gov.noaa.nmfs.inport:49638
eng
UTF8
dataset
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
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2007 California Department of Water Resources Topographic LiDAR: San Joaquin Delta
ca2007_cdwr_sanjoaquindelta_m2523_metadata
2013-08
publication
NOAA/NMFS/EDM
49638
https://www.fisheries.noaa.gov/inport/item/49638
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov/dataviewer
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Citation URL
Online Resource
download
https://coast.noaa.gov
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Citation URL
Online Resource
download
These data are from LIDAR flights of the Sacramento-San Joaquin Delta conducted during late January and February of 2007. The work was conducted under contract issued by
California Department of Water Resources to URS Corporation. The prime LIDAR creation subcontractor was EarthData International, (later Fugro EarthData), also known as EDI.
The principal aerial survey firm under subcontract to EDI was Airborne 1 Corporation. In effect, Airborne 1 performed the aerial survey, and EDI did the processing and deliverables
preparation. Also involved in the contract to URS was an independent QA/QC firm, Spectrum Mapping LLC.
The data was delivered to OCM as unclassified, multiple return elevation measurements and intensity in LAS V1.0 format. The NOAA OCM used an unsupervised classification algorithm to
classify the data into the following ASPRS classifications: Class 1 (Unclassified), Class 2 (Ground), and Class 7 (Noise) . Class 2 includes bare earth points and water points.
High-resolution digital elevation maps generated by airborne and stationary LiDAR have led to significant advances in geomorphology, the branch of
geoscience concerned with the origin and evolution of Earth's surface topography. LiDAR provides unique characteristics relative to other remotely sensed data sources
by providing three-dimensional feature information that cannot be derived from traditional imaging sensors.
California Department of Water Resources
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
asNeeded
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2523/supplemental/ca2007_cwdr_sanjoaquindelta_footprint.KMZ
This graphic shows the lidar coverage for the San Joaquin Delta in California. The data covers partial portions of Yolo, Sacramento, Solano, San Joaquin, Contra Costa, and Alameda Counties.
kmz
point cloud
theme
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2007 California Department of Water Resources Topographic LiDAR: San Joaquin Delta [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49638.
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
Access Constraints: None
otherRestrictions
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. These data
depict the heights at the time of the survey and are only accurate for that time.
otherRestrictions
Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility
of the California Department of Water Resources, USGS, Fugro EarthData Inc, Airborne 1, Spectrum Mapping Inc, NOAA, the Office for Coastal Management or its partners.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
49638
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49638.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
elevation
-122.140593
-121.182752
37.60116
38.592147
| Currentness: Ground Condition
2007-01-01
2007-02-01
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2523/supplemental/ca2007_cwdr_sanjoaquindelta_footprint.KMZ
false
eng
false
none
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=2523
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/2523/index.html
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
download
dataset
Accuracy
The identification of features is provided by the distinct electromagnetic energy it emits,reflects, or otherwise transmits. This is called the spectral signature.
Other signatures such as tone (lightness or darkness), texture (surface roughness or smoothness), pattern,shadow, shape, and size are as important. Thus, through the
use of the thematic mapper sensor, such elements as water features, soils, and vegetation can be identified and distinguished from each other.
Horizontal Positional Accuracy
1.0m (3.28ft) @ 1 sigma; Quantitative Value: 1.0 meters, Test that produced the value: Horizontal accuracy @ 1 sigma
Vertical Positional Accuracy
Data set tested to meet FVA of 9.4 cm RMSEz. (18.5cm (0.6ft) @ 95% confidence level, 15cm (0.5ft) @ 90% confidence level.; Quantitative Value: .094 meters, Test that produced the value: Tested to meet RMSEz of 9.4 cm Accuracyz = RMSEz X 1.9600 at the 95% confidence level.
Completeness Report
The lidar collection has been acquired by the CWDR and is only distributed by the NOAA Office for Coastal Management. While the OCM tries to ensure data quality, there is no warranty as to the accuracy,
reliability or completeness of the lidar data.
Conceptual Consistency
All data formatted by OCM validated using commercial GIS software to ensure proper formatting and loading.
The NOAA Office for Coastal Management (OCM) received topographic files in LAS format. The files contained lidar
elevation and intensity measurements. The data were received in projected UTM Zone 10N, NAD83 coordinates
and were vertically referenced to NAVD88. The vertical units of the data were meters. OCM performed the following processing
for data storage and Digital Coast provisioning purposes:
1. The unclassified LAS files were classified by NOAA OCM using MARS7 software. The data contains Class 1 (Unclassified), Class 2 (Ground), and Class 7 (Noise).
2. The LAS files were retiled into 1500x1500 meters tiles using MARS7 software.
3. The LAS files' Class 2 (Ground) points were rechecked for High/Low Noise. If points were found they were removed from the data.
4. Horizontally the data was converted from projected UTM Zone 10N coordinates (meters) to geographic NAD83 coordinates (decimal degrees).
5. Vertically the data was converted from orthometric NAVD88 heights (meters) to ellipsoidal NAD83 (meters) using GEOID03 (Geoid model assumed).
2013-04-01T00:00:00