gov.noaa.nmfs.inport:64466 eng UTF8 dataset Elevation OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 108330795146 NAD83(2011) / UTM zone 10N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6339/export/?format=gmlurn:ogc:def:crs:EPSG:63396.18.3 2018 FEMA Lidar: Region 9, CA 2019-03-14 publication NOAA/NMFS/EDM 64466 https://www.fisheries.noaa.gov/inport/item/64466 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/supplemental/CA_AZ_FEMA_R9_Lidar_2017_D18_Lidar_Project_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/supplemental/CA_AZ_FEMA_R9_Lidar_2017_D18_VA_Summary_lpc.txt WWW:LINK-1.0-http--link USGS VA Assessment USGS Vertical Accuracy Assessment document. download Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 10,547 square miles across 6 AOIs in California. Dataset Description: The CA-AZ FEMA R9 Lidar lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane California I & IV (FIPS Zone 0401 & 0404), US Survey Feet, and a vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 10,516 individual 4,500-feet x 4,500-feet tiles. Ground Conditions: Lidar was collected in 2018 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 148 ground control points across all California AOIs that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 258 independent accuracy checkpoints (145 NVA points and 113 VVA points), were collected across all California AOIs and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. High quality elevation data products are critical for riverine floodplain study and mapping for the National Flood Insurance Program. This acquisition allows FEMA Region IX to produce floodplain analysis where it is needed, to provide updates to flood insurance rate maps, and to produce floodplain administration decision support tools. FEMA, in administration of the National Flood Insurance Program and under FEMAs Risk Mapping Assessment and Planning (Risk MAP) program, orders these elevation products to meet or exceed the quality specifications published by the US Geological Survey for acceptance into the 3-D Elevation Program (3-DEP). Data of this quality is interpreted as sufficient for floodplain engineering studies, analysis, and mapping of flood hazard. FEMA, USGS, Woolpert The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-05-06 at https://coast.noaa.gov/dataviewer. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/supplemental/extent_femaR9_CA_2018m9269.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR Continent > North America > United States Of America > California > U.S. Coastline United States place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 Continent > North America > United States Of America > California > Monterey County Continent > North America > United States Of America > California > San Benito County place Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-06 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2018 FEMA Lidar: Region 9, CA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/64466. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-06 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-06 from the NOAA system. Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-05-06 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners unclassified 2018 FEMA Lidar DEM: Region 9, CA NOAA/NMFS/EDM 74843 crossReference 2018 FEMA Lidar: Region 9, CA (QL1) NOAA/NMFS/EDM 64465 largerWorkCitation vector eng; US elevation Microsoft Windows 10; Esri ArcCatalog v10.4; Esri ArcMap v10.4; GeoCue 2017.1.14.1; IPAS Pro v1.35; LP360 v2018.1.57.4; Leica CloudPro v1.2.4; Novatel Inertial Explorer v8.60.6129; POSPac Software v5.3; TerraMatch v18; TerraModeler v18; TerraScan v18. -123.00562 -120.19359 34.9635 41.6482 See Project Report for individual AOI collection dates. | Currentness: Ground Condition 2018-01-22 2018-04-21 USGS Contract No. G16PC00022 Task Order No. 140G0218F0027. CONTRACTOR: Woolpert. Sub-Contractors: Aerial Services, Inc. (ASI), Aero-Graphics, Keystone Aerial Surveys. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS NGP Base Specifications v1.2", "ldrsens" : "Optech ALTM Orion H300 (Aero-Graphics)", "ldrmaxnr" : "4", "ldrnps" : "2.03", "ldrdens" : "0.7", "ldranps" : "2.03", "ldradens" : "0.7", "ldrfltht" : "1800", "ldrfltsp" : "110", "ldrscana" : "29", "ldrscanr" : "40.3", "ldrpulsr" : "125", "ldrpulsd" : "3", "ldrpulsw" : "0.9", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "931", "ldrswato" : "30", "ldrgeoid" : "GEOID12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed but not classified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored ground" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }} Zip Zip LAS/LAZ - LASer Zip NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9269/details/9269 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. download dataset Vertical Positional Accuracy This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. The following VA information is from the USGS analysis. More information can be found in the supplemental section of the Bulk Download webpage. The number of Checkpoints tested for LPC NVA : 237 The LPC NVA RMSEz= 5.15 cm The LPC NVA Accuracy z at 95% confidence interval (RMSEz * 1.96) = 10.10 cm The number of checkpoints tested for LPC VVA : 164 The 95th percentile value for LPC VVA is : 22.48 cm Completeness Report These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. Conceptual Consistency Data covers the entire area specified for this project. Lidar Point Cloud Classification: The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge Decks (Class 17) and High Noise (Class 18). The bare-earth (Class 2 Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 1.14 feet was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored ground (Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Woolpert proprietary software and LP360 was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. 2019-03-14T00:00:00 The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/ These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 10,516. The data were in California State Plane Zones I & IV (NAD83 2011), US Survey Feet, coordinates and NAVD88 (Geoid12B) elevations in US Survey Feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from CA State Plane (NAD83 2011) coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time, to filter points below -10 feet and zip the data to database and to http. 2021-03-30T00:00:00 Office for Coastal Management processor Source Contribution: The data extent was created in Esri shapefile format. The shapefile was buffered by 100-meters. It was used in acquisition planning and to clip the final deliverable data. Data extent 2019-03-14 publication Woolpert originator 2019-03-14 Source Contribution: This dataset includes hydro breaklines collected as part of this task order. Hydro Breaklines 2019-03-14 publication Woolpert originator 2019-03-14 Source Contribution: This dataset includes airborne lidar data point cloud data acquired as part of this task order. This data was used to create the required derivative lidar products. Lidar acquisition 2019-03-14 publication Aero-Graphics originator 2018-03-29 Source Contribution: This dataset includes ground control and QA/QC checkpoints collected as part of this task order. These points were used in the calibration and accuracy testing of the lidar point cloud and DEM data. Survey Control Acquisition 2019-03-14 publication Woolpert originator 2018-05-19 2018-07-09 Source Contribution: The tile index was created in Esri shapefile format. The tiles have a size of 4,500-feet x 4,500-feet. Tile names were derived from the x- and y-coordinates of the lower left corner of the tile. This index was used to create the tiled deliverables for this project. Tile index 2019-03-14 publication Woolpert originator 2019-03-14 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-05-06NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor