64504
2018 FEMA Lidar: Region 9, AZ
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2019-07-01
Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.
Geographic Extent: Approximately 10,547 square miles across 11 AOIs in California and Arizona.
Dataset Description: The CA-AZ FEMA R9 Lidar 2017 D18 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 State Plane Arizona Central Zone (FIPS Zone 0202), International Feet (EPSG Code 2223), and a vertical datum of NAVD88 (GEOID12B), International Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 5,100 individual 4,500-feet x 4,500-feet tiles.
Ground Conditions: Lidar was collected on January 6, 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 120 ground control points in the Arizona East AOI that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 146 independent accuracy checkpoints (94 NVA points and 52 VVA points), were collected in the Arizona East AOI and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
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.
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" : "Leica ALS 70 (ASI)",
"ldrmaxnr" : "4",
"ldrnps" : "2.44",
"ldrdens" : "0.64",
"ldranps" : "2.44",
"ldradens" : "0.64",
"ldrfltht" : "1981",
"ldrfltsp" : "150",
"ldrscana" : "40",
"ldrscanr" : "50",
"ldrpulsr" : "272",
"ldrpulsd" : "5",
"ldrpulsw" : "2.5",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.22",
"ldrswatw" : "1442",
"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"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ARIZONA
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > United States
Spatial
Continent > North America > United States Of America > Arizona > Pinal County
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
FEMA, USGS, Woolpert
Data Steward
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-111.585903405
-109.84874
34.45418
31.3323
Range
2018-01-06
2018-05-30
Collection date range for Arizona AOIs. See project report for specific date ranges for each lift.
No
Yes
No
No
No
Yes
58116010359
Unclassified
Data is available online for bulk or custom downloads
None
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.
2021-04-05
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9273/details/9273
2021
Organization
NOAA Office for Coastal Management
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.
Zip
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9273/supplemental/extent_femaR9_AZ_2018m9273.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9273/supplemental/CA_AZ_FEMA_R9_Lidar_2017_D18_Lidar_Project_Report.pdf
Lidar Project Report
Online Resource
PDF
Dataset report for lidar collection and processing.
Microsoft Windows 10 Version 1607 (Build 14393.2189); ArcMap 10.3; ArcCatalog 10.3; TerraScan ver. 17; TerraModeler ver. 17; Geocue 2017.2.20.0.
This project required Non-Vegetated Vertical Accuracy (NVA) to be tested on the raw lidar point cloud swath data. The dataset was required to meet a target value of 19.6 cm at a 95% confidence level using an RMSEz target value of 10 cm x 1.9600. Testing was assessed and reported using guidelines developed by the National Digital Elevation Program (NDEP) and the American Society for Photogrammetry and emote Sensing (ASPRS).
The raw NVA was to be calculated with independent checkpoints that were not used in the calibration or post processing of the lidar point cloud data. Checkpoints were to be distributed throughout the project
area and located in bare earth and urban (non-vegetated) land cover classes. Testing was performed using TINs created from the final calibrated and controlled swath data. For each NVA checkpoint, an elevation value was derived from the TIN at the point’s x,y location. This value was compared to the checkpoint’s surveyed elevation value.
For the California AOIs, the raw NVA was tested using 145 checkpoints. These checkpoints were surveyed using GPS techniques. See the survey report for acquisition methodologies. This dataset was tested to be
0.049 meters using an RMSEz of 0.096 meters x 1.9600.
For the Arizona AOIs, the raw NVA was tested using 94 checkpoints. These checkpoints were surveyed using GPS techniques. See the survey report for acquisition methodologies. This dataset was tested to be
0.119 meters using an RMSEz of 0.061 meters x 1.9600.
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.
Data covers the entire area specified for this project.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Data extent
Organization
Woolpert
Originator
2019-07-01
Discrete
2019-07-01
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.
Entwine Point Tiles on AWS
Organization
USFS
Originator
https://usgs.entwine.io/
USGS entwine point clouds
Hydro Breaklines
Organization
Woolpert
Originator
2019-07-01
Discrete
2019-07-01
This dataset includes hydro breaklines collected as part of this task order.
Lidar acquisition
Organization
Aerial Services, Inc.
Originator
2019-07-01
Discrete
2018-01-06
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.
Survey Control Acquisition
Organization
Woolpert
Originator
2019-07-01
Range
2018-05-19
2018-07-09
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.
Tile index
Organization
Woolpert
Originator
2019-07-01
Discrete
2019-07-01
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.
1
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.
2019-07-01T00:00:00
2
Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were reprojected horizontally to WGS84 web mercator (EPSG 3847) and no changes were made to the vertical (NAVD88 GEOID12B meters).
Entwine Point Tiles on AWS
3
References to the entwine point tiles and data reports were ingested into the Digital Coast Data Access Viewer. No changes to the data were made at this point. The Data Access Viewer will access the point cloud as it resides on AWS under the usgs-lidar-public container.
2021-04-05T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Entwine Point Tiles on AWS
gov.noaa.nmfs.inport:64504
Blake Waring
2021-04-05T15:26:23
SysAdmin InPortAdmin
2023-08-15T17:09:49
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16