2017 CA DWR Lidar: Sacramento Delta, CA
OCM Partners
Data Set
(DS)
| ID: 65524
| Published / External
Created: 2021-09-22
|
Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 65524
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2017 CA DWR Lidar: Sacramento Delta, CA |
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Short Name | |
* Status | Completed |
Creation Date | 2017 |
Revision Date | |
• Publication Date | 2019-06-03 |
* » Abstract |
Dataset Description: The CA Central Valley Lidar 2016 D16 Mod 002: CA Sacramento Delta Lidar 2017 D16 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 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2 Ground Conditions: Lidar was collected from December 9, 2017 through January 21, 2018 by Woolpert, while no snow was on the ground and rivers were at or below normal levels. Saturated or partially flooded farm fields were identified following data acquisition. Through technical guidance discussions with USGS and the California Department of Water, it was determined such areas shall not be considered hydrologic features. Intermittently, partially flooded, irregular, and apparently non-agricultural fields were treated as hydrologic features. In all cases, best professional judgement was used in determination of treatment. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 35 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 143 independent accuracy checkpoints (75 NVA points and 68 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. |
* Purpose |
Data was collected to be used for the following: terrain mapping, conservation planning and design, support of easement/land stewardship programs, support of special emphasis programs, support of soil projects, fill gaps in existing lidar, water resource management. |
Notes | |
Other Citation Details | |
• Supplemental Information |
USGS Contract No. G16PC00022 Task Order No. G16PD01047 (Mod 002). CONTRACTOR: Woolpert -<lidar> -<ldrinfo> <ldrspec>USGS NGP Base Specifications v1.2</ldrspec> <ldrsens>Leica ALS 80 (A-Flights)</ldrsens> <ldrmaxnr>Unlimited</ldrmaxnr> <ldrnps>0.35</ldrnps> <ldrdens>8</ldrdens> <ldranps>0.35</ldranps> <ldradens>8</ldradens> <ldrfltht>1524</ldrfltht> <ldrfltsp>130</ldrfltsp> <ldrscana>20</ldrscana> <ldrscanr>50.0</ldrscanr> <ldrpulsr>371.0</ldrpulsr> <ldrpulsd>5</ldrpulsd> <ldrpulsw>2.5</ldrpulsw> <ldrwavel>1064</ldrwavel> <ldrmpia>1</ldrmpia> <ldrbmdiv>0.20</ldrbmdiv> <ldrswatw>537</ldrswatw> <ldrswato>25</ldrswato> <ldrgeoid>GEOID12B</ldrgeoid> </ldrinfo> -<ldrinfo> <ldrspec>USGS NGP Base Specifications v1.2</ldrspec> <ldrsens>Leica ALS 80 (B-Flights)</ldrsens> <ldrmaxnr>Unlimited</ldrmaxnr> <ldrnps>0.35</ldrnps> <ldrdens>8</ldrdens> <ldranps>0.35</ldranps> <ldradens>8</ldradens> <ldrfltht>1829</ldrfltht> <ldrfltsp>130</ldrfltsp> <ldrscana>20</ldrscana> <ldrscanr>58.0</ldrscanr> <ldrpulsr>451.0</ldrpulsr> <ldrpulsd>5</ldrpulsd> <ldrpulsw>2.5</ldrpulsw> <ldrwavel>1064</ldrwavel> <ldrmpia>1</ldrmpia> <ldrbmdiv>0.20</ldrbmdiv> <ldrswatw>455</ldrswatw> <ldrswato>25</ldrswato> <ldrgeoid>GEOID12B</ldrgeoid> </ldrinfo> -<ldraccur> <ldrchacc>0</ldrchacc> <rawnva>0.107</rawnva> <rawnvan>75</rawnvan> <clsnva>0.099</clsnva> <clsnvan>75</clsnvan> <clsvva>0.289</clsvva> <clsvvan>68</clsvvan> </ldraccur> -<lasinfo> <lasver>1.4</lasver> <lasprf>6</lasprf> <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.</laswheld> <lasolap>Swath "overage" points were identified in these files using the standard LAS overlap bit.</lasolap> <lasintr>16</lasintr> -<lasclass> <clascode>1</clascode> <clasitem>Processed but not classified</clasitem> </lasclass> -<lasclass> <clascode>2</clascode> <clasitem>Bare earth ground</clasitem> </lasclass> -<lasclass> <clascode>7</clascode> <clasitem>Noise</clasitem> </lasclass> -<lasclass> <clascode>9</clascode> <clasitem>Water</clasitem> </lasclass> -<lasclass> <clascode>10</clascode> <clasitem>Ignored ground</clasitem> </lasclass> -<lasclass> <clascode>17</clascode> <clasitem>Bridge Decks</clasitem> </lasclass> -<lasclass> <clascode>18</clascode> <clasitem>High Noise</clasitem> </lasclass> </lasinfo> </lidar> |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA |
Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > SEA FLOOR |
None | Continent > North America > United States Of America > California > Alameda County |
None | Continent > North America > United States Of America > California > Contra Costa County |
None | Continent > North America > United States Of America > California > Sacramento County |
None | Continent > North America > United States Of America > California > San Joaquin County |
None | Continent > North America > United States Of America > California > Solano County |
None | Continent > North America > United States Of America > California > Yolo County |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords | Airplane > Airplane |
Global Change Master Directory (GCMD) Platform Keywords | DEM > Digital Elevation Model |
Physical Location
• » Organization | Office for Coastal Management |
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• » City | Charleston |
• » State/Province | SC |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
Distribution Liability |
None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and within the limitations of the data for which it was requested and prepared, in general, and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data. It is not appropriate to use the related graphics as data. Woolpert gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from a Woolpert server, and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully upon Woolpert'20190603s computer system, no warranty, expressed or implied, is made regarding the utility of the data on another system, or for general or scientific purposes; nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. |
Data Set Credit | Woolpert, CA Dept. of Water Resources (CA DWR), USGS |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2021 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2021 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2021 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2021 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
Date Effective To | |
* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -122.150072394 |
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* » E° Bound | -121.184315346 |
* » N° Bound | 38.6011303521 |
* » S° Bound | 37.6107102588 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2017-12-09 |
End | 2018-01-21 |
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Alternate End As Of Info | |
Description |
Spatial Information
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Spatial Representation
Grid Representation Used? | |
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Vector Representation Used? | Yes |
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Reference Systems
Reference System
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Access Information
Data License | |
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Data License URL | |
Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» Data Access Procedure |
Data is available online for bulk and custom downloads. |
• » Data Access Constraints |
None |
• Data 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2021-09-20 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8834/details/8834 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present) |
File Name | Customized Download |
Description |
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. |
File Date/Time | |
File Type (Deprecated) | Zip |
Distribution Format | |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2021-09-20 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8834/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in the original coordinate system. |
File Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
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Compression | Zip |
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Archive Information
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URLs
URL | https://coast.noaa.gov/ |
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Name | NOAA's Office for Coastal Management (OCM) website |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
Information on the NOAA Office for Coastal Management (OCM) |
URL | https://coast.noaa.gov/dataviewer/ |
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Name | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
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. |
URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9368/details/9368 |
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Name | Custom DEM Download |
URL Type | Online Resource |
File Resource Format | Zip |
Description |
Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8834/supplemental/CA_Sacramento_Lidar_2017_B16_Lidar_Project_Report.pdf |
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Name | Lidar Project Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the lidar project report. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8834/supplemental/CA_Sacramento_Lidar_2017_B16_Survey_Report.pdf |
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Name | Lidar Survey Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the lidar survey report. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8834/supplemental/ca2017_sacra_m8834.kmz |
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Name | Dataset footprint |
URL Type | Online Resource |
File Resource Format | kmz |
Description |
Link to the lidar footprint. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8834/breaklines/ |
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Name | Hydro breaklines |
URL Type | Online Resource |
File Resource Format | Zip |
Description |
Link to the hydro breaklines. |
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Activity Log
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Issues
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Issue |
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Author | |
Issue |
Technical Environment
Description |
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. |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
Vertical Positional Accuracy |
The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in non-vegetated land cover classes. The NVA was tested with 75 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standard for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. Tested 0.107 meters NVA at a 95% confidence level using RMSE(z) 0.055 x 1.9600 as defined by the National Standard for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 75 independent checkpoints located in non-vegetated land cover categories. |
Quantitation Limits | |
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Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
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. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | |
» Do these Data Comply with the Data Access Directive? | |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
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» Actual or Planned Long-Term Data Archive Location | |
» If World Data Center or Other, Specify | |
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain |
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» Approximate Delay Between Data Collection and Archiving | |
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
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Lineage
» Lineage Statement |
This data set was downloaded from the CA DWR http site and processed to make it available for custom download from the Data Access Viewer (DAV) and for bulk download from https. |
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Sources
Citation Title | CA DWR |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | CA DWR |
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Process Steps
Process Step Number | 1 |
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» Description |
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 0.7 meters 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. |
Process Date/Time | 2019-06-03 00:00:00 |
Process Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 2 |
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» Description |
The data was developed based on a horizontal datum/projection of NAD83 (NSRS2007) UTM Zone 10 (EPSG 3717) meters, and a vertical datum of NAVD88 (GEOID12B), US survey feet. lidar point cloud data was delivered as LAS 1.4 files formatted to 1,706 individual 1,500-meter x 1,500-meter tiles. Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: Approximately 1,312 square miles across several counties in central California. |
Process Date/Time | 2017-12-09 00:00:00 |
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Process Step Number | 3 |
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» Description |
The NOAA Office for Coastal Management (OCM) downloaded 1706 las format files from this CA DWR http site: http://gisarchive.cnra.ca.gov/iso/ImageryBaseMapsLandCover/LIDAR/DeltaLIDAR2017/point_cloud/tilecls/. The data were in UTM Zone 10 (NSRS 2007), meters coordinates and in NAVD88 (Geoid12B) elevations in US survey feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 10, 17, 18. 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 Geoid 12B model, to convert from vertical units of feet to meters, to convert from UTM Zone 10 (NSRS2007) meters coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to https. |
Process Date/Time | 2021-09-20 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
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Data Set (DS) | Cross Reference |
2017 CA DWR Lidar DEM: Sacramento Delta, CA |
Catalog Details
Catalog Item ID | 65524 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2021-09-22 15:16+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-10-17 16:12+0000 |
Metadata Record Published | 2022-03-16 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-03-16 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-03-16 |
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