Product: This project was designed to acquire and produce QL1 lidar data to support the Florida Division of Emergency Management (FDEM) "Florida Statewide Lidar" initiative. These lidar data are processed Classified LAS 1.4 files, formatted to individual 5000 ft x 5000 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: The proj...

Product: These are Digital Elevation Model (DEM) data for FL Panhandle as part of the required deliverables for the 2018 FL Panhandle Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. This delivery consists of 2859 tiles.

Geographic Extent: Bay, Calhoun, Covington, Decatur, Dixie, Escambia, Franklin...

Complete DEM LiDAR product for the Florida Peninsular LiDAR and Hurricane Michael Supplemental collections. Original 2.5 ft (0.762 m) product resolution. Source resolution files contain flight date attributes for pop-ups. All data collected between November 2018 and April 2020. Additional flight lines feature service available from FL Geographic Information Office website.FloridaGIO.gov

ESCAMBIA: The Light Detection and Ranging (LiDAR) LAS dataset is a survey of select areas within Escambia County, Florida. These data were produced for Dewberry and Davis LLC. The Escambia County LiDAR Survey project area consists of approximately 803 square miles. The LiDAR point cloud was flown at a density sufficient to support a maximum final post spacing of 6 feet for unobscured areas. Land Air mapping acquired 110 flightlines between June 21, 2006 and July 18, 2006. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. The Escambia County LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. Dates of Collection: 20060621-20060718 Contractor: Dewberry and Davis, LLC

SANTA ROSA: LiDAR data collection was performed utilizing a Leica ALS-50 sensor, collecting multiple return x, y, and z data as well as intensity data. LiDAR data was processed to achieve a bare ground surface. LiDAR data was delivered in LAS format. Dates of Collection: 20060112-20060228 Contractor: Photo Science, Inc.

WALTON: LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data of Walton County, Florida, was collected at sub-meter resolution to provide average point spacing of 0.7m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value. No data for Eglin AFB, permission to fly over was ever granted. Dates of Collection: 20060710-11, 19-20, 22-23, 26-29, 20060801, 03, 06-07, 13, 15, 17 Contractor: Sanborn

Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 16,801 individual 1000 m x 1000 m tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary.

Geographic Extent: Bay, Calhoun, Covington, Decatur, Dixie, Escambia, Franklin, Gadsden, Geneva, Grady, Gulf, Holmes, Houston, Jackson, Jefferson, Lafayette, Leon, Liberty, Madison, Okalo...

description: These files contain rasterized topobathy lidar elevations collected after Hurricane Irma. In an effort to provide data as soon as possible, JALBTCX will be sending rolling deliveries of data to the NOAA Office for Coastal Management for the Digital Coast. The total collection area will include the east coast of Florida, the Florida Keys, and Collier County. The data were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The 3-D position data are sub-divided into a series of LAS files, which are tiled into 1-km by 1-km boxes defined by the Military Grid Reference System. In addition to the these topobathy bare earth Digital Elevation Models (DEMs) at a 1 meter grid spacing, the lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6330 DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov. These products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.; abstract: These files contain rasterized topobathy lidar elevations collected after Hurricane Irma. In an effort to provide data as soon as possible, JALBTCX will be sending rolling deliveries of data to the NOAA Office for Coastal Management for the Digital Coast. The total collection area will include the east coast of Florida, the Florida Keys, and Collier County. The data were collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The 3-D position data are sub-divided into a series of LAS files, which are tiled into 1-km by 1-km boxes defined by the Military Grid Reference System. In addition to the these topobathy bare earth Digital Elevation Models (DEMs) at a 1 meter grid spacing, the lidar point data are also available. These data are available for custom download here: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6330 DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov. These products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2007 Florida Division of Emergency Management (FDEM) South Florida lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Index grid for locating and downloading original LAS and DEM datasets from the FL Peninsular and Hx Michael Supplemental LiDAR projects. Dashboard.

REQUIRED: A brief narrative summary of the data set.

Extents for set collections in the FL Peninsular and Hurricane Michael Supplemental LiDAR project collections. Recommended access via the Download Dashboard.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Florida East 2 digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Brevard, Clay, Flagler, Lake, Marion, Orange, Putnam, Seminole, St. Johns, and Volusia Counties. The DEM was produced from the following lidar data sets: 1. 2018 Florida Peninsular FDEM - Brevard 2. 2018 Florida Peninsular FDEM - Clay 3. 2019 Florida Peninsular - Flagler 4. 2018 Florida Peninsular - Lake 5. 2018 Florida Peninsular - Marion 6. 2018 Florida Peninsular FDEM - Orange 7. 2017 City Of Palm Coast, Florida Lidar 8. 2018 Florida Peninsular - Putnam 9. 2018 Florida Peninsular - Seminole 10. 2018 Florida Peninsular FDEM - St. Johns 11. 2017 Upper St Johns River Basin 12. 2018 Florida Peninsular - Volusia The 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 3 meters.

This Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for a coalition of GIS practitioners, including the Florida Division of Emergency Management (FDEM), Florida Water Management Districts, Florida Fish and Wildlife Conservation Commission, Florida Department of Environmental Protection, Army Corps of Engineers Jacksonville District, and other state and federal agencies. The goal for this project is to use the LiDAR data as new elevation inputs for updated SLOSH data grids. The ultimate result is the update of the Regional Hurricane Evacuation Studies (RHES) for the state. The State of Florida Division of Emergency Management LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. This data was collected for a portion of Levy County, Florida from 1 July - August 16 2007. This is a classified lidar data set; bare-earth points (class 2), water returns (class 9), and unclassified data (class 1). The LiDAR data was flown at a density sufficient to support a maximum final post spacing of 4 feet for unobscured areas. A footprint of this data set may be viewed in Google Earth at: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/530/supplemental/FDEM_Lidar_Levy_County.kmz

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ820G system. The data were acquired from 20160721 - 20161121. The data includes topobathy data in an LAS 1.2 format file classified as unclassified (1), noise (7), bathymetric point (26), and submerged object (29) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set may also include lidar intensity values and encoded RGB image values. A digital elevation model was then derived from the lidar points. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Title: Chief, Remote Sensing Division Phone: 240-533-9576

This Light Detection and Ranging (LiDAR) LAS dataset is a survey of inland Okaloosa County, Florida not covered in the 2008 Florida Department of Emergency Management LiDAR initiative. The project area consists of approximately 874 square miles, including a buffer of approximately 50 feet along the edges of the project. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 4.9 feet or 1.5 meters for un-obscured areas. Fugro EarthData, Inc. acquired 49 flight lines in three lifts on February 10, 2008. The data was divided into 5000' by 5000' foot cells that serve as the tiling scheme. LiDAR data collection was performed with a Cessna 310 aircraft, utilizing a Leica ALS50-II MPiA sensor, collecting multiple return x, y, and z data as well as intensity data. LiDAR data was processed to achieve a bare ground surface. LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser range finding, GPS positioning and inertial measurement technologies, LIDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. This data of inland Okaloosa County, Florida, was collected at sufficient resolution to provide a nominal point spacing of 1.5m for collected points. Up to 5 returns were recorded for each pulse in addition to an intensity value. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

Original Data Collection: Dewberry collected 822 square miles of lidar data in Pasco County, Florida. The nominal pulse spacing for this project was 1 point every 0.25 meters or a nominal pulse density of 8 points per square meter. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 6-Building Rooftops, 7-Low Noise, 9-Water...

This Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for a coalition of GIS practitioners, including the Florida Division of Emergency Management (FDEM), Florida Water Management Districts, Florida Fish and Wildlife Conservation Commission, Florida Department of Environmental Protection, Army Corps of Engineers Jacksonville District, and other state and federal agencies. The goal for this project is to use the LiDAR data as new elevation inputs for updated SLOSH data grids. The ultimate result is the update of the Regional Hurricane Evacuation Studies (RHES) for the state. The State of Florida Division of Emergency Management LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. This data was collected for Gulf County, Florida during 9 - 22 July 2007 and covers approximately 650 square miles. This is a classified lidar data set; unclassified data (class 1), bare-earth points (class 2), and water returns (class 9). The LiDAR data was flown at a density sufficient to support a maximum final post spacing of 4 feet for unobscured areas. A footprint of this data set may be viewed in Google Earth at: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/534/supplemental/FDEM_Lidar_Gulf_County.kmz

This Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for a coalition of GIS practitioners, including the Florida Division of Emergency Management (FDEM), Florida Water Management Districts, Florida Fish and Wildlife Conservation Commission, Florida Department of Environmental Protection, Army Corps of Engineers Jacksonville District, and other state and federal agencies. The goal for this project is to use the LiDAR data as new elevation inputs for updated SLOSH data grids. The ultimate result is the update of the Regional Hurricane Evacuation Studies (RHES) for the state. The State of Florida Division of Emergency Management LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. Data were collected for 255 square miles in the eastern portion of Indian River County, Florida from August 24 - 28, 2007. This is a classified lidar data set. The data are classified: 1 = Unclassified, 2 = Ground (Bare Earth), 7 = Noise, 9 = Water and 12 = Overlap. The data was collected at a maximum post spacing of 4 feet in unobscured areas for random point data.

PI: Hilary Swain, Archibold Biological Station, Florida. The survey area consists of a 86 square kilometer polygon south of Lake Placid, Florida. The area of interest covers the Archibold Biological Station (ABS), an NSF funded project, which is located 3 miles south of Lake Placid.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

LIDAR-derived binary (.las) files containing points classified as bare-earth and canopy (first return) were produced for the 2007/2008 Northwest Florida Water Management District - 5 Counties (Calhoun, Holmes, Washington, Jackson and Liberty), Florida lidar mapping project. The files were provided in a scheme of FDEM-derived 5,000 x 5,000 foot (1500 x 1500 meter) tiles. When initially processed, horizontal mapping units were in UTM meters, vertical mapping units are in U.S. survey feet. The total mapping area covers approximately 2102 square miles.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Florida Keys digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Miami-Dade and Monroe Counties. The DEM was produced from the following lidar data sets: 1. 2015 Miami-Dade County, Florida Lidar 2. 2015 NOAA NGS Topobathy Lidar: Dry Tortugas 3. 2018 - 2019 NOAA NGS Topobathy Lidar Hurricane Irma: Miami to Marquesas Key, FL The 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 3 meters.