IHO Standards for Hydrographic Surveys
4, quai Antoine 1er B.P. 445 - MC 98011 MONACO Cedex Principauté de Monaco
International Hydrographic Bureau
https://www.iho.int/iho_pubs/standard/S-44_5E.pdf
Datasets were visually inspected by USGS staff in Esri ArcGIS Desktop Advanced version 10.6 for identification of data inconsistencies.
Data cover the area specified for this project, without any known issues.
This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record and Yates and others (2019) carefully for additional details.
For the 2017 and 2018 multibeam data used to produce the point dataset, all data were collected and processed to meet or exceed International Hydrographic Organization (IHO) Special Order Standards for positioning and depth (IHO, 2008).
For the 2017 and 2018 multibeam data used to produce the point dataset, all data were collected and processed to meet or exceed International Hydrographic Organization (IHO) Special Order Standards for positioning and depth (IHO, 2008).
Kimberley K. Yates, David G. Zawada, Zachery W. Fehr, and Stephanie R. Arsenault
20190722
Elevation Change From 2017 to 2018 at a Subsection of Crocker Reef, Florida Keys-Impacts from Hurricane Irma
Shapefile
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/P94TY8CT
Elevation-change data
20171010
20180315
ground condition
2017-2018 Crocker Reef elevation-change points
The original elevation-change points containing the calculated elevation change from 2017 to 2018 at Crocker Reef, FL.
Step 1: The original 2017-2018 Crocker Reef elevation-change points (2017_2018_CrockerReef_SeafloorStability_Points shapefile) were processed and published by Yates and others (2019). For more information on the elevation-change data processing steps, source elevation data, and elevation-change points, see Yates and others (2019). Horizontal coordinates are referenced to the Universal Transverse Mercator (UTM) North American Horizontal Datum of 1983 (NAD83) National Spatial Reference System of 2007 (NSRS2007) National Readjustment and vertical coordinates are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B geoid model.
2020
Step 2: An elevation-change surface model was created in Esri ArcGIS Desktop Advanced version 10.6 (ArcMap) using the calculated elevation-change (Diff_m) points from the 2017_2018_CrockerReef_SeafloorStability_Points shapefile and methods of Yates and others (2017). The TIN was created using the “Create TIN (3D Analyst)” tool by specifying the 2017_2018_CrockerReef_SeafloorStability_Points shapefile as the “Input Feature Class”, Diff_m as the “Height Field” and Mass_Points as the “Type”, creating the 2017_2018_CrockerReef_SeafloorStability_TIN file. The 2017_2018_CrockerReef_SeafloorStability_TIN file was delineated using the “Delineate TIN Data Area (3D Analyst)” tool by specifying the 2017_2018_CrockerReef_SeafloorStability_TIN file as the “Input TIN”, a “Maximum Edge Length” of 2.828428 (hypotenuse of a triangle with 2-meter (m) legs) and the “Method” set to ALL. The delineated 2017_2018_CrockerReef_SeafloorStability_TIN was then clipped to the extent of the 2017 and 2018 DEMs using the “Edit TIN (3D Analyst)” tool with the following parameters: “Input TIN”: 2017_2018_CrockerReef_SeafloorStability_TIN file; “Input Features Class”: 2017-2018 geometric intersection footprint; “Height Field”: None; “Tag Field”: None; and “Type”: Hard clip. This step was required to remove unwanted triangles that spanned data gaps in the original DEMs used to generate the 2017_2018_CrockerReef_SeafloorStability_Points shapefile. For information on how to generate a geometric intersection between the 2017 and 2018 DEMs, see Yates and others (2017 and 2019).
2020
Step 3: The 2017_2018_CrockerReef_SeafloorStability_TIN file was classified into five stability categories using a defined stability threshold to identify areas of stability and instability. The stability threshold is the total root mean square error (RMSE) calculated for the 2017-2018 Crocker Reef elevation-change points using the vertical uncertainty of the 2017 and 2018 DEMs. A total RMSE of 0.21 m was calculated and rounded up to create a conservative stability threshold of 0.25 m that was applied to the TIN. See Yates and others (2017) for methods on calculating the RMSE. Based on the specified stability threshold of 0.25 m, the following five stability categories were identified: Stable: 0.0 m to ±0.24 m or 0.0 m to ±0.49 m; Moderately stable: ±0.25 m to ±0.49 m; Moderately unstable: ±0.50 m to ±0.74 m; Mostly unstable: ±0.75 m to ±0.99 m; and Unstable: ±1.00 m to Max/Min elevation change. Category boundaries use the pattern of “lower bound < or = x < upper bound” to avoid inclusion of individual elevation-change values in multiple categories. The categories were assigned based on the absolute value of the elevation-change values. For example, values within ±0.24 m of change were classified as Stable.
2020
Step 4: The 2017_2018_CrockerReef_SeafloorStability_TIN file was opened in ArcMap and the “Layer Properties” window was opened by double clicking the TIN in the “Table of Contents”. Within the “Symbology” tab, “Show: Elevation” was enabled, and “Classification Classes” was set to 10. To specify the bin values, “Classify” was selected within the “Classification” window, and the following “Break Values” were used to classify and bin the elevation-change values into ten classes: -0.994999 (class1); -0.744999 (class 2); -0.494999 (class 3); -0.244999 (class 4); 0 (class 5); 0.244999 (class 6); 0.494999 (class 7); 0.744999 (class 8); 0.994999 (class 9); and maximum positive elevation-change value (class 10). The “Break Values” were based on the 0.25 m stability threshold, with each class increasing in increments of 0.24 m up to ±1 m of change. Classes 4, 5 and 6 represent the stable elevation-change values with no change detected (Stable), classes 1 and 10 represent the unstable elevation-change values with change greater than ±1 m (Unstable), and the remaining classes represent the elevation-change values in between (Moderately stable through Mostly unstable).
2020
Step 5: The color symbology of the classes listed in the “Table of Contents” were changed to represent each stability category. A color gradient of red, gray, and blue shades was applied to the binned TIN to distinguish the stability level of each elevation-change value and distinguish areas of erosion and accretion. Both positive and negative elevation-change values that fell within the Stable category were colored gray. However, red and blue shades were applied to elevation-change values that fell within categories Moderately stable through Unstable to distinguish areas of erosion and accretion. Blue shades were applied to elevation-change values with positive elevation change (accretion) and red shades were applied to elevation-change values with negative elevation change (erosion). Lighter shades indicate the smallest amount of change while darker shades indicate the largest amount of change.
2020
Step 6: Additionally, the 2017-2018 Crocker Reef elevation-change points were classified into the five stability categories. The process was similar to the methods described in steps 3-5; however, the “Break Values” were defined differently because the method for binning points is different than delineating break points for a TIN in ArcMap. The 2017_2018_CrockerReef_SeafloorStability_Points shapefile was opened in ArcMap and the “Layer Properties” window was opened by double clicking the points in the “Table of Contents”. Within the “Symbology” tab, “Show: Quantities” was expanded, “Graduated Colors” was selected, “Value” was set to the attribute containing the elevation-change values (Diff_m) and “Classification Classes” was set to 10. The maximum sample size was reached. To change the sample size, “Classify” was selected within the “Classification” window, and the “Data Sampling” window was opened by selecting “Sampling”. Within the “Data Sampling” window, “Maximum Sample Size” was set to the total number of points, 1,525,339. The following “Break Values” were used to classify and bin the Diff_m values into ten classes: -0.995 (class 1); -0.745 (class 2); -0.495 (class 3); -0.245 (class 4); 0 (class 5); 0.244999 (class 6); 0.494999 (class 7); 0.744999 (class 8); 0.994999 (class 9); and max positive Diff_m value (class 10). The remaining steps to change the color symbology are the same as described in step 5.
2020
Step 7: The above process steps were repeated four times using different stability categories to represent a total of five different resolutions of elevation-change stability maps. The same color scheme was used for each resolution map. The above stability categories and “Break Values” described in Steps 3-6 represent the highest resolution map, 5th order. The remaining four resolutions of maps (1st through 4th order) required different “Break Values” and stability category ranges. The specific parameters for each resolution map are described in steps 8 through 11.
2020
Step 8: The 4th order resolution map was generated for the 2017_2018_CrockerReef_SeafloorStability_TIN file using the following eight “Break Values”: -0.744999, -0.494999, -0.244999, 0, 0.244999, 0.494999, 0.744999, and max positive elevation-change value. The following eight “Break Values” were used for the 2017_2018_CrockerReef_SeafloorStability_Points shapefile: -0.745, -0.495, -0.245, 0, 0.244999, 0.494999, 0.744999, and max Diff_m value. The four associated stability categories for both are as follows: Stable: 0.0 m to ±0.24 m, Moderately stable: ±0.25 m to ±0.49 m, Moderately unstable: ±0.50 m to ±0.74 m, Unstable: ±0.75 m to Max/Min elevation change. The 4th order resolution maps combine the Mostly unstable values into the Unstable category.
2020
Step 9: The 3rd order resolution map was generated for the 2017_2018_CrockerReef_SeafloorStability_TIN file using the following six “Break Values”: -0.494999, -0.244999, 0, 0.244999, 0.494999, and max positive elevation-change value. The following six “Break Values” were used for the 2017_2018_CrockerReef_SeafloorStability_Points shapefile: -0.495, -0.245, 0, 0.244999, 0.494999, and max positive Diff_m value. The three associated stability categories for both are as follows: Stable: 0.0 m to ±0.24 m, Moderately stable: ±0.25 m to ±0.49 m, Unstable: ±0.50 m to Max/Min elevation change. The 3rd order resolution maps combine the Moderately unstable and Mostly unstable values into the Unstable category.
2020
Step 10: The 2nd order resolution map was generated for the 2017_2018_CrockerReef_SeafloorStability_TIN file using the following three “Break Values”: -0.494999, 0.494999, and max positive elevation-change value. The following three “Break Values” were used for the 2017_2018_CrockerReef_SeafloorStability_Points shapefile: -0.495, 0.494999, and max positive Diff_m value. The two associated stability categories for both are as follows: Stable: 0.0 m to ±0.49 m and Unstable: ±0.50 m to Max/Min elevation change. The 2nd order resolution maps combine the Moderately stable values into the Stable category, and the Moderately unstable and Mostly unstable values into the Unstable category.
2020
Step 11: The 1st order resolution map was generated using the same “Break Values” and stability category ranges as the 2nd order resolution map. However, both positive and negative values that fell within the Unstable category were colored dark red regardless of being negative or positive to depict only stable and unstable areas regardless of gain or loss in elevation.
2020
Step 12: Using Microsoft Excel 2016, average elevation changes and standard deviations calculated by the USGS SPCMSC for each habitat found within the 2017-2018 elevation-change points data extent were entered into a table and color coded based on the defined stability colors for each map resolution. For information on how to calculate elevation-change statistics by habitat type, see Yates and others (2017 and 2019).
2020
Step 13: Map packages (.mpk) containing a map document and the data it contains were created for each resolution map. Each map document contains the habitat map and the binned and color coded 2017_2018_CrockerReef_SeafloorStability_Points shapefile and 2017_2018_CrockerReef_SeafloorStability_TIN file. For users that have access to ArcMap, the map packages can be downloaded and opened to display the habitat types and binned points and TIN for each resolution. The individual contents of the map packages are also provided in this data release, including layer files that store the symbology information for each resolution of the seafloor stability points and TIN. The layer files can be applied to the stability points or TIN in ArcMap within the “Symbology” tab of the “Layer Properties” window.
2020
Point
Universal Transverse Mercator
17
0.9996
-81.0
0.0
500000.0
0.0
coordinate pair
0.6096
0.6096
METERS
North American Datum of 1983 National Spatial Reference System (2007)
GRS_1980
6378137.0
298.257222
North American Vertical Datum of 1988 (NAVD88) GEOID12B
0.2
meters
Explicit elevation coordinate included with horizontal coordinates
The detailed attribute descriptions for the stability data tables and maps are provided in the included data dictionaries (StabilityCategories_DataDictionary.pdf, StabilityTables_DataDictionary.pdf, and HabitatTypes_DataDictionary.pdf). These metadata are not complete without these files.
The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.
Kimberly K. Yates
Southeast Region: St. Petersburg Coastal and Marine Science Center
Research Oceanographer
mailing and physical
600 4th Street South
St. Petersburg
FL
33701
United States
727-502-8059
kyates@usgs.gov
Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
JPEG, MPK, SHP, LYR, ADF, CSV, XLSX
none, ArcGIS 10.6, RFC 4180, Microsoft Excel 2016
Joint Photographic Experts Group, Esri map package, Esri point and polygon shapefiles, Esri layer files, Esri TIN, comma-separated values, Excel Microsoft Office Open XML Format Spreadsheet file.
https://coastal.er.usgs.gov/data-release/doi-P93998WB/data/2017_2018_CrockerReef_MapPackages_5Resolutions.zip
https://coastal.er.usgs.gov/data-release/doi-P93998WB/data/2017_2018_CrockerReef_Maps_Point_5Resolutions.zip
https://coastal.er.usgs.gov/data-release/doi-P93998WB/data/2017_2018_CrockerReef_Maps_TIN_5Resolutions.zip
https://coastal.er.usgs.gov/data-release/doi-P93998WB/data/2017_2018_CrockerReef_Tables_5Resolutions.zip
None
Users must have access to Esri ArcGIS Desktop Advanced (ArcMap) version 10.6 or later to open the map packages provided in this data release.
20210521
Kimberly K. Yates
Southeast Region: St. Petersburg Coastal and Marine Science Center
Research Oceanographer
mailing and physical
600 4th Street South
St. Petersburg
Florida
33701
United States
727-502-8059
kyates@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998