This DEM includes 10-meter bathymetry for the Florida Gulf of Mexico coast including Bay, Walton, and Gulf Counties.While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.
This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer (www.csc.noaa.gov/slr/viewer). The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas, the WFO DEM was divided into smaller DEMs to ensure more manageable file sizes. This metadata record describes the DEM for the Okaloosa (southern coastal portion only), Walton, Bay, Gulf, Franklin (western portion only), and Wakulla (western portion only) Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Okaloosa (southern coastal portion only), Walton, Bay, Gulf, Franklin (western portion only), and Wakulla (western portion only) counties, that met project specification. This DEM is derived from LiDAR collected for the Northwest Florida Water Management District (NWFWMD) and the Florida Department of Emergency Management (FDEM). Hydrographic breaklines used in the creation of the DEM were obtained from FDEM and Southwest Florida Water Management District (SWFWMD). This DEM is hydro flattened such that water elevations are less than or equal to 0 meters.This DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 5 meters.The NOAA Coastal Services Center has developed high-resolution digital elevation models (DEMs) for use in the Center's Sea Level Rise And Coastal Flooding Impacts internet mapping application. These DEMs serve as source datasets used to derive data to visualize the impacts of inundation resulting from sea level rise along the coastal United States and its territories.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Español:Batimetría de los costas Pacífico y Atlántico de la República de Panamá, digitalizadas del mapa 1:250,000 del IGNTG.English:Bathymetry of the Pacific and Atlantic coasts of the Republic of Panama, digitized from IGNTG's 1: 250,000 map.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Digital Object Identifier: 10.25573/data.11919276The Isthmus of Panama is a narrow strip of land that connects the continents of North and South America and separates the Atlantic (Caribbean) and Pacific oceans. It is rich in native biodiversity, with tropical rain and cloud forests, island archipelagos, coral reefs, mangrove and estuarine ecosystems.In this study our aim is to model how post-glacial sea-level rise changed the land- and sea-scapes of the Isthmus of Panama. This helps provide more precise historical context to better understand modern biogeographical patterns of both terrestrial and marine ecosystems on the Isthmus. In collaboration with the GIS unit at the Smithsonian Tropical Research Institute we combined bathymetric and topographic data with historical sea level data of the Western Atlantic and Tropical Eastern Pacific to produce digital elevation models, maps, and animated videos showing the changing land and sea-scapes of the Isthmus through time.A more detailed description of the project and methods can be found here: https://storymaps.arcgis.com/stories/1d730fe1f6e443eab423a5aeea51dfb9Aaron O'Dea Lab - Max TitcombSmithsonian Tropical Research InstituteReferences: O’Dea A, Aguilera O, Aubry M-P, Berggren WA, Budd AF, Cione AL, Coates AG, Collins LS, Coppard SE, Cozzuol MA, de Queiroz A, Duque-Caro H, Eytan RI, Farris DW, Finnegan S, Gasparini GM, Grossman EL, Johnson KG, Keigwin LD, Knowlton N, Leigh EG, Leonard-Pingel JS, Lessios HA, Marko PB, Norris RD, Rachello-Dolmen PG, Restrepo-Moreno SA, Soibelzon E, Soibelzon L, Stallard RF, Todd JA, Vermeij GJ, Woodburne MO, Jackson JBC. 2016. Formation of the Isthmus of Panama. Science Advances. e1600883.Kenneth G. Miller, Michelle A. Kominz, James V. Browning, James D. Wright, Gregory S. Mountain, Miriam E. Katz, Peter J. Sugarman, Benjamin S. Cramer, Nicholas Christie-Blick, Stephen F. Pekar. 2005. The Phanerozoic Record of Global Sea-Level Change. SCIENCE. 10.1126/science.1116412Redwood, S. D. 2020. Late Pleistocene to Holocene sea level rise in the Gulf of Panama, Panama, and its influence on early human migration through the Isthmus. Caribbean Journal of Earth Science, 51, 15-31. Geological Society of Jamaica. http://caribjes.com/CJESpdf/CJES51-3-RedwoodPanamaSealevel.pdf
NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions in the Gulf of Mexico. These integrated bathymetric-topographic DEMs were developed for NOAA Coast Survey Development Laboratory (CSDL) through the American Recovery and Reinvestment Act (ARRA) of 2009 to evaluate the utility of the Vertical Datum Transformation tool (VDatum), developed jointly by NOAA's Office of Coast Survey (OCS), National Geodetic Survey (NGS), and Center for Operational Oceanographic Products and Services (CO-OPS). Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. Coastal Services Center (CSC), the U.S. Office of Coast Survey (OCS), the U.S. Army Corps of Engineers (USACE), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of North American Datum of 1983 (NAD 83). Grid spacings for both DEMs are 1/3 arc-second (~10 meters).
NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and modeling efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
Lisa Addington produced this GIS database for the Bocas del Toro Province. The project was funded by Smithsonian Tropical Research Institute. If you use this map in a publication we would appreciate it if you would mention it in the acknowledgements.For questions on the distribution of this c.d. please contact Rachel Collin, director of the Bocas del Toro STRI station.For further questions about the maps my e-mail address is lisa_addington@yahoo.comYou can see a live map version here: Bocas Bathymetry Webmap
This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found
This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found
This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found
NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions in the Gulf of Mexico. These integrated bathymetric-topographic DEMs were developed for NOAA Coast Survey Development Laboratory (CSDL) through the American Recovery and Reinvestment Act (ARRA) of 2009 to evaluate the utility of the Vertical Datum Transformation tool (VDatum), developed jointly by NOAA's Office of Coast Survey (OCS), National Geodetic Survey (NGS), and Center for Operational Oceanographic Products and Services (CO-OPS). Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. Coastal Services Center (CSC), the U.S. Office of Coast Survey (OCS), the U.S. Army Corps of Engineers (USACE), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of North American Datum of 1983 (NAD 83). Grid spacings for both DEMs are 1/3 arc-second (~10 meters).
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found at https://maps.ngdc.noaa.gov/viewers/bathymetry/
A zone of deep-water reefs is thought to extend from the mid and outer shelf south of Mississippi and Alabama to at least the northwestern Florida shelf off Panama City, Florida. Reefs off Mississippi and Alabama are found in water depths of 60 to 120 m (Ludwick and Walton, 1957, Gardner et al., in press) and were the focus of a multibeam echosounder mapping survey by the U.S. Geological Survey (USGS) in 2000 (Gardner et al., 2000, in press). It is critical to determine the accurate geomorphology and type of the reefs that occur because of their importance as benthic habitats for fisheries. These data are ArcInfo GRID and XYZ ASCII format data generated from a U.S. Geological Survey multibeam sonar survey of the West Florida Shelf, Gulf of Mexico. The data include high-resolution bathymetry and calibrated acoustic backscatter. File types include arc files .dat, .nit, and .adf. Documentation is included as metadata .txt files. Because the area is so large (i.e., the file sizes are very large), the area was subdivided into North, Central, and South regions as reflected in the data subdirectories for this accession.
This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found
This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found
The data used to create the bathymetric maps were digitized from two sources: charts from the UK Hydrographic Office and the Instituto Geográfico Nacional Tommy Guardia based out of Panama City, Panama. The UK Hydrographic office maps contained bathymetric points collected from 1982 to 1990 by the US and Colombian Governments. The Tomas Guardia maps contained bathymetric points that were collected in U.S. Navy surveys up until 1979. For the entire Panama sea level model the maps used were at a scale of 1:300,000. For each of the smaller localities such as Coiba and Bocas del Toro, the maps used were of a 1:50,000 to 1:80,049 scale as indicated below each animation. The historical maps utilize mostly the horizontal datum of NAD27, some using the more recent WGS 1984 UTM Zone 17N. The final digitized products contain DEM's projected to the horizontal datum WGS 1984 Web Mercator Auxiliary Sphere. The original bathymetric points had plotted soundings in both fathoms and meters, using mean low water springs as reference. These points were all converted to meters when digitized.For more information, see the Post-glacial Sea Level rise on the Isthmus of Panama story map.
This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found
description: This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found at https://maps.ngdc.noaa.gov/viewers/bathymetry/; abstract: This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found at https://maps.ngdc.noaa.gov/viewers/bathymetry/
description: This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found at https://maps.ngdc.noaa.gov/viewers/bathymetry/; abstract: This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found at https://maps.ngdc.noaa.gov/viewers/bathymetry/
As part of the Coastal Sediment Availability and Flux and Defense Advanced Research Protection Agency (DARPA) Reefense projects, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a nearshore geophysical survey to map back-barrier and lagoonal areas, as well as characterizing stratigraphy near Panama City, Florida (FL) in June 2022. The purpose of this study was to conduct a geologic assessment (including bathymetric mapping) of the environs near Panama City, FL, in support of efforts to construct an artificial, living oyster reef near Tyndall Air Force Base. This publication serves as an archive of high-resolution chirp subbottom trace data, survey trackline map, navigation files, geographic information system (GIS) data, and formal Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM). Processed subbottom profile images are also provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y revision 0 format (Barry and others, 1975). In addition to this data release, the SEG-Y files can be downloaded from the USGS Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov.
This DEM includes 10-meter bathymetry for the Florida Gulf of Mexico coast including Bay, Walton, and Gulf Counties.While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.